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152 lines
5.2 KiB
152 lines
5.2 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 aidatatang_200zh 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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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 utils.utility import download
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from utils.utility import unpack
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DATA_HOME = os.path.expanduser('~/.cache/paddle/dataset/speech')
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URL_ROOT = 'http://www.openslr.org/resources/62'
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# URL_ROOT = 'https://openslr.magicdatatech.com/resources/62'
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DATA_URL = URL_ROOT + '/aidatatang_200zh.tgz'
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MD5_DATA = '6e0f4f39cd5f667a7ee53c397c8d0949'
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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 + "/aidatatang_200zh",
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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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transcript_path = os.path.join(data_dir, 'transcript',
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'aidatatang_200_zh_transcript.txt')
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transcript_dict = {}
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for line in codecs.open(transcript_path, 'r', 'utf-8'):
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line = line.strip()
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if line == '':
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continue
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audio_id, text = line.split(' ', 1)
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# remove withespace, charactor text
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text = ''.join(text.split())
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transcript_dict[audio_id] = text
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data_types = ['train', 'dev', 'test']
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for dtype in data_types:
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del json_lines[:]
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total_sec = 0.0
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total_text = 0.0
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total_num = 0
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audio_dir = os.path.join(data_dir, 'corpus/', 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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if not fname.endswith('.wav'):
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continue
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audio_path = os.path.abspath(os.path.join(subfolder, fname))
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audio_id = os.path.basename(fname)[:-4]
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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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text = transcript_dict[audio_id]
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json_lines.append(
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json.dumps(
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{
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'utt': audio_id,
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'feat': audio_path,
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'feat_shape': (duration, ), # second
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'text': text,
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},
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ensure_ascii=False))
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total_sec += duration
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total_text += len(text)
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total_num += 1
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manifest_path = manifest_path_prefix + '.' + dtype
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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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with open(dtype + '.meta', 'w') as f:
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print(f"{dtype}:", file=f)
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print(f"{total_num} utts", file=f)
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print(f"{total_sec / (60*60)} h", file=f)
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print(f"{total_text} text", file=f)
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print(f"{total_text / total_sec} text/sec", file=f)
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print(f"{total_sec / total_num} sec/utt", file=f)
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def prepare_dataset(url, md5sum, target_dir, manifest_path, subset):
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"""Download, unpack and create manifest file."""
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data_dir = os.path.join(target_dir, subset)
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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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unpack(filepath, target_dir)
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# unpack all audio tar files
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audio_dir = os.path.join(data_dir, 'corpus')
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for subfolder, dirlist, filelist in sorted(os.walk(audio_dir)):
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for sub in dirlist:
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print(f"unpack dir {sub}...")
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for folder, _, filelist in sorted(
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os.walk(os.path.join(subfolder, sub))):
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for ftar in filelist:
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unpack(os.path.join(folder, ftar), folder, True)
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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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subset='aidatatang_200zh')
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print("Data download and manifest prepare done!")
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if __name__ == '__main__':
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main()
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