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#
# Licensed under the Apache License, Version 2.0 (the "License");
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#
# http://www.apache.org/licenses/LICENSE-2.0
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import paddle
[docs]def get_chunks(seg_dur, audio_id, audio_duration):
"""Get all chunk segments from a utterance
Args:
seg_dur (float): segment chunk duration, seconds
audio_id (str): utterance name,
audio_duration (float): utterance duration, seconds
Returns:
List: all the chunk segments
"""
num_chunks = int(audio_duration / seg_dur) # all in seconds
chunk_lst = [
audio_id + "_" + str(i * seg_dur) + "_" + str(i * seg_dur + seg_dur)
for i in range(num_chunks)
]
return chunk_lst
[docs]def Q_from_tokens(token_num):
"""Get prior model, data from uniform, would support others(guassian) in future
"""
freq = [1] * token_num
Q = paddle.to_tensor(freq, dtype='float64')
return Q / Q.sum()