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PaddleSpeech/dataset/rir_noise/rir_noise.py

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