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| | | # Pretrained models |
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| | | # Pretrained Models on ModelScope |
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| | | ## Model License |
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| | | - Apache License 2.0 |
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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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| | | ### Speaker diarization Models |
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| | | ### Speaker Diarization Models |
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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 (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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| | | ### Timestamp Prediction Models |
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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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