72 lines
2.0 KiB
Markdown
72 lines
2.0 KiB
Markdown
---
|
|
name: 📊 Migration Benchmark Report
|
|
about: Share FunASR results when comparing against Whisper, OpenAI audio APIs, or cloud ASR
|
|
labels: 'benchmark, showcase, needs triage'
|
|
---
|
|
|
|
Thanks for benchmarking FunASR on your own audio. Migration reports help new users decide whether FunASR fits their language, domain, hardware, and deployment constraints.
|
|
|
|
If you need help debugging a failure, please use Bug Report or Deployment Help instead.
|
|
|
|
## Summary
|
|
|
|
<!-- One or two sentences: what did you compare, and what was the headline result? -->
|
|
|
|
## Baseline
|
|
|
|
- Baseline ASR (`Whisper`, `Whisper large-v3`, cloud provider, internal system, other):
|
|
- Baseline runtime or API:
|
|
- Baseline hardware or pricing tier:
|
|
|
|
## FunASR setup
|
|
|
|
- FunASR version:
|
|
- Model(s):
|
|
- Runtime path (`Python API`, `funasr-server`, `OpenAI API`, `Docker`, `WebSocket`, `vLLM`, other):
|
|
- Device (`cuda`, `cpu`, `mps`):
|
|
- GPU / CPU:
|
|
- CUDA / PyTorch versions:
|
|
- Command or script used:
|
|
|
|
```bash
|
|
|
|
```
|
|
|
|
## Audio set
|
|
|
|
- Number of files:
|
|
- Total audio duration:
|
|
- Language(s) / dialect(s):
|
|
- Domain (`meeting`, `call-center`, `subtitle`, `lecture`, `media`, `noisy field audio`, other):
|
|
- Speaker count range:
|
|
- Sample rate / format:
|
|
- Can any sample be shared publicly? yes/no
|
|
|
|
## Results
|
|
|
|
<!-- Paste the aggregate section from examples/migration/benchmark_funasr.py summary.md, or summarize your own measurement. -->
|
|
|
|
```text
|
|
|
|
```
|
|
|
|
## Quality notes
|
|
|
|
<!-- Share WER/CER if available, or human-review notes about names, numbers, punctuation, timestamps, speaker labels, and domain terms. -->
|
|
|
|
## Operational notes
|
|
|
|
- Model download / warmup time:
|
|
- Steady-state throughput:
|
|
- Memory usage:
|
|
- Failed files or error rate:
|
|
- Deployment blockers:
|
|
|
|
## Links or artifacts
|
|
|
|
<!-- Public repo, demo, blog, benchmark sheet, screenshot, anonymized transcript snippet, or architecture diagram. Do not include private audio, credentials, or customer data. -->
|
|
|
|
## What should FunASR improve next?
|
|
|
|
<!-- Missing docs, rough edges, model gaps, deployment friction, benchmark needs, etc. -->
|