FunASR/egs_modelscope/tp/speech_timestamp_prediction-v1-16k-offline

ModelScope Model

How to finetune and infer using a pretrained ModelScope Model

Inference

Or you can use the finetuned model for inference directly.

• Setting parameters in infer.py

  • audio_in: # support wav, url, bytes, and parsed audio format.
  • text_in: # support text, text url.
  • output_dir: # If the input format is wav.scp, it needs to be set.

• Then you can run the pipeline to infer with:

    python infer.py

Modify inference related parameters in vad.yaml.

• max_end_silence_time: The end-point silence duration to judge the end of sentence, the parameter range is 500ms~6000ms, and the default value is 800ms
• speech_noise_thres: The balance of speech and silence scores, the parameter range is (-1,1)
  • The value tends to -1, the greater probability of noise being judged as speech
  • The value tends to 1, the greater probability of speech being judged as noise