| | |
|---|
| | | |
|---|
| | | #### UniASR Models |
|---|
| | | |
|---|
| | | | 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 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 | |
|---|
| | | | 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 (60000 hours) | 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 (60000 hours) | 8358 | 220M | Offline | UniASR streaming offline unifying models | |
|---|
| | | | [UniASR English](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-en-16k-common-vocab1080-tensorflow1-online/summary) | EN | Alibaba Speech Data (10000 hours) | 1080 | 95M | Online | UniASR streaming online unifying models | |
|---|
| | | | [UniASR Russian](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-ru-16k-common-vocab1664-tensorflow1-online/summary) | RU | Alibaba Speech Data (5000 hours) | 1664 | 95M | Online | UniASR streaming online unifying models | |
|---|
| | | | [UniASR Japanese](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-ja-16k-common-vocab93-tensorflow1-online/summary) | JA | Alibaba Speech Data (5000 hours) | 5977 | 95M | Online | UniASR streaming offline unifying models | |
|---|
| | | | [UniASR Korean](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-ko-16k-common-vocab6400-tensorflow1-online/summary) | KO | Alibaba Speech Data (2000 hours) | 6400 | 95M | Online | UniASR streaming online unifying models | |
|---|
| | | | [UniASR Cantonese (CHS)](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-cantonese-CHS-16k-common-vocab1468-tensorflow1-online/summary) | Cantonese (CHS) | Alibaba Speech Data (5000 hours) | 1468 | 95M | Online | UniASR streaming online unifying models | |
|---|
| | | | [UniASR Indonesian](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-id-16k-common-vocab1067-tensorflow1-online/summary) | ID | Alibaba Speech Data (1000 hours) | 1067 | 95M | Online | UniASR streaming offline unifying models | |
|---|
| | | | [UniASR Vietnamese](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-vi-16k-common-vocab1001-pytorch-online/summary) | VI | Alibaba Speech Data (1000 hours) | 1001 | 95M | Online | UniASR streaming offline unifying models | |
|---|
| | | | [UniASR Spanish](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-es-16k-common-vocab3445-tensorflow1-online/summary) | ES | Alibaba Speech Data (1000 hours) | 3445 | 95M | Online | UniASR streaming online unifying models | |
|---|
| | | | [UniASR Portuguese](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-pt-16k-common-vocab1617-tensorflow1-online/summary) | PT | Alibaba Speech Data (1000 hours) | 1617 | 95M | Online | UniASR streaming offline unifying models | |
|---|
| | | | [UniASR French](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-fr-16k-common-vocab3472-tensorflow1-online/summary) | FR | Alibaba Speech Data (1000 hours) | 3472 | 95M | Online | UniASR streaming online unifying models | |
|---|
| | | | [UniASR German](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-de-16k-common-vocab3690-tensorflow1-online/summary) | GE | Alibaba Speech Data (1000 hours) | 3690 | 95M | Online | UniASR streaming online unifying models | |
|---|
| | | | [UniASR Persian](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-fa-16k-common-vocab1257-pytorch-online/summary) | FA | Alibaba Speech Data (1000 hours) | 1257 | 95M | Online | UniASR streaming offline unifying models | |
|---|
| | | | [UniASR Burmese](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-my-16k-common-vocab696-pytorch/summary) | MY | Alibaba Speech Data (1000 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) | HE | Alibaba Speech Data (1000 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) | UR | Alibaba Speech Data (1000 hours) | 877 | 95M | Online | UniASR streaming offline unifying models | |
|---|
| | | |
|---|
| | | |
|---|
| | | |
|---|
| | | #### Conformer Models |
|---|
| | | |
|---|
| | |
|---|
| | | | Model Name | Language | Training Data | Parameters | Notes | |
|---|
| | | |:--------------------------------------------------------------------------------------------------:|:--------------:|:-------------------:|:----------:|:------| |
|---|
| | | | [TP-Aligner](https://modelscope.cn/models/damo/speech_timestamp_prediction-v1-16k-offline/summary) | CN | Alibaba Speech Data (50000hours) | 37.8M | Timestamp prediction, Mandarin, middle size | |
|---|
| | | |
|---|
| | | ### Inverse Text Normalization (ITN) Models |
|---|
| | | | Model Name | Language | Parameters | Notes | |
|---|
| | | |:----------------------------------------------------------------------------------------------------------------:|:--------:|:----------:|:------| |
|---|
| | | | [English](https://modelscope.cn/models/damo/speech_inverse_text_processing_fun-text-processing-itn-en/summary) | EN | 1.54M | ITN, ASR post processing | |
|---|
| | | | [Russian](https://modelscope.cn/models/damo/speech_inverse_text_processing_fun-text-processing-itn-ru/summary) | RU | 1.28M | ITN, ASR post processing | |
|---|
| | | | [Japanese](https://modelscope.cn/models/damo/speech_inverse_text_processing_fun-text-processing-itn-ja/summary) | JA | 6.8M | ITN, ASR post processing | |
|---|
| | | | [Korean](https://modelscope.cn/models/damo/speech_inverse_text_processing_fun-text-processing-itn-ko/summary) | KO | 1.28M | InverASR post processing | |
|---|
| | | | [Indonesian](https://modelscope.cn/models/damo/speech_inverse_text_processing_fun-text-processing-itn-id/summary) | ID | 2.06M | ITN, ASR post processing | |
|---|
| | | | [Vietnamese](https://modelscope.cn/models/damo/speech_inverse_text_processing_fun-text-processing-itn-vi/summary) | VI | 0.92M | ITN, ASR post processing | |
|---|
| | | | [Tagalog](https://modelscope.cn/models/damo/speech_inverse_text_processing_fun-text-processing-itn-tl/summary) | TL | 1.28M | ITN, ASR post processing | |
|---|
| | | | [Spanish](https://modelscope.cn/models/damo/speech_inverse_text_processing_fun-text-processing-itn-es/summary) | ES | 1.28M | ITN, ASR post processing | |
|---|
| | | | [Portuguese](https://modelscope.cn/models/damo/speech_inverse_text_processing_fun-text-processing-itn-pt/summary) | PT | 1.28M | ITN, ASR post processing | |
|---|
| | | | [French](https://modelscope.cn/models/damo/speech_inverse_text_processing_fun-text-processing-itn-fr/summary) | FR | 1.28M | InverASR post processing | |
|---|
| | | | [German](https://modelscope.cn/models/damo/speech_inverse_text_processing_fun-text-processing-itn-de/summary)| GE | 1.28M | ITN, ASR post processing | |
|---|
