57 lines
2.1 KiB
Python
57 lines
2.1 KiB
Python
# Copyright (c) 2021 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 numpy as np
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import paddle
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from parakeet.data.batch import batch_sequences
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def collate_baker_examples(examples):
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# fields = ["text", "text_lengths", "speech", "speech_lengths", "durations", "pitch", "energy"]
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text = [np.array(item["text"], dtype=np.int64) for item in examples]
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speech = [np.array(item["speech"], dtype=np.float32) for item in examples]
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pitch = [np.array(item["pitch"], dtype=np.float32) for item in examples]
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energy = [np.array(item["energy"], dtype=np.float32) for item in examples]
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durations = [
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np.array(item["durations"], dtype=np.int64) for item in examples
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]
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text_lengths = np.array([item["text_lengths"] for item in examples])
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speech_lengths = np.array([item["speech_lengths"] for item in examples])
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text = batch_sequences(text)
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pitch = batch_sequences(pitch)
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speech = batch_sequences(speech)
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durations = batch_sequences(durations)
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energy = batch_sequences(energy)
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# convert each batch to paddle.Tensor
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text = paddle.to_tensor(text)
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pitch = paddle.to_tensor(pitch)
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speech = paddle.to_tensor(speech)
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durations = paddle.to_tensor(durations)
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energy = paddle.to_tensor(energy)
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text_lengths = paddle.to_tensor(text_lengths)
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speech_lengths = paddle.to_tensor(speech_lengths)
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batch = {
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"text": text,
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"text_lengths": text_lengths,
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"durations": durations,
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"speech": speech,
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"speech_lengths": speech_lengths,
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"pitch": pitch,
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"energy": energy
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}
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return batch
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