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--git a/.github/workflows/publish-to-pypi.yml b/.github/workflows/publish-to-pypi.yml new file mode 100644 index 0000000..fd658ce --- /dev/null +++ b/.github/workflows/publish-to-pypi.yml @@ -0,0 +1,54 @@ +name: Publish Python ๐Ÿ distribution ๐Ÿ“ฆ to PyPI + +on: + release: + types: [created] + +jobs: + build: + name: Build distribution ๐Ÿ“ฆ + runs-on: ubuntu-latest + + steps: + - uses: actions/checkout@v4 + with: + persist-credentials: false + - name: Set up Python + uses: actions/setup-python@v5 + with: + python-version: "3.x" + - name: Install pypa/build + run: >- + python3 -m + pip install + build + --user + - name: Build a binary wheel and a source tarball + run: python3 -m build + - name: Store the distribution packages + uses: actions/upload-artifact@v4 + with: + name: python-package-distributions + path: dist/ + + publish-to-pypi: + name: >- + Publish Python ๐Ÿ distribution ๐Ÿ“ฆ to PyPI + if: startsWith(github.ref, 'refs/tags/') # only publish to PyPI on tag pushes + needs: 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VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning

+ +

+ English | ไธญๆ–‡ +

+ +

+ Project Page + Live Playground + Documentation + Hugging Face + ModelScope + DemoPage + VoxCPM2 Technical Report +

+ +
+ VoxCPM Logo +

+ OpenBMB%2FVoxCPM | Trendshift +
+ +
+ +

+ ๐Ÿ‘‹ Join our community for discussion and support! +
+ + Feishu + +  |  + + Discord + +

+ +VoxCPM is a **tokenizer-free** Text-to-Speech system that directly generates continuous speech representations via an end-to-end **diffusion autoregressive architecture**, bypassing discrete tokenization to achieve highly natural and expressive synthesis. + +**VoxCPM2** is the latest major release โ€” a **2B** parameter model trained on **over 2 million hours** of multilingual speech data, now supporting **30 languages**, **Voice Design**, **Controllable Voice Cloning**, and **48kHz** studio-quality audio output. Built on a [MiniCPM-4](https://github.com/OpenBMB/MiniCPM) backbone. + +### โœจ Highlights + +- ๐ŸŒ **30-Language Multilingual** โ€” Input text in any of the 30 supported languages and synthesize directly, no language tag needed +- ๐ŸŽจ **Voice Design** โ€” Create a brand-new voice from a natural-language description alone (gender, age, tone, emotion, pace โ€ฆ), no reference audio required +- ๐ŸŽ›๏ธ **Controllable Cloning** โ€” Clone any voice from a short reference clip, with optional style guidance to steer emotion, pace, and expression while preserving the original timbre +- ๐ŸŽ™๏ธ **Ultimate Cloning** โ€” Reproduce every vocal nuance: provide both reference audio and its transcript, and the model continues seamlessly from the reference, faithfully preserving every vocal detail โ€” timbre, rhythm, emotion, and style (same as VoxCPM1.5) +- ๐Ÿ”Š **48kHz High-Quality Audio** โ€” Accepts 16kHz reference audio and directly outputs 48kHz studio-quality audio via AudioVAE V2's asymmetric encode/decode design, with built-in super-resolution โ€” no external upsampler needed +- ๐Ÿง  **Context-Aware Synthesis** โ€” Automatically infers appropriate prosody and expressiveness from text content +- โšก **Real-Time Streaming** โ€” RTF as low as ~0.3 on NVIDIA RTX 4090, and ~0.13 accelerated by [Nano-vLLM](https://github.com/a710128/nanovllm-voxcpm) or [vLLM-Omni](https://github.com/vllm-project/vllm-omni) โ€” official vLLM omni-modal serving for VoxCPM2 with PagedAttention and an OpenAI-compatible API +- ๐Ÿ“œ **Fully Open-Source & Commercial-Ready** โ€” Weights and code released under the [Apache-2.0](LICENSE) license, free for commercial use + +**๐ŸŒ Supported Languages (30)** +Arabic, Burmese, Chinese, Danish, Dutch, English, Finnish, French, German, Greek, Hebrew, Hindi, Indonesian, Italian, Japanese, Khmer, Korean, Lao, Malay, Norwegian, Polish, Portuguese, Russian, Spanish, Swahili, Swedish, Tagalog, Thai, Turkish, Vietnamese + +Chinese Dialect: ๅ››ๅท่ฏ, ็ฒค่ฏญ, ๅด่ฏญ, ไธœๅŒ—่ฏ, ๆฒณๅ—่ฏ, ้™•่ฅฟ่ฏ, ๅฑฑไธœ่ฏ, ๅคฉๆดฅ่ฏ, ้—ฝๅ—่ฏ + +### News + +- **[2026.04]** ๐Ÿ”ฅ We release **VoxCPM2** โ€” 2B, 30 languages, Voice Design & Controllable Voice Cloning, 48kHz audio output! [Weights](https://huggingface.co/openbmb/VoxCPM2) | [Docs](https://voxcpm.readthedocs.io/en/latest/) | [Playground](https://huggingface.co/spaces/OpenBMB/VoxCPM-Demo) | [Technical Report](https://arxiv.org/abs/2606.06928) +- **[2025.12]** ๐ŸŽ‰ Open-source **VoxCPM1.5** [weights](https://huggingface.co/openbmb/VoxCPM1.5) with SFT & LoRA fine-tuning. (**๐Ÿ† #1 GitHub Trending**) +- **[2025.09]** ๐Ÿ”ฅ Release VoxCPM [Technical Report](https://arxiv.org/abs/2509.24650). +- **[2025.09]** ๐ŸŽ‰ Open-source **VoxCPM-0.5B** [weights](https://huggingface.co/openbmb/VoxCPM-0.5B) (**๐Ÿ† #1 HuggingFace Trending**) + +--- + +## Contents + +- [Quick Start](#-quick-start) + - [Installation](#installation) + - [Python API](#python-api) + - [CLI Usage](#cli-usage) + - [Web Demo](#web-demo) + - [Production Deployment](#-production-deployment-nano-vllm) + - [On-Device Inference (llama.cpp-omni)](#-on-device-inference-llamacpp-omni) +- [Models & Versions](#-models--versions) +- [Performance](#-performance) +- [Fine-tuning](#%EF%B8%8F-fine-tuning) +- [Documentation](#-documentation) +- [Ecosystem & Community](#-ecosystem--community) +- [Risks and Limitations](#%EF%B8%8F-risks-and-limitations) +- [Citation](#-citation) + +--- + +## ๐Ÿš€ Quick Start + +### Installation + +```sh +pip install voxcpm +``` + +> **Requirements:** Python โ‰ฅ 3.10 (<3.13), PyTorch โ‰ฅ 2.5.0, CUDA โ‰ฅ 12.0. See [Quick Start Docs](https://voxcpm.readthedocs.io/en/latest/quickstart.html) for details. + +### Python API + +#### ๐Ÿ—ฃ๏ธ Text-to-Speech + +```python +from voxcpm import VoxCPM +import soundfile as sf + +model = VoxCPM.from_pretrained( + "openbmb/VoxCPM2", + load_denoiser=False, +) + +wav = model.generate( + text="VoxCPM2 is the current recommended release for realistic multilingual speech synthesis.", + cfg_value=2.0, + inference_timesteps=10, + seed=42, +) +sf.write("demo.wav", wav, model.tts_model.sample_rate) +print("saved: demo.wav") +``` + +If you prefer downloading from ModelScope first, you can use: + +```bash +pip install modelscope +``` + +```python +from modelscope import snapshot_download +snapshot_download("OpenBMB/VoxCPM2", local_dir='./pretrained_models/VoxCPM2') # specify the local directory to save the model + +from voxcpm import VoxCPM +import soundfile as sf +model = VoxCPM.from_pretrained("./pretrained_models/VoxCPM2", load_denoiser=False) + +wav = model.generate( + text="VoxCPM2 is the current recommended release for realistic multilingual speech synthesis.", + cfg_value=2.0, + inference_timesteps=10, + seed=42, +) +sf.write("demo.wav", wav, model.tts_model.sample_rate) +``` + +#### ๐ŸŽจ Voice Design + +Create a voice from a natural-language description โ€” no reference audio needed. **Format:** put the description in parentheses at the start of `text`(e.g. `"(your voice description)The text to synthesize."`): + +```python +wav = model.generate( + text="(A young woman, gentle and sweet voice)Hello, welcome to VoxCPM2!", + cfg_value=2.0, + inference_timesteps=10, + seed=42, +) +sf.write("voice_design.wav", wav, model.tts_model.sample_rate) +``` + +#### ๐ŸŽ›๏ธ Controllable Voice Cloning + +Upload a reference audio. The model clones the timbre, and you can still use control instructions to adjust speed, emotion, or style. + +```python +wav = model.generate( + text="This is a cloned voice generated by VoxCPM2.", + reference_wav_path="path/to/voice.wav", +) +sf.write("clone.wav", wav, model.tts_model.sample_rate) + +wav = model.generate( + text="(slightly faster, cheerful tone)This is a cloned voice with style control.", + reference_wav_path="path/to/voice.wav", + cfg_value=2.0, + inference_timesteps=10, + seed=42, +) +sf.write("controllable_clone.wav", wav, model.tts_model.sample_rate) +``` + +#### ๐ŸŽ™๏ธ Ultimate Cloning + +Provide both the reference audio and its exact transcript for audio-continuation-based cloning with every vocal nuance reproduced. For maximum cloning similarity, pass the same reference clip to both `reference_wav_path` and `prompt_wav_path` as shown below: + +```python +wav = model.generate( + text="This is an ultimate cloning demonstration using VoxCPM2.", + prompt_wav_path="path/to/voice.wav", + prompt_text="The transcript of the reference audio.", + reference_wav_path="path/to/voice.wav", # optional, for better simliarity +) +sf.write("hifi_clone.wav", wav, model.tts_model.sample_rate) +``` + +**๐Ÿ”„ Streaming API** + +```python +import numpy as np + +chunks = [] +for chunk in model.generate_streaming( + text="Streaming text to speech is easy with VoxCPM!", +): + chunks.append(chunk) +wav = np.concatenate(chunks) +sf.write("streaming.wav", wav, model.tts_model.sample_rate) +``` + + + +### CLI Usage + +```bash +# Voice design (no reference audio needed) +voxcpm design \ + --text "VoxCPM2 brings studio-quality multilingual speech synthesis." \ + --output out.wav + +# Controllable voice cloning with style control +voxcpm design \ + --text "VoxCPM2 brings studio-quality multilingual speech synthesis." \ + --control "Young female voice, warm and gentle, slightly smiling" \ + --seed 42 \ + --output out.wav + +# Voice cloning (reference audio) +voxcpm clone \ + --text "This is a voice cloning demo." \ + --reference-audio path/to/voice.wav \ + --output out.wav + +# Ultimate cloning (prompt audio + transcript) +voxcpm clone \ + --text "This is a voice cloning demo." \ + --prompt-audio path/to/voice.wav \ + --prompt-text "reference transcript" \ + --reference-audio path/to/voice.wav \ # optional, for better simliarity + --output out.wav + +# Batch processing +voxcpm batch --input examples/input.txt --output-dir outs + +# Optional post-generation timestamps with stable-ts +pip install "voxcpm[timestamps]" +voxcpm design \ + --text "VoxCPM2 brings studio-quality multilingual speech synthesis." \ + --output out.wav \ + --timestamps \ + --timestamp-level word \ + --timestamp-language en + +# Character timestamps are best-effort and are derived from word alignment +voxcpm design \ + --text "ๆฌข่ฟŽไฝฟ็”จ VoxCPM2ใ€‚" \ + --output out.wav \ + --timestamps \ + --timestamp-level char \ + --timestamp-language zh + +# Help +voxcpm --help +``` + +### Web Demo + +```bash +python app.py --port 8808 # then open in browser: http://localhost:8808 +``` + +Use `--device` to choose the runtime device: + +```bash +python app.py --device auto +``` + +Supported values are `auto`, `cpu`, `mps`, `cuda`, and `cuda:N`. On Apple Silicon Macs, `auto` uses MPS when available. + +### ๐Ÿšข Production Deployment (Nano-vLLM) + +For high-throughput serving, use **[Nano-vLLM-VoxCPM](https://github.com/a710128/nanovllm-voxcpm)** โ€” a dedicated inference engine built on Nano-vLLM with concurrent request support and an async API. + +```bash +pip install nano-vllm-voxcpm +``` + +```python +from nanovllm_voxcpm import VoxCPM +import numpy as np, soundfile as sf + +server = VoxCPM.from_pretrained(model="/path/to/VoxCPM", devices=[0]) +chunks = list(server.generate(target_text="Hello from VoxCPM!")) +sf.write("out.wav", np.concatenate(chunks), 48000) +server.stop() +``` + +> **RTF as low as ~0.13 on NVIDIA RTX 4090** (vs ~0.3 with the standard PyTorch implementation), with support for batched concurrent requests and a FastAPI HTTP server. See the [Nano-vLLM-VoxCPM repo](https://github.com/a710128/nanovllm-voxcpm) for deployment details. + +### ๐Ÿญ Production Serving (vLLM-Omni) + +For production multi-tenant deployments, use **[vLLM-Omni](https://github.com/vllm-project/vllm-omni)** โ€” the official vLLM project's omni-modal extension with native **VoxCPM2** support. PagedAttention KV cache, continuous batching, and a drop-in **OpenAI-compatible** `/v1/audio/speech` endpoint. + +```bash +# Install from source (latest main โ€” vllm-omni is rapidly evolving) +uv pip install vllm==0.19.0 --torch-backend=auto +git clone https://github.com/vllm-project/vllm-omni.git && cd vllm-omni +uv pip install -e . +``` + +See the [vLLM-Omni installation guide](https://vllm-omni.readthedocs.io/en/latest/getting_started/installation/) for other platforms (ROCm, XPU, MUSA, NPU) and Docker images. + +```bash +# Launch an OpenAI-compatible TTS server (--omni enables omni-modal serving) +vllm serve openbmb/VoxCPM2 --omni --port 8000 + +# Call it from any OpenAI client +curl http://localhost:8000/v1/audio/speech \ + -H "Content-Type: application/json" \ + -d '{"model":"openbmb/VoxCPM2","input":"Hello from VoxCPM2 on vLLM-Omni!","voice":"default"}' \ + --output out.wav +``` + +> Built on the upstream vLLM scheduler, with batched concurrent requests, streaming chunk delivery, and multi-GPU deployment out of the box. See the [VoxCPM2 example](https://github.com/vllm-project/vllm-omni/tree/main/examples/online_serving/voxcpm2) for full deployment recipes. + +### ๐Ÿ“ฑ On-Device Inference (llama.cpp-omni) + +For on-device / edge deployment without Python, use **[llama.cpp-omni](https://github.com/tc-mb/llama.cpp-omni)** โ€” a high-performance C++ inference engine built on llama.cpp, with native VoxCPM2 GGUF support on **CPU / Metal / CUDA / Vulkan**. + +**1. Download GGUF weights** from [HuggingFace](https://huggingface.co/DennisHuang648/VoxCPM2-GGUF) | [ModelScope](https://modelscope.cn/models/DennisHuang/VoxCPM2-GGUF) โ€” you need one **BaseLM** (F16 or Q8_0) + the **Acoustic** file. Q8_0 halves the download with negligible quality loss. + +**2. Build** + +```bash +git clone https://github.com/tc-mb/llama.cpp-omni.git && cd llama.cpp-omni +cmake -B build -DCMAKE_BUILD_TYPE=Release +cmake --build build --target voxcpm2-cli -j +``` + +> CMake auto-detects Metal (macOS) or CUDA (Linux with NVIDIA GPU). + +**3. Run** + +```bash +# Basic TTS +./build/bin/voxcpm2-cli \ + -t "Hello, this is VoxCPM2 running through llama.cpp-omni." \ + -o output.wav VoxCPM2-BaseLM-Q8_0.gguf VoxCPM2-Acoustic-F16.gguf + +# Voice cloning (reference audio) +./build/bin/voxcpm2-cli \ + -t "Cloned voice." -r speaker.wav -o clone.wav \ + VoxCPM2-BaseLM-Q8_0.gguf VoxCPM2-Acoustic-F16.gguf + +# Ultimate cloning (reference audio + transcript) +./build/bin/voxcpm2-cli \ + -t "Target text." --prompt-wav speaker.wav --prompt-text "transcript of speaker.wav" \ + -o clone.wav VoxCPM2-BaseLM-Q8_0.gguf VoxCPM2-Acoustic-F16.gguf +``` + +> **RTF ~1.76 (Q8_0) on Apple M4 Pro / Metal.** Key flags: `--cfg` (guidance scale), `--timesteps` (CFM steps), `--seed`, `--temperature`, `--stream`. See the [llama.cpp-omni repo](https://github.com/tc-mb/llama.cpp-omni) and [GGUF weights page](https://huggingface.co/DennisHuang648/VoxCPM2-GGUF) for full details. + +> **Full parameter reference, multi-scenario examples, and voice cloning tips โ†’** [Quick Start Guide](https://voxcpm.readthedocs.io/en/latest/quickstart.html) | [Usage Guide](https://voxcpm.readthedocs.io/en/latest/usage_guide.html) | [Cookbook](https://voxcpm.readthedocs.io/en/latest/cookbook.html) + +--- + +## ๐Ÿ“ฆ Models & Versions + + +| | **VoxCPM2** | **VoxCPM1.5** | **VoxCPM-0.5B** | +| ------------------------------- | ---------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------ | +| **Status** | ๐ŸŸข Latest | Stable | Legacy | +| **Backbone Parameters** | 2B | 0.6B | 0.5B | +| **Audio Sample Rate** | 48kHz | 44.1kHz | 16kHz | +| **LM Token Rate** | 6.25Hz | 6.25Hz | 12.5Hz | +| **Languages** | 30 | 2 (zh, en) | 2 (zh, en) | +| **Cloning Mode** | Isolated Reference & Continuation | Continuation only | Continuation only | +| **Voice Design** | โœ… | โ€” | โ€” | +| **Controllable Voice Cloning** | โœ… | โ€” | โ€” | +| **SFT / LoRA** | โœ… | โœ… | โœ… | +| **RTF (RTX 4090)** | ~0.30 | ~0.15 | ~0.17 | +| **RTF in Nano-VLLM (RTX 4090)** | ~0.13 | ~0.08 | ~0.10 | +| **VRAM** | ~8 GB | ~6 GB | ~5 GB | +| **Weights** | [๐Ÿค— HF](https://huggingface.co/openbmb/VoxCPM2) / [MS](https://modelscope.cn/models/OpenBMB/VoxCPM2) | [๐Ÿค— HF](https://huggingface.co/openbmb/VoxCPM1.5) / [MS](https://modelscope.cn/models/OpenBMB/VoxCPM1.5) | [๐Ÿค— HF](https://huggingface.co/openbmb/VoxCPM-0.5B) / [MS](https://modelscope.cn/models/OpenBMB/VoxCPM-0.5B) | +| **Technical Report** | [arXiv](https://arxiv.org/abs/2606.06928) | โ€” | [arXiv](https://arxiv.org/abs/2509.24650) [ICLR 2026](https://openreview.net/forum?id=h5KLpGoqzC) | +| **Demo Page** | [Audio Samples](https://openbmb.github.io/voxcpm2-demopage) | โ€” | [Audio Samples](https://openbmb.github.io/VoxCPM-demopage) | + + +VoxCPM2 is built on a **tokenizer-free, diffusion autoregressive** paradigm. The model operates entirely in the latent space of **AudioVAE V2**, following a four-stage pipeline: **LocEnc โ†’ TSLM โ†’ RALM โ†’ LocDiT**, enabling rich expressiveness and 48kHz native audio output. + +
+ VoxCPM2 Model Architecture +
+ +> For full architectural details, VoxCPM2-specific upgrades, and a model comparison table, see the [Architecture Design](https://voxcpm.readthedocs.io/en/latest/models/architecture.html). + +--- + +## ๐Ÿ“Š Performance + +VoxCPM2 achieves state-of-the-art or comparable results on public zero-shot and controllable TTS benchmarks. + +### Seed-TTS-eval + +**Seed-TTS-eval WER(โฌ‡)&SIM(โฌ†) Results (click to expand)** + + +| Model | Parameters | Open-Source | test-EN | | test-ZH | | test-Hard | | +| ----------------- | ---------- | ----------- | ------- | ------ | ------- | ------ | --------- | ------ | +| | | | WER/%โฌ‡ | SIM/%โฌ† | CER/%โฌ‡ | SIM/%โฌ† | CER/%โฌ‡ | SIM/%โฌ† | +| MegaTTS3 | 0.5B | โŒ | 2.79 | 77.1 | 1.52 | 79.0 | - | - | +| DiTAR | 0.6B | โŒ | 1.69 | 73.5 | 1.02 | 75.3 | - | - | +| CosyVoice3 | 0.5B | โŒ | 2.02 | 71.8 | 1.16 | 78.0 | 6.08 | 75.8 | +| CosyVoice3 | 1.5B | โŒ | 2.22 | 72.0 | 1.12 | 78.1 | 5.83 | 75.8 | +| Seed-TTS | - | โŒ | 2.25 | 76.2 | 1.12 | 79.6 | 7.59 | 77.6 | +| MiniMax-Speech | - | โŒ | 1.65 | 69.2 | 0.83 | 78.3 | - | - | +| F5-TTS | 0.3B | โœ… | 2.00 | 67.0 | 1.53 | 76.0 | 8.67 | 71.3 | +| MaskGCT | 1B | โœ… | 2.62 | 71.7 | 2.27 | 77.4 | - | - | +| CosyVoice | 0.3B | โœ… | 4.29 | 60.9 | 3.63 | 72.3 | 11.75 | 70.9 | +| CosyVoice2 | 0.5B | โœ… | 3.09 | 65.9 | 1.38 | 75.7 | 6.83 | 72.4 | +| SparkTTS | 0.5B | โœ… | 3.14 | 57.3 | 1.54 | 66.0 | - | - | +| FireRedTTS | 0.5B | โœ… | 3.82 | 46.0 | 1.51 | 63.5 | 17.45 | 62.1 | +| FireRedTTS-2 | 1.5B | โœ… | 1.95 | 66.5 | 1.14 | 73.6 | - | - | +| Qwen2.5-Omni | 7B | โœ… | 2.72 | 63.2 | 1.70 | 75.2 | 7.97 | 74.7 | +| Qwen3-Omni | 30B-A3B | โœ… | 1.39 | - | 1.07 | - | - | - | +| OpenAudio-s1-mini | 0.5B | โœ… | 1.94 | 55.0 | 1.18 | 68.5 | 23.37 | 64.3 | +| IndexTTS2 | 1.5B | โœ… | 2.23 | 70.6 | 1.03 | 76.5 | 7.12 | 75.5 | +| VibeVoice | 1.5B | โœ… | 3.04 | 68.9 | 1.16 | 74.4 | - | - | +| HiggsAudio-v2 | 3B | โœ… | 2.44 | 67.7 | 1.50 | 74.0 | 55.07 | 65.6 | +| VoxCPM-0.5B | 0.6B | โœ… | 1.85 | 72.9 | 0.93 | 77.2 | 8.87 | 73.0 | +| VoxCPM1.5 | 0.8B | โœ… | 2.12 | 71.4 | 1.18 | 77.0 | 7.74 | 73.1 | +| MOSS-TTS | | โœ… | 1.85 | 73.4 | 1.20 | 78.8 | - | - | +| Qwen3-TTS | 1.7B | โœ… | 1.23 | 71.7 | 1.22 | 77.0 | 6.76 | 74.8 | +| FishAudio S2 | 4B | โœ… | 0.99 | - | 0.54 | - | 5.99 | - | +| LongCat-Audio-DiT | 3.5B | โœ… | 1.50 | 78.6 | 1.09 | 81.8 | 6.04 | 79.7 | +| **VoxCPM2** | 2B | โœ… | 1.84 | 75.3 | 0.97 | 79.5 | 8.13 | 75.3 | + + + + +### CV3-eval + +**CV3-eval Multilingual WER/CER(โฌ‡) Results (click to expand)** + + +| Model | zh | en | hard-zh | hard-en | ja | ko | de | es | fr | it | ru | +| --------------- | ---- | ---- | ------- | ------- | ---- | ---- | ---- | ---- | ---- | ---- | ---- | +| CosyVoice2 | 4.08 | 6.32 | 12.58 | 11.96 | 9.13 | 19.7 | - | - | - | - | - | +| CosyVoice3-1.5B | 3.91 | 4.99 | 9.77 | 10.55 | 7.57 | 5.69 | 6.43 | 4.47 | 11.8 | 10.5 | 6.64 | +| Fish Audio S2 | 2.65 | 2.43 | 9.10 | 4.40 | 3.96 | 2.76 | 2.22 | 2.00 | 6.26 | 2.04 | 2.78 | +| **VoxCPM2** | 3.65 | 5.00 | 8.55 | 8.48 | 5.96 | 5.69 | 4.77 | 3.80 | 9.85 | 4.25 | 5.21 | + + + + +### MiniMax-Multilingual-Test + +**Minimax-MLS-test WER(โฌ‡) Results (click to expand)** + + +| Language | Minimax | ElevenLabs | Qwen3-TTS | FishAudio S2 | **VoxCPM2** | +| ---------- | --------- | ---------- | --------- | ------------ | ----------- | +| Arabic | **1.665** | 1.666 | โ€“ | 3.500 | 13.046 | +| Cantonese | 34.111 | 51.513 | โ€“ | **30.670** | 38.584 | +| Chinese | 2.252 | 16.026 | 0.928 | **0.730** | 1.136 | +| Czech | 3.875 | **2.108** | โ€“ | 2.840 | 24.132 | +| Dutch | 1.143 | **0.803** | โ€“ | 0.990 | 0.913 | +| English | 2.164 | 2.339 | **0.934** | 1.620 | 2.289 | +| Finnish | 4.666 | 2.964 | โ€“ | 3.330 | **2.632** | +| French | 4.099 | 5.216 | **2.858** | 3.050 | 4.534 | +| German | 1.906 | 0.572 | 1.235 | **0.550** | 0.679 | +| Greek | 2.016 | **0.991** | โ€“ | 5.740 | 2.844 | +| Hindi | 6.962 | **5.827** | โ€“ | 14.640 | 19.699 | +| Indonesian | 1.237 | **1.059** | โ€“ | 1.460 | 1.084 | +| Italian | 1.543 | 1.743 | **0.948** | 1.270 | 1.563 | +| Japanese | 3.519 | 10.646 | 3.823 | **2.760** | 4.628 | +| Korean | 1.747 | 1.865 | 1.755 | **1.180** | 1.962 | +| Polish | 1.415 | **0.766** | โ€“ | 1.260 | 1.141 | +| Portuguese | 1.877 | 1.331 | 1.526 | **1.140** | 1.938 | +| Romanian | 2.878 | **1.347** | โ€“ | 10.740 | 21.577 | +| Russian | 4.281 | 3.878 | 3.212 | **2.400** | 3.634 | +| Spanish | 1.029 | 1.084 | 1.126 | **0.910** | 1.438 | +| Thai | 2.701 | 73.936 | โ€“ | 4.230 | 2.961 | +| Turkish | 1.52 | 0.699 | โ€“ | 0.870 | 0.817 | +| Ukrainian | 1.082 | **0.997** | โ€“ | 2.300 | 6.316 | +| Vietnamese | **0.88** | 73.415 | โ€“ | 7.410 | 3.307 | + + + + +**Minimax-MLS-test SIM(โฌ†) Results (click to expand)** + + +| Language | Minimax | ElevenLabs | Qwen3-TTS | FishAudio S2 | **VoxCPM2** | +| ---------- | -------- | ---------- | --------- | ------------ | ----------- | +| Arabic | 73.6 | 70.6 | โ€“ | 75.0 | **79.1** | +| Cantonese | 77.8 | 67.0 | โ€“ | 80.5 | **83.5** | +| Chinese | 78.0 | 67.7 | 79.9 | 81.6 | **82.5** | +| Czech | 79.6 | 68.5 | โ€“ | **79.8** | 78.3 | +| Dutch | 73.8 | 68.0 | โ€“ | 73.0 | **80.8** | +| English | 75.6 | 61.3 | 77.5 | 79.7 | **85.4** | +| Finnish | 83.5 | 75.9 | โ€“ | 81.9 | **89.0** | +| French | 62.8 | 53.5 | 62.8 | 69.8 | **73.5** | +| German | 73.3 | 61.4 | 77.5 | 76.7 | **80.3** | +| Greek | 82.6 | 73.3 | โ€“ | 79.5 | **86.0** | +| Hindi | 81.8 | 73.0 | โ€“ | 82.1 | **85.6** | +| Indonesian | 72.9 | 66.0 | โ€“ | 76.3 | **80.0** | +| Italian | 69.9 | 57.9 | 81.7 | 74.7 | **78.0** | +| Japanese | 77.6 | 73.8 | 78.8 | 79.6 | **82.8** | +| Korean | 77.6 | 70.0 | 79.9 | 81.7 | **83.3** | +| Polish | 80.2 | 72.9 | โ€“ | 81.9 | **88.4** | +| Portuguese | 80.5 | 71.1 | 81.7 | 78.1 | **83.7** | +| Romanian | **80.9** | 69.9 | โ€“ | 73.3 | 79.7 | +| Russian | 76.1 | 67.6 | 79.2 | 79.0 | **81.1** | +| Spanish | 76.2 | 61.5 | 81.4 | 77.6 | **83.1** | +| Thai | 80.0 | 58.8 | โ€“ | 78.6 | **84.0** | +| Turkish | 77.9 | 59.6 | โ€“ | 83.5 | **87.1** | +| Ukrainian | 73.0 | 64.7 | โ€“ | 74.7 | **79.8** | +| Vietnamese | 74.3 | 36.9 | โ€“ | 74.0 | **80.6** | + + + + +### Internal 30-Language ASR Benchmark + +We additionally run an internal multilingual intelligibility benchmark with **30 languages ร— 500 samples**. ASR transcription is evaluated via **Gemini 3.1 Flash Lite API**. + +**Internal 30-Language ASR Benchmark (click to expand)** + + +| Language | Metric | VoxCPM2 | Fish S2-Pro | +| ---------------------- | ------ | --------- | ----------- | +| ar (Arabic) | CER | 1.23% | 0.30% | +| da (Danish) | WER | 2.70% | 3.52% | +| de (German) | WER | 0.96% | 0.64% | +| el (Greek) | WER | 3.17% | 4.61% | +| en (English) | WER | 0.42% | 1.03% | +| es (Spanish) | WER | 1.33% | 0.64% | +| fi (Finnish) | WER | 2.24% | 2.80% | +| fr (French) | WER | 2.16% | 2.34% | +| he (Hebrew) | CER | 2.98% | 15.27% | +| hi (Hindi) | CER | 0.79% | 0.91% | +| id (Indonesian) | WER | 1.36% | 1.68% | +| it (Italian) | WER | 1.65% | 1.08% | +| ja (Japanese) | CER | 2.40% | 1.82% | +| km (Khmer) | CER | 2.05% | 75.15% | +| ko (Korean) | CER | 0.95% | 0.29% | +| lo (Lao) | CER | 1.90% | 87.40% | +| ms (Malay) | WER | 1.75% | 1.41% | +| my (Burmese) | CER | 1.42% | 85.27% | +| nl (Dutch) | WER | 1.25% | 1.68% | +| no (Norwegian) | WER | 2.49% | 3.76% | +| pl (Polish) | WER | 1.90% | 1.65% | +| pt (Portuguese) | WER | 1.48% | 1.49% | +| ru (Russian) | WER | 0.90% | 0.86% | +| sv (Swedish) | WER | 2.22% | 2.63% | +| sw (Swahili) | CER | 1.07% | 2.02% | +| th (Thai) | CER | 0.94% | 1.92% | +| tl (Tagalog) | WER | 2.63% | 4.00% | +| tr (Turkish) | WER | 1.65% | 1.65% | +| vi (Vietnamese) | WER | 1.56% | 5.56% | +| zh (Chinese) | CER | 0.92% | 1.02% | +| Average (30 languages) | | **1.68%** | - | + + + + +### InstructTTSEval + +**Instruction-Guided Voice Design Results (click to expand)** + + +| Model | InstructTTSEval-ZH | | | InstructTTSEval-EN | | | +| ---------------------- | ------------------ | -------- | -------- | ------------------ | -------- | -------- | +| | APSโฌ† | DSDโฌ† | RPโฌ† | APSโฌ† | DSDโฌ† | RPโฌ† | +| Hume | โ€“ | โ€“ | โ€“ | 83.0 | 75.3 | 54.3 | +| VoxInstruct | 47.5 | 52.3 | 42.6 | 54.9 | 57.0 | 39.3 | +| Parler-tts-mini | โ€“ | โ€“ | โ€“ | 63.4 | 48.7 | 28.6 | +| Parler-tts-large | โ€“ | โ€“ | โ€“ | 60.0 | 45.9 | 31.2 | +| PromptTTS | โ€“ | โ€“ | โ€“ | 64.3 | 47.2 | 31.4 | +| PromptStyle | โ€“ | โ€“ | โ€“ | 57.4 | 46.4 | 30.9 | +| VoiceSculptor | 75.7 | 64.7 | 61.5 | โ€“ | โ€“ | โ€“ | +| Mimo-Audio-7B-Instruct | 75.7 | 74.3 | 61.5 | 80.6 | 77.6 | 59.5 | +| Qwen3TTS-12Hz-1.7B-VD | **85.2** | **81.1** | **65.1** | 82.9 | 82.4 | 68.4 | +| **VoxCPM2** | **85.2** | 71.5 | 60.8 | **84.2** | **83.2** | **71.4** | + + + + +--- + +## โš™๏ธ Fine-tuning + +VoxCPM supports both **full fine-tuning (SFT)** and **LoRA fine-tuning**. With as little as **5โ€“10 minutes** of audio, you can adapt to a specific speaker, language, or domain. + +```bash +# LoRA fine-tuning (parameter-efficient, recommended) +python scripts/train_voxcpm_finetune.py \ + --config_path conf/voxcpm_v2/voxcpm_finetune_lora.yaml + +# Full fine-tuning +python scripts/train_voxcpm_finetune.py \ + --config_path conf/voxcpm_v2/voxcpm_finetune_all.yaml + +# WebUI for training & inference +python lora_ft_webui.py # then open http://localhost:7860 +``` + +> **Full guide โ†’** [Fine-tuning Guide](https://voxcpm.readthedocs.io/en/latest/finetuning/finetune.html) (data preparation, configuration, training, LoRA hot-swapping, FAQ) + +--- + +## ๐Ÿ“š Documentation + +Full documentation: **[voxcpm.readthedocs.io](https://voxcpm.readthedocs.io/en/latest/)** + + +| Topic | Link | +| -------------------------- | ------------------------------------------------------------------------------------- | +| Quick Start & Installation | [Quick Start](https://voxcpm.readthedocs.io/en/latest/quickstart.html) | +| Usage Guide & Cookbook | [User Guide](https://voxcpm.readthedocs.io/en/latest/usage_guide.html) | +| VoxCPM Series | [Models](https://voxcpm.readthedocs.io/en/latest/models/version_history.html) | +| Fine-tuning (SFT & LoRA) | [Fine-tuning Guide](https://voxcpm.readthedocs.io/en/latest/finetuning/finetune.html) | +| FAQ & Troubleshooting | [FAQ](https://voxcpm.readthedocs.io/en/latest/faq.html) | + + +--- + +## ๐ŸŒŸ Ecosystem & Community + + +| Project | Description | +| --------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------ | +| **[Nano-vLLM](https://github.com/a710128/nanovllm-voxcpm)** | High-throughput and Fast GPU serving | +| **[vLLM-Omni](https://github.com/vllm-project/vllm-omni)** | Official vLLM omni-modal serving for VoxCPM2 โ€” PagedAttention, OpenAI-compatible API | +| **[llama.cpp-omni](https://github.com/tc-mb/llama.cpp-omni)** | Full-duplex omni inference engine โ€” VoxCPM2 GGUF on CPU / Metal / CUDA / Vulkan | +| **[VoxCPM.cpp](https://github.com/bluryar/VoxCPM.cpp)** | GGML/GGUF: CPU, CUDA, Vulkan inference | +| **[audio.cpp](https://github.com/0xShug0/audio.cpp)** | ggml-based unified C++ inference framework โ€” CPU/CUDA/Vulkan/Metal, CLI & server, no Python | +| **[VoxCPM-ONNX](https://github.com/bluryar/VoxCPM-ONNX)** | ONNX export for CPU inference | +| **[VoxCPMANE](https://github.com/0seba/VoxCPMANE)** | Apple Neural Engine backend | +| **[voxcpm_rs](https://github.com/madushan1000/voxcpm_rs)** | Rust re-implementation | +| **[ComfyUI-VoxCPM](https://github.com/wildminder/ComfyUI-VoxCPM)** | ComfyUI node-based workflows | +| **[ComfyUI_RH_VoxCPM](https://github.com/HM-RunningHub/ComfyUI_RH_VoxCPM)** | Feature-complete ComfyUI workflow for VoxCPM 2 with multi-speaker generation, LoRA, and auto-ASR | +| **[ComfyUI-VoxCPMTTS](https://github.com/1038lab/ComfyUI-VoxCPMTTS)** | ComfyUI TTS extension | +| **[TTS WebUI](https://github.com/rsxdalv/tts_webui_extension.vox_cpm)** | Browser-based TTS extension | + + +> See the full [Ecosystem](https://voxcpm.readthedocs.io/en/latest/) in the docs. Community projects are not officially maintained by OpenBMB. Built something cool? [Open an issue or PR](https://github.com/OpenBMB/VoxCPM/issues) to add it! + +--- + +## โš ๏ธ Risks and Limitations + +- **Potential for Misuse:** VoxCPM's voice cloning can generate highly realistic synthetic speech. It is **strictly forbidden** to use VoxCPM for impersonation, fraud, or disinformation. We strongly recommend clearly marking any AI-generated content. +- **Controllable Generation Stability:** Voice Design and Controllable Voice Cloning results can vary between runs โ€” you may try to generate 1~3 times to obtain the desired voice or style. We are actively working on improving controllability consistency. +- **Language Coverage:** VoxCPM2 officially supports 30 languages. For languages not on the list, you are welcome to test directly or try fine-tuning on your own data. We plan to expand language coverage in future releases. +- **Usage:** This model is released under the Apache-2.0 license. For production deployments, we recommend conducting thorough testing and safety evaluation tailored to your use case. + +--- + +## ๐Ÿ“– Citation + +If you find VoxCPM helpful, please consider citing our work and starring โญ the repository! + +```bib +@article{zhou2026voxcpm2, + title = {VoxCPM2 Technical Report}, + author = {Zhou, Yixuan and Zeng, Guoyang and Liu, Xin and Li, Xiang and Yu, Renjie and Gui, Jiancheng and Wu, Jiaheng and Wang, Ziyang and Shen, Xudong and Ye, Runchuan and Zhang, Zhisheng and Zhou, Jiuyang and Bai, Bingsong and Sun, Weiyue and Deng, Mengyuan and Shi, Qundong and Wu, Zhiyong and Liu, Zhiyuan}, + journal = {arXiv preprint arXiv:2606.06928}, + year = {2026}, +} + +@article{zhou2025voxcpm, + title = {Voxcpm: Tokenizer-free TTS for context-aware speech generation and true-to-life voice cloning}, + author = {Zhou, Yixuan and Zeng, Guoyang and Liu, Xin and Li, Xiang and Yu, Renjie and Wang, Ziyang and Ye, Runchuan and Sun, Weiyue and Gui, Jiancheng and Li, Kehan and Wu, Zhiyong and Liu, Zhiyuan}, + journal = {arXiv preprint arXiv:2509.24650}, + year = {2025} +} +``` + +## ๐Ÿ“„ License + +VoxCPM model weights and code are open-sourced under the [Apache-2.0](LICENSE) license. + +## ๐Ÿ™ Acknowledgments + +- [DiTAR](https://arxiv.org/abs/2502.03930) for the diffusion autoregressive backbone +- [MiniCPM-4](https://github.com/OpenBMB/MiniCPM) for the language model foundation +- [CosyVoice](https://github.com/FunAudioLLM/CosyVoice) for the Flow Matching-based LocDiT implementation +- [DAC](https://github.com/descriptinc/descript-audio-codec) for the Audio VAE backbone +- Our community users for trying VoxCPM, reporting issues, sharing ideas, and contributingโ€”your support helps the project keep getting better + +## Institutions + +[ModelBest](https://modelbest.cn/) ย ย ย  [THUHCSI](https://github.com/thuhcsi) + +## โญ Star History + +[Star History Chart](https://star-history.com/#OpenBMB/VoxCPM&Date) \ No newline at end of file diff --git a/README.wehub.md b/README.wehub.md new file mode 100644 index 0000000..f08d5ec --- /dev/null +++ b/README.wehub.md @@ -0,0 +1,7 @@ +# WeHub ๆฅๆบ่ฏดๆ˜Ž + +- ๅŽŸๅง‹้กน็›ฎ๏ผš`OpenBMB/VoxCPM` +- ๅŽŸๅง‹ไป“ๅบ“๏ผšhttps://github.com/OpenBMB/VoxCPM +- ๅฏผๅ…ฅๆ–นๅผ๏ผšไธŠๆธธ้ป˜่ฎคๅˆ†ๆ”ฏ็š„ๆœ€ๆ–ฐๅฟซ็…ง +- ๅŽŸไฝœ่€…ใ€็‰ˆๆƒๅ’Œ่ฎธๅฏ่ฏไฟกๆฏไปฅๅŽŸๅง‹ไป“ๅบ“ๅŠๆœฌไป“ๅบ“ LICENSE ไธบๅ‡† +- ๆœฌๆ–‡ไปถไป…็”จไบŽ่ฎฐๅฝ•ๆฅๆบ๏ผŒไธไปฃ่กจ WeHub ๆ˜ฏๅŽŸ้กน็›ฎไฝœ่€… diff --git a/README_zh.md b/README_zh.md new file mode 100644 index 0000000..1d100c0 --- /dev/null +++ b/README_zh.md @@ -0,0 +1,685 @@ +

VoxCPM2๏ผšๅŸบไบŽ่ฟž็ปญ่กจๅพ็š„ๅคš่ฏญ่จ€่ฏญ้Ÿณๅˆๆˆใ€ๅˆ›ๆ„้Ÿณ่‰ฒ่ฎพ่ฎกไธŽ้ซ˜ไฟ็œŸๅฃฐ้Ÿณๅ…‹้š†

+ +

+ English | ไธญๆ–‡ +

+ +

+ Project Page + Live Playground + Documentation + Hugging Face + ModelScope + DemoPage + +

+ +
+ VoxCPM Logo +

+ OpenBMB%2FVoxCPM | Trendshift +
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+ ๐Ÿ‘‹ ๆฌข่ฟŽๅŠ ๅ…ฅ็คพๅŒบ๏ผŒๅ‚ไธŽ่ฎจ่ฎบไธŽไบคๆต๏ผ +
+ + ้ฃžไนฆ็พค + +  |  + + Discord + +

+ +VoxCPM ๆ˜ฏไธ€ไธช**ๆ— ็ฆปๆ•ฃ้Ÿณ้ข‘ๅˆ†่ฏๅ™จ**๏ผˆTokenizer-Free๏ผ‰็š„่ฏญ้Ÿณๅˆๆˆ็ณป็ปŸ๏ผŒ้€š่ฟ‡็ซฏๅˆฐ็ซฏ็š„**ๆ‰ฉๆ•ฃ่‡ชๅ›žๅฝ’ๆžถๆž„**็›ดๆŽฅ็”Ÿๆˆ่ฟž็ปญ่ฏญ้Ÿณ่กจๅพ๏ผŒ็ป•่ฟ‡ๅฏน้Ÿณ้ข‘็š„็ฆปๆ•ฃ็ผ–็ ๆญฅ้ชค๏ผŒๅฎž็Žฐ้ซ˜ๅบฆ่‡ช็„ถไธ”ๅฏŒๆœ‰่กจ็ŽฐๅŠ›็š„่ฏญ้Ÿณๅˆๆˆใ€‚ + +**VoxCPM2** ๆ˜ฏๆœ€ๆ–ฐ็š„็‰ˆๆœฌ โ€” ๅŸบไบŽ [MiniCPM-4](https://github.com/OpenBMB/MiniCPM) ๅŸบๅบงๆž„ๅปบ๏ผŒๆ€ป่ฎก **20ไบฟ** ๅ‚ๆ•ฐ๏ผŒๅœจ่ถ…่ฟ‡ **200ไธ‡ๅฐๆ—ถ** ็š„ๅคš่ฏญ็ง้Ÿณ้ข‘ๆ•ฐๆฎไธŠ่ฎญ็ปƒ๏ผŒๆ”ฏๆŒ **30็งๅ…จ็ƒ่ฏญ่จ€+9็งไธญๆ–‡ๆ–น่จ€**ใ€**้Ÿณ่‰ฒ่ฎพ่ฎก**ใ€**ๅฏๆŽงๅฃฐ้Ÿณๅ…‹้š†**๏ผŒๅŽŸ็”Ÿ่พ“ๅ‡บ **48kHz** ้ซ˜่ดจ้‡้Ÿณ้ข‘ใ€‚ + +### โœจ ๆ ธๅฟƒ็‰นๆ€ง + +- ๐ŸŒ **30็ง่ฏญ่จ€่ฏญ้Ÿณๅˆๆˆ** โ€” ็›ดๆŽฅ่พ“ๅ…ฅๅŽŸๅง‹ๆ–‡ๆœฌๅณๅฏๅˆๆˆ๏ผˆๆ”ฏๆŒ่ฏญ่จ€่ฏฆ่งไธ‹ๆ–‡๏ผ‰๏ผŒๆ— ้œ€้ขๅค–่ฏญ่จ€ๆ ‡็ญพ +- ๐ŸŽจ **้Ÿณ่‰ฒ่ฎพ่ฎก** โ€” ็”จ่‡ช็„ถ่ฏญ่จ€ๆ่ฟฐ๏ผˆๆ€งๅˆซใ€ๅนด้พ„ใ€้Ÿณ่‰ฒใ€ๆƒ…็ปชใ€่ฏญ้€Ÿโ€ฆโ€ฆ๏ผ‰ๅ‡ญ็ฉบๅˆ›ๅปบๅ…จๆ–ฐ้Ÿณ่‰ฒ๏ผŒๆ— ้œ€ๅ‚่€ƒ้Ÿณ้ข‘ +- ๐ŸŽ›๏ธ **ๅฏๆŽงๅฃฐ้Ÿณๅ…‹้š†** โ€” ไปŽๅ‚่€ƒ้Ÿณ้ข‘็‰‡ๆฎตๅ…‹้š†ไปปๆ„ๅฃฐ้Ÿณ๏ผŒๅฏๅ ๅŠ ้ฃŽๆ ผๆŒ‡ไปคๆŽงๅˆถๆƒ…็ปชใ€่ฏญ้€Ÿๅ’Œ่กจ็ŽฐๅŠ›๏ผŒๅŒๆ—ถไฟๆŒๅŽŸๅง‹้Ÿณ่‰ฒ +- ๐ŸŽ™๏ธ **ๆž่‡ดๅ…‹้š†** โ€” ๆไพ›ๅ‚่€ƒ้Ÿณ้ข‘ๅŠๅ…ถๆ–‡ๆœฌๅ†…ๅฎน๏ผŒๆจกๅž‹ๆŽฅ็€ๅ‚่€ƒ้Ÿณ้ข‘่ฟ›่กŒๆ— ็ผ็ปญๅ†™๏ผŒไปŽ่€Œ็ฒพๅ‡†่ฟ˜ๅŽŸๅฃฐ้Ÿณ็ป†่Š‚็‰นๅพ๏ผˆไธŽ VoxCPM1.5 ไธ€่‡ด๏ผ‰ +- ๐Ÿ”Š **48kHz ้ซ˜่ดจ้‡้Ÿณ้ข‘** โ€” ่พ“ๅ…ฅ 16kHz ๅ‚่€ƒ้Ÿณ้ข‘๏ผŒ้€š่ฟ‡ AudioVAE V2 ็š„้žๅฏน็งฐ็ผ–่งฃ็ ่ฎพ่ฎก็›ดๆŽฅ่พ“ๅ‡บ 48kHz ้ซ˜่ดจ้‡้Ÿณ้ข‘๏ผŒๅ†…็ฝฎ่ถ…ๅˆ†่ƒฝๅŠ› +- ๐Ÿง  **่ฏญๅขƒๆ„Ÿ็Ÿฅๅˆๆˆ** โ€” ๆ นๆฎๆ–‡ๆœฌๅ†…ๅฎน่‡ชๅŠจๆŽจๆ–ญๅˆ้€‚็š„้Ÿตๅพ‹ๅ’Œ่กจ็ŽฐๅŠ› +- โšก **ๅฎžๆ—ถๆตๅผๅˆๆˆ** โ€” ๅœจ NVIDIA RTX 4090 ไธŠ RTF ไฝŽ่‡ณ ~0.3๏ผŒ้€š่ฟ‡ [Nano-vLLM](https://github.com/a710128/nanovllm-voxcpm) ๆˆ– [vLLM-Omni](https://github.com/vllm-project/vllm-omni)๏ผˆๅฎ˜ๆ–น vLLM ๅ…จๆจกๆ€ๆœๅŠก๏ผŒๅŽŸ็”Ÿๆ”ฏๆŒ VoxCPM2๏ผŒๆไพ› PagedAttention ไธŽ OpenAI ๅ…ผๅฎน API๏ผ‰ๅŠ ้€ŸๅŽๅฏ่พพ ~0.13 +- ๐Ÿ“œ **ๅฎŒๅ…จๅผ€ๆบ๏ผŒๅ•†็”จๅฐฑ็ปช** โ€” ๆƒ้‡ๅ’Œไปฃ็ ๅŸบไบŽ [Apache-2.0](LICENSE) ๅ่ฎฎๅ‘ๅธƒ๏ผŒๅ…่ดนๅ•†็”จ + +๐ŸŒ ๆ”ฏๆŒ็š„่ฏญ่จ€๏ผˆ30็ง๏ผ‰ +
+้˜ฟๆ‹‰ไผฏ่ฏญใ€็ผ…็”ธ่ฏญใ€ไธญๆ–‡ใ€ไธน้บฆ่ฏญใ€่ทๅ…ฐ่ฏญใ€่‹ฑ่ฏญใ€่Šฌๅ…ฐ่ฏญใ€ๆณ•่ฏญใ€ๅพท่ฏญใ€ๅธŒ่…Š่ฏญใ€ๅธŒไผฏๆฅ่ฏญใ€ๅฐๅœฐ่ฏญใ€ๅฐๅฐผ่ฏญใ€ๆ„ๅคงๅˆฉ่ฏญใ€ๆ—ฅ่ฏญใ€้ซ˜ๆฃ‰่ฏญใ€้Ÿฉ่ฏญใ€่€ๆŒ่ฏญใ€้ฉฌๆฅ่ฏญใ€ๆŒชๅจ่ฏญใ€ๆณขๅ…ฐ่ฏญใ€่‘ก่„็‰™่ฏญใ€ไฟ„่ฏญใ€่ฅฟ็ญ็‰™่ฏญใ€ๆ–ฏ็“ฆๅธŒ้‡Œ่ฏญใ€็‘žๅ…ธ่ฏญใ€่ฒๅพ‹ๅฎพ่ฏญใ€ๆณฐ่ฏญใ€ๅœŸ่€ณๅ…ถ่ฏญใ€่ถŠๅ—่ฏญ + +ไธญๅ›ฝๆ–น่จ€๏ผšๅ››ๅท่ฏใ€็ฒค่ฏญใ€ๅด่ฏญใ€ไธœๅŒ—่ฏใ€ๆฒณๅ—่ฏใ€้™•่ฅฟ่ฏใ€ๅฑฑไธœ่ฏใ€ๅคฉๆดฅ่ฏใ€้—ฝๅ—่ฏ + + +### ๆœ€ๆ–ฐๅŠจๆ€ + +* **[2026.04]** ๐Ÿ”ฅ ๅ‘ๅธƒ **VoxCPM2** โ€” 20ไบฟๅ‚ๆ•ฐ๏ผŒ30็ง่ฏญ่จ€๏ผŒ้Ÿณ่‰ฒ่ฎพ่ฎกไธŽๅฏๆŽงๅฃฐ้Ÿณๅ…‹้š†๏ผŒ48kHz ้Ÿณ้ข‘่พ“ๅ‡บ๏ผ[ๆจกๅž‹ๆƒ้‡](https://huggingface.co/openbmb/VoxCPM2) | [ไฝฟ็”จๆ–‡ๆกฃ](https://voxcpm.readthedocs.io/zh-cn/latest/) | [ๅœจ็บฟไฝ“้ชŒ](https://huggingface.co/spaces/OpenBMB/VoxCPM-Demo) | [ๅฎ˜็ฝ‘ไฝ“้ชŒ](https://voxcpm.modelbest.cn/) (้€‚็”จๅ›ฝๅ†…่ฎฟ้—ฎ) | [ๆŠ€ๆœฏๆŠฅๅ‘Š](https://arxiv.org/abs/2606.06928) +* **[2025.12]** ๐ŸŽ‰ ๅผ€ๆบ **VoxCPM1.5** [ๆจกๅž‹ๆƒ้‡](https://huggingface.co/openbmb/VoxCPM1.5)๏ผŒๆ”ฏๆŒ SFT ๅ’Œ LoRA ๅพฎ่ฐƒใ€‚(**๐Ÿ† GitHub Trending #1**) +* **[2025.09]** ๐Ÿ”ฅ ๅ‘ๅธƒ VoxCPM [ๆŠ€ๆœฏๆŠฅๅ‘Š](https://arxiv.org/abs/2509.24650)ใ€‚ +* **[2025.09]** ๐ŸŽ‰ ๅผ€ๆบ **VoxCPM-0.5B** [ๆจกๅž‹ๆƒ้‡](https://huggingface.co/openbmb/VoxCPM-0.5B) (**๐Ÿ† HuggingFace Trending #1**) + +--- + +## ็›ฎๅฝ• + +- [ๅฟซ้€Ÿๅผ€ๅง‹](#-ๅฟซ้€Ÿๅผ€ๅง‹) + - [ๅฎ‰่ฃ…](#ๅฎ‰่ฃ…) + - [Python API](#python-api) + - [ๅ‘ฝไปค่กŒไฝฟ็”จ](#ๅ‘ฝไปค่กŒไฝฟ็”จ) + - [Web Demo](#web-demo) + - [็”Ÿไบง้ƒจ็ฝฒ](#-็”Ÿไบง้ƒจ็ฝฒnano-vllm) + - [็ซฏไพงๆŽจ็†๏ผˆllama.cpp-omni๏ผ‰](#-็ซฏไพงๆŽจ็†llamacpp-omni) +- [ๆจกๅž‹ไธŽ็‰ˆๆœฌ](#-ๆจกๅž‹ไธŽ็‰ˆๆœฌ) +- [ๆ€ง่ƒฝ่ฏ„ๆต‹](#-ๆ€ง่ƒฝ่ฏ„ๆต‹) +- [ๅพฎ่ฐƒ](#%EF%B8%8F-ๅพฎ่ฐƒ) +- [ๆ–‡ๆกฃ](#-ๆ–‡ๆกฃ) +- [็”Ÿๆ€ไธŽ็คพๅŒบ](#-็”Ÿๆ€ไธŽ็คพๅŒบ) +- [้ฃŽ้™ฉไธŽๅฑ€้™ๆ€ง](#%EF%B8%8F-้ฃŽ้™ฉไธŽๅฑ€้™ๆ€ง) +- [ๅผ•็”จ](#-ๅผ•็”จ) + +--- + +## ๐Ÿš€ ๅฟซ้€Ÿๅผ€ๅง‹ + +### ๅฎ‰่ฃ… + +```sh +pip install voxcpm +``` + +> **็Žฏๅขƒ่ฆๆฑ‚๏ผš** Python โ‰ฅ 3.10 (<3.13)๏ผŒPyTorch โ‰ฅ 2.5.0๏ผŒCUDA โ‰ฅ 12.0ใ€‚่ฏฆ่ง [ๅฟซ้€Ÿๅผ€ๅง‹ๆ–‡ๆกฃ](https://voxcpm.readthedocs.io/zh-cn/latest/quickstart.html)ใ€‚ + +### Python API + +#### ๐Ÿ—ฃ๏ธ ๆ–‡ๆœฌ่ฝฌ่ฏญ้Ÿณ + +```python +from voxcpm import VoxCPM +import soundfile as sf + +model = VoxCPM.from_pretrained( + "openbmb/VoxCPM2", + load_denoiser=False, +) + +wav = model.generate( + text="VoxCPM2 ๆ˜ฏ็›ฎๅ‰ๆŽจ่ไฝฟ็”จ็š„ๅคš่ฏญ่จ€่ฏญ้Ÿณๅˆๆˆ็‰ˆๆœฌใ€‚", + cfg_value=2.0, + inference_timesteps=10, + seed=42, +) +sf.write("demo.wav", wav, model.tts_model.sample_rate) +print("ๅทฒไฟๅญ˜: demo.wav") +``` + +ๅฆ‚ๆžœไฝ ๅธŒๆœ›ๅ…ˆไปŽ ModelScope ไธ‹่ฝฝๆจกๅž‹ๅˆฐๆœฌๅœฐ๏ผˆ้€‚็”จไบŽๅ›ฝๅ†…็ฝ‘็ปœ่ฎฟ้—ฎ๏ผ‰๏ผŒๅฏไปฅไฝฟ็”จ๏ผš + +```bash +pip install modelscope +``` + +```python +from modelscope import snapshot_download +snapshot_download("OpenBMB/VoxCPM2", local_dir='./pretrained_models/VoxCPM2') # ๆŒ‡ๅฎšๆจกๅž‹ไฟๅญ˜็š„ๆœฌๅœฐ่ทฏๅพ„ + +from voxcpm import VoxCPM +import soundfile as sf +model = VoxCPM.from_pretrained('./pretrained_models/VoxCPM2', load_denoiser=False) + +wav = model.generate( + text="VoxCPM2 ๆ˜ฏ็›ฎๅ‰ๆŽจ่ไฝฟ็”จ็š„ๅคš่ฏญ่จ€่ฏญ้Ÿณๅˆๆˆ็‰ˆๆœฌใ€‚", + cfg_value=2.0, + inference_timesteps=10, + seed=42, +) +sf.write("demo.wav", wav, model.tts_model.sample_rate) +``` + +#### ๐ŸŽจ ้Ÿณ่‰ฒ่ฎพ่ฎก + +็”จ่‡ช็„ถ่ฏญ่จ€ๆ่ฟฐๅˆ›ๅปบๅ…จๆ–ฐ้Ÿณ่‰ฒ๏ผŒๆ— ้œ€ๅ‚่€ƒ้Ÿณ้ข‘ใ€‚**ๆ ผๅผ๏ผš** ๅœจ `text` ๅผ€ๅคด็”จๆ‹ฌๅทๅ†™ๅ…ฅ้Ÿณ่‰ฒๆ่ฟฐ๏ผˆๅฆ‚ `"(้Ÿณ่‰ฒๆ่ฟฐ)่ฆๅˆๆˆ็š„ๆ–‡ๆœฌใ€‚"`๏ผ‰๏ผš + +```python +wav = model.generate( + text="(ๅนด่ฝปๅฅณๆ€ง๏ผŒๅฃฐ้ŸณๆธฉๆŸ”็”œ็พŽ)ไฝ ๅฅฝ๏ผŒๆฌข่ฟŽไฝฟ็”จVoxCPM2๏ผ", + cfg_value=2.0, + inference_timesteps=10, + seed=42, +) +sf.write("voice_design.wav", wav, model.tts_model.sample_rate) +``` + +#### ๐ŸŽ›๏ธ ๅฏๆŽงๅฃฐ้Ÿณๅ…‹้š† + +ไธŠไผ ไธ€ๆฎตๅ‚่€ƒ้Ÿณ้ข‘๏ผŒๆจกๅž‹ๅ…‹้š†ๅ…ถ้Ÿณ่‰ฒ๏ผŒๅŒๆ—ถๅฏไปฅไฝฟ็”จๆŽงๅˆถๆŒ‡ไปค่ฐƒ่Š‚่ฏญ้€Ÿใ€ๆƒ…็ปชๆˆ–้ฃŽๆ ผใ€‚ + +```python +wav = model.generate( + text="่ฟ™ๆ˜ฏVoxCPM2็”Ÿๆˆ็š„ๅ…‹้š†่ฏญ้Ÿณใ€‚", + reference_wav_path="path/to/voice.wav", +) +sf.write("clone.wav", wav, model.tts_model.sample_rate) + +wav = model.generate( + text="(็จๅฟซไธ€็‚น๏ผŒๆฌขๅฟซ็š„่ฏญๆฐ”)่ฟ™ๆ˜ฏๅธฆ้ฃŽๆ ผๆŽงๅˆถ็š„ๅ…‹้š†่ฏญ้Ÿณใ€‚", + reference_wav_path="path/to/voice.wav", + cfg_value=2.0, + inference_timesteps=10, + seed=42, +) +sf.write("controllable_clone.wav", wav, model.tts_model.sample_rate) +``` + +#### ๐ŸŽ™๏ธ ๆž่‡ดๅ…‹้š† + +ๆไพ›ๅ‚่€ƒ้Ÿณ้ข‘ๅŠๅ…ถ็ฒพ็กฎๆ–‡ๆœฌ่ฝฌๅฝ•๏ผŒๅฎž็ŽฐๅŸบไบŽ้Ÿณ้ข‘็ปญๅ†™็š„้ซ˜ไฟ็œŸๅ…‹้š†ใ€‚ไธบ่Žทๅพ—ๆœ€้ซ˜ๅ…‹้š†็›ธไผผๅบฆ๏ผŒๅฏๅฐ†ๅŒไธ€้Ÿณ้ข‘ๅŒๆ—ถไผ ็ป™ `reference_wav_path` ๅ’Œ `prompt_wav_path`๏ผš + +```python +wav = model.generate( + text="่ฟ™ๆ˜ฏไฝฟ็”จVoxCPM2็š„ๆž่‡ดๅ…‹้š†ๆผ”็คบใ€‚", + prompt_wav_path="path/to/voice.wav", + prompt_text="ๅ‚่€ƒ้Ÿณ้ข‘็š„ๆ–‡ๆœฌ่ฝฌๅฝ•ใ€‚", + reference_wav_path="path/to/voice.wav", # ๅฏ้€‰๏ผŒๆๅ‡็›ธไผผๅบฆ +) +sf.write("hifi_clone.wav", wav, model.tts_model.sample_rate) +``` + +
+๐Ÿ”„ ๆตๅผ API + +```python +import numpy as np + +chunks = [] +for chunk in model.generate_streaming( + text="ไฝฟ็”จVoxCPM่ฟ›่กŒๆตๅผ่ฏญ้Ÿณๅˆๆˆ้žๅธธ็ฎ€ๅ•๏ผ", +): + chunks.append(chunk) +wav = np.concatenate(chunks) +sf.write("streaming.wav", wav, model.tts_model.sample_rate) +``` +
+ +### ๅ‘ฝไปค่กŒไฝฟ็”จ + +```bash +# ้Ÿณ่‰ฒ่ฎพ่ฎก๏ผˆๆ— ้œ€ๅ‚่€ƒ้Ÿณ้ข‘๏ผ‰ +voxcpm design \ + --text "VoxCPM2ๅธฆๆฅๅ…จๆ–ฐ่ฏญ้Ÿณๅˆๆˆไฝ“้ชŒใ€‚" \ + --output out.wav + +# ๅฏๆŽงๅฃฐ้Ÿณๅ…‹้š†๏ผˆๅธฆ้ฃŽๆ ผๆŽงๅˆถ๏ผ‰ +voxcpm design \ + --text "VoxCPM2ๅธฆๆฅๅ…จๆ–ฐ่ฏญ้Ÿณๅˆๆˆไฝ“้ชŒใ€‚" \ + --control "ๅนด่ฝปๅฅณๅฃฐ๏ผŒๆธฉๆš–ๆธฉๆŸ”๏ผŒ็•ฅๅธฆๅพฎ็ฌ‘" \ + --seed 42 \ + --output out.wav + +# ๅฃฐ้Ÿณๅ…‹้š†๏ผˆๅ‚่€ƒ้Ÿณ้ข‘๏ผ‰ +voxcpm clone \ + --text "่ฟ™ๆ˜ฏไธ€ไธชๅฃฐ้Ÿณๅ…‹้š†็š„ๆผ”็คบใ€‚" \ + --reference-audio path/to/voice.wav \ + --output out.wav + +# ๆž่‡ดๅ…‹้š†๏ผˆๆ็คบ้Ÿณ้ข‘ + ่ฝฌๅฝ•ๆ–‡ๆœฌ๏ผ‰ +voxcpm clone \ + --text "่ฟ™ๆ˜ฏไธ€ไธชๅฃฐ้Ÿณๅ…‹้š†็š„ๆผ”็คบใ€‚" \ + --prompt-audio path/to/voice.wav \ + --prompt-text "ๅ‚่€ƒ้Ÿณ้ข‘่ฝฌๅฝ•ๆ–‡ๆœฌ" \ + --reference-audio path/to/voice.wav \ + --output out.wav + +# ๆ‰น้‡ๅค„็† +voxcpm batch --input examples/input.txt --output-dir outs + +# ๅฏ้€‰็š„็”ŸๆˆๅŽๆ—ถ้—ดๆˆณๅฏน้ฝ๏ผˆๅŸบไบŽ stable-ts๏ผ‰ +pip install "voxcpm[timestamps]" +voxcpm design \ + --text "VoxCPM2ๅธฆๆฅๅ…จๆ–ฐ่ฏญ้Ÿณๅˆๆˆไฝ“้ชŒใ€‚" \ + --output out.wav \ + --timestamps \ + --timestamp-level word \ + --timestamp-language zh + +# ๅญ—็บงๆ—ถ้—ดๆˆณๆ˜ฏ best-effort๏ผŒไผšๅŸบไบŽ่ฏ็บงๅฏน้ฝ็ป“ๆžœๆ‹†ๅˆ† +voxcpm design \ + --text "ๆฌข่ฟŽไฝฟ็”จ VoxCPM2ใ€‚" \ + --output out.wav \ + --timestamps \ + --timestamp-level char \ + --timestamp-language zh + +# ๅธฎๅŠฉ +voxcpm --help +``` + +### Web Demo + +```bash +python app.py --port 8808 # ็„ถๅŽๅœจๆต่งˆๅ™จๆ‰“ๅผ€ http://localhost:8808 +``` + +ไฝฟ็”จ `--device` ้€‰ๆ‹ฉ่ฟ่กŒ่ฎพๅค‡๏ผš + +```bash +python app.py --device auto +``` + +ๆ”ฏๆŒ็š„ๅ–ๅ€ผๅŒ…ๆ‹ฌ `auto`ใ€`cpu`ใ€`mps`ใ€`cuda` ๅ’Œ `cuda:N`ใ€‚ๅœจ Apple Silicon Mac ไธŠ๏ผŒ`auto` ไผšๅœจๅฏ็”จๆ—ถไฝฟ็”จ MPSใ€‚ + +### ๐Ÿšข ็”Ÿไบง้ƒจ็ฝฒ๏ผˆNano-vLLM๏ผ‰ + +ๅฆ‚้œ€้ซ˜ๅžๅ้‡้ƒจ็ฝฒ๏ผŒไฝฟ็”จ [**Nano-vLLM-VoxCPM**](https://github.com/a710128/nanovllm-voxcpm) โ€” ๅŸบไบŽ Nano-vLLM ๆž„ๅปบ็š„ไธ“็”จๆŽจ็†ๅผ•ๆ“Ž๏ผŒๆ”ฏๆŒๅนถๅ‘่ฏทๆฑ‚ๅ’Œๅผ‚ๆญฅ APIใ€‚ + +```bash +pip install nano-vllm-voxcpm +``` + +```python +from nanovllm_voxcpm import VoxCPM +import numpy as np, soundfile as sf + +server = VoxCPM.from_pretrained(model="/path/to/VoxCPM", devices=[0]) +chunks = list(server.generate(target_text="ไฝ ๅฅฝ๏ผŒๆˆ‘ๆฅ่‡ชVoxCPM๏ผ")) +sf.write("out.wav", np.concatenate(chunks), 48000) +server.stop() +``` + +> **ๅœจ NVIDIA RTX 4090 ไธŠ RTF ไฝŽ่‡ณ ~0.13**๏ผˆๆ ‡ๅ‡† PyTorch ๅฎž็Žฐ็บฆ ~0.3๏ผ‰๏ผŒๆ”ฏๆŒๆ‰น้‡ๅนถๅ‘่ฏทๆฑ‚ๅ’Œ FastAPI HTTP ๆœๅŠกใ€‚่ฏฆ่ง [Nano-vLLM-VoxCPM ไป“ๅบ“](https://github.com/a710128/nanovllm-voxcpm)ใ€‚ + +### ๐Ÿญ ็”Ÿไบง็Žฏๅขƒ้ƒจ็ฝฒ๏ผˆvLLM-Omni๏ผ‰ + +ๅฆ‚้œ€็”Ÿไบง็บงๅคš็งŸๆˆท้ƒจ็ฝฒ๏ผŒไฝฟ็”จ [**vLLM-Omni**](https://github.com/vllm-project/vllm-omni) โ€” ๅฎ˜ๆ–น vLLM ้กน็›ฎ็š„ๅ…จๆจกๆ€ๆ‰ฉๅฑ•๏ผŒๅŽŸ็”Ÿๆ”ฏๆŒ **VoxCPM2**ใ€‚ๅ…ทๅค‡ PagedAttention KV ็ผ“ๅญ˜ใ€่ฟž็ปญๆ‰นๅค„็†๏ผŒไปฅๅŠไธŽ OpenAI ๅฎŒๅ…จๅ…ผๅฎน็š„ `/v1/audio/speech` ๆŽฅๅฃใ€‚ + +```bash +# ไปŽๆบ็ ๅฎ‰่ฃ…๏ผˆๆœ€ๆ–ฐ main ๅˆ†ๆ”ฏ โ€”โ€” vllm-omni ๆญฃๅœจๅฟซ้€Ÿ่ฟญไปฃ๏ผ‰ +uv pip install vllm==0.19.0 --torch-backend=auto +git clone https://github.com/vllm-project/vllm-omni.git && cd vllm-omni +uv pip install -e . +``` + +ๅ…ถไป–ๅนณๅฐ๏ผˆROCmใ€XPUใ€MUSAใ€NPU๏ผ‰ไธŽ Docker ้•œๅƒ่ฏทๅ‚่€ƒ [vLLM-Omni ๅฎ‰่ฃ…ๆ–‡ๆกฃ](https://vllm-omni.readthedocs.io/en/latest/getting_started/installation/)ใ€‚ + +```bash +# ๅฏๅŠจ OpenAI ๅ…ผๅฎน็š„ TTS ๆœๅŠก๏ผˆ--omni ๅฏ็”จๅ…จๆจกๆ€ๆœๅŠก๏ผ‰ +vllm serve openbmb/VoxCPM2 --omni --port 8000 + +# ไปปๆ„ OpenAI ๅฎขๆˆท็ซฏๅ‡ๅฏ่ฐƒ็”จ +curl http://localhost:8000/v1/audio/speech \ + -H "Content-Type: application/json" \ + -d '{"model":"openbmb/VoxCPM2","input":"ไฝ ๅฅฝ๏ผŒๆฌข่ฟŽไฝฟ็”จ VoxCPM2 on vLLM-Omni๏ผ","voice":"default"}' \ + --output out.wav +``` + +> ๅŸบไบŽไธŠๆธธ vLLM ่ฐƒๅบฆๅ™จๆž„ๅปบ๏ผŒๅผ€็ฎฑๅณ็”จๆ”ฏๆŒๆ‰น้‡ๅนถๅ‘ใ€ๆตๅผๅˆ†ๅ—่พ“ๅ‡บๅ’Œๅคš GPU ้ƒจ็ฝฒใ€‚ๅฎŒๆ•ด็คบไพ‹่ง [VoxCPM2 ้ƒจ็ฝฒๆ ทไพ‹](https://github.com/vllm-project/vllm-omni/tree/main/examples/online_serving/voxcpm2)ใ€‚ + +### ๐Ÿ“ฑ ็ซฏไพงๆŽจ็†๏ผˆllama.cpp-omni๏ผ‰ + +ๅฆ‚้œ€ๅœจ็ซฏไพง/ๆถˆ่ดน็บง็กฌไปถไธŠๆ—  Python ่ฟ่กŒ๏ผŒไฝฟ็”จ **[llama.cpp-omni](https://github.com/tc-mb/llama.cpp-omni)** โ€” ๅŸบไบŽ llama.cpp ็š„้ซ˜ๆ€ง่ƒฝ C++ ๆŽจ็†ๅผ•ๆ“Ž๏ผŒๅŽŸ็”Ÿๆ”ฏๆŒ VoxCPM2 GGUF๏ผŒๅฏๅœจ **CPU / Metal / CUDA / Vulkan** ไธŠ่ฟ่กŒใ€‚ + +**1. ไธ‹่ฝฝ GGUF ๆƒ้‡**๏ผšไปŽ [HFไธ‹่ฝฝ](https://huggingface.co/DennisHuang648/VoxCPM2-GGUF) | [ModelScope](https://modelscope.cn/models/DennisHuang/VoxCPM2-GGUF)๏ผŒ้œ€่ฆไธ€ไธช **BaseLM**๏ผˆF16 ๆˆ– Q8_0๏ผ‰+ **Acoustic** ๆ–‡ไปถใ€‚Q8_0 ไฝ“็งฏๅ‡ๅŠ๏ผŒ่ดจ้‡ๆŸๅคฑๅฏๅฟฝ็•ฅใ€‚ + +**2. ็ผ–่ฏ‘** + +```bash +git clone https://github.com/tc-mb/llama.cpp-omni.git && cd llama.cpp-omni +cmake -B build -DCMAKE_BUILD_TYPE=Release +cmake --build build --target voxcpm2-cli -j +``` + +> CMake ไผš่‡ชๅŠจๆฃ€ๆต‹ๅนถๅฏ็”จ Metal๏ผˆmacOS๏ผ‰ๆˆ– CUDA๏ผˆLinux + NVIDIA GPU๏ผ‰ใ€‚ + +**3. ่ฟ่กŒ** + +```bash +# ๅŸบ็ก€ TTS +./build/bin/voxcpm2-cli \ + -t "ไฝ ๅฅฝ๏ผŒๆˆ‘ๆ˜ฏ้€š่ฟ‡ llama.cpp-omni ่ฟ่กŒ็š„ VoxCPM2ใ€‚" \ + -o output.wav VoxCPM2-BaseLM-Q8_0.gguf VoxCPM2-Acoustic-F16.gguf + +# ๅฃฐ้Ÿณๅ…‹้š†๏ผˆๅ‚่€ƒ้Ÿณ้ข‘๏ผ‰ +./build/bin/voxcpm2-cli \ + -t "ๅ…‹้š†็š„ๅฃฐ้Ÿณใ€‚" -r speaker.wav -o clone.wav \ + VoxCPM2-BaseLM-Q8_0.gguf VoxCPM2-Acoustic-F16.gguf + +# ็ฒพๅ‡†ๅ…‹้š†๏ผˆๅ‚่€ƒ้Ÿณ้ข‘ + ่ฝฌๅ†™ๆ–‡ๆœฌ๏ผ‰ +./build/bin/voxcpm2-cli \ + -t "็›ฎๆ ‡ๆ–‡ๆœฌใ€‚" --prompt-wav speaker.wav --prompt-text "ๅ‚่€ƒ้Ÿณ้ข‘็š„่ฝฌๅ†™ๆ–‡ๆœฌ" \ + -o clone.wav VoxCPM2-BaseLM-Q8_0.gguf VoxCPM2-Acoustic-F16.gguf +``` + +> **ๅœจ Apple M4 Pro / Metal ไธŠ RTF ~1.76๏ผˆQ8_0๏ผ‰ใ€‚** ไธป่ฆๅ‚ๆ•ฐ๏ผš`--cfg`๏ผˆๅผ•ๅฏผๅฐบๅบฆ๏ผ‰ใ€`--timesteps`๏ผˆCFM ๆญฅๆ•ฐ๏ผ‰ใ€`--seed`ใ€`--temperature`ใ€`--stream`ใ€‚่ฏฆ่ง [llama.cpp-omni ไป“ๅบ“](https://github.com/tc-mb/llama.cpp-omni) ๅ’Œ [GGUF ๆƒ้‡้กต้ข](https://huggingface.co/DennisHuang648/VoxCPM2-GGUF)ใ€‚ + +> **ๅฎŒๆ•ดๅ‚ๆ•ฐ่ฏดๆ˜Žใ€ๅคšๅœบๆ™ฏ็คบไพ‹ไธŽๅฃฐ้Ÿณๅ…‹้š†ๆŠ€ๅทง โ†’** [ๅฟซ้€Ÿๅผ€ๅง‹ๆŒ‡ๅ—](https://voxcpm.readthedocs.io/zh-cn/latest/quickstart.html) | [ไฝฟ็”จๆŒ‡ๅ—](https://voxcpm.readthedocs.io/zh-cn/latest/usage_guide.html) | [Cookbook](https://voxcpm.readthedocs.io/zh-cn/latest/cookbook.html) + +--- + +## ๐Ÿ“ฆ ๆจกๅž‹ไธŽ็‰ˆๆœฌ + +| | **VoxCPM2** | **VoxCPM1.5** | **VoxCPM-0.5B** | +|---|:---:|:---:|:---:| +| **็Šถๆ€** | ๐ŸŸข ๆœ€ๆ–ฐ็‰ˆๆœฌ | ็จณๅฎš็‰ˆ | ๆ—ง็‰ˆ | +| **ไธปๆจกๅž‹ๅ‚ๆ•ฐ้‡** | 2B | 0.6B | 0.5B | +| **้Ÿณ้ข‘้‡‡ๆ ท็Ž‡** | 48kHz | 44.1kHz | 16kHz | +| **LMๅค„็†็ ็Ž‡** | 6.25Hz | 6.25Hz | 12.5Hz | +| **่ฏญ่จ€ๆ”ฏๆŒๆ•ฐ้‡** | 30 | 2๏ผˆไธญๆ–‡ใ€่‹ฑๆ–‡๏ผ‰ | 2๏ผˆไธญๆ–‡ใ€่‹ฑๆ–‡๏ผ‰ | +| **ๅ…‹้š†ๆจกๅผ** | ้š”็ฆปๅ‚่€ƒ้Ÿณ้ข‘๏ผˆๆ— ้œ€ๆ–‡ๆœฌ๏ผ‰ & ้Ÿณ้ข‘็ปญๅ†™ | ไป…้Ÿณ้ข‘็ปญๅ†™ | ไป…้Ÿณ้ข‘็ปญๅ†™ | +| **้Ÿณ่‰ฒ่ฎพ่ฎก** | โœ… | โ€” | โ€” | +| **ๅฏๆŽงๅฃฐ้Ÿณๅ…‹้š†** | โœ… | โ€” | โ€” | +| **SFT / LoRA** | โœ… | โœ… | โœ… | +| **RTF (RTX 4090)** | ~0.30 | ~0.15 | ~0.17 | +| **RTF Nano-VLLM (RTX 4090)** | ~0.13 | ~0.08 | ~0.10 | +| **ๆ˜พๅญ˜ๅ ็”จ** | ~8 GB | ~6 GB | ~5 GB | +| **ๆจกๅž‹ๆƒ้‡** | [๐Ÿค— HF](https://huggingface.co/openbmb/VoxCPM2) / [MS](https://modelscope.cn/models/OpenBMB/VoxCPM2) | [๐Ÿค— HF](https://huggingface.co/openbmb/VoxCPM1.5) / [MS](https://modelscope.cn/models/OpenBMB/VoxCPM1.5) | [๐Ÿค— HF](https://huggingface.co/openbmb/VoxCPM-0.5B) / [MS](https://modelscope.cn/models/OpenBMB/VoxCPM-0.5B) | +| **ๆŠ€ๆœฏๆŠฅๅ‘Š** | [arXiv](https://arxiv.org/abs/2606.06928) | โ€” | [arXiv](https://arxiv.org/abs/2509.24650) [ICLR 2026](https://openreview.net/forum?id=h5KLpGoqzC) | +| **Demo ้กต้ข** | [้Ÿณ้ข‘็คบไพ‹](https://openbmb.github.io/voxcpm2-demopage) | โ€” | [้Ÿณ้ข‘็คบไพ‹](https://openbmb.github.io/VoxCPM-demopage) | + +VoxCPM2 ้‡‡็”จ**่ฟž็ปญ้Ÿณ้ข‘่กจๅพใ€ๆ‰ฉๆ•ฃ่‡ชๅ›žๅฝ’**่Œƒๅผ๏ผŒๆจกๅž‹ๅœจ **AudioVAE** ็š„่ฟž็ปญ้š็ฉบ้—ดไธญ้€š่ฟ‡ๅ››้˜ถๆฎตๅค„็†๏ผš**LocEnc โ†’ TSLM โ†’ RALM โ†’ LocDiT**๏ผŒๅฎž็ŽฐไธฐๅฏŒ็š„่กจ็ŽฐๅŠ›่ฏญ้Ÿณๅˆๆˆๅ’Œ 48kHz ๅŽŸ็”Ÿ้Ÿณ้ข‘่พ“ๅ‡บใ€‚ + +
+ VoxCPM2 ๆจกๅž‹ๆžถๆž„ +
+ +> ๅฎŒๆ•ดๆžถๆž„็ป†่Š‚ใ€VoxCPM2 ๅ‡็บงๅ†…ๅฎนๅ’Œๆจกๅž‹ๅฏนๆฏ”่กจ่ง [ๆžถๆž„่ฎพ่ฎกๆ–‡ๆกฃ](https://voxcpm.readthedocs.io/zh-cn/latest/models/architecture.html)ใ€‚ + +--- + +## ๐Ÿ“Š ๆ€ง่ƒฝ่ฏ„ๆต‹ + +VoxCPM2 ๅœจๅ…ฌๅผ€็š„้›ถๆ ทๆœฌๅ’ŒๅฏๆŽง TTS ๅŸบๅ‡†ๆต‹่ฏ•ไธญๅ–ๅพ—ไบ† SOTA ๆˆ–ๅฏๆฏ”็š„็ป“ๆžœใ€‚ + +### Seed-TTS-eval + +
+Seed-TTS-eval WER(โฌ‡)&SIM(โฌ†) ็ป“ๆžœ๏ผˆ็‚นๅ‡ปๅฑ•ๅผ€๏ผ‰ + +| Model | Parameters | Open-Source | test-EN | | test-ZH | | test-Hard | | +|------|------|------|:------------:|:--:|:------------:|:--:|:-------------:|:--:| +| | | | WER/%โฌ‡ | SIM/%โฌ†| CER/%โฌ‡| SIM/%โฌ† | CER/%โฌ‡ | SIM/%โฌ† | +| MegaTTS3 | 0.5B | โŒ | 2.79 | 77.1 | 1.52 | 79.0 | - | - | +| DiTAR | 0.6B | โŒ | 1.69 | 73.5 | 1.02 | 75.3 | - | - | +| CosyVoice3 | 0.5B | โŒ | 2.02 | 71.8 | 1.16 | 78.0 | 6.08 | 75.8 | +| CosyVoice3 | 1.5B | โŒ | 2.22 | 72.0 | 1.12 | 78.1 | 5.83 | 75.8 | +| Seed-TTS | - | โŒ | 2.25 | 76.2 | 1.12 | 79.6 | 7.59 | 77.6 | +| MiniMax-Speech | - | โŒ | 1.65 | 69.2 | 0.83 | 78.3 | - | - | +| F5-TTS | 0.3B | โœ… | 2.00 | 67.0 | 1.53 | 76.0 | 8.67 | 71.3 | +| MaskGCT | 1B | โœ… | 2.62 | 71.7 | 2.27 | 77.4 | - | - | +| CosyVoice | 0.3B | โœ… | 4.29 | 60.9 | 3.63 | 72.3 | 11.75 | 70.9 | +| CosyVoice2 | 0.5B | โœ… | 3.09 | 65.9 | 1.38 | 75.7 | 6.83 | 72.4 | +| SparkTTS | 0.5B | โœ… | 3.14 | 57.3 | 1.54 | 66.0 | - | - | +| FireRedTTS | 0.5B | โœ… | 3.82 | 46.0 | 1.51 | 63.5 | 17.45 | 62.1 | +| FireRedTTS-2 | 1.5B | โœ… | 1.95 | 66.5 | 1.14 | 73.6 | - | - | +| Qwen2.5-Omni | 7B | โœ… | 2.72 | 63.2 | 1.70 | 75.2 | 7.97 | 74.7 | +| Qwen3-Omni | 30B-A3B | โœ… | 1.39 | - | 1.07 | - | - | - | +| OpenAudio-s1-mini | 0.5B | โœ… | 1.94 | 55.0 | 1.18 | 68.5 | 23.37 | 64.3 | +| IndexTTS2 | 1.5B | โœ… | 2.23 | 70.6 | 1.03 | 76.5 | 7.12 | 75.5 | +| VibeVoice | 1.5B | โœ… | 3.04 | 68.9 | 1.16 | 74.4 | - | - | +| HiggsAudio-v2 | 3B | โœ… | 2.44 | 67.7 | 1.50 | 74.0 | 55.07 | 65.6 | +| VoxCPM-0.5B | 0.6B | โœ… | 1.85 | 72.9 | 0.93 | 77.2 | 8.87 | 73.0 | +| VoxCPM1.5 | 0.8B | โœ… | 2.12 | 71.4 | 1.18 | 77.0 | 7.74 | 73.1 | +| MOSS-TTS | | โœ… | 1.85 | 73.4 | 1.20 | 78.8 | - | - | +| Qwen3-TTS | 1.7B | โœ… | 1.23 | 71.7 | 1.22 | 77.0 | 6.76 | 74.8 | +| FishAudio S2 | 4B | โœ… | 0.99 | - | 0.54 | - | 5.99 | - | +| LongCat-Audio-DiT | 3.5B | โœ… | 1.50 | 78.6 | 1.09 | 81.8 | 6.04 | 79.7 | +| **VoxCPM2** | 2B | โœ… | 1.84 | 75.3 | 0.97| 79.5| 8.13 | 75.3 | +
+ + +### CV3-eval +
+CV3-eval ๅคš่ฏญ่จ€ WER/CER(โฌ‡) ็ป“ๆžœ๏ผˆ็‚นๅ‡ปๅฑ•ๅผ€๏ผ‰ + +| Model | zh | en | hard-zh | hard-en | ja | ko | de | es | fr | it | ru | +|-------|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:| +| CosyVoice2 | 4.08 | 6.32 | 12.58| 11.96| 9.13 | 19.7 |- | - | - | - | - | +| CosyVoice3-1.5B | 3.91 | 4.99 | 9.77 | 10.55 | 7.57 | 5.69 | 6.43 | 4.47 | 11.8 | 10.5 | 6.64 | +| Fish Audio S2 | 2.65 | 2.43 | 9.10 | 4.40 | 3.96 | 2.76 | 2.22 | 2.00 | 6.26 | 2.04 | 2.78 | +| **VoxCPM2** | 3.65 | 5.00 | 8.55 | 8.48 | 5.96 | 5.69 | 4.77 | 3.80 | 9.85 | 4.25 | 5.21 | +
+ +### MiniMax-Multilingual-Test + +
+Minimax-MLS-test WER(โฌ‡) ็ป“ๆžœ๏ผˆ็‚นๅ‡ปๅฑ•ๅผ€๏ผ‰ + +| Language | Minimax | ElevenLabs | Qwen3-TTS | FishAudio S2 | **VoxCPM2** | +|----------|:-------:|:----------:|:--------------------:|:------------:|:-----------:| +| Arabic | **1.665** | 1.666 | โ€“ | 3.500 | 13.046 | +| Cantonese | 34.111 | 51.513 | โ€“ | **30.670** | 38.584 | +| Chinese | 2.252 | 16.026 | 0.928 | **0.730** | 1.136 | +| Czech | 3.875 | **2.108** | โ€“ | 2.840 | 24.132 | +| Dutch | 1.143 | **0.803** | โ€“ | 0.990 | 0.913 | +| English | 2.164 | 2.339 | **0.934** | 1.620 | 2.289 | +| Finnish | 4.666 | 2.964 | โ€“ | 3.330 | **2.632** | +| French | 4.099 | 5.216 | **2.858** | 3.050 | 4.534 | +| German | 1.906 | 0.572 | 1.235 | **0.550** | 0.679 | +| Greek | 2.016 | **0.991** | โ€“ | 5.740 | 2.844 | +| Hindi | 6.962 | **5.827** | โ€“ | 14.640 | 19.699 | +| Indonesian | 1.237 | **1.059** | โ€“ | 1.460 | 1.084 | +| Italian | 1.543 | 1.743 | **0.948** | 1.270 | 1.563 | +| Japanese | 3.519 | 10.646 | 3.823 | **2.760** | 4.628 | +| Korean | 1.747 | 1.865 | 1.755 | **1.180** | 1.962 | +| Polish | 1.415 | **0.766** | โ€“ | 1.260 | 1.141 | +| Portuguese | 1.877 | 1.331 | 1.526 | **1.140** | 1.938 | +| Romanian | 2.878 | **1.347** | โ€“ | 10.740 | 21.577 | +| Russian | 4.281 | 3.878 | 3.212 | **2.400** | 3.634 | +| Spanish | 1.029 | 1.084 | 1.126 | **0.910** | 1.438 | +| Thai | 2.701 | 73.936 | โ€“ | 4.230 | 2.961 | +| Turkish | 1.52 | 0.699 | โ€“ | 0.870 | 0.817 | +| Ukrainian | 1.082 | **0.997** | โ€“ | 2.300 | 6.316 | +| Vietnamese | **0.88** | 73.415 | โ€“ | 7.410 | 3.307 | + +
+ +
+Minimax-MLS-test SIM(โฌ†) ็ป“ๆžœ๏ผˆ็‚นๅ‡ปๅฑ•ๅผ€๏ผ‰ + +| Language | Minimax | ElevenLabs | Qwen3-TTS | FishAudio S2 | **VoxCPM2** | +|----------|:-------:|:----------:|:--------------------:|:------------:|:-----------:| +| Arabic | 73.6 | 70.6 | โ€“ | 75.0 | **79.1** | +| Cantonese | 77.8 | 67.0 | โ€“ | 80.5 | **83.5** | +| Chinese | 78.0 | 67.7 | 79.9 | 81.6 | **82.5** | +| Czech | 79.6 | 68.5 | โ€“ | **79.8** | 78.3 | +| Dutch | 73.8 | 68.0 | โ€“ | 73.0 | **80.8** | +| English | 75.6 | 61.3 | 77.5 | 79.7 | **85.4** | +| Finnish | 83.5 | 75.9 | โ€“ | 81.9 | **89.0** | +| French | 62.8 | 53.5 | 62.8 | 69.8 | **73.5** | +| German | 73.3 | 61.4 | 77.5 | 76.7 | **80.3** | +| Greek | 82.6 | 73.3 | โ€“ | 79.5 | **86.0** | +| Hindi | 81.8 | 73.0 | โ€“ | 82.1 | **85.6** | +| Indonesian | 72.9 | 66.0 | โ€“ | 76.3 | **80.0** | +| Italian | 69.9 | 57.9 | 81.7 | 74.7 | **78.0** | +| Japanese | 77.6 | 73.8 | 78.8 | 79.6 | **82.8** | +| Korean | 77.6 | 70.0 | 79.9 | 81.7 | **83.3** | +| Polish | 80.2 | 72.9 | โ€“ | 81.9 | **88.4** | +| Portuguese | 80.5 | 71.1 | 81.7 | 78.1 | **83.7** | +| Romanian | **80.9** | 69.9 | โ€“ | 73.3 | 79.7 | +| Russian | 76.1 | 67.6 | 79.2 | 79.0 | **81.1** | +| Spanish | 76.2 | 61.5 | 81.4 | 77.6 | **83.1** | +| Thai | 80.0 | 58.8 | โ€“ | 78.6 | **84.0** | +| Turkish | 77.9 | 59.6 | โ€“ | 83.5 | **87.1** | +| Ukrainian | 73.0 | 64.7 | โ€“ | 74.7 | **79.8** | +| Vietnamese | 74.3 | 36.9 | โ€“ | 74.0 | **80.6** | + +
+ +### Internal 30-Language ASR Benchmark + +ๆˆ‘ไปฌ้ขๅค–่ฟ›่กŒไบ†ๅ†…้ƒจๅคš่ฏญ่จ€ๅฏๆ‡‚ๅบฆ่ฏ„ๆต‹๏ผš**30 ่ฏญ็ง ร— 500 ๆ ทๆœฌ**๏ผŒASR ่ฝฌๅ†™่ฏ„ไผฐไฝฟ็”จ **Gemini 3.1 Flash Lite API**ใ€‚ + +
+ๅ†…้ƒจ30่ฏญ็ง่ฏ„ๆต‹้›†ASR็ป“ๆžœ๏ผˆ็‚นๅ‡ปๅฑ•ๅผ€๏ผ‰ + +| ่ฏญ่จ€ | ๆŒ‡ๆ ‡ | VoxCPM2 | Fish S2-Pro | +|---|---:|---:|---:| +| ar (้˜ฟๆ‹‰ไผฏ่ฏญ) | CER | 1.23% | 0.30% | +| da (ไธน้บฆ่ฏญ) | WER | 2.70% | 3.52% | +| de (ๅพท่ฏญ) | WER | 0.96% | 0.64% | +| el (ๅธŒ่…Š่ฏญ) | WER | 3.17% | 4.61% | +| en (่‹ฑ่ฏญ) | WER | 0.42% | 1.03% | +| es (่ฅฟ็ญ็‰™่ฏญ) | WER | 1.33% | 0.64% | +| fi (่Šฌๅ…ฐ่ฏญ) | WER | 2.24% | 2.80% | +| fr (ๆณ•่ฏญ) | WER | 2.16% | 2.34% | +| he (ๅธŒไผฏๆฅ่ฏญ) | CER | 2.98% | 15.27% | +| hi (ๅฐๅœฐ่ฏญ) | CER | 0.79% | 0.91% | +| id (ๅฐๅฐผ่ฏญ) | WER | 1.36% | 1.68% | +| it (ๆ„ๅคงๅˆฉ่ฏญ) | WER | 1.65% | 1.08% | +| ja (ๆ—ฅ่ฏญ) | CER | 2.40% | 1.82% | +| km (้ซ˜ๆฃ‰่ฏญ) | CER | 2.05% | 75.15% | +| ko (้Ÿฉ่ฏญ) | CER | 0.95% | 0.29% | +| lo (่€ๆŒ่ฏญ) | CER | 1.90% | 87.40% | +| ms (้ฉฌๆฅ่ฏญ) | WER | 1.75% | 1.41% | +| my (็ผ…็”ธ่ฏญ) | CER | 1.42% | 85.27% | +| nl (่ทๅ…ฐ่ฏญ) | WER | 1.25% | 1.68% | +| no (ๆŒชๅจ่ฏญ) | WER | 2.49% | 3.76% | +| pl (ๆณขๅ…ฐ่ฏญ) | WER | 1.90% | 1.65% | +| pt (่‘ก่„็‰™่ฏญ) | WER | 1.48% | 1.49% | +| ru (ไฟ„่ฏญ) | WER | 0.90% | 0.86% | +| sv (็‘žๅ…ธ่ฏญ) | WER | 2.22% | 2.63% | +| sw (ๆ–ฏ็“ฆๅธŒ้‡Œ่ฏญ) | CER | 1.07% | 2.02% | +| th (ๆณฐ่ฏญ) | CER | 0.94% | 1.92% | +| tl (่ฒๅพ‹ๅฎพ่ฏญ) | WER | 2.63% | 4.00% | +| tr (ๅœŸ่€ณๅ…ถ่ฏญ) | WER | 1.65% | 1.65% | +| vi (่ถŠๅ—่ฏญ) | WER | 1.56% | 5.56% | +| zh (ไธญๆ–‡) | CER | 0.92% | 1.02% | +| ๅนณๅ‡๏ผˆ30 ่ฏญ็ง๏ผ‰ | | **1.68%** | - | + +
+ + +### InstructTTSEval + +
+ๆŒ‡ไปค้ฉฑๅŠจ้Ÿณ่‰ฒ่ฎพ่ฎก็ป“ๆžœ (็‚นๅ‡ปๅฑ•ๅผ€) + +| Model | InstructTTSEval-ZH | | | InstructTTSEval-EN | | | +|-------|:---:|:----:|:----:|:----:|:----:|:----:| +| | APSโฌ†| DSDโฌ† | RPโฌ†| APSโฌ† | DSDโฌ† | RPโฌ† | +| Hume | โ€“ | โ€“ | โ€“ | 83.0 | 75.3 | 54.3 | +| VoxInstruct | 47.5 | 52.3 | 42.6 | 54.9 | 57.0 | 39.3 | +| Parler-tts-mini | โ€“ | โ€“ | โ€“ | 63.4 | 48.7 | 28.6 | +| Parler-tts-large | โ€“ | โ€“ | โ€“ | 60.0 | 45.9 | 31.2 | +| PromptTTS | โ€“ | โ€“ | โ€“ | 64.3 | 47.2 | 31.4 | +| PromptStyle | โ€“ | โ€“ | โ€“ | 57.4 | 46.4 | 30.9 | +| VoiceSculptor | 75.7 | 64.7 | 61.5 | โ€“ | โ€“ | โ€“ | +| Mimo-Audio-7B-Instruct | 75.7 | 74.3 | 61.5 | 80.6 | 77.6 | 59.5 | +| Qwen3TTS-12Hz-1.7B-VD | **85.2** | **81.1** | **65.1** | 82.9 | 82.4 | 68.4 | +| **VoxCPM2** | **85.2** | 71.5 | 60.8 | **84.2** | **83.2** | **71.4** | + +
+ +--- + +## โš™๏ธ ๅพฎ่ฐƒ + +VoxCPM ๆ”ฏๆŒ**ๅ…จๅ‚ๆ•ฐๅพฎ่ฐƒ๏ผˆSFT๏ผ‰** ๅ’Œ **LoRA ๅพฎ่ฐƒ**ใ€‚ไป…้œ€ **5-10ๅˆ†้’Ÿ** ็š„้Ÿณ้ข‘ๆ•ฐๆฎ๏ผŒๅณๅฏ้€‚้…็‰นๅฎš่ฏด่ฏไบบใ€่ฏญ่จ€ๆˆ–้ข†ๅŸŸใ€‚ + +```bash +# LoRA ๅพฎ่ฐƒ๏ผˆๅ‚ๆ•ฐ้ซ˜ๆ•ˆ๏ผŒๆŽจ่๏ผ‰ +python scripts/train_voxcpm_finetune.py \ + --config_path conf/voxcpm_v2/voxcpm_finetune_lora.yaml + +# ๅ…จๅ‚ๆ•ฐๅพฎ่ฐƒ +python scripts/train_voxcpm_finetune.py \ + --config_path conf/voxcpm_v2/voxcpm_finetune_all.yaml + +# WebUI ่ฎญ็ปƒไธŽๆŽจ็† +python lora_ft_webui.py # ็„ถๅŽๆ‰“ๅผ€ http://localhost:7860 +``` + +> **ๅฎŒๆ•ดๆŒ‡ๅ— โ†’** [ๅพฎ่ฐƒๆ–‡ๆกฃ](https://voxcpm.readthedocs.io/zh-cn/latest/finetuning/finetune.html)๏ผˆๆ•ฐๆฎๅ‡†ๅค‡ใ€้…็ฝฎใ€่ฎญ็ปƒใ€LoRA ็ƒญๅˆ‡ๆขใ€ๅธธ่ง้—ฎ้ข˜๏ผ‰ + +--- + +## ๐Ÿ“š ๆ–‡ๆกฃ + +ๅฎŒๆ•ดๆ–‡ๆกฃ๏ผš**[voxcpm.readthedocs.io](https://voxcpm.readthedocs.io/zh-cn/latest/)** + +| ไธป้ข˜ | ้“พๆŽฅ | +|---|---| +| ๅฟซ้€Ÿๅผ€ๅง‹ไธŽๅฎ‰่ฃ… | [ๅฟซ้€Ÿๅผ€ๅง‹](https://voxcpm.readthedocs.io/zh-cn/latest/quickstart.html) | +| ไฝฟ็”จๆŒ‡ๅ—ไธŽ Cookbook | [ไฝฟ็”จๆŒ‡ๅ—](https://voxcpm.readthedocs.io/zh-cn/latest/usage_guide.html) | +| VoxCPM ็ณปๅˆ—ๆจกๅž‹ | [ๆจกๅž‹ๅˆ—่กจ](https://voxcpm.readthedocs.io/zh-cn/latest/models/version_history.html) | +| ๅพฎ่ฐƒ๏ผˆSFT & LoRA๏ผ‰ | [ๅพฎ่ฐƒๆŒ‡ๅ—](https://voxcpm.readthedocs.io/zh-cn/latest/finetuning/finetune.html) | +| ๅธธ่ง้—ฎ้ข˜ | [FAQ](https://voxcpm.readthedocs.io/zh-cn/latest/faq.html) | + +--- + +## ๐ŸŒŸ ็”Ÿๆ€ไธŽ็คพๅŒบ + +| ้กน็›ฎ | ่ฏดๆ˜Ž | +|---|---| +| [**Nano-vLLM**](https://github.com/a710128/nanovllm-voxcpm) | ้ซ˜ๅžๅๅฟซ้€Ÿ GPU ๆŽจ็†ๅผ•ๆ“Ž | +| [**vLLM-Omni**](https://github.com/vllm-project/vllm-omni) | ๅฎ˜ๆ–น vLLM ๅ…จๆจกๆ€ๆœๅŠก๏ผˆๅŽŸ็”Ÿๆ”ฏๆŒ VoxCPM2๏ผ‰โ€” PagedAttentionใ€OpenAI ๅ…ผๅฎน API | +| [**llama.cpp-omni**](https://github.com/tc-mb/llama.cpp-omni) | ๅ…จๅŒๅทฅๅ…จๆจกๆ€ๆŽจ็†ๅผ•ๆ“Ž โ€” VoxCPM2 GGUF๏ผŒๆ”ฏๆŒ CPU / Metal / CUDA / Vulkan | +| [**VoxCPM.cpp**](https://github.com/bluryar/VoxCPM.cpp) | GGML/GGUF๏ผšCPUใ€CUDAใ€Vulkan ๆŽจ็† | +| [**audio.cpp**](https://github.com/0xShug0/audio.cpp) | ๅŸบไบŽ ggml ็š„็ปŸไธ€ C++ ๆŽจ็†ๆก†ๆžถ โ€” CPU/CUDA/Vulkan/Metal๏ผŒCLI ไธŽๆœๅŠก็ซฏ๏ผŒๆ— ้œ€ Python | +| [**VoxCPM-ONNX**](https://github.com/bluryar/VoxCPM-ONNX) | ONNX ๅฏผๅ‡บ๏ผŒๆ”ฏๆŒ CPU ๆŽจ็† | +| [**VoxCPMANE**](https://github.com/0seba/VoxCPMANE) | Apple Neural Engine ๅŽ็ซฏ | +| [**voxcpm_rs**](https://github.com/madushan1000/voxcpm_rs) | Rust ้‡ๆ–ฐๅฎž็Žฐ | +| [**ComfyUI-VoxCPM**](https://github.com/wildminder/ComfyUI-VoxCPM) | ComfyUI ่Š‚็‚นๅทฅไฝœๆต | +| [**ComfyUI_RH_VoxCPM**](https://github.com/HM-RunningHub/ComfyUI_RH_VoxCPM) | ้ขๅ‘ VoxCPM 2 ็š„ๅŠŸ่ƒฝๆ›ดๅฎŒๆ•ด็š„ ComfyUI ๅทฅไฝœๆต๏ผŒๆ”ฏๆŒๅคš่ฏด่ฏไบบใ€LoRA ๅ’Œ่‡ชๅŠจ ASR | +| [**ComfyUI-VoxCPMTTS**](https://github.com/1038lab/ComfyUI-VoxCPMTTS) | ComfyUI TTS ๆ‰ฉๅฑ• | +| [**TTS WebUI**](https://github.com/rsxdalv/tts_webui_extension.vox_cpm) | ๆต่งˆๅ™จ็ซฏ TTS ๆ‰ฉๅฑ• | + +> ๅฎŒๆ•ด็”Ÿๆ€่ง[ๆ–‡ๆกฃ](https://voxcpm.readthedocs.io/zh-cn/latest/)ใ€‚็คพๅŒบ้กน็›ฎ้ž OpenBMB ๅฎ˜ๆ–น็ปดๆŠคใ€‚ๅšไบ†ไป€ไนˆๆœ‰่ถฃ็š„ไธœ่ฅฟ๏ผŸ[ๆ Issue ๆˆ– PR](https://github.com/OpenBMB/VoxCPM/issues) ๆŠŠๅฎƒๅŠ ่ฟ›ๆฅ๏ผ + +--- + +## โš ๏ธ ้ฃŽ้™ฉไธŽๅฑ€้™ๆ€ง + +- **ๆปฅ็”จ้ฃŽ้™ฉ๏ผš** VoxCPM ็š„ๅฃฐ้Ÿณๅ…‹้š†่ƒฝๅŠ›ๅฏ็”Ÿๆˆ้ซ˜ๅบฆ้€ผ็œŸ็š„ๅˆๆˆ่ฏญ้Ÿณใ€‚**ไธฅ็ฆ**ๅฐ† VoxCPM ็”จไบŽๅ†’ๅ……ไป–ไบบใ€ๆฌบ่ฏˆๆˆ–่™šๅ‡ไฟกๆฏไผ ๆ’ญใ€‚ๆˆ‘ไปฌๅผบ็ƒˆๅปบ่ฎฎๅฏนๆ‰€ๆœ‰ AI ็”Ÿๆˆ็š„ๅ†…ๅฎน่ฟ›่กŒๆ˜Ž็กฎๆ ‡ๆณจใ€‚ +- **ๅฏๆŽง็”Ÿๆˆ็จณๅฎšๆ€ง๏ผš** ้Ÿณ่‰ฒ่ฎพ่ฎกๅ’ŒๅฏๆŽงๅฃฐ้Ÿณๅ…‹้š†็š„็ป“ๆžœๅฏ่ƒฝๅ› ็”Ÿๆˆๆฌกๆ•ฐ่€Œๅผ‚ โ€” ๅปบ่ฎฎๅฐ่ฏ•็”Ÿๆˆ 1~3 ๆฌกไปฅ่Žทๅพ—็†ๆƒณ็š„้Ÿณ่‰ฒๆˆ–้ฃŽๆ ผใ€‚ๆˆ‘ไปฌๆญฃๅœจ็งฏๆžๆๅ‡ๅฏๆŽงๆ€ง็š„ไธ€่‡ดๆ€งใ€‚ +- **่ฏญ่จ€่ฆ†็›–๏ผš** VoxCPM2 ๅฎ˜ๆ–นๆ”ฏๆŒ 30 ็ง่ฏญ่จ€ใ€‚ๅฏนไบŽๆœชๅˆ—ๅ…ฅ็š„่ฏญ่จ€๏ผŒๆฌข่ฟŽ็›ดๆŽฅๆต‹่ฏ•ๆˆ–ไฝฟ็”จ่‡ชๆœ‰ๆ•ฐๆฎ่ฟ›่กŒๅพฎ่ฐƒใ€‚ๆˆ‘ไปฌ่ฎกๅˆ’ๅœจๆœชๆฅ็‰ˆๆœฌไธญๆ‰ฉๅฑ•่ฏญ่จ€่ฆ†็›–ใ€‚ +- **ไฝฟ็”จ่ฏดๆ˜Ž๏ผš** ๆœฌๆจกๅž‹ๅŸบไบŽ Apache-2.0 ๅ่ฎฎๅ‘ๅธƒใ€‚็”จไบŽ็”Ÿไบง้ƒจ็ฝฒๆ—ถ๏ผŒๆˆ‘ไปฌๅปบ่ฎฎ้’ˆๅฏนๅ…ทไฝ“ๅœบๆ™ฏ่ฟ›่กŒๅ……ๅˆ†็š„ๆต‹่ฏ•ๅ’Œๅฎ‰ๅ…จ่ฏ„ไผฐใ€‚ + +--- + +## ๐Ÿ“– ๅผ•็”จ + +ๅฆ‚ๆžœ VoxCPM ๅฏนๆ‚จๆœ‰ๅธฎๅŠฉ๏ผŒ่ฏท่€ƒ่™‘ๅผ•็”จๆˆ‘ไปฌ็š„ๅทฅไฝœๅนถไธบไป“ๅบ“ๅŠ ๆ˜Ÿ โญ๏ผ + +```bib +@article{zhou2026voxcpm2, + title = {VoxCPM2 Technical Report}, + author = {Zhou, Yixuan and Zeng, Guoyang and Liu, Xin and Li, Xiang and Yu, Renjie and Gui, Jiancheng and Wu, Jiaheng and Wang, Ziyang and Shen, Xudong and Ye, Runchuan and Zhang, Zhisheng and Zhou, Jiuyang and Bai, Bingsong and Sun, Weiyue and Deng, Mengyuan and Shi, Qundong and Wu, Zhiyong and Liu, Zhiyuan}, + journal = {arXiv preprint arXiv:2606.06928}, + year = {2026}, +} + +@article{zhou2025voxcpm, + title = {Voxcpm: Tokenizer-free TTS for context-aware speech generation and true-to-life voice cloning}, + author = {Zhou, Yixuan and Zeng, Guoyang and Liu, Xin and Li, Xiang and Yu, Renjie and Wang, Ziyang and Ye, Runchuan and Sun, Weiyue and Gui, Jiancheng and Li, Kehan and Wu, Zhiyong and Liu, Zhiyuan}, + journal = {arXiv preprint arXiv:2509.24650}, + year = {2025} +} +``` + +## ๐Ÿ“„ ่ฎธๅฏ่ฏ + +VoxCPM ๆจกๅž‹ๆƒ้‡ๅ’Œไปฃ็ ๅŸบไบŽ [Apache-2.0](LICENSE) ๅ่ฎฎๅผ€ๆบใ€‚ + +## ๐Ÿ™ ่‡ด่ฐข + +- [DiTAR](https://arxiv.org/abs/2502.03930) ๆ‰ฉๆ•ฃ่‡ชๅ›žๅฝ’้ชจๅนฒๆžถๆž„ +- [MiniCPM-4](https://github.com/OpenBMB/MiniCPM) ่ฏญ่จ€ๆจกๅž‹ๅŸบๅบง +- [CosyVoice](https://github.com/FunAudioLLM/CosyVoice) ๅŸบไบŽ Flow Matching ็š„ LocDiT ๅฎž็Žฐ +- [DAC](https://github.com/descriptinc/descript-audio-codec) Audio VAE ้ชจๅนฒ +- ๆ„Ÿ่ฐขๆ‰€ๆœ‰็คพๅŒบ็”จๆˆท่ฏ•็”จ VoxCPMใ€ๅ้ฆˆ้—ฎ้ข˜ใ€ๅˆ†ไบซๆƒณๆณ•ๅ’Œ่ดก็Œฎโ€”โ€”ไฝ ไปฌ็š„ๆ”ฏๆŒ่ฎฉ้กน็›ฎๆŒ็ปญ่ฟ›ๆญฅ + +## ๆœบๆž„ + +

+ ้ขๅฃๆ™บ่ƒฝ +     + ๆธ…ๅŽๅคงๅญฆไบบๆœบไบคไบ’ๅฎž้ชŒๅฎค +

+ +## โญ Star ๅŽ†ๅฒ + +[![Star History Chart](https://api.star-history.com/svg?repos=OpenBMB/VoxCPM&type=Date)](https://star-history.com/#OpenBMB/VoxCPM&Date) diff --git a/app.py b/app.py new file mode 100644 index 0000000..1544828 --- /dev/null +++ b/app.py @@ -0,0 +1,606 @@ +import os +import re +import sys +import logging +import random +import numpy as np +import gradio as gr +from typing import Optional, Tuple +from funasr import AutoModel +from pathlib import Path + +os.environ["TOKENIZERS_PARALLELISM"] = "false" + +import voxcpm +from voxcpm.model.utils import resolve_runtime_device + +logging.basicConfig( + level=logging.INFO, + format="%(asctime)s - %(levelname)s - %(message)s", + handlers=[logging.StreamHandler(sys.stdout)], +) +logger = logging.getLogger(__name__) + +# ---------- Inline i18n (en + zh-CN only) ---------- + +_USAGE_INSTRUCTIONS_EN = ( + "**VoxCPM2 โ€” Three Modes of Speech Generation:**\n\n" + "๐ŸŽจ **Voice Design** โ€” Create a brand-new voice \n" + "No reference audio required. Describe the desired voice characteristics " + "(gender, age, tone, emotion, pace โ€ฆ) in **Control Instruction**, and VoxCPM2 " + "will craft a unique voice from your description alone.\n\n" + "๐ŸŽ›๏ธ **Controllable Cloning** โ€” Clone a voice with optional style guidance \n" + "Upload a reference audio clip, then use **Control Instruction** to steer " + "emotion, speaking pace, and overall style while preserving the original timbre.\n\n" + "๐ŸŽ™๏ธ **Ultimate Cloning** โ€” Reproduce every vocal nuance through audio continuation \n" + "Turn on **Ultimate Cloning Mode** and provide (or auto-transcribe) the reference audio's transcript. " + "The model treats the reference clip as a spoken prefix and seamlessly **continues** from it, faithfully preserving every vocal detail." + "Note: This mode will disable Control Instruction." +) + +_EXAMPLES_FOOTER_EN = ( + "---\n" + "**๐Ÿ’ก Voice Description Examples:** \n" + "Try the following Control Instructions to explore different voices: \n\n" + "**Example 1 โ€” Gentle & Melancholic Girl** \n" + '`Control Instruction`: *"A young girl with a soft, sweet voice. ' + 'Speaks slowly with a melancholic, slightly tsundere tone."* \n' + "`Target Text`: *\"I never asked you to stayโ€ฆ It's not like I care or anything. " + "Butโ€ฆ why does it still hurt so much now that you're gone?\"* \n\n" + "**Example 2 โ€” Laid-Back Surfer Dude** \n" + '`Control Instruction`: *"Relaxed young male voice, slightly nasal, ' + 'lazy drawl, very casual and chill."* \n' + '`Target Text`: *"Dude, did you see that set? The waves out there are totally gnarly today. ' + "Just catching barrels all morning โ€” it's like, totally righteous, you know what I mean?\"*" +) + +_USAGE_INSTRUCTIONS_ZH = ( + "**VoxCPM2 โ€” ไธ‰็ง่ฏญ้Ÿณ็”Ÿๆˆๆ–นๅผ๏ผš**\n\n" + "๐ŸŽจ **ๅฃฐ้Ÿณ่ฎพ่ฎก๏ผˆVoice Design๏ผ‰** \n" + "ๆ— ้œ€ๅ‚่€ƒ้Ÿณ้ข‘ใ€‚ๅœจ **Control Instruction** ไธญๆ่ฟฐ็›ฎๆ ‡้Ÿณ่‰ฒ็‰นๅพ" + "๏ผˆๆ€งๅˆซใ€ๅนด้พ„ใ€่ฏญๆฐ”ใ€ๆƒ…็ปชใ€่ฏญ้€Ÿ็ญ‰๏ผ‰๏ผŒVoxCPM2 ๅณๅฏไธบไฝ ไปŽ้›ถๅˆ›้€ ็‹ฌไธ€ๆ— ไบŒ็š„ๅฃฐ้Ÿณใ€‚\n\n" + "๐ŸŽ›๏ธ **ๅฏๆŽงๅ…‹้š†๏ผˆControllable Cloning๏ผ‰** \n" + "ไธŠไผ ๅ‚่€ƒ้Ÿณ้ข‘๏ผŒๅŒๆ—ถๅฏ้€‰ๅœฐไฝฟ็”จ **Control Instruction** ๆฅๆŒ‡ๅฎšๆƒ…็ปชใ€่ฏญ้€Ÿใ€้ฃŽๆ ผ็ญ‰่กจ่พพๆ–นๅผ๏ผŒ" + "ๅœจไฟ็•™ๅŽŸๅง‹้Ÿณ่‰ฒ็š„ๅŸบ็ก€ไธŠ็ตๆดปๆŽงๅˆถ่ฏด่ฏ้ฃŽๆ ผใ€‚\n\n" + "๐ŸŽ™๏ธ **ๆž่‡ดๅ…‹้š†๏ผˆUltimate Cloning๏ผ‰** \n" + "ๅผ€ๅฏ **ๆž่‡ดๅ…‹้š†ๆจกๅผ** ๅนถๆไพ›ๅ‚่€ƒ้Ÿณ้ข‘็š„ๆ–‡ๅญ—ๅ†…ๅฎน๏ผˆๅฏ่‡ชๅŠจ่ฏ†ๅˆซ๏ผ‰ใ€‚" + "ๆจกๅž‹ไผšๅฐ†ๅ‚่€ƒ้Ÿณ้ข‘่ง†ไธบๅทฒ่ฏดๅ‡บ็š„ๅ‰ๆ–‡๏ผŒไปฅ**้Ÿณ้ข‘็ปญๅ†™**็š„ๆ–นๅผๅฎŒๆ•ด่ฟ˜ๅŽŸๅ‚่€ƒ้Ÿณ้ข‘ไธญ็š„ๆ‰€ๆœ‰ๅฃฐ้Ÿณ็ป†่Š‚ใ€‚" + "ๆณจๆ„๏ผš่ฏฅๆจกๅผไธŽๅฏๆŽงๅ…‹้š†ๆจกๅผไบ’ๆ–ฅ๏ผŒๅฐ†็ฆ็”จControl Instructionใ€‚\n\n" +) + +_EXAMPLES_FOOTER_ZH = ( + "---\n" + "**๐Ÿ’ก ๅฃฐ้Ÿณๆ่ฟฐ็คบไพ‹๏ผˆไธญ่‹ฑๆ–‡ๅ‡ๅฏ๏ผ‰๏ผš** \n\n" + "**็คบไพ‹ 1 โ€” ๆทฑๅฎซๅคชๅŽ** \n" + '`Control Instruction`: *"ไธญ่€ๅนดๅฅณๆ€ง๏ผŒๅฃฐ้ŸณไฝŽๆฒ‰้˜ดๅ†ท๏ผŒ่ฏญ้€Ÿ็ผ“ๆ…ข่€Œๆœ‰ๅŠ›๏ผŒ' + 'ๅญ—ๅญ—ๆทฑๆ€็†Ÿ่™‘๏ผŒๅธฆๆœ‰ๆทฑไธๅฏๆต‹็š„ๅŸŽๅบœไธŽๅจๆ…‘ๆ„Ÿใ€‚"* \n' + '`Target Text`: *"ๅ“€ๅฎถๅœจ่ฟ™ๆทฑๅฎซๅพ…ไบ†ๅ››ๅๅนด๏ผŒไป€ไนˆ้ฃŽๆตชๆฒก่ง่ฟ‡๏ผŸไฝ ไปฅไธบ็ž’ๅพ—่ฟ‡ๅ“€ๅฎถ๏ผŸ"* \n\n' + "**็คบไพ‹ 2 โ€” ๆšด่บ้ฉพๆ กๆ•™็ปƒ** \n" + '`Control Instruction`: *"ๆšด่บ็š„ไธญๅนด็”ทๅฃฐ๏ผŒ่ฏญ้€Ÿๅฟซ๏ผŒๅ……ๆปกๆ— ๅฅˆๅ’Œๆ„คๆ€’"* \n' + '`Target Text`: *"่ธฉ็ฆปๅˆ๏ผ่ธฉๅˆน่ฝฆๅ•Š๏ผไฝ ๅพ€ๅ“ชๅ„ฟๅผ€ๅ‘ข๏ผŸๅ‰้ขๆ˜ฏๆ ‘ไฝ ็œ‹ไธ่งๅ—๏ผŸ' + 'ๆˆ‘ๆ•™ไบ†ไฝ ๅ…ซ็™พ้ไบ†๏ผŒๆ‰“ๆญปๆ–นๅ‘็›˜๏ผไฝ ๆ˜ฏไธๆ˜ฏๆƒณๆŠŠ่ฝฆ็ป™ๆˆ‘ๅผ€ๅˆฐๆฒŸ้‡ŒๅŽป๏ผŸ"* \n\n' + "---\n" + "**๐Ÿ—ฃ๏ธ ๆ–น่จ€็”ŸๆˆๆŒ‡ๅ—๏ผš** \n" + "่ฆ็”Ÿๆˆๅœฐ้“็š„ๆ–น่จ€่ฏญ้Ÿณ๏ผŒ่ฏทๅœจ **Target Text** ไธญ็›ดๆŽฅไฝฟ็”จๆ–น่จ€่ฏๆฑ‡ๅ’Œๅฅๅผ๏ผŒ" + "ๅนถๅœจ **Control Instruction** ไธญๆ่ฟฐๆ–น่จ€็‰นๅพใ€‚ \n\n" + "**็คบไพ‹ โ€” ๅนฟไธœ่ฏ** \n" + '`Control Instruction`: *"็ฒค่ฏญ๏ผŒไธญๅนด็”ทๆ€ง๏ผŒ่ฏญๆฐ”ๅนณๆทก"* \n' + 'โœ… ๆญฃ็กฎ๏ผˆ็ฒค่ฏญ่กจ่พพ๏ผ‰๏ผš*"ไผ™่จˆ๏ผŒๅ””่ฉฒไธ€ๅ€‹A้ค๏ผŒๅ‡ๅฅถ่Œถๅฐ‘็”œ๏ผ"* \n' + 'โŒ ้”™่ฏฏ๏ผˆๆ™ฎ้€š่ฏๅŽŸๆ–‡๏ผ‰๏ผš*"ไผ™่ฎก๏ผŒ้บป็ƒฆๆฅไธ€ไธชA้ค๏ผŒๅ†ปๅฅถ่Œถๅฐ‘็”œ๏ผ"* \n\n' + "**็คบไพ‹ โ€” ๆฒณๅ—่ฏ** \n" + '`Control Instruction`: *"ๆฒณๅ—่ฏ๏ผŒๆŽฅๅœฐๆฐ”็š„ๅคงๅ”"* \n' + 'โœ… ๆญฃ็กฎ๏ผˆๆฒณๅ—่ฏ่กจ่พพ๏ผ‰๏ผš*"ๆ่ฟ™ๆ˜ฏๅผ„ๅ•ฅๅ˜ž๏ผŸๆ™Œๅˆๅƒๅ•ฅ้ฅญ๏ผŸ"* \n' + 'โŒ ้”™่ฏฏ๏ผˆๆ™ฎ้€š่ฏๅŽŸๆ–‡๏ผ‰๏ผš*"ไฝ ่ฟ™ๆ˜ฏๅœจๅนฒไป€ไนˆๅ‘ข๏ผŸไธญๅˆๅƒไป€ไนˆ้ฅญ๏ผŸ"* \n\n' + "๐Ÿค– **ๅฐๆŠ€ๅทง๏ผš** ไธ็Ÿฅ้“ๆ–น่จ€ๆ€Žไนˆๅ†™๏ผŸๅฏไปฅ็”จ่ฑ†ๅŒ…ใ€DeepSeekใ€Kimi ็ญ‰ AI ๅŠฉๆ‰‹" + "ๅฐ†ๆ™ฎ้€š่ฏ็ฟป่ฏ‘ไธบๆ–น่จ€ๆ–‡ๆœฌ๏ผŒๅ†็ฒ˜่ดดๅˆฐ Target Text ไธญๅณๅฏใ€‚ \n\n" +) + +_I18N_TRANSLATIONS = { + "en": { + "reference_audio_label": "๐ŸŽค Reference Audio (optional โ€” upload for cloning)", + "show_prompt_text_label": "๐ŸŽ™๏ธ Ultimate Cloning Mode (transcript-guided cloning)", + "show_prompt_text_info": "Auto-transcribes reference audio for every vocal nuance reproduced. Control Instruction will be disabled when active.", + "prompt_text_label": "Transcript of Reference Audio (auto-filled via ASR, editable)", + "prompt_text_placeholder": "The transcript of your reference audio will appear here โ€ฆ", + "control_label": "๐ŸŽ›๏ธ Control Instruction (optional โ€” supports Chinese & English)", + "control_placeholder": "e.g. A warm young woman / ๅนด่ฝปๅฅณๆ€ง๏ผŒๆธฉๆŸ”็”œ็พŽ / Excited and fast-paced", + "target_text_label": "โœ๏ธ Target Text โ€” the content to speak", + "generate_btn": "๐Ÿ”Š Generate Speech", + "generated_audio_label": "Generated Audio", + "advanced_settings_title": "โš™๏ธ Advanced Settings", + "ref_denoise_label": "Reference audio enhancement", + "ref_denoise_info": "Apply ZipEnhancer denoising to the reference audio before cloning", + "normalize_label": "Text normalization", + "normalize_info": "Normalize numbers, dates, and abbreviations via wetext", + "cfg_label": "CFG (guidance scale)", + "cfg_info": "Higher โ†’ closer to the prompt / reference; lower โ†’ more creative variation", + "dit_steps_label": "LocDiT flow-matching steps", + "dit_steps_info": "LocDiT flow-matching steps โ€” more steps โ†’ maybe better audio quality, but slower", + "seed_label": "Seed", + "seed_info": "Seed used for reproducible generation. Updated with the actual successful seed after generation.", + "random_seed_label": "Random Seed", + "random_seed_info": "Generate a new seed before each inference run.", + "usage_instructions": _USAGE_INSTRUCTIONS_EN, + "examples_footer": _EXAMPLES_FOOTER_EN, + }, + "zh-CN": { + "reference_audio_label": "๐ŸŽค ๅ‚่€ƒ้Ÿณ้ข‘๏ผˆๅฏ้€‰ โ€” ไธŠไผ ๅŽ็”จไบŽๅ…‹้š†๏ผ‰", + "show_prompt_text_label": "๐ŸŽ™๏ธ ๆž่‡ดๅ…‹้š†ๆจกๅผ๏ผˆๅŸบไบŽๆ–‡ๆœฌๅผ•ๅฏผ็š„ๆž่‡ดๅ…‹้š†๏ผ‰", + "show_prompt_text_info": "่‡ชๅŠจ่ฏ†ๅˆซๅ‚่€ƒ้Ÿณ้ข‘ๆ–‡ๆœฌ๏ผŒๅฎŒๆ•ด่ฟ˜ๅŽŸ้Ÿณ่‰ฒใ€่Š‚ๅฅใ€ๆƒ…ๆ„Ÿ็ญ‰ๅ…จ้ƒจๅฃฐ้Ÿณ็ป†่Š‚ใ€‚ๅผ€ๅฏๅŽ Control Instruction ๅฐ†ๆš‚ๆ—ถ็ฆ็”จ", + "prompt_text_label": "ๅ‚่€ƒ้Ÿณ้ข‘ๅ†…ๅฎนๆ–‡ๆœฌ๏ผˆASR ่‡ชๅŠจๅกซๅ……๏ผŒๅฏๆ‰‹ๅŠจ็ผ–่พ‘๏ผ‰", + "prompt_text_placeholder": "ๅ‚่€ƒ้Ÿณ้ข‘็š„ๆ–‡ๅญ—ๅ†…ๅฎนๅฐ†่‡ชๅŠจ่ฏ†ๅˆซๅนถๆ˜พ็คบๅœจๆญคๅค„ โ€ฆ", + "control_label": "๐ŸŽ›๏ธ Control Instruction๏ผˆๅฏ้€‰ โ€” ๆ”ฏๆŒไธญ่‹ฑๆ–‡ๆ่ฟฐ๏ผ‰", + "control_placeholder": "ๅฆ‚๏ผšๅนด่ฝปๅฅณๆ€ง๏ผŒๆธฉๆŸ”็”œ็พŽ / A warm young woman / ๆšด่บ่€ๅ“ฅ๏ผŒ่ฏญ้€Ÿ้ฃžๅฟซ", + "target_text_label": "โœ๏ธ Target Text โ€” ่ฆๅˆๆˆ็š„็›ฎๆ ‡ๆ–‡ๆœฌ", + "generate_btn": "๐Ÿ”Š ๅผ€ๅง‹็”Ÿๆˆ", + "generated_audio_label": "็”Ÿๆˆ็ป“ๆžœ", + "advanced_settings_title": "โš™๏ธ ้ซ˜็บง่ฎพ็ฝฎ", + "ref_denoise_label": "ๅ‚่€ƒ้Ÿณ้ข‘้™ๅ™ชๅขžๅผบ", + "ref_denoise_info": "ๅ…‹้š†ๅ‰ไฝฟ็”จ ZipEnhancer ๅฏนๅ‚่€ƒ้Ÿณ้ข‘่ฟ›่กŒ้™ๅ™ชๅค„็†", + "normalize_label": "ๆ–‡ๆœฌ่ง„่ŒƒๅŒ–", + "normalize_info": "่‡ชๅŠจ่ง„่ŒƒๅŒ–ๆ•ฐๅญ—ใ€ๆ—ฅๆœŸๅŠ็ผฉๅ†™๏ผˆๅŸบไบŽ wetext๏ผ‰", + "cfg_label": "CFG๏ผˆๅผ•ๅฏผๅผบๅบฆ๏ผ‰", + "cfg_info": "ๆ•ฐๅ€ผ่ถŠ้ซ˜ โ†’ ่ถŠ่ดดๅˆๆ็คบ/ๅ‚่€ƒ้Ÿณ่‰ฒ๏ผ›ๆ•ฐๅ€ผ่ถŠไฝŽ โ†’ ็”Ÿๆˆ้ฃŽๆ ผๆ›ด่‡ช็”ฑ", + "dit_steps_label": "LocDiT ๆตๅŒน้…่ฟญไปฃๆญฅๆ•ฐ", + "dit_steps_info": "LocDiT ๆตๅŒน้…็”Ÿๆˆ่ฟญไปฃๆญฅๆ•ฐ โ€” ๆญฅๆ•ฐ่ถŠๅคš โ†’ ๅฏ่ƒฝ็”Ÿๆˆๆ›ดๅฅฝ็š„้Ÿณ้ข‘่ดจ้‡๏ผŒไฝ†้€Ÿๅบฆๅ˜ๆ…ข", + "usage_instructions": _USAGE_INSTRUCTIONS_ZH, + "examples_footer": _EXAMPLES_FOOTER_ZH, + }, + "zh-Hans": None, # alias, filled below + "zh": None, # alias, filled below +} +_I18N_TRANSLATIONS["zh-Hans"] = _I18N_TRANSLATIONS["zh-CN"] +_I18N_TRANSLATIONS["zh"] = _I18N_TRANSLATIONS["zh-CN"] + +for _d in _I18N_TRANSLATIONS.values(): + if _d is not None: + for _k, _v in _I18N_TRANSLATIONS["en"].items(): + _d.setdefault(_k, _v) + +I18N = gr.I18n(**_I18N_TRANSLATIONS) + +DEFAULT_TARGET_TEXT = ( + "VoxCPM2 is a creative multilingual TTS model from ModelBest, " "designed to generate highly realistic speech." +) + +_CUSTOM_CSS = """ +.logo-container { + text-align: center; + margin: 0.5rem 0 1rem 0; +} +.logo-container img { + height: 80px; + width: auto; + max-width: 200px; + display: inline-block; +} + +/* Toggle switch style */ +.switch-toggle { + padding: 8px 12px; + border-radius: 8px; + background: var(--block-background-fill); +} +.switch-toggle input[type="checkbox"] { + appearance: none; + -webkit-appearance: none; + width: 44px; + height: 24px; + background: #ccc; + border-radius: 12px; + position: relative; + cursor: pointer; + transition: background 0.3s ease; + flex-shrink: 0; +} +.switch-toggle input[type="checkbox"]::after { + content: ""; + position: absolute; + top: 2px; + left: 2px; + width: 20px; + height: 20px; + background: white; + border-radius: 50%; + transition: transform 0.3s ease; + box-shadow: 0 1px 3px rgba(0,0,0,0.2); +} +.switch-toggle input[type="checkbox"]:checked { + background: var(--color-accent); +} +.switch-toggle input[type="checkbox"]:checked::after { + transform: translateX(20px); +} +""" + +_APP_THEME = gr.themes.Soft( + primary_hue="blue", + secondary_hue="gray", + neutral_hue="slate", + font=[gr.themes.GoogleFont("Inter"), "Arial", "sans-serif"], +) + + +# ---------- Model ---------- + + +class VoxCPMDemo: + def __init__(self, model_id: str = "openbmb/VoxCPM2", device: str = "auto") -> None: + self.device = resolve_runtime_device(device, "cuda") + logger.info(f"Running VoxCPM on device: {self.device}") + self.optimize = self.device.startswith("cuda") + + self.asr_model_id = "iic/SenseVoiceSmall" + self.asr_device = "cuda:0" if self.device.startswith("cuda") else "cpu" + self.asr_model: Optional[AutoModel] = None + + self.voxcpm_model: Optional[voxcpm.VoxCPM] = None + self._model_id = model_id + + def get_or_load_voxcpm(self) -> voxcpm.VoxCPM: + if self.voxcpm_model is not None: + return self.voxcpm_model + logger.info(f"Loading model: {self._model_id}") + self.voxcpm_model = voxcpm.VoxCPM.from_pretrained( + self._model_id, + optimize=self.optimize, + device=self.device, + ) + logger.info("Model loaded successfully.") + return self.voxcpm_model + + def get_or_load_asr_model(self) -> AutoModel: + if self.asr_model is not None: + return self.asr_model + logger.info(f"Loading ASR model: {self.asr_model_id} on device: {self.asr_device}") + self.asr_model = AutoModel( + model=self.asr_model_id, + disable_update=True, + log_level="DEBUG", + device=self.asr_device, + ) + logger.info("ASR model loaded successfully.") + return self.asr_model + + def prompt_wav_recognition(self, prompt_wav: Optional[str]) -> str: + if prompt_wav is None: + return "" + res = self.get_or_load_asr_model().generate( + input=prompt_wav, + language="auto", + use_itn=True, + ) + return res[0]["text"].split("|>")[-1] + + def _build_generate_kwargs( + self, + *, + final_text: str, + audio_path: Optional[str], + prompt_text_clean: Optional[str], + cfg_value_input: float, + do_normalize: bool, + denoise: bool, + inference_timesteps: int = 10, + seed: Optional[int] = None, + ) -> dict: + generate_kwargs = dict( + text=final_text, + reference_wav_path=audio_path, + cfg_value=float(cfg_value_input), + inference_timesteps=inference_timesteps, + normalize=do_normalize, + denoise=denoise, + seed=seed, + ) + if prompt_text_clean and audio_path: + generate_kwargs["prompt_wav_path"] = audio_path + generate_kwargs["prompt_text"] = prompt_text_clean + return generate_kwargs + + def generate_tts_audio( + self, + text_input: str, + control_instruction: str = "", + reference_wav_path_input: Optional[str] = None, + prompt_text: str = "", + cfg_value_input: float = 2.0, + do_normalize: bool = True, + denoise: bool = True, + inference_timesteps: int = 10, + seed: Optional[int] = None, + ) -> Tuple[int, np.ndarray, Optional[int]]: + current_model = self.get_or_load_voxcpm() + + text = (text_input or "").strip() + if len(text) == 0: + raise ValueError("Please input text to synthesize.") + + control = (control_instruction or "").strip() + # Strip any parentheses (half-width/full-width) from control text to avoid + # breaking the "(control)text" prompt format expected by the model. + control = re.sub(r"[()๏ผˆ๏ผ‰]", "", control).strip() + final_text = f"({control}){text}" if control else text + + audio_path = reference_wav_path_input if reference_wav_path_input else None + prompt_text_clean = (prompt_text or "").strip() or None + + if audio_path and prompt_text_clean: + logger.info(f"[Voice Cloning] prompt_wav + prompt_text + reference_wav") + elif audio_path: + logger.info(f"[Voice Control] reference_wav only") + else: + logger.info(f"[Voice Design] control: {control[:50] if control else 'None'}...") + + logger.info(f"Generating audio for text: '{final_text[:80]}...'") + generate_kwargs = self._build_generate_kwargs( + final_text=final_text, + audio_path=audio_path, + prompt_text_clean=prompt_text_clean, + cfg_value_input=cfg_value_input, + do_normalize=do_normalize, + denoise=denoise, + inference_timesteps=inference_timesteps, + seed=seed, + ) + wav = current_model.generate(**generate_kwargs) + last_successful_seed = getattr(current_model.tts_model, "last_successful_seed", seed) + return (current_model.tts_model.sample_rate, wav, last_successful_seed) + + +# ---------- UI ---------- + + +def create_demo_interface(demo: VoxCPMDemo): + gr.set_static_paths(paths=[Path.cwd().absolute() / "assets"]) + + def _coerce_seed(seed_value) -> Optional[int]: + if seed_value is None or seed_value == "": + return None + return int(seed_value) + + def _prepare_seed(use_random_seed: bool, seed_value): + if use_random_seed: + return random.randint(0, 2**32 - 1) + return _coerce_seed(seed_value) + + def _on_random_seed_toggle(checked): + return gr.update(interactive=not checked) + + def _generate( + text: str, + control_instruction: str, + ref_wav: Optional[str], + use_prompt_text: bool, + prompt_text_value: str, + cfg_value: float, + do_normalize: bool, + denoise: bool, + dit_steps: int, + seed_value, + ): + actual_prompt_text = prompt_text_value.strip() if use_prompt_text else "" + actual_control = "" if use_prompt_text else control_instruction + seed = _coerce_seed(seed_value) + sr, wav_np, last_successful_seed = demo.generate_tts_audio( + text_input=text, + control_instruction=actual_control, + reference_wav_path_input=ref_wav, + prompt_text=actual_prompt_text, + cfg_value_input=cfg_value, + do_normalize=do_normalize, + denoise=denoise, + inference_timesteps=int(dit_steps), + seed=seed, + ) + return (sr, wav_np), last_successful_seed + + def _on_toggle_instant(checked): + """Instant UI toggle โ€” no ASR, no blocking.""" + if checked: + return ( + gr.update(visible=True, value="", placeholder="Recognizing reference audio..."), + gr.update(visible=False), + ) + return ( + gr.update(visible=False), + gr.update(visible=True, interactive=True), + ) + + def _run_asr_if_needed(checked, audio_path): + """Run ASR after the UI has updated. Only when toggled ON.""" + if not checked or not audio_path: + return gr.update() + try: + logger.info("Running ASR on reference audio...") + asr_text = demo.prompt_wav_recognition(audio_path) + logger.info(f"ASR result: {asr_text[:60]}...") + return gr.update(value=asr_text) + except Exception as e: + logger.warning(f"ASR recognition failed: {e}") + return gr.update(value="") + + with gr.Blocks() as interface: + gr.HTML( + '
' + 'VoxCPM Logo' + "
" + ) + + gr.Markdown(I18N("usage_instructions")) + + with gr.Row(): + with gr.Column(): + reference_wav = gr.Audio( + sources=["upload", "microphone"], + type="filepath", + label=I18N("reference_audio_label"), + ) + show_prompt_text = gr.Checkbox( + value=False, + label=I18N("show_prompt_text_label"), + info=I18N("show_prompt_text_info"), + elem_classes=["switch-toggle"], + ) + prompt_text = gr.Textbox( + value="", + label=I18N("prompt_text_label"), + placeholder=I18N("prompt_text_placeholder"), + lines=2, + visible=False, + ) + control_instruction = gr.Textbox( + value="", + label=I18N("control_label"), + placeholder=I18N("control_placeholder"), + lines=2, + ) + text = gr.Textbox( + value=DEFAULT_TARGET_TEXT, + label=I18N("target_text_label"), + lines=3, + ) + + with gr.Accordion(I18N("advanced_settings_title"), open=False): + DoDenoisePromptAudio = gr.Checkbox( + value=False, + label=I18N("ref_denoise_label"), + elem_classes=["switch-toggle"], + info=I18N("ref_denoise_info"), + ) + DoNormalizeText = gr.Checkbox( + value=False, + label=I18N("normalize_label"), + elem_classes=["switch-toggle"], + info=I18N("normalize_info"), + ) + cfg_value = gr.Slider( + minimum=1.0, + maximum=3.0, + value=2.0, + step=0.1, + label=I18N("cfg_label"), + info=I18N("cfg_info"), + ) + dit_steps = gr.Slider( + minimum=1, + maximum=50, + value=10, + step=1, + label=I18N("dit_steps_label"), + info=I18N("dit_steps_info"), + ) + with gr.Row(): + seed_value = gr.Number( + value=random.randint(0, 2**32 - 1), + precision=0, + label=I18N("seed_label"), + info=I18N("seed_info"), + interactive=False, + ) + random_seed = gr.Checkbox( + value=True, + label=I18N("random_seed_label"), + elem_classes=["switch-toggle"], + info=I18N("random_seed_info"), + ) + + run_btn = gr.Button(I18N("generate_btn"), variant="primary", size="lg") + + with gr.Column(): + audio_output = gr.Audio(label=I18N("generated_audio_label")) + gr.Markdown(I18N("examples_footer")) + + show_prompt_text.change( + fn=_on_toggle_instant, + inputs=[show_prompt_text], + outputs=[prompt_text, control_instruction], + ).then( + fn=_run_asr_if_needed, + inputs=[show_prompt_text, reference_wav], + outputs=[prompt_text], + ) + + random_seed.change( + fn=_on_random_seed_toggle, + inputs=[random_seed], + outputs=[seed_value], + ) + + run_btn.click( + fn=_prepare_seed, + inputs=[random_seed, seed_value], + outputs=[seed_value], + show_progress=False, + ).then( + fn=_generate, + inputs=[ + text, + control_instruction, + reference_wav, + show_prompt_text, + prompt_text, + cfg_value, + DoNormalizeText, + DoDenoisePromptAudio, + dit_steps, + seed_value, + ], + outputs=[audio_output, seed_value], + show_progress=True, + api_name="generate", + ) + + return interface + + +def run_demo( + server_name: str = "0.0.0.0", + server_port: int = 8808, + show_error: bool = True, + model_id: str = "openbmb/VoxCPM2", + device: str = "auto", +): + demo = VoxCPMDemo(model_id=model_id, device=device) + interface = create_demo_interface(demo) + interface.queue(max_size=10, default_concurrency_limit=1).launch( + server_name=server_name, + server_port=server_port, + show_error=show_error, + i18n=I18N, + theme=_APP_THEME, + css=_CUSTOM_CSS, + ) + + +if __name__ == "__main__": + import argparse + + parser = argparse.ArgumentParser() + parser.add_argument( + "--model-id", + type=str, + default="openbmb/VoxCPM2", + help="Local path or HuggingFace repo ID (default: openbmb/VoxCPM2)", + ) + parser.add_argument("--port", type=int, default=8808, help="Server port") + parser.add_argument( + "--host", + type=str, + default="0.0.0.0", + help="Bind address. Use 127.0.0.1 to restrict access to the local machine; " + "the default 0.0.0.0 exposes the unauthenticated UI/API to the network (default: 0.0.0.0)", + ) + parser.add_argument( + "--device", + type=str, + default="auto", + help="Runtime device: auto, cpu, mps, cuda, or cuda:N (default: auto)", + ) + args = parser.parse_args() + run_demo( + model_id=args.model_id, + server_name=args.host, + server_port=args.port, + device=args.device, + ) diff --git a/app_old.py b/app_old.py new file mode 100644 index 0000000..c6ddbeb --- /dev/null +++ b/app_old.py @@ -0,0 +1,292 @@ +import os +import sys +import numpy as np +import torch +import gradio as gr +from typing import Optional, Tuple +from funasr import AutoModel +from pathlib import Path + +os.environ["TOKENIZERS_PARALLELISM"] = "false" +if os.environ.get("HF_REPO_ID", "").strip() == "": + os.environ["HF_REPO_ID"] = "openbmb/VoxCPM1.5" + +import voxcpm + + +class VoxCPMDemo: + def __init__(self) -> None: + self.device = "cuda" if torch.cuda.is_available() else "cpu" + print(f"๐Ÿš€ Running on device: {self.device}", file=sys.stderr) + + # ASR model for prompt text recognition + self.asr_model_id = "iic/SenseVoiceSmall" + self.asr_model: Optional[AutoModel] = AutoModel( + model=self.asr_model_id, + disable_update=True, + log_level="DEBUG", + device="cuda:0" if self.device == "cuda" else "cpu", + ) + + # TTS model (lazy init) + self.voxcpm_model: Optional[voxcpm.VoxCPM] = None + self.default_local_model_dir = "./models/VoxCPM1.5" + + # ---------- Model helpers ---------- + def _resolve_model_dir(self) -> str: + """ + Resolve model directory: + 1) Use local checkpoint directory if exists + 2) If HF_REPO_ID env is set, download into models/{repo} + 3) Fallback to 'models' + """ + if os.path.isdir(self.default_local_model_dir): + return self.default_local_model_dir + + repo_id = os.environ.get("HF_REPO_ID", "").strip() + if len(repo_id) > 0: + target_dir = os.path.join("models", repo_id.replace("/", "__")) + if not os.path.isdir(target_dir): + try: + from huggingface_hub import snapshot_download # type: ignore + + os.makedirs(target_dir, exist_ok=True) + print(f"Downloading model from HF repo '{repo_id}' to '{target_dir}' ...", file=sys.stderr) + snapshot_download(repo_id=repo_id, local_dir=target_dir, local_dir_use_symlinks=False) + except Exception as e: + print(f"Warning: HF download failed: {e}. Falling back to 'data'.", file=sys.stderr) + return "models" + return target_dir + return "models" + + def get_or_load_voxcpm(self) -> voxcpm.VoxCPM: + if self.voxcpm_model is not None: + return self.voxcpm_model + print("Model not loaded, initializing...", file=sys.stderr) + model_dir = self._resolve_model_dir() + print(f"Using model dir: {model_dir}", file=sys.stderr) + self.voxcpm_model = voxcpm.VoxCPM(voxcpm_model_path=model_dir) + print("Model loaded successfully.", file=sys.stderr) + return self.voxcpm_model + + # ---------- Functional endpoints ---------- + def prompt_wav_recognition(self, prompt_wav: Optional[str]) -> str: + if prompt_wav is None: + return "" + res = self.asr_model.generate(input=prompt_wav, language="auto", use_itn=True) + text = res[0]["text"].split("|>")[-1] + return text + + def generate_tts_audio( + self, + text_input: str, + prompt_wav_path_input: Optional[str] = None, + prompt_text_input: Optional[str] = None, + cfg_value_input: float = 2.0, + inference_timesteps_input: int = 10, + do_normalize: bool = True, + denoise: bool = True, + ) -> Tuple[int, np.ndarray]: + """ + Generate speech from text using VoxCPM; optional reference audio for voice style guidance. + Returns (sample_rate, waveform_numpy) + """ + current_model = self.get_or_load_voxcpm() + + text = (text_input or "").strip() + if len(text) == 0: + raise ValueError("Please input text to synthesize.") + + prompt_wav_path = prompt_wav_path_input if prompt_wav_path_input else None + prompt_text = prompt_text_input if prompt_text_input else None + + print(f"Generating audio for text: '{text[:60]}...'", file=sys.stderr) + wav = current_model.generate( + text=text, + prompt_text=prompt_text, + prompt_wav_path=prompt_wav_path, + cfg_value=float(cfg_value_input), + inference_timesteps=int(inference_timesteps_input), + normalize=do_normalize, + denoise=denoise, + ) + return (current_model.tts_model.sample_rate, wav) + + +# ---------- UI Builders ---------- + +_APP_THEME = gr.themes.Soft( + primary_hue="blue", + secondary_hue="gray", + neutral_hue="slate", + font=[gr.themes.GoogleFont("Inter"), "Arial", "sans-serif"], +) + +_CUSTOM_CSS = """ +.logo-container { + text-align: center; + margin: 0.5rem 0 1rem 0; +} +.logo-container img { + height: 80px; + width: auto; + max-width: 200px; + display: inline-block; +} +/* Bold accordion labels */ +#acc_quick details > summary, +#acc_tips details > summary { + font-weight: 600 !important; + font-size: 1.1em !important; +} +/* Bold labels for specific checkboxes */ +#chk_denoise label, +#chk_denoise span, +#chk_normalize label, +#chk_normalize span { + font-weight: 600; +} +""" + + +def create_demo_interface(demo: VoxCPMDemo): + """Build the Gradio UI for VoxCPM demo.""" + gr.set_static_paths(paths=[Path.cwd().absolute() / "assets"]) + + with gr.Blocks() as interface: + # Header logo + gr.HTML( + '
VoxCPM Logo
' + ) + + # Quick Start + with gr.Accordion("๐Ÿ“‹ Quick Start Guide ๏ฝœๅฟซ้€Ÿๅ…ฅ้—จ", open=False, elem_id="acc_quick"): + gr.Markdown(""" + ### How to Use ๏ฝœไฝฟ็”จ่ฏดๆ˜Ž + 1. **(Optional) Provide a Voice Prompt** - Upload or record an audio clip to provide the desired voice characteristics for synthesis. + **๏ผˆๅฏ้€‰๏ผ‰ๆไพ›ๅ‚่€ƒๅฃฐ้Ÿณ** - ไธŠไผ ๆˆ–ๅฝ•ๅˆถไธ€ๆฎต้Ÿณ้ข‘๏ผŒไธบๅฃฐ้Ÿณๅˆๆˆๆไพ›้Ÿณ่‰ฒใ€่ฏญ่ฐƒๅ’Œๆƒ…ๆ„Ÿ็ญ‰ไธชๆ€งๅŒ–็‰นๅพ + 2. **(Optional) Enter prompt text** - If you provided a voice prompt, enter the corresponding transcript here (auto-recognition available). + **๏ผˆๅฏ้€‰้กน๏ผ‰่พ“ๅ…ฅๅ‚่€ƒๆ–‡ๆœฌ** - ๅฆ‚ๆžœๆไพ›ไบ†ๅ‚่€ƒ่ฏญ้Ÿณ๏ผŒ่ฏท่พ“ๅ…ฅๅ…ถๅฏนๅบ”็š„ๆ–‡ๆœฌๅ†…ๅฎน๏ผˆๆ”ฏๆŒ่‡ชๅŠจ่ฏ†ๅˆซ๏ผ‰ใ€‚ + 3. **Enter target text** - Type the text you want the model to speak. + **่พ“ๅ…ฅ็›ฎๆ ‡ๆ–‡ๆœฌ** - ่พ“ๅ…ฅๆ‚จๅธŒๆœ›ๆจกๅž‹ๆœ—่ฏป็š„ๆ–‡ๅญ—ๅ†…ๅฎนใ€‚ + 4. **Generate Speech** - Click the "Generate" button to create your audio. + **็”Ÿๆˆ่ฏญ้Ÿณ** - ็‚นๅ‡ป"็”Ÿๆˆ"ๆŒ‰้’ฎ๏ผŒๅณๅฏไธบๆ‚จๅˆ›้€ ๅ‡บ้Ÿณ้ข‘ใ€‚ + """) + + # Pro Tips + with gr.Accordion("๐Ÿ’ก Pro Tips ๏ฝœไฝฟ็”จๅปบ่ฎฎ", open=False, elem_id="acc_tips"): + gr.Markdown(""" + ### Prompt Speech Enhancement๏ฝœๅ‚่€ƒ่ฏญ้Ÿณ้™ๅ™ช + - **Enable** to remove background noise for a clean voice, with an external ZipEnhancer component. However, this will limit the audio sampling rate to 16kHz, restricting the cloning quality ceiling. + **ๅฏ็”จ**๏ผš้€š่ฟ‡ ZipEnhancer ็ป„ไปถๆถˆ้™ค่ƒŒๆ™ฏๅ™ช้Ÿณ๏ผŒไฝ†ไผšๅฐ†้Ÿณ้ข‘้‡‡ๆ ท็Ž‡้™ๅˆถๅœจ16kHz๏ผŒ้™ๅˆถๅ…‹้š†ไธŠ้™ใ€‚ + - **Disable** to preserve the original audio's all information, including background atmosphere, and support audio cloning up to 44.1kHz sampling rate. + **็ฆ็”จ**๏ผšไฟ็•™ๅŽŸๅง‹้Ÿณ้ข‘็š„ๅ…จ้ƒจไฟกๆฏ๏ผŒๅŒ…ๆ‹ฌ่ƒŒๆ™ฏ็Žฏๅขƒๅฃฐ๏ผŒๆœ€้ซ˜ๆ”ฏๆŒ44.1kHz็š„้Ÿณ้ข‘ๅคๅˆปใ€‚ + + ### Text Normalization๏ฝœๆ–‡ๆœฌๆญฃๅˆ™ๅŒ– + - **Enable** to process general text with an external WeTextProcessing component. + **ๅฏ็”จ**๏ผšไฝฟ็”จ WeTextProcessing ็ป„ไปถ๏ผŒๅฏๆ”ฏๆŒๅธธ่งๆ–‡ๆœฌ็š„ๆญฃๅˆ™ๅŒ–ๅค„็†ใ€‚ + - **Disable** to use VoxCPM's native text understanding ability. For example, it supports phonemes input (For Chinese, phonemes are converted using pinyin, {ni3}{hao3}; For English, phonemes are converted using CMUDict, {HH AH0 L OW1}), try it! + **็ฆ็”จ**๏ผšๅฐ†ไฝฟ็”จ VoxCPM ๅ†…็ฝฎ็š„ๆ–‡ๆœฌ็†่งฃ่ƒฝๅŠ›ใ€‚ๅฆ‚๏ผŒๆ”ฏๆŒ้Ÿณ็ด ่พ“ๅ…ฅ๏ผˆๅฆ‚ไธญๆ–‡่ฝฌๆ‹ผ้Ÿณ๏ผš{ni3}{hao3}๏ผ›่‹ฑๆ–‡่ฝฌCMUDict๏ผš{HH AH0 L OW1}๏ผ‰ๅ’Œๅ…ฌๅผ็ฌฆๅทๅˆๆˆ๏ผŒๅฐ่ฏ•ไธ€ไธ‹๏ผ + + ### CFG Value๏ฝœCFG ๅ€ผ + - **Lower CFG** if the voice prompt sounds strained or expressive, or instability occurs with long text input. + **่ฐƒไฝŽ**๏ผšๅฆ‚ๆžœๆ็คบ่ฏญ้Ÿณๅฌ่ตทๆฅไธ่‡ช็„ถๆˆ–่ฟ‡ไบŽๅคธๅผ ๏ผŒๆˆ–่€…้•ฟๆ–‡ๆœฌ่พ“ๅ…ฅๅ‡บ็Žฐ็จณๅฎšๆ€ง้—ฎ้ข˜ใ€‚ + - **Higher CFG** for better adherence to the prompt speech style or input text, or instability occurs with too short text input. + **่ฐƒ้ซ˜**๏ผšไธบๆ›ดๅฅฝๅœฐ่ดดๅˆๆ็คบ้Ÿณ้ข‘็š„้ฃŽๆ ผๆˆ–่พ“ๅ…ฅๆ–‡ๆœฌ๏ผŒ ๆˆ–่€…ๆž็Ÿญๆ–‡ๆœฌ่พ“ๅ…ฅๅ‡บ็Žฐ็จณๅฎšๆ€ง้—ฎ้ข˜ใ€‚ + + ### Inference Timesteps๏ฝœๆŽจ็†ๆ—ถ้—ดๆญฅ + - **Lower** for faster synthesis speed. + **่ฐƒไฝŽ**๏ผšๅˆๆˆ้€Ÿๅบฆๆ›ดๅฟซใ€‚ + - **Higher** for better synthesis quality. + **่ฐƒ้ซ˜**๏ผšๅˆๆˆ่ดจ้‡ๆ›ดไฝณใ€‚ + """) + + # Main controls + with gr.Row(): + with gr.Column(): + prompt_wav = gr.Audio( + sources=["upload", "microphone"], + type="filepath", + label="Prompt Speech (Optional, or let VoxCPM improvise)", + value="./examples/example.wav", + ) + DoDenoisePromptAudio = gr.Checkbox( + value=False, + label="Prompt Speech Enhancement", + elem_id="chk_denoise", + info="We use ZipEnhancer model to denoise the prompt audio.", + ) + with gr.Row(): + prompt_text = gr.Textbox( + value="Just by listening a few minutes a day, you'll be able to eliminate negative thoughts by conditioning your mind to be more positive.", + label="Prompt Text", + placeholder="Please enter the prompt text. Automatic recognition is supported, and you can correct the results yourself...", + ) + run_btn = gr.Button("Generate Speech", variant="primary") + + with gr.Column(): + cfg_value = gr.Slider( + minimum=1.0, + maximum=3.0, + value=2.0, + step=0.1, + label="CFG Value (Guidance Scale)", + info="Higher values increase adherence to prompt, lower values allow more creativity", + ) + inference_timesteps = gr.Slider( + minimum=4, + maximum=30, + value=10, + step=1, + label="Inference Timesteps", + info="Number of inference timesteps for generation (higher values may improve quality but slower)", + ) + with gr.Row(): + text = gr.Textbox( + value="VoxCPM is an innovative end-to-end TTS model from ModelBest, designed to generate highly realistic speech.", + label="Target Text", + ) + with gr.Row(): + DoNormalizeText = gr.Checkbox( + value=False, + label="Text Normalization", + elem_id="chk_normalize", + info="We use wetext library to normalize the input text.", + ) + audio_output = gr.Audio(label="Output Audio") + + # Wiring + run_btn.click( + fn=demo.generate_tts_audio, + inputs=[ + text, + prompt_wav, + prompt_text, + cfg_value, + inference_timesteps, + DoNormalizeText, + DoDenoisePromptAudio, + ], + outputs=[audio_output], + show_progress=True, + api_name="generate", + ) + prompt_wav.change(fn=demo.prompt_wav_recognition, inputs=[prompt_wav], outputs=[prompt_text]) + + return interface + + +def run_demo(server_name: str = "localhost", server_port: int = 7860, show_error: bool = True): + demo = VoxCPMDemo() + interface = create_demo_interface(demo) + interface.queue(max_size=10, default_concurrency_limit=1).launch( + server_name=server_name, + server_port=server_port, + show_error=show_error, + theme=_APP_THEME, + css=_CUSTOM_CSS, + ) + + +if __name__ == "__main__": + run_demo() diff --git a/assets/discord-logo.png b/assets/discord-logo.png new file mode 100644 index 0000000000000000000000000000000000000000..b7c15e40a5031e400002c04f14c3a4726eb42474 GIT binary 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