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PaddleSpeech/dataset/voxceleb/voxceleb2.py

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5.4 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 VoxCeleb2 dataset
Download and unpack the voxceleb2 data files.
Voxceleb2 data is stored as the m4a format,
so we need convert the m4a to wav with the convert.sh scripts
"""
import argparse
import codecs
import glob
import json
import os
from pathlib import Path
import soundfile
from utils.utility import download
from utils.utility import unzip
# all the data will be download in the current data/voxceleb directory default
DATA_HOME = os.path.expanduser('.')
BASE_URL = "--no-check-certificate https://www.robots.ox.ac.uk/~vgg/data/voxceleb/data/"
# dev data
DEV_DATA_URL = BASE_URL + '/vox2_aac.zip'
DEV_MD5SUM = "bbc063c46078a602ca71605645c2a402"
# test data
TEST_DATA_URL = BASE_URL + '/vox2_test_aac.zip'
TEST_MD5SUM = "0d2b3ea430a821c33263b5ea37ede312"
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument(
"--target_dir",
default=DATA_HOME + "/voxceleb2/",
type=str,
help="Directory to save the voxceleb1 dataset. (default: %(default)s)")
parser.add_argument(
"--manifest_prefix",
default="manifest",
type=str,
help="Filepath prefix for output manifests. (default: %(default)s)")
parser.add_argument(
"--download",
default=False,
action="store_true",
help="Download the voxceleb2 dataset. (default: %(default)s)")
parser.add_argument(
"--generate",
default=False,
action="store_true",
help="Generate the manifest files. (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_path = os.path.join(data_dir, "**", "*.wav")
total_sec = 0.0
total_text = 0.0
total_num = 0
speakers = set()
for audio_path in glob.glob(data_path, recursive=True):
audio_id = "-".join(audio_path.split("/")[-3:])
utt2spk = audio_path.split("/")[-3]
duration = soundfile.info(audio_path).duration
text = ""
json_lines.append(
json.dumps(
{
"utt": audio_id,
"utt2spk": str(utt2spk),
"feat": audio_path,
"feat_shape": (duration, ),
"text": text # compatible with asr data format
},
ensure_ascii=False))
total_sec += duration
total_text += len(text)
total_num += 1
speakers.add(utt2spk)
# data_dir_name refer to dev or test
# voxceleb2 is given explicit in the path
data_dir_name = Path(data_dir).name
manifest_path_prefix = manifest_path_prefix + "." + data_dir_name
if not os.path.exists(os.path.dirname(manifest_path_prefix)):
os.makedirs(os.path.dirname(manifest_path_prefix))
with codecs.open(manifest_path_prefix, 'w', encoding='utf-8') as f:
for line in json_lines:
f.write(line + "\n")
manifest_dir = os.path.dirname(manifest_path_prefix)
meta_path = os.path.join(manifest_dir, "voxceleb2." +
data_dir_name) + ".meta"
with codecs.open(meta_path, 'w', encoding='utf-8') as f:
print(f"{total_num} utts", file=f)
print(f"{len(speakers)} speakers", file=f)
print(f"{total_sec / (60 * 60)} h", file=f)
print(f"{total_text} text", file=f)
print(f"{total_text / total_sec} text/sec", file=f)
print(f"{total_sec / total_num} sec/utt", file=f)
def download_dataset(url, md5sum, target_dir, dataset):
if not os.path.exists(target_dir):
os.makedirs(target_dir)
# wav directory already exists, it need do nothing
print("target dir {}".format(os.path.join(target_dir, dataset)))
# unzip the dev dataset will create the dev and unzip the m4a to dev dir
# but the test dataset will unzip to aac
# so, wo create the ${target_dir}/test and unzip the m4a to test dir
if not os.path.exists(os.path.join(target_dir, dataset)):
filepath = download(url, md5sum, target_dir)
if dataset == "test":
unzip(filepath, os.path.join(target_dir, "test"))
def main():
if args.target_dir.startswith('~'):
args.target_dir = os.path.expanduser(args.target_dir)
# download and unpack the vox2-dev data
print("download: {}".format(args.download))
if args.download:
download_dataset(
url=DEV_DATA_URL,
md5sum=DEV_MD5SUM,
target_dir=args.target_dir,
dataset="dev")
download_dataset(
url=TEST_DATA_URL,
md5sum=TEST_MD5SUM,
target_dir=args.target_dir,
dataset="test")
print("VoxCeleb2 download is done!")
if args.generate:
create_manifest(
args.target_dir, manifest_path_prefix=args.manifest_prefix)
if __name__ == '__main__':
main()