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118 lines
4.0 KiB
118 lines
4.0 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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"""Prepare Aishell mandarin dataset
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Download, unpack and create manifest files.
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Manifest file is a json-format file with each line containing the
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meta data (i.e. audio filepath, transcript and audio duration)
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of each audio file in the data set.
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"""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import argparse
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import codecs
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import json
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import os
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import soundfile
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from paddlespeech.dataset.download import download
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from paddlespeech.dataset.download import unzip
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DATA_HOME = os.path.expanduser('~/.cache/paddle/dataset/speech')
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URL_ROOT = '--no-check-certificate https://us.openslr.org/resources/28/rirs_noises.zip'
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DATA_URL = URL_ROOT + '/rirs_noises.zip'
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MD5_DATA = 'e6f48e257286e05de56413b4779d8ffb'
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parser = argparse.ArgumentParser(description=__doc__)
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parser.add_argument(
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"--target_dir",
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default=DATA_HOME + "/rirs_noise",
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type=str,
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help="Directory to save the dataset. (default: %(default)s)")
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parser.add_argument(
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"--manifest_prefix",
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default="manifest",
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type=str,
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help="Filepath prefix for output manifests. (default: %(default)s)")
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args = parser.parse_args()
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def create_manifest(data_dir, manifest_path_prefix):
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print("Creating manifest %s ..." % manifest_path_prefix)
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json_lines = []
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data_types = [
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'pointsource_noises', 'real_rirs_isotropic_noises', 'simulated_rirs'
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]
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for dtype in data_types:
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del json_lines[:]
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audio_dir = os.path.join(data_dir, dtype)
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for subfolder, _, filelist in sorted(os.walk(audio_dir)):
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for fname in filelist:
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audio_path = os.path.join(subfolder, fname)
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if not audio_path.endswith('.wav'):
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continue
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audio_data, samplerate = soundfile.read(audio_path)
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duration = float(len(audio_data) / samplerate)
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json_lines.append(
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json.dumps(
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{
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'utt':
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os.path.splitext(os.path.basename(audio_path))[0],
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'feat':
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audio_path,
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'feat_shape': (duration, ), #second
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'type':
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dtype,
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},
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ensure_ascii=False))
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manifest_path = manifest_path_prefix + '.' + dtype
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if not os.path.exists(os.path.dirname(manifest_path)):
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os.makedirs(os.path.dirname(manifest_path))
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with codecs.open(manifest_path, 'w', 'utf-8') as fout:
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for line in json_lines:
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fout.write(line + '\n')
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def prepare_dataset(url, md5sum, target_dir, manifest_path):
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"""Download, unzip and create manifest file."""
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data_dir = os.path.join(target_dir, 'RIRS_NOISES')
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if not os.path.exists(data_dir):
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filepath = download(url, md5sum, target_dir)
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unzip(filepath, target_dir)
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else:
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print("Skip downloading and unpacking. Data already exists in %s." %
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target_dir)
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create_manifest(data_dir, manifest_path)
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def main():
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if args.target_dir.startswith('~'):
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args.target_dir = os.path.expanduser(args.target_dir)
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prepare_dataset(
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url=DATA_URL,
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md5sum=MD5_DATA,
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target_dir=args.target_dir,
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manifest_path=args.manifest_prefix)
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if __name__ == '__main__':
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main()
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