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docs(README): make Why-FunASR section honest and Nano-first

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The old comparison column cherry-picked the best cell from different models
(170x / emotion / 17x-CPU are SenseVoice; vLLM is Fun-ASR-Nano; streaming is
Paraformer), implying one model does all of it. Reframe as a toolkit comparison:
lead with the flagship Fun-ASR-Nano, label each capability with the model that
provides it, and use the flagship 340x realtime for top speed.
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LauraGPT
2026-06-24 20:20:57 +08:00
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README.md
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@@ -89,17 +89,18 @@ results = model.generate(["audio1.wav", "audio2.wav"], language="auto")
### Why FunASR?
| | FunASR | Whisper | Cloud APIs |
Whisper is a single model; **FunASR is a toolkit** — you pick the right model per job: **Fun-ASR-Nano** (flagship LLM-ASR, GPU, 340x realtime with vLLM, 31 languages), **SenseVoice** (CPU-friendly, + emotion & audio events), **Paraformer** (low-latency streaming). The table shows what the toolkit delivers vs one Whisper model — each capability is labelled with the model that provides it:
| | FunASR (toolkit) | Whisper | Cloud APIs |
|---|---|---|---|
| Speed | **170x realtime** | 13x realtime | ~1x realtime |
| Top speed | **340x realtime** (Fun-ASR-Nano + vLLM) | 13x realtime | ~1x realtime |
| Speaker ID | ✅ Built-in | ❌ Needs pyannote | ✅ Extra cost |
| Emotion | ✅ Happy/Sad/Angry | ❌ | ❌ |
| Languages | 50+ | 57 | Varies |
| Streaming | ✅ WebSocket | ❌ | ✅ |
| vLLM Acceleration | ✅ up to 16x faster | ❌ | N/A |
| Emotion | ✅ via SenseVoice | ❌ | ❌ |
| Languages | 50+ (Qwen3-ASR 52, Nano 31) | 57 | Varies |
| Streaming | ✅ WebSocket (Paraformer) | ❌ | ✅ |
| CPU viable | ✅ 17x realtime (SenseVoice) | ❌ Too slow | N/A |
| Self-hosted | ✅ MIT license | ✅ MIT license | ❌ Cloud only |
| Cost | Free | Free | $0.006/min+ |
| CPU viable | ✅ 17x realtime | ❌ Too slow | N/A |
Trying FunASR for the first time? Use the [Colab quickstart](./examples/colab/) before setting up a local environment. Choosing a first model? Start with the [model selection guide](./docs/model_selection.md). Planning a switch from Whisper or a cloud ASR provider? Use the [migration guide](./docs/migration_from_whisper.md) and [benchmark example](./examples/migration/) to test representative audio, map features, and roll out safely.