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PaddleSpeech/examples/other/mfa/local/reorganize_aishell3.py

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3.5 KiB

# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Script to reorganize AISHELL-3 dataset so as to use Montreal Force
Aligner to align transcription and audio.
Please refer to https://montreal-forced-aligner.readthedocs.io/en/latest/data_prep.html
for more details about Montreal Force Aligner's requirements on cotpus.
For scripts to reorganize other corpus, please refer to
https://github.com/MontrealCorpusTools/MFA-reorganization-scripts
for more details.
"""
import argparse
import os
from pathlib import Path
from typing import Union
def link_wav(root_dir: Union[str, Path], output_dir: Union[str, Path]):
for sub_set in {'train', 'test'}:
wav_dir = root_dir / sub_set / 'wav'
new_dir = output_dir / sub_set
new_dir.mkdir(parents=True, exist_ok=True)
for spk_dir in os.listdir(wav_dir):
sub_dir = wav_dir / spk_dir
new_sub_dir = new_dir / spk_dir
os.symlink(sub_dir, new_sub_dir)
def write_lab(root_dir: Union[str, Path],
output_dir: Union[str, Path],
script_type='pinyin'):
for sub_set in {'train', 'test'}:
text_path = root_dir / sub_set / 'content.txt'
new_dir = output_dir / sub_set
with open(text_path, 'r') as rf:
for line in rf:
wav_id, context = line.strip().split('\t')
spk_id = wav_id[:7]
transcript_name = wav_id.split('.')[0] + '.lab'
transcript_path = new_dir / spk_id / transcript_name
context_list = context.split()
word_list = context_list[0:-1:2]
pinyin_list = context_list[1::2]
wf = open(transcript_path, 'w')
if script_type == 'word':
# add space between chinese char
new_context = ' '.join(word_list)
elif script_type == 'pinyin':
new_context = ' '.join(pinyin_list)
wf.write(new_context + '\n')
def reorganize_aishell3(root_dir: Union[str, Path],
output_dir: Union[str, Path],
script_type='pinyin'):
output_dir.mkdir(parents=True, exist_ok=True)
link_wav(root_dir, output_dir)
write_lab(root_dir, output_dir, script_type)
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description="Reorganize AISHELL-3 dataset for MFA")
parser.add_argument(
"--root-dir", type=str, default="", help="path to AISHELL-3 dataset.")
parser.add_argument(
"--output-dir",
type=str,
help="path to save outputs (audio and transcriptions)")
parser.add_argument(
"--script-type",
type=str,
default="pinyin",
help="type of lab ('word'/'pinyin')")
args = parser.parse_args()
root_dir = Path(args.root_dir).expanduser()
output_dir = Path(args.output_dir).expanduser()
output_dir.mkdir(parents=True, exist_ok=True)
reorganize_aishell3(root_dir, output_dir, args.script_type)