Merge branch 'main' of github.com:alibaba-damo-academy/FunASR

add

docs/modelscope_models.md

@@ -40,13 +40,18 @@ Here we provided several pretrained models on different datasets. The details of
 | [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                                                                                                    |
 
+
+#### RNN-T Models
+
+### Multi-talker Speech Recognition Models
+
 #### 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