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40 lines
1.4 KiB
40 lines
1.4 KiB
# Copyright (c) 2020 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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from pathlib import Path
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from paddle.io import Dataset
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__all__ = ["LJSpeechMetaData"]
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class LJSpeechMetaData(Dataset):
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def __init__(self, root):
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self.root = Path(root).expanduser()
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wav_dir = self.root / "wavs"
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csv_path = self.root / "metadata.csv"
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records = []
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speaker_name = "ljspeech"
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with open(str(csv_path), 'rt', encoding='utf-8') as f:
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for line in f:
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filename, _, normalized_text = line.strip().split("|")
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filename = str(wav_dir / (filename + ".wav"))
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records.append([filename, normalized_text, speaker_name])
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self.records = records
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def __getitem__(self, i):
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return self.records[i]
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def __len__(self):
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return len(self.records)
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