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%).