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| | | # ModelScope Model |
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| | | ## How to finetune and infer using a pretrained ModelScope Model |
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| | | ### Inference |
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| | | Or you can use the finetuned model for inference directly. |
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| | | - Setting parameters in `infer.py` |
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| | | - <strong>audio_in:</strong> # support wav, url, bytes, and parsed audio format. |
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| | | - <strong>text_in:</strong> # support text, text url. |
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| | | - <strong>output_dir:</strong> # If the input format is wav.scp, it needs to be set. |
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| | | |
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| | | - Then you can run the pipeline to infer with: |
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| | | ```python |
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| | | python infer.py |
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| | | ``` |
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| | | Modify inference related parameters in vad.yaml. |
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| | | - 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 |
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| | | - speech_noise_thres: The balance of speech and silence scores, the parameter range is (-1,1) |
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| | | - The value tends to -1, the greater probability of noise being judged as speech |
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| | | - The value tends to 1, the greater probability of speech being judged as noise |
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