57 lines
1.6 KiB
Markdown
57 lines
1.6 KiB
Markdown
---
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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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