chore: import upstream snapshot with attribution
This commit is contained in:
wehub-resource-sync
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---
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name: ❓ Questions/Help
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about: Ask for help after checking existing issues and docs
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labels: 'question, needs triage'
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---
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Notice: In order to resolve issues efficiently, please follow the template.
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（注意：为了更加高效率解决您遇到的问题，请按照模板提问，补充细节。）
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## Before asking
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1. Search existing issues: https://github.com/modelscope/FunASR/issues
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2. Search the docs: https://modelscope.github.io/FunASR/
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3. Check the README quick start and deployment section.
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## Question
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<!-- What are you trying to do, and where are you blocked? -->
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## Code or command
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```bash
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```
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## What have you tried?
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<!-- Include links to docs or examples you followed, plus the exact error/result. -->
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## Environment
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- OS:
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- Python version:
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- FunASR version:
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- ModelScope version:
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- PyTorch / torchaudio version:
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- Install method (`pip`, source, Docker):
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- Device (`cuda`, `cpu`, `mps`):
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- GPU model:
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- CUDA/cuDNN version:
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- Docker image tag, if used:
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---
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name: 🐛 Bug Report
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about: Submit a reproducible bug report to help us improve FunASR
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labels: 'bug, needs triage'
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---
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Notice: In order to resolve issues efficiently, please follow the template and include reproducible details.
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（注意：为了更加高效率解决您遇到的问题，请按照模板提问，补充可复现细节。）
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## 🐛 Bug
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<!-- A clear and concise description of the bug. -->
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## To Reproduce
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Steps to reproduce the behavior. Always include the exact command you ran.
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1. Install with: `...`
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2. Run: `...`
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3. See error: `...`
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## Code sample
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<!-- Paste the smallest code sample that still reproduces the issue. -->
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```python
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```
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## Expected behavior
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<!-- A clear and concise description of what you expected to happen. -->
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## Error logs
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<!-- Paste the full traceback or relevant logs. Remove private tokens and paths. -->
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```text
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```
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## Environment
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- OS:
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- Python version:
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- FunASR version:
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- ModelScope version:
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- PyTorch / torchaudio version:
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- Install method (`pip`, source, Docker):
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- Device (`cuda`, `cpu`, `mps`):
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- GPU model:
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- CUDA/cuDNN version:
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- Docker image tag, if used:
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## Audio details
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If the audio cannot be shared, please describe:
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- Duration:
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- Sample rate:
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- Format:
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- Language/dialect:
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- Speaker count:
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- Background noise/music:
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blank_issues_enabled: false
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contact_links:
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- name: FunASR documentation
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url: https://modelscope.github.io/FunASR/
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about: Read installation, tutorial, deployment, benchmark, and API docs.
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- name: GitHub Discussions
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url: https://github.com/modelscope/FunASR/discussions
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about: Share ideas, showcase usage, and ask open-ended community questions.
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- name: Hugging Face models
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url: https://huggingface.co/funasr
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about: Browse FunASR checkpoints on Hugging Face.
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---
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name: 🚀 Deployment Help
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about: Get help with API server, WebSocket, Docker, vLLM, Triton, Android, or agent integration
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labels: 'deployment, needs triage'
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---
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## Deployment target
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- [ ] OpenAI-compatible API server
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- [ ] WebSocket streaming service
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- [ ] Docker runtime
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- [ ] vLLM acceleration
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- [ ] Triton
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- [ ] Android / mobile
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- [ ] Browser / Web UI
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- [ ] MCP / agent integration
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- [ ] Other:
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## Goal
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<!-- What user-facing service or workflow are you trying to deploy? -->
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## Command or config
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```bash
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```
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## Error or unexpected behavior
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```text
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```
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## Environment
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- OS:
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- Python version:
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- FunASR version:
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- Install method (`pip`, source, Docker):
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- Device (`cuda`, `cpu`, `mps`):
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- GPU model and memory:
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- CUDA/cuDNN version:
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- Docker image tag, if used:
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- Network endpoint / port:
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---
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name: 📚 Documentation/Typos
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about: Report an issue related to documentation or a typo
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labels: 'documentation, needs triage'
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---
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## 📚 Documentation
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For typos and doc fixes, please go ahead and:
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1. Create an issue.
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2. Fix the typo.
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3. Submit a PR.
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Thanks!
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---
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name: ✨ Feature Request
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about: Suggest a model, language, runtime, deployment, benchmark, or documentation improvement
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labels: 'enhancement, needs triage'
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---
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## Use case
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<!-- What are you trying to build, deploy, evaluate, or research with FunASR? -->
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## Proposed solution
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<!-- Describe the desired model/API/runtime/doc/benchmark behavior. -->
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## Alternatives or workarounds
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<!-- What workaround are you using today? What other tools did you consider? -->
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## Expected impact
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<!-- Who benefits: new users, production deployers, researchers, agent builders, educators, etc.? -->
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## Willing to contribute?
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- [ ] I can submit a PR
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- [ ] I can help test
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- [ ] I can provide data, logs, or benchmark results
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---
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name: 📊 Migration Benchmark Report
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about: Share FunASR results when comparing against Whisper, OpenAI audio APIs, or cloud ASR
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labels: 'benchmark, showcase, needs triage'
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---
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Thanks for benchmarking FunASR on your own audio. Migration reports help new users decide whether FunASR fits their language, domain, hardware, and deployment constraints.
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If you need help debugging a failure, please use Bug Report or Deployment Help instead.
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## Summary
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<!-- One or two sentences: what did you compare, and what was the headline result? -->
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## Baseline
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- Baseline ASR (`Whisper`, `Whisper large-v3`, cloud provider, internal system, other):
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- Baseline runtime or API:
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- Baseline hardware or pricing tier:
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## FunASR setup
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- FunASR version:
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- Model(s):
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- Runtime path (`Python API`, `funasr-server`, `OpenAI API`, `Docker`, `WebSocket`, `vLLM`, other):
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- Device (`cuda`, `cpu`, `mps`):
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- GPU / CPU:
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- CUDA / PyTorch versions:
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- Command or script used:
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```bash
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```
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## Audio set
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- Number of files:
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- Total audio duration:
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- Language(s) / dialect(s):
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- Domain (`meeting`, `call-center`, `subtitle`, `lecture`, `media`, `noisy field audio`, other):
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- Speaker count range:
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- Sample rate / format:
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- Can any sample be shared publicly? yes/no
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## Results
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<!-- Paste the aggregate section from examples/migration/benchmark_funasr.py summary.md, or summarize your own measurement. -->
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```text
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```
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## Quality notes
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<!-- Share WER/CER if available, or human-review notes about names, numbers, punctuation, timestamps, speaker labels, and domain terms. -->
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## Operational notes
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- Model download / warmup time:
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- Steady-state throughput:
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- Memory usage:
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- Failed files or error rate:
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- Deployment blockers:
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## Links or artifacts
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<!-- Public repo, demo, blog, benchmark sheet, screenshot, anonymized transcript snippet, or architecture diagram. Do not include private audio, credentials, or customer data. -->
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## What should FunASR improve next?
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<!-- Missing docs, rough edges, model gaps, deployment friction, benchmark needs, etc. -->
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@@ -0,0 +1,56 @@
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---
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name: 🎤 Showcase / Production Story
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about: Share how you use FunASR in a demo, product, benchmark, research project, or internal workflow
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labels: 'showcase, needs triage'
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---
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Thanks for sharing your FunASR use case. Concrete usage reports help new users choose the right path and help maintainers prioritize docs, examples, models, and deployment work.
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If this is a support question, please use Bug Report or Deployment Help instead.
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## Summary
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<!-- What did you build or evaluate with FunASR? One or two sentences is enough. -->
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## Scenario
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- [ ] Local transcription demo
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- [ ] Private OpenAI-compatible speech API
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- [ ] Agent / MCP / voice-input workflow
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- [ ] Streaming ASR / live captions
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- [ ] Subtitle generation
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- [ ] Batch transcription / archive processing
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- [ ] Benchmark or migration from Whisper/cloud ASR
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- [ ] Research / education
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- [ ] Production deployment
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- [ ] Other:
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## Deployment details
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- FunASR version:
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- Model(s):
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- Device (`cuda`, `cpu`, `mps`):
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- GPU / CPU:
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- Runtime path (`Python API`, `funasr-server`, `WebSocket`, `Docker`, `vLLM`, `MCP`, other):
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- Audio language/domain:
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- Approximate audio duration or traffic:
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## Results
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<!-- Share speed, accuracy/CER/WER, latency, cost, CPU/GPU usage, or qualitative results if available. -->
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```text
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```
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## Links or screenshots
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<!-- Public demo, article, repo, benchmark report, screenshot, or architecture diagram. Do not include private audio, credentials, or customer data. -->
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## What was easy?
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<!-- Which docs, examples, or APIs helped most? -->
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## What should be improved?
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<!-- Missing docs, rough edges, model gaps, deployment friction, benchmark needs, etc. -->
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