python/FunASR-XL.git

			@@ -50,17 +50,17 @@
			(Note: 🤗 represents the Huggingface model zoo link, ⭐ represents the ModelScope model zoo link)


			\| Model Name \| Task Details \| Training Date \| Parameters \|
			\|:---------------------------------------------------------------------------------------------------------------------------------------------------------------:\|:---------------------------------------------------------------------------:\|:--------------------------------:\|:----------:\|
			\| paraformer-zh ([⭐](https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary) [🤗]() ) \| speech recognition, with timestamps, non-streaming \| 60000 hours, Mandarin \| 220M \|
			\| paraformer-zh-spk ( [⭐](https://modelscope.cn/models/damo/speech_paraformer-large-vad-punc-spk_asr_nat-zh-cn/summary) [🤗]() ) \| speech recognition with speaker diarization, with timestamps, non-streaming \| 60000 hours, Mandarin \| 220M \|
			\| paraformer-zh-online ( [⭐](https://modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online/summary) [🤗]() ) \| speech recognition, non-streaming \| 60000 hours, Mandarin \| 220M \|
			\| paraformer-en ( [⭐](https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-en-16k-common-vocab10020/summary) [🤗]() ) \| speech recognition, with timestamps, non-streaming \| 50000 hours, English \| 220M \|
			\| paraformer-en-spk ([🤗]() [⭐]() ) \| speech recognition with speaker diarization, non-streaming \| 50000 hours, English \| 220M \|
			\| conformer-en ( [⭐](https://modelscope.cn/models/damo/speech_conformer_asr-en-16k-vocab4199-pytorch/summary) [🤗]() ) \| speech recognition, non-streaming \| 50000 hours, English \| 220M \|
			\| ct-punc ( [⭐](https://modelscope.cn/models/damo/punc_ct-transformer_cn-en-common-vocab471067-large/summary) [🤗]() ) \| punctuation restoration \| 100M, Mandarin and English \| 1.1G \|
			\| fsmn-vad ( [⭐](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/summary) [🤗]() ) \| voice activity detection \| 5000 hours, Mandarin and English \| 0.4M \|
			\| fa-zh ( [⭐](https://modelscope.cn/models/damo/speech_timestamp_prediction-v1-16k-offline/summary) [🤗]() ) \| timestamp prediction \| 5000 hours, Mandarin \| 38M \|
			\| Model Name \| Task Details \| Training Date \| Parameters \|
			\|:------------------------------------------------------------------------------------------------------------------------------------------------------------------:\|:---------------------------------------------------------------------------:\|:--------------------------------:\|:----------:\|
			\| paraformer-zh <br> ([⭐](https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary) [🤗]() ) \| speech recognition, with timestamps, non-streaming \| 60000 hours, Mandarin \| 220M \|
			\| paraformer-zh-spk <br> ( [⭐](https://modelscope.cn/models/damo/speech_paraformer-large-vad-punc-spk_asr_nat-zh-cn/summary) [🤗]() ) \| speech recognition with speaker diarization, with timestamps, non-streaming \| 60000 hours, Mandarin \| 220M \|
			\| <nobr>paraformer-zh-online <br> ( [⭐](https://modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online/summary) [🤗]() )</nobr> \| speech recognition, streaming \| 60000 hours, Mandarin \| 220M \|
			\| paraformer-en <br> ( [⭐](https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-en-16k-common-vocab10020/summary) [🤗]() ) \| speech recognition, with timestamps, non-streaming \| 50000 hours, English \| 220M \|
			\| paraformer-en-spk <br> ([⭐]()[🤗]() ) \| speech recognition with speaker diarization, non-streaming \| Undo \| Undo \|
			\| conformer-en <br> ( [⭐](https://modelscope.cn/models/damo/speech_conformer_asr-en-16k-vocab4199-pytorch/summary) [🤗]() ) \| speech recognition, non-streaming \| 50000 hours, English \| 220M \|
			\| ct-punc <br> ( [⭐](https://modelscope.cn/models/damo/punc_ct-transformer_cn-en-common-vocab471067-large/summary) [🤗]() ) \| punctuation restoration \| 100M, Mandarin and English \| 1.1G \|
			\| fsmn-vad <br> ( [⭐](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/summary) [🤗]() ) \| voice activity detection \| 5000 hours, Mandarin and English \| 0.4M \|
			\| fa-zh <br> ( [⭐](https://modelscope.cn/models/damo/speech_timestamp_prediction-v1-16k-offline/summary) [🤗]() ) \| timestamp prediction \| 5000 hours, Mandarin \| 38M \|



			@@ -76,6 +76,15 @@
			FunASR supports inference and fine-tuning of models trained on industrial data for tens of thousands of hours. For more details, please refer to [modelscope_egs](https://alibaba-damo-academy.github.io/FunASR/en/modelscope_pipeline/quick_start.html). It also supports training and fine-tuning of models on academic standard datasets. For more information, please refer to [egs](https://alibaba-damo-academy.github.io/FunASR/en/academic_recipe/asr_recipe.html).

			Below is a quick start tutorial. Test audio files ([Mandarin](https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/vad_example.wav), [English]()).

			### Command-line usage

			```shell
			funasr --model paraformer-zh asr_example_zh.wav
			```

			Notes: Support recognition of single audio file, as well as file list in Kaldi-style wav.scp format: `wav_id wav_pat`

			### Speech Recognition (Non-streaming)
			```python
			from funasr import infer
			@@ -126,7 +135,7 @@
			For more detailed information, please refer to the [service deployment documentation](runtime/readme.md).


			<a name="Community Communication"></a>
			<a name="contact"></a>
			## Community Communication
			If you encounter problems in use, you can directly raise Issues on the github page.

			@@ -138,13 +147,13 @@

			## Contributors

			\| <div align="left"><img src="docs/images/nwpu.png" width="260"/> \| <img src="docs/images/China_Telecom.png" width="200"/> </div> \| <img src="docs/images/RapidAI.png" width="200"/> </div> \| <img src="docs/images/aihealthx.png" width="200"/> </div> \| <img src="docs/images/XVERSE.png" width="250"/> </div> \|
			\|:---------------------------------------------------------------:\|:--------------------------------------------------------------:\|:-------------------------------------------------------:\|:-----------------------------------------------------------:\|:------------------------------------------------------:\|
			\| <div align="left"><img src="docs/images/alibaba.png" width="260"/> \| <div align="left"><img src="docs/images/nwpu.png" width="260"/> \| <img src="docs/images/China_Telecom.png" width="200"/> </div> \| <img src="docs/images/RapidAI.png" width="200"/> </div> \| <img src="docs/images/aihealthx.png" width="200"/> </div> \| <img src="docs/images/XVERSE.png" width="250"/> </div> \|
			\|:------------------------------------------------------------------:\|:---------------------------------------------------------------:\|:--------------------------------------------------------------:\|:-------------------------------------------------------:\|:-----------------------------------------------------------:\|:------------------------------------------------------:\|

			The contributors can be found in [contributors list](./Acknowledge.md)

			## License
			This project is licensed under the [The MIT License](https://opensource.org/licenses/MIT). FunASR also contains various third-party components and some code modified from other repos under other open source licenses.
			This project is licensed under [The MIT License](https://opensource.org/licenses/MIT). FunASR also contains various third-party components and some code modified from other repos under other open source licenses.
			The use of pretraining model is subject to [model license](./MODEL_LICENSE)