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csukuangfj committed Aug 23, 2024
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Expand Up @@ -83,24 +83,24 @@ installing anything. All you need is a browser.

| Description | URL |
|---|---|
| Speech recognition | https://huggingface.co/spaces/k2-fsa/automatic-speech-recognition|
| Speech recognition with Whisper| https://huggingface.co/spaces/k2-fsa/automatic-speech-recognition-with-whisper|
| Speech synthesis | https://huggingface.co/spaces/k2-fsa/text-to-speech|
| Generate subtitles| https://huggingface.co/spaces/k2-fsa/generate-subtitles-for-videos|
|Audio tagging| https://huggingface.co/spaces/k2-fsa/audio-tagging |
|Spoken language identification with Whisper|https://huggingface.co/spaces/k2-fsa/spoken-language-identification|
| Speech recognition | [Click me](https://huggingface.co/spaces/k2-fsa/automatic-speech-recognition)|
| Speech recognition with [Whisper](https://github.com/openai/whisper)| [Click me](https://huggingface.co/spaces/k2-fsa/automatic-speech-recognition-with-whisper)|
| Speech synthesis | [Click me](https://huggingface.co/spaces/k2-fsa/text-to-speech)|
| Generate subtitles| [Click me](https://huggingface.co/spaces/k2-fsa/generate-subtitles-for-videos)|
|Audio tagging| [Click me](https://huggingface.co/spaces/k2-fsa/audio-tagging)|
|Spoken language identification with [Whisper](https://github.com/openai/whisper)|[Click me](https://huggingface.co/spaces/k2-fsa/spoken-language-identification)|

We also have spaces built using WebAssembly. The are listed below:

| Description | URL|
|---|---|
|Voice activity detection with silero-vad| https://huggingface.co/spaces/k2-fsa/web-assembly-vad-sherpa-onnx|
|Real-time speech recognition (Chinese + English) with Zipformer | https://huggingface.co/spaces/k2-fsa/web-assembly-asr-sherpa-onnx-zh-en|
|Real-time speech recognition (Chinese + English) with Paraformer| https://huggingface.co/spaces/k2-fsa/web-assembly-asr-sherpa-onnx-zh-en-paraformer|
|Real-time speech recognition (Chinese + English + Cantonese) with Paraformer| https://huggingface.co/spaces/k2-fsa/web-assembly-asr-sherpa-onnx-zh-cantonese-en-paraformer|
|Real-time speech recognition (English) | https://huggingface.co/spaces/k2-fsa/web-assembly-asr-sherpa-onnx-en|
|Speech synthesis (English) | https://huggingface.co/spaces/k2-fsa/web-assembly-tts-sherpa-onnx-en |
|Speech synthesis (German)| https://huggingface.co/spaces/k2-fsa/web-assembly-tts-sherpa-onnx-de|
| Description | URL| Chinese users|
|---|---|---|
|Voice activity detection with [silero-vad](https://github.com/snakers4/silero-vad)| [Click me](https://huggingface.co/spaces/k2-fsa/web-assembly-vad-sherpa-onnx)|[地址](https://modelscope.cn/studios/csukuangfj/web-assembly-vad-sherpa-onnx)|
|Real-time speech recognition (Chinese + English) with Zipformer | [Click me](https://huggingface.co/spaces/k2-fsa/web-assembly-asr-sherpa-onnx-zh-en)|[地址](https://modelscope.cn/studios/k2-fsa/web-assembly-asr-sherpa-onnx-zh-en)|
|Real-time speech recognition (Chinese + English) with Paraformer|[Click me](https://huggingface.co/spaces/k2-fsa/web-assembly-asr-sherpa-onnx-zh-en-paraformer)| [地址](https://modelscope.cn/studios/k2-fsa/web-assembly-asr-sherpa-onnx-zh-en-paraformer)|
|Real-time speech recognition (Chinese + English + Cantonese) with Paraformer|[Click me](https://huggingface.co/spaces/k2-fsa/web-assembly-asr-sherpa-onnx-zh-cantonese-en-paraformer)| [地址](https://modelscope.cn/studios/k2-fsa/web-assembly-asr-sherpa-onnx-zh-cantonese-en-paraformer)|
|Real-time speech recognition (English) |[Click me](https://huggingface.co/spaces/k2-fsa/web-assembly-asr-sherpa-onnx-en)|[地址](https://modelscope.cn/studios/k2-fsa/web-assembly-asr-sherpa-onnx-en)|
|Speech synthesis (English) |[Click me](https://huggingface.co/spaces/k2-fsa/web-assembly-tts-sherpa-onnx-en)| [地址](https://modelscope.cn/studios/k2-fsa/web-assembly-tts-sherpa-onnx-en)|
|Speech synthesis (German)|[Click me](https://huggingface.co/spaces/k2-fsa/web-assembly-tts-sherpa-onnx-de)| [地址](https://modelscope.cn/studios/k2-fsa/web-assembly-tts-sherpa-onnx-de)|

### Links for pre-built Android APKs

Expand Down Expand Up @@ -156,7 +156,7 @@ We also have spaces built using WebAssembly. The are listed below:
| Keyword spotting |[Address](https://github.com/k2-fsa/sherpa-onnx/releases/tag/kws-models)|
| Audio tagging | [Address](https://github.com/k2-fsa/sherpa-onnx/releases/tag/audio-tagging-models)|
| Speaker identification (Speaker ID) | [Address](https://github.com/k2-fsa/sherpa-onnx/releases/tag/speaker-recongition-models)|
| Spoken language identification (Language ID) | See multi-lingual Whisper ASR models from [Speech recognition](https://github.com/k2-fsa/sherpa-onnx/releases/tag/asr-models) |
| Spoken language identification (Language ID) | See multi-lingual [Whisper](https://github.com/openai/whisper) ASR models from [Speech recognition](https://github.com/k2-fsa/sherpa-onnx/releases/tag/asr-models) |
| Punctuation| [Address](https://github.com/k2-fsa/sherpa-onnx/releases/tag/punctuation-models)|

### Useful links
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