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❓ Questions and Help
Before asking:
- search the issues.
- search the docs.
What is your question?
Code
What have you tried?
Applause : F1 = 0.5455
Breath : F1 = 0.7879
Cough : F1 = 0.7632
Cry : F1 = 0.7500
Laughter : F1 = 0.7097
Sneeze : F1 = 0.0488
40个sneezing样本中绝大部分识别为speech,少部分识别为cough,仅有一个正确识别为sneeze。另外各个类别均有部分样本被识别为Event_UNK,不知是否有类似于SER中ban_emo_unk的参数可以使用?
What's your environment?
- OS (e.g., Linux):
- FunASR Version (e.g., 1.0.0):
- ModelScope Version (e.g., 1.11.0):
- PyTorch Version (e.g., 2.0.0):
- How you installed funasr (
pip
, source): - Python version:
- GPU (e.g., V100M32)
- CUDA/cuDNN version (e.g., cuda11.7):
- Docker version (e.g., funasr-runtime-sdk-cpu-0.4.1)
- Any other relevant information:
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