From 2179b5388df1802b5414f492be51251d7e1f852d Mon Sep 17 00:00:00 2001 From: 游雁 <zhifu.gzf@alibaba-inc.com> Date: 星期三, 26 七月 2023 20:04:47 +0800 Subject: [PATCH] docs zh --- docs/model_zoo/modelscope_models.md | 2 docs/model_zoo/modelscope_models_zh.md | 131 +++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 133 insertions(+), 0 deletions(-) diff --git a/docs/model_zoo/modelscope_models.md b/docs/model_zoo/modelscope_models.md index a9fc52e..2fe4559 100644 --- a/docs/model_zoo/modelscope_models.md +++ b/docs/model_zoo/modelscope_models.md @@ -1,3 +1,5 @@ +([绠�浣撲腑鏂嘳(./modelscope_models_zh.md)|English) + # Pretrained Models on ModelScope ## Model License diff --git a/docs/model_zoo/modelscope_models_zh.md b/docs/model_zoo/modelscope_models_zh.md new file mode 100644 index 0000000..8719ded --- /dev/null +++ b/docs/model_zoo/modelscope_models_zh.md @@ -0,0 +1,131 @@ +(绠�浣撲腑鏂噟[English](./modelscope_models.md)) + +# ModelScope涓婄殑棰勮缁冩ā鍨� + +## 妯″瀷璁稿彲鍗忚 +鎮ㄥ彲浠ュ湪鏈崗璁殑鏉′欢涓嬭嚜鐢变娇鐢ㄣ�佸鍒躲�佷慨鏀瑰拰鍒嗕韩FunASR妯″瀷銆傚湪浣跨敤銆佸鍒躲�佷慨鏀瑰拰鍒嗕韩FunASR妯″瀷鏃讹紝鎮ㄥ簲褰撴爣鏄庢ā鍨嬫潵婧愬拰浣滆�呬俊鎭�傛偍搴斿綋鍦╗FunASR杞欢]涓繚鐣欑浉鍏虫ā鍨嬬殑鍚嶇О銆傚畬鏁寸殑妯″瀷璁稿彲璇佽鍙傝 [妯″瀷璁稿彲鍗忚](https://github.com/alibaba-damo-academy/FunASR/blob/main/MODEL_LICENSE) + +## 妯″瀷鐢ㄦ硶 +妯″瀷鐢ㄦ硶鍙傝�僛鏂囨。](funasr/quick_start_zh.md) + +## 妯″瀷浠撳簱 +杩欓噷鎴戜滑鎻愪緵浜嗗湪涓嶅悓鏁版嵁闆嗕笂棰勮缁冪殑妯″瀷銆傛ā鍨嬪拰鏁版嵁闆嗙殑璇︾粏淇℃伅鍙湪 [ModelScope](https://www.modelscope.cn/models?page=1&tasks=auto-speech-recognition)涓壘鍒�. + +### 璇煶璇嗗埆妯″瀷 +#### Paraformer妯″瀷 + +| 妯″瀷鍚嶅瓧 | 璇█ | 璁粌鏁版嵁 | 璇嶅吀澶у皬 | 鍙傛暟閲� | 闈炲疄鏃�/瀹炴椂 | 澶囨敞 | +|:--------------------------------------------------------------------------------------------------------------------------------------------------:|:--------:|:---------------------:|:-----------------:|:----:|:-------:|:---------------------------| +| [Paraformer-large](https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary) | 涓枃鍜岃嫳鏂� | 闃块噷宸村反璇煶鏁版嵁锛�60000灏忔椂锛� | 8404 | 220M | 闈炲疄鏃� | 杈撳叆wav鏂囦欢鎸佺画鏃堕棿涓嶈秴杩�20绉� | +| [Paraformer-large闀块煶棰戠増鏈琞(https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary) | 涓枃鍜岃嫳鏂� | 闃块噷宸村反璇煶鏁版嵁锛�60000灏忔椂锛� | 8404 | 220M | 闈炲疄鏃� || 鑳藉澶勭悊浠绘剰闀垮害鐨勮緭鍏av鏂囦欢 | +| [Paraformer-large鐑瘝](https://www.modelscope.cn/models/damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404/summary) | | 涓枃鍜岃嫳鏂� | 闃块噷宸村反璇煶鏁版嵁锛�60000灏忔椂锛� | 8404 | 220M | 闈炲疄鏃� | 鍩轰簬婵�鍔卞寮虹殑鐑瘝瀹氬埗鏀寔锛屽彲浠ユ彁楂樼儹璇嶇殑鍙洖鐜囧拰鍑嗙‘鐜囷紝杈撳叆wav鏂囦欢鎸佺画鏃堕棿涓嶈秴杩�20绉� | +| [Paraformer](https://modelscope.cn/models/damo/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8358-tensorflow1/summary) | 涓枃鍜岃嫳鏂� | 闃块噷宸村反璇煶鏁版嵁锛�50000灏忔椂锛� | 8358 | 68M | 绂荤嚎 | 杈撳叆wav鏂囦欢鎸佺画鏃堕棿涓嶈秴杩�20绉� | +| [Paraformer瀹炴椂](https://www.modelscope.cn/models/damo/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8404-瀹炴椂/summary) | 涓枃鍜岃嫳鏂� | 闃块噷宸村反璇煶鏁版嵁 (50000hours) | 8404 | 68M | 瀹炴椂 | 鑳藉澶勭悊娴佸紡杈撳叆 | +| [Paraformer-large瀹炴椂](https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-瀹炴椂/summary) | 涓枃鍜岃嫳鏂� | 闃块噷宸村反璇煶鏁版嵁 (60000hours) | 8404 | 220M | 瀹炴椂 | 鑳藉澶勭悊娴佸紡杈撳叆 | +| [Paraformer-tiny](https://www.modelscope.cn/models/damo/speech_paraformer-tiny-commandword_asr_nat-zh-cn-16k-vocab544-pytorch/summary) | 涓枃 | 闃块噷宸村反璇煶鏁版嵁 (200hours) | 544 | 5.2M | 闈炲疄鏃� | 杞婚噺绾araformer妯″瀷锛屾敮鎸佹櫘閫氳瘽鍛戒护璇嶈瘑鍒� | +| [Paraformer-aishell](https://www.modelscope.cn/models/damo/speech_paraformer_asr_nat-aishell1-pytorch/summary) | 涓枃 | AISHELL (178hours) | 4234 | 43M | 闈炲疄鏃� | 瀛︽湳妯″瀷 | +| [ParaformerBert-aishell](https://modelscope.cn/models/damo/speech_paraformerbert_asr_nat-zh-cn-16k-aishell1-vocab4234-pytorch/summary) | 涓枃 | AISHELL (178hours) | 4234 | 43M | 闈炲疄鏃� | 瀛︽湳妯″瀷 | +| [Paraformer-aishell2](https://www.modelscope.cn/models/damo/speech_paraformer_asr_nat-zh-cn-16k-aishell2-vocab5212-pytorch/summary) | 涓枃 | AISHELL-2 (1000hours) | 5212 | 64M | 闈炲疄鏃� | 瀛︽湳妯″瀷 | +| [ParaformerBert-aishell2](https://www.modelscope.cn/models/damo/speech_paraformerbert_asr_nat-zh-cn-16k-aishell2-vocab5212-pytorch/summary) | 涓枃 | AISHELL-2 (1000hours) | 5212 | 64M | 闈炲疄鏃� | 瀛︽湳妯″瀷 | + + +#### UniASR妯″瀷 + +| 妯″瀷鍚嶅瓧 | 璇█ | 璁粌鏁版嵁 | Vocab Size | Parameter | 闈炲疄鏃�/瀹炴椂 | 澶囨敞 | +|:-------------------------------------------------------------------------------------------------------------------------------------------------:|:--------:|:---------------------------------:|:----------:|:---------:|:--------------:|:--------------------------------------------------------------------------------------------------------------------------------| +| [UniASR](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-zh-cn-16k-common-vocab8358-tensorflow1-瀹炴椂/summary) | 涓枃鍜岃嫳鏂� | 闃块噷宸村反璇煶鏁版嵁 (60000 灏忔椂) | 8358 | 100M | 瀹炴椂 | 娴佸紡绂荤嚎涓�浣撳寲妯″瀷 | +| [UniASR-large](https://modelscope.cn/models/damo/speech_UniASR-large_asr_2pass-zh-cn-16k-common-vocab8358-tensorflow1-闈炲疄鏃�/summary) | 涓枃鍜岃嫳鏂� | 闃块噷宸村反璇煶鏁版嵁 (60000 灏忔椂) | 8358 | 220M | 闈炲疄鏃� | 娴佸紡绂荤嚎涓�浣撳寲妯″瀷 | +| [UniASR English](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-en-16k-common-vocab1080-tensorflow1-瀹炴椂/summary) | 鑻辨枃 | 闃块噷宸村反璇煶鏁版嵁 (10000 灏忔椂) | 1080 | 95M | 瀹炴椂 | 娴佸紡绂荤嚎涓�浣撳寲妯″瀷 | +| [UniASR Russian](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-ru-16k-common-vocab1664-tensorflow1-瀹炴椂/summary) | 淇勮 | 闃块噷宸村反璇煶鏁版嵁 (5000 灏忔椂) | 1664 | 95M | 瀹炴椂 | 娴佸紡绂荤嚎涓�浣撳寲妯″瀷 | +| [UniASR Japanese](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-ja-16k-common-vocab93-tensorflow1-瀹炴椂/summary) | 鏃ヨ | 闃块噷宸村反璇煶鏁版嵁 (5000 灏忔椂) | 5977 | 95M | 瀹炴椂 | 娴佸紡绂荤嚎涓�浣撳寲妯″瀷 | +| [UniASR Korean](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-ko-16k-common-vocab6400-tensorflow1-瀹炴椂/summary) | 闊╄ | 闃块噷宸村反璇煶鏁版嵁 (2000 灏忔椂) | 6400 | 95M | 瀹炴椂 | 娴佸紡绂荤嚎涓�浣撳寲妯″瀷 | +| [UniASR Cantonese (CHS)](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-cantonese-CHS-16k-common-vocab1468-tensorflow1-瀹炴椂/summary) | 绮よ锛堢畝浣撲腑鏂囷級 | 闃块噷宸村反璇煶鏁版嵁 (5000 灏忔椂) | 1468 | 95M | 瀹炴椂 | 娴佸紡绂荤嚎涓�浣撳寲妯″瀷 | +| [UniASR Indonesian](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-id-16k-common-vocab1067-tensorflow1-瀹炴椂/summary) | 鍗板凹璇� | 闃块噷宸村反璇煶鏁版嵁 (1000 灏忔椂) | 1067 | 95M | 瀹炴椂 | 娴佸紡绂荤嚎涓�浣撳寲妯″瀷 | +| [UniASR Vietnamese](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-vi-16k-common-vocab1001-pytorch-瀹炴椂/summary) | 瓒婂崡璇� | 闃块噷宸村反璇煶鏁版嵁 (1000 灏忔椂) | 1001 | 95M | 瀹炴椂 | 娴佸紡绂荤嚎涓�浣撳寲妯″瀷 | +| [UniASR Spanish](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-es-16k-common-vocab3445-tensorflow1-瀹炴椂/summary) | 瑗跨彮鐗欒 | 闃块噷宸村反璇煶鏁版嵁 (1000 灏忔椂) | 3445 | 95M | 瀹炴椂 | 娴佸紡绂荤嚎涓�浣撳寲妯″瀷 | +| [UniASR Portuguese](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-pt-16k-common-vocab1617-tensorflow1-瀹炴椂/summary) | 钁¤悇鐗欒 | 闃块噷宸村反璇煶鏁版嵁 (1000 灏忔椂) | 1617 | 95M | 瀹炴椂 | 娴佸紡绂荤嚎涓�浣撳寲妯″瀷 | +| [UniASR French](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-fr-16k-common-vocab3472-tensorflow1-瀹炴椂/summary) | 娉曡 | 闃块噷宸村反璇煶鏁版嵁 (1000 灏忔椂) | 3472 | 95M | 瀹炴椂 | 娴佸紡绂荤嚎涓�浣撳寲妯″瀷 | +| [UniASR German](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-de-16k-common-vocab3690-tensorflow1-瀹炴椂/summary) | 寰疯 | 闃块噷宸村反璇煶鏁版嵁 (1000 灏忔椂) | 3690 | 95M | 瀹炴椂 | 娴佸紡绂荤嚎涓�浣撳寲妯″瀷 | +| [UniASR Persian](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-fa-16k-common-vocab1257-pytorch-瀹炴椂/summary) | 娉㈡柉璇� | 闃块噷宸村反璇煶鏁版嵁 (1000 灏忔椂) | 1257 | 95M | 瀹炴椂 | 娴佸紡绂荤嚎涓�浣撳寲妯″瀷 | +| [UniASR Burmese](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-my-16k-common-vocab696-pytorch/summary) | 缂呯敻璇� | 闃块噷宸村反璇煶鏁版嵁 (1000 灏忔椂) | 696 | 95M | 瀹炴椂 | 娴佸紡绂荤嚎涓�浣撳寲妯″瀷 | +| [UniASR Hebrew](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-he-16k-common-vocab1085-pytorch/summary) | 甯屼集鏉ヨ | 闃块噷宸村反璇煶鏁版嵁 (1000 灏忔椂) | 1085 | 95M | 瀹炴椂 | 娴佸紡绂荤嚎涓�浣撳寲妯″瀷 | +| [UniASR Urdu](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-ur-16k-common-vocab877-pytorch/summary) | 涔屽皵閮借 | 闃块噷宸村反璇煶鏁版嵁 (1000 灏忔椂) | 877 | 95M | 瀹炴椂 | 娴佸紡绂荤嚎涓�浣撳寲妯″瀷 | +| [UniASR Turkish](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-tr-16k-common-vocab1582-pytorch/summary) | 鍦熻�冲叾璇� | 闃块噷宸村反璇煶鏁版嵁 (1000 灏忔椂) | 1582 | 95M | 瀹炴椂 | 娴佸紡绂荤嚎涓�浣撳寲妯″瀷 | + + +#### Conformer妯″瀷 + +| 妯″瀷鍚嶅瓧 | 璇█ | 璁粌鏁版嵁 | Vocab Size | Parameter | 闈炲疄鏃�/瀹炴椂 | 澶囨敞 | +|:----------------------------------------------------------------------------------------------------------------------:|:--------:|:---------------------:|:----------:|:---------:|:--------------:|:--------------------------------------------------------------------------------------------------------------------------------| +| [Conformer](https://modelscope.cn/models/damo/speech_conformer_asr_nat-zh-cn-16k-aishell1-vocab4234-pytorch/summary) | 涓枃 | AISHELL (178hours) | 4234 | 44M | 闈炲疄鏃� | 杈撳叆wav鏂囦欢鎸佺画鏃堕棿涓嶈秴杩�20绉� | +| [Conformer](https://www.modelscope.cn/models/damo/speech_conformer_asr_nat-zh-cn-16k-aishell2-vocab5212-pytorch/summary) | 涓枃 | AISHELL-2 (1000hours) | 5212 | 44M | 闈炲疄鏃� | 杈撳叆wav鏂囦欢鎸佺画鏃堕棿涓嶈秴杩�20绉� | +| [Conformer](https://modelscope.cn/models/damo/speech_conformer_asr-en-16k-vocab4199-pytorch/summary) | 鑻辨枃 | 闃块噷宸村反璇煶鏁版嵁 (10000hours) | 4199 | 220M | 闈炲疄鏃� | 杈撳叆wav鏂囦欢鎸佺画鏃堕棿涓嶈秴杩�20绉� | + + +#### RNN-T 妯″瀷 + +### 澶氳璇濅汉璇煶璇嗗埆妯″瀷 + +#### MFCCA妯″瀷 + +| 妯″瀷鍚嶅瓧 | 璇█ | 璁粌鏁版嵁 | Vocab Size | Parameter | 闈炲疄鏃�/瀹炴椂 | 澶囨敞 | +|:-------------------------------------------------------------------------------------------------------------:|:--------:|:------------------------------------------:|:----------:|:---------:|:--------------:|:--------------------------------------------------------------------------------------------------------------------------------| +| [MFCCA](https://www.modelscope.cn/models/NPU-ASLP/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950/summary) | 涓枃 | AliMeeting銆丄ISHELL-4銆丼imudata (917hours) | 4950 | 45M | 闈炲疄鏃� | 杈撳叆闊抽鐨勬寔缁椂闂翠笉瓒呰繃20绉掞紝杈撳叆闊抽鐨勯�氶亾鏁颁笉瓒呰繃8閫氶亾銆� | + + + +### 璇煶绔偣妫�娴嬫ā鍨� + +| 妯″瀷鍚嶅瓧 | 璁粌鏁版嵁 | 妯″瀷鍙傛暟 | Sampling Rate | 澶囨敞 | +|:----------------------------------------------------------------------------------------------:|:----------------------------:|:----------:|:-------------:|:------| +| [FSMN-VAD](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/summary) | 闃块噷宸村反璇煶鏁版嵁 (5000hours) | 0.4M | 16000 | | +| [FSMN-VAD](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-8k-common/summary) | 闃块噷宸村反璇煶鏁版嵁 (5000hours) | 0.4M | 8000 | | + +### 鏍囩偣鎭㈠妯″瀷 + +| 妯″瀷鍚嶅瓧 | 璁粌鏁版嵁 | 妯″瀷鍙傛暟 | Vocab Size| 闈炲疄鏃�/瀹炴椂 | 澶囨敞 | +|:--------------------------------------------------------------------------------------------------------------------------:|:----------------------------:|:----------:|:----------:|:--------------:|:--------| +| [CT-Transformer](https://modelscope.cn/models/damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch/summary) | Alibaba Text Data | 70M | 272727 | 闈炲疄鏃� | 鏀寔涓嫳鏂囨爣鐐� | +| [CT-Transformer](https://modelscope.cn/models/damo/punc_ct-transformer_zh-cn-common-vad_realtime-vocab272727/summary) | Alibaba Text Data | 70M | 272727 | 瀹炴椂 | VAD鐐瑰疄鏃� | + +### 璇煶妯″瀷 + +| 妯″瀷鍚嶅瓧 | 璁粌鏁版嵁 | 妯″瀷鍙傛暟 | 璇嶅吀澶у皬 | 澶囨敞 | +|:----------------------------------------------------------------------------------------------------------------------:|:---------:|:----------:|:----:|:------| +| [Transformer](https://www.modelscope.cn/models/damo/speech_transformer_lm_zh-cn-common-vocab8404-pytorch/summary) | 闃块噷宸村反璇煶鏁版嵁 | 57M | 8404 | | + +### 璇磋瘽浜虹‘璁ゆā鍨� + +| 妯″瀷鍚嶅瓧 | 璁粌鏁版嵁 | 妯″瀷鍙傛暟 | Number Speaker | 澶囨敞 | +|:-------------------------------------------------------------------------------------------------------------:|:-----------------:|:----------:|:----------:|:------------| +| [Xvector](https://www.modelscope.cn/models/damo/speech_xvector_sv-zh-cn-cnceleb-16k-spk3465-pytorch/summary) | CNCeleb (1,200 灏忔椂) | 17.5M | 3465 | Xvector锛� 涓枃 | +| [Xvector](https://www.modelscope.cn/models/damo/speech_xvector_sv-en-us-callhome-8k-spk6135-pytorch/summary) | CallHome (60 灏忔椂) | 61M | 6135 | Xvector锛岃嫳鏂� | + +### 璇磋瘽浜烘棩蹇楁ā鍨� + +| 妯″瀷鍚嶅瓧 | 璁粌鏁版嵁 | 妯″瀷鍙傛暟 | 澶囨敞 | +|:----------------------------------------------------------------------------------------------------------------:|:-------------------:|:----------:|:----| +| [SOND](https://www.modelscope.cn/models/damo/speech_diarization_sond-zh-cn-alimeeting-16k-n16k4-pytorch/summary) | AliMeeting (120 灏忔椂) | 40.5M | 涓枃 | +| [SOND](https://www.modelscope.cn/models/damo/speech_diarization_sond-en-us-callhome-8k-n16k4-pytorch/summary) | CallHome (60 灏忔椂) | 12M | 鑻辨枃 | + +### 鏃堕棿鎴抽娴嬫ā鍨� + +| 妯″瀷鍚嶅瓧 | 璇█ | 璁粌鏁版嵁 | 妯″瀷鍙傛暟 | 澶囨敞 | +|:--------------------------------------------------------------------------------------------------:|:--------------:|:-------------------:|:----------:|:---------| +| [TP-Aligner](https://modelscope.cn/models/damo/speech_timestamp_prediction-v1-16k-闈炲疄鏃�/summary) |涓枃| 闃块噷宸村反璇煶鏁版嵁 (50000hours) | 37.8M | 鏃堕棿鎴虫ā鍨嬶紝涓枃 | + +### 閫嗘枃鏈鍒欏寲 + +| 妯″瀷鍚嶅瓧 | 璇█ | 妯″瀷鍙傛暟 | 澶囨敞 | +|:----------------------------------------------------------------------------------------------------------------:|:---:|:------:|:--------------| +| [English](https://modelscope.cn/models/damo/speech_inverse_text_processing_fun-text-processing-itn-en/summary) | EN | 1.54M | ITN锛岃闊宠瘑鍒枃鏈悗澶勭悊 | +| [Russian](https://modelscope.cn/models/damo/speech_inverse_text_processing_fun-text-processing-itn-ru/summary) | RU | 17.79M | ITN锛岃闊宠瘑鍒枃鏈悗澶勭悊 | +| [Japanese](https://modelscope.cn/models/damo/speech_inverse_text_processing_fun-text-processing-itn-ja/summary) | JA | 6.8M | ITN锛岃闊宠瘑鍒枃鏈悗澶勭悊 | +| [Korean](https://modelscope.cn/models/damo/speech_inverse_text_processing_fun-text-processing-itn-ko/summary) | KO | 1.28M | ITN锛岃闊宠瘑鍒枃鏈悗澶勭悊 | +| [Indonesian](https://modelscope.cn/models/damo/speech_inverse_text_processing_fun-text-processing-itn-id/summary) | ID | 2.06M | ITN锛岃闊宠瘑鍒枃鏈悗澶勭悊 | +| [Vietnamese](https://modelscope.cn/models/damo/speech_inverse_text_processing_fun-text-processing-itn-vi/summary) | VI | 0.92M | ITN锛岃闊宠瘑鍒枃鏈悗澶勭悊 | +| [Tagalog](https://modelscope.cn/models/damo/speech_inverse_text_processing_fun-text-processing-itn-tl/summary) | TL | 0.65M | ITN锛岃闊宠瘑鍒枃鏈悗澶勭悊 | +| [Spanish](https://modelscope.cn/models/damo/speech_inverse_text_processing_fun-text-processing-itn-es/summary) | ES | 1.32M | ITN锛岃闊宠瘑鍒枃鏈悗澶勭悊 | +| [Portuguese](https://modelscope.cn/models/damo/speech_inverse_text_processing_fun-text-processing-itn-pt/summary) | PT | 1.28M | ITN锛岃闊宠瘑鍒枃鏈悗澶勭悊 | +| [French](https://modelscope.cn/models/damo/speech_inverse_text_processing_fun-text-processing-itn-fr/summary) | FR | 4.39M | ITN锛岃闊宠瘑鍒枃鏈悗澶勭悊 | +| [German](https://modelscope.cn/models/damo/speech_inverse_text_processing_fun-text-processing-itn-de/summary)| GE | 3.95M | ITN锛岃闊宠瘑鍒枃鏈悗澶勭悊 | -- Gitblit v1.9.1