Paraformer-Large
Model link: https://www.modelscope.cn/models/NPU-ASLP/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%).