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| | | # Paraformer-Large |
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| | | - Model link: <https://www.modelscope.cn/models/NPU-ASLP/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950/summary> |
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| | | - Model size: 45M |
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| | | |
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| | | # Environments |
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| | | - date: `Tue Feb 13 20:13:22 CST 2023` |
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| | | - python version: `3.7.12` |
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| | | - FunASR version: `0.1.0` |
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| | | - pytorch version: `pytorch 1.7.0` |
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| | | - Git hash: `` |
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| | | - Commit date: `` |
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| | | |
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| | | # Beachmark Results |
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| | | |
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| | | ## result (paper) |
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| | | beam=20，CER tool：https://github.com/yufan-aslp/AliMeeting |
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| | | | model | Para (M) | Data (hrs) | Eval (CER%) | Test (CER%) | |
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| | | |:-------------------:|:---------:|:---------:|:---------:| :---------:| |
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| | | | MFCCA | 45 | 917 | 16.1 | 17.5 | |
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| | | |
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| | | ## result（modelscope） |
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| | | |
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| | | beam=10 |
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| | | |
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| | | with separating character (src) |
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| | | | model | Para (M) | Data (hrs) | Eval_sp (CER%) | Test_sp (CER%) | |
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| | | |:-------------------:|:---------:|:---------:|:---------:| :---------:| |
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| | | | MFCCA | 45 | 917 | 17.1 | 18.6 | |
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| | | |
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| | | without separating character (src) |
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| | | | model | Para (M) | Data (hrs) | Eval_nosp (CER%) | Test_nosp (CER%) | |
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| | | |:-------------------:|:---------:|:---------:|:---------:| :---------:| |
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| | | | MFCCA | 45 | 917 | 16.4 | 18.0 | |
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| | | |
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| | | ## 偏差 |
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| | | |
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| | | Considering the differences of the CER calculation tool and decoding beam size, the results of CER are biased (<0.5%). |
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