游雁
2023-02-13 fcc9c89eaba9a4e36c54958aeedeec7ab3756cd7
funasr/datasets/large_datasets/utils/filter.py
@@ -2,14 +2,25 @@
def filter(data,
           min_length=10,
           max_length=10000,
           min_token_length=0,
           max_token_length=200):
    assert "speech" in data
    assert "text" in data
           speech_length_min=100,
           speech_length_max=15000,
           token_length_min=0,
           token_length_max=200):
    assert "speech" in data or "text" in data
    num_frames = data["speech"].shape[0]
    num_tokens = len(data['text'])
    return min_length < num_frames < max_length and min_token_length < num_tokens < max_token_length
    if "speech" in data and "text" in data:
        if "sampling_rate" in data:
            speech_length = (data["speech"].shape[0] / data["sampling_rate"]) * 1000.
        else:
            speech_length = data["speech"].shape[0]
        num_tokens = len(data['text'])
        return speech_length_min < speech_length < speech_length_max and token_length_min < num_tokens < token_length_max
    elif "speech" in data:
        if "sampling_rate" in data:
            speech_length = (data["speech"].shape[0] / data["sampling_rate"]) * 1000.
        else:
            speech_length = data["speech"].shape[0]
        return speech_length_min < speech_length < speech_length_max
    else:
        num_tokens = len(data['text'])
        return token_length_min < num_tokens < token_length_max