mirror of
https://github.com/modelscope/FunASR
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1.2 KiB
1.2 KiB
Paraformer-Large
- Model link: https://www.modelscope.cn/models/yufan6/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950/summary
- Model size: 45M
Environments
- date:
Tue Feb 13 20:13:22 CST 2023 - python version:
3.7.12 - FunASR version:
0.1.0 - pytorch version:
pytorch 1.7.0 - Git hash: ``
- Commit date: ``
Beachmark Results
result (paper)
beam=20，CER tool：https://github.com/yufan-aslp/AliMeeting
| model | Para (M) | Data (hrs) | Eval (CER%) | Test (CER%) |
|---|---|---|---|---|
| MFCCA | 45 | 917 | 16.1 | 17.5 |
result（modelscope）
beam=10
with separating character (src)
| model | Para (M) | Data (hrs) | Eval_sp (CER%) | Test_sp (CER%) |
|---|---|---|---|---|
| MFCCA | 45 | 917 | 17.1 | 18.6 |
without separating character (src)
| model | Para (M) | Data (hrs) | Eval_nosp (CER%) | Test_nosp (CER%) |
|---|---|---|---|---|
| MFCCA | 45 | 917 | 16.4 | 18.0 |
偏差
Considering the differences of the CER calculation tool and decoding beam size, the results of CER are biased (<0.5%).