docs

游雁

2023-04-18 89f529597cf6983c4a093113055bbada1e461012

docs

 docs/index.rst

@@ -24,7 +24,18 @@

.. toctree::
   :maxdepth: 1
   :caption: ModelScope:
   :caption: Runtime:

   ../funasr/export/README.md
   ../funasr/runtime/python/onnxruntime/README.md
   ../funasr/runtime/python/libtorch/README.md
   ../funasr/runtime/onnxruntime/readme.md
   ../funasr/runtime/grpc/Readme.md


.. toctree::
   :maxdepth: 1
   :caption: ModelScope pipeline:

   ./modelscope_models.md
   ./modelscope_usages.md

 docs/modelscope_models.md

@@ -1,4 +1,4 @@
# Pretrained models on ModelScope
# Pretrained models

## Model License
-  Apache License 2.0
@@ -27,8 +27,8 @@

|                                                               Model Name                                                               | Language |          Training Data           | Vocab Size | Parameter | Offline/Online | Notes                                                                                                                           |
|:--------------------------------------------------------------------------------------------------------------------------------------:|:--------:|:--------------------------------:|:----------:|:---------:|:--------------:|:--------------------------------------------------------------------------------------------------------------------------------|
|       [UniASR](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-zh-cn-16k-common-vocab8358-tensorflow1-online/summary)        | CN, EN  | Alibaba Speech Data (60000hours) |    8358    |   100M    |     Online     | UniASR streaming offline unifying models                                                                                                    |
| [UniASR-large](https://modelscope.cn/models/damo/speech_UniASR-large_asr_2pass-zh-cn-16k-common-vocab8358-tensorflow1-offline/summary) | CN, EN  | Alibaba Speech Data (60000hours) |    8358    |   220M    |    Offline     | UniASR streaming offline unifying models                                                                                                    |
|       [UniASR](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-zh-cn-16k-common-vocab8358-tensorflow1-online/summary)        | CN & EN  | Alibaba Speech Data (60000hours) |    8358    |   100M    |     Online     | UniASR streaming offline unifying models                                                                                                    |
| [UniASR-large](https://modelscope.cn/models/damo/speech_UniASR-large_asr_2pass-zh-cn-16k-common-vocab8358-tensorflow1-offline/summary) | CN & EN  | Alibaba Speech Data (60000hours) |    8358    |   220M    |    Offline     | UniASR streaming offline unifying models                                                                                                    |
|           [UniASR Burmese](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-my-16k-common-vocab696-pytorch/summary)           | Burmese  |  Alibaba Speech Data (? hours)   |    696     |    95M    |     Online     | UniASR streaming offline unifying models                                                                                                    |
|           [UniASR Hebrew](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-he-16k-common-vocab1085-pytorch/summary)           |  Hebrew  |  Alibaba Speech Data (? hours)   |    1085    |    95M    |     Online     | UniASR streaming offline unifying models                                                                                                    |
|       [UniASR Urdu](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-ur-16k-common-vocab877-pytorch/summary)                  |   Urdu   |  Alibaba Speech Data (? hours)   |    877     |    95M    |     Online     | UniASR streaming offline unifying models                                                                                                    |
@@ -47,9 +47,9 @@

#### MFCCA Models

|                                                       Model Name                                                       | Language |     Training Data     | Vocab Size | Parameter | Offline/Online | Notes                                                                                                                           |
|:----------------------------------------------------------------------------------------------------------------------:|:--------:|:---------------------:|:----------:|:---------:|:--------------:|:--------------------------------------------------------------------------------------------------------------------------------|
| [MFCCA](https://www.modelscope.cn/models/NPU-ASLP/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950/summary)   |   CN     |  AliMeeting、AISHELL-4、Simudata (917hours)   |    4950    |    45M    |    Offline     | Duration of input wav <= 20s, channel of input wav <= 8 channel
|                                                  Model Name                                                   | Language |               Training Data                | Vocab Size | Parameter | Offline/Online | Notes                                                                                                                           |
|:-------------------------------------------------------------------------------------------------------------:|:--------:|:------------------------------------------:|:----------:|:---------:|:--------------:|:--------------------------------------------------------------------------------------------------------------------------------|
| [MFCCA](https://www.modelscope.cn/models/NPU-ASLP/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950/summary)    |   CN     | AliMeeting、AISHELL-4、Simudata (917hours)   |     4950   |    45M    |    Offline     | Duration of input wav <= 20s, channel of input wav <= 8 channel |