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42 lines
1.4 KiB
42 lines
1.4 KiB
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import paddle
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def get_chunks(seg_dur, audio_id, audio_duration):
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"""Get all chunk segments from a utterance
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Args:
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seg_dur (float): segment chunk duration, seconds
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audio_id (str): utterance name,
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audio_duration (float): utterance duration, seconds
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Returns:
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List: all the chunk segments
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"""
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num_chunks = int(audio_duration / seg_dur) # all in seconds
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chunk_lst = [
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audio_id + "_" + str(i * seg_dur) + "_" + str(i * seg_dur + seg_dur)
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for i in range(num_chunks)
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]
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return chunk_lst
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def Q_from_tokens(token_num):
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"""Get prior model, data from uniform, would support others(guassian) in future
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"""
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freq = [1] * token_num
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Q = paddle.to_tensor(freq, dtype='float64')
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return Q / Q.sum()
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