From 39efd2204c84b086dceac3dbb257425fc640a3ff Mon Sep 17 00:00:00 2001
From: Lizerui9926 <110582652+Lizerui9926@users.noreply.github.com>
Date: 星期一, 17 四月 2023 11:05:01 +0800
Subject: [PATCH] Merge pull request #364 from alibaba-damo-academy/dev_sx

---
 docs/modelscope_models.md |   10 +++++++---
 1 files changed, 7 insertions(+), 3 deletions(-)

diff --git a/docs/modelscope_models.md b/docs/modelscope_models.md
index b4ef0ca..5bbf499 100644
--- a/docs/modelscope_models.md
+++ b/docs/modelscope_models.md
@@ -32,11 +32,15 @@
 |       [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                                                                                                    |
 
 #### Conformer Models
-#### Paraformer Models
 |                                                       Model Name                                                       | Language |     Training Data     | Vocab Size | Parameter | Offline/Online | Notes                                                                                                                           |
 |:----------------------------------------------------------------------------------------------------------------------:|:--------:|:---------------------:|:----------:|:---------:|:--------------:|:--------------------------------------------------------------------------------------------------------------------------------|
 | [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銆丄ISHELL-4銆丼imudata (917hours)   |    4950    |    45M    |    Offline     | Duration of input wav <= 20s, channel of input wav <= 8 channel
 
 #### RNN-T Models
 
@@ -44,8 +48,8 @@
 
 |                                           Model Name                                           |        Training Data         | Parameters | Sampling Rate | Notes |
 |:----------------------------------------------------------------------------------------------:|:----------------------------:|:----------:|:-------------:|:------|
-| [FSMN-VAD](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/summary) | Alibaba Speech Data (?hours) |    0.4M    |     16000     |       |
-|   [FSMN-VAD](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-8k-common/summary)        | Alibaba Speech Data (?hours) |    0.4M    |     8000      |       |
+| [FSMN-VAD](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/summary) | Alibaba Speech Data (5000hours) |    0.4M    |     16000     |       |
+|   [FSMN-VAD](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-8k-common/summary)        | Alibaba Speech Data (5000hours) |    0.4M    |     8000      |       |
 
 ### Punctuation Restoration Models
 

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