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73 lines
2.6 KiB
73 lines
2.6 KiB
# 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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"""Script to reorganize LJSpeech-1.1 dataset so as to use Montreal Force
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Aligner to align transcription and audio.
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Please refer to https://montreal-forced-aligner.readthedocs.io/en/latest/data_prep.html
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for more details about Montreal Force Aligner's requirements on cotpus.
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For scripts to reorganize other corpus, please refer to
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https://github.com/MontrealCorpusTools/MFA-reorganization-scripts
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for more details.
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"""
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import argparse
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import os
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from pathlib import Path
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from typing import Union
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def link_wav(root_dir: Union[str, Path], output_dir: Union[str, Path]):
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wav_dir = root_dir / 'wavs'
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for spk_dir in os.listdir(wav_dir):
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sub_dir = wav_dir / spk_dir
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new_sub_dir = output_dir / spk_dir
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os.symlink(sub_dir, new_sub_dir)
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def write_lab(root_dir: Union[str, Path], output_dir: Union[str, Path]):
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text_path = root_dir / 'metadata.csv'
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with open(text_path, 'r') as rf:
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for line in rf:
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line_list = line.strip().split('|')
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utt = line_list[0]
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raw_text = line_list[-1]
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transcript_name = utt + '.lab'
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transcript_path = output_dir / transcript_name
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with open(transcript_path, 'w') as wf:
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wf.write(raw_text + '\n')
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def reorganize_ljspeech(root_dir: Union[str, Path],
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output_dir: Union[str, Path]):
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link_wav(root_dir, output_dir)
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write_lab(root_dir, output_dir)
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(
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description="Reorganize LJSpeech-1.1 dataset for MFA")
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parser.add_argument(
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"--root-dir", type=str, help="path to LJSpeech-1.1 dataset.")
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parser.add_argument(
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"--output-dir",
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type=str,
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help="path to save outputs (audio and transcriptions)")
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args = parser.parse_args()
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root_dir = Path(args.root_dir).expanduser()
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output_dir = Path(args.output_dir).expanduser()
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output_dir.mkdir(parents=True, exist_ok=True)
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reorganize_ljspeech(root_dir, output_dir)
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