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114 lines
4.8 KiB
114 lines
4.8 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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# Copyright 2021 Xiaomi Corporation (Author: Yongqing Wang)
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# Mobvoi Inc(Author: Di Wu, Binbin Zhang)
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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 argparse
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import json
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import os
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import sys
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def get_args():
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parser = argparse.ArgumentParser(description="""
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This script is used to process raw json dataset of WenetSpeech,
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where the long wav is splitinto segments and
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data of wenet format is generated.
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""")
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parser.add_argument('input_json', help="""Input json file of WenetSpeech""")
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parser.add_argument('output_dir', help="""Output dir for prepared data""")
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args = parser.parse_args()
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return args
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def meta_analysis(input_json, output_dir):
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input_dir = os.path.dirname(input_json)
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if not os.path.exists(output_dir):
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os.makedirs(output_dir)
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try:
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with open(input_json, 'r') as injson:
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json_data = json.load(injson)
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except Exception:
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sys.exit(f'Failed to load input json file: {input_json}')
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else:
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if json_data['audios'] is not None:
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with open(f'{output_dir}/text', 'w') as utt2text, \
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open(f'{output_dir}/segments', 'w') as segments, \
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open(f'{output_dir}/utt2dur', 'w') as utt2dur, \
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open(f'{output_dir}/wav.scp', 'w') as wavscp, \
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open(f'{output_dir}/utt2subsets', 'w') as utt2subsets, \
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open(f'{output_dir}/reco2dur', 'w') as reco2dur:
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for long_audio in json_data['audios']:
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try:
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long_audio_path = os.path.realpath(
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os.path.join(input_dir, long_audio['path']))
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aid = long_audio['aid']
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segments_lists = long_audio['segments']
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duration = long_audio['duration']
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assert (os.path.exists(long_audio_path))
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except AssertionError:
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print(f'''Warning: {aid} something is wrong,
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maybe AssertionError, skipped''')
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continue
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except Exception:
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print(f'''Warning: {aid} something is wrong, maybe the
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error path: {long_audio_path}, skipped''')
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continue
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else:
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wavscp.write(f'{aid}\t{long_audio_path}\n')
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reco2dur.write(f'{aid}\t{duration}\n')
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for segment_file in segments_lists:
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try:
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sid = segment_file['sid']
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start_time = segment_file['begin_time']
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end_time = segment_file['end_time']
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dur = end_time - start_time
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text = segment_file['text']
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segment_subsets = segment_file["subsets"]
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except Exception:
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print(f'''Warning: {segment_file} something
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is wrong, skipped''')
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continue
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else:
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utt2text.write(f'{sid}\t{text}\n')
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segments.write(
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f'{sid}\t{aid}\t{start_time}\t{end_time}\n')
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utt2dur.write(f'{sid}\t{dur}\n')
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segment_sub_names = " ".join(segment_subsets)
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utt2subsets.write(
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f'{sid}\t{segment_sub_names}\n')
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def main():
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args = get_args()
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meta_analysis(args.input_json, args.output_dir)
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if __name__ == '__main__':
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main()
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