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| | | | [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 | |
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| | | | [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 | |
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| | | #### RNN-T Models |
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| | | ### Multi-talker Speech Recognition Models |
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| | | #### MFCCA Models |
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| | | | Model Name | Language | Training Data | Vocab Size | Parameter | Offline/Online | Notes | |
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| | | |:----------------------------------------------------------------------------------------------------------------------:|:--------:|:---------------------:|:----------:|:---------:|:--------------:|:--------------------------------------------------------------------------------------------------------------------------------| |
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| | | | [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 |
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| | | |
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| | | #### RNN-T Models |
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| | | |
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| | | ### Voice Activity Detection Models |
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| | | ### Speaker Verification Models |
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| | | | Model Name | Training Data | Parameters | Vocab Size | Notes | |
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| | | | Model Name | Training Data | Parameters | Number Speaker | Notes | |
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| | | |:-------------------------------------------------------------------------------------------------------------:|:-----------------:|:----------:|:----------:|:------| |
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| | | | [Xvector](https://www.modelscope.cn/models/damo/speech_xvector_sv-zh-cn-cnceleb-16k-spk3465-pytorch/summary) | CNCeleb (?hours) | 17.5M | 3465 | | |
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| | | | [Xvector](https://www.modelscope.cn/models/damo/speech_xvector_sv-en-us-callhome-8k-spk6135-pytorch/summary) | CallHome (?hours) | 61M | 6135 | | |
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| | | | [Xvector](https://www.modelscope.cn/models/damo/speech_xvector_sv-zh-cn-cnceleb-16k-spk3465-pytorch/summary) | CNCeleb (1,200 hours) | 17.5M | 3465 | Xvector, speaker verification, Chinese | |
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| | | | [Xvector](https://www.modelscope.cn/models/damo/speech_xvector_sv-en-us-callhome-8k-spk6135-pytorch/summary) | CallHome (60 hours) | 61M | 6135 | Xvector, speaker verification, English | |
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| | | |
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| | | ### Speaker diarization Models |
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| | | |
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| | | | Model Name | Training Data | Parameters | Notes | |
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| | | |:----------------------------------------------------------------------------------------------------------------:|:-------------------:|:----------:|:------| |
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| | | | [SOND](https://www.modelscope.cn/models/damo/speech_diarization_sond-zh-cn-alimeeting-16k-n16k4-pytorch/summary) | AliMeeting (?hours) | 40.5M | | |
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| | | | [SOND](https://www.modelscope.cn/models/damo/speech_diarization_sond-en-us-callhome-8k-n16k4-pytorch/summary) | CallHome (?hours) | 12M | | |
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| | | | [SOND](https://www.modelscope.cn/models/damo/speech_diarization_sond-zh-cn-alimeeting-16k-n16k4-pytorch/summary) | AliMeeting (120 hours) | 40.5M | Speaker diarization, profiles and records, Chinese | |
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| | | | [SOND](https://www.modelscope.cn/models/damo/speech_diarization_sond-en-us-callhome-8k-n16k4-pytorch/summary) | CallHome (60 hours) | 12M | Speaker diarization, profiles and records, English | |
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| | | |
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| | | ### Timestamp Prediction Models |
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| | | |
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| | | | Model Name | Language | Training Data | Parameters | Notes | |
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| | | |:--------------------------------------------------------------------------------------------------:|:--------------:|:-------------------:|:----------:|:------| |
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| | | | [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 | |
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