yufan
2023-04-16 3e0ef5991cdebd64876111da24511190072f6ad2
docs/modelscope_models.md
@@ -38,6 +38,11 @@
| [Conformer](https://modelscope.cn/models/damo/speech_conformer_asr_nat-zh-cn-16k-aishell1-vocab4234-pytorch/summary)   |   CN     |  AISHELL (178hours)   |    4234    |    44M    |    Offline     | Duration of input wav <= 20s                                                                                                    |
| [Conformer](https://www.modelscope.cn/models/damo/speech_conformer_asr_nat-zh-cn-16k-aishell2-vocab5212-pytorch/summary)   |   CN     | AISHELL-2 (1000hours) |    5212    |    44M    |    Offline     | Duration of input wav <= 20s                                                                                                    |
#### 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
#### RNN-T Models
### Voice Activity Detection Models