You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
224 lines
8.0 KiB
224 lines
8.0 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 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
|
|
import subprocess
|
|
from pathlib import Path
|
|
|
|
import soundfile
|
|
|
|
from paddlespeech.dataset.download import check_md5sum
|
|
from paddlespeech.dataset.download import download
|
|
from paddlespeech.dataset.download 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_LIST = {
|
|
"vox2_dev_aac_partaa": "da070494c573e5c0564b1d11c3b20577",
|
|
"vox2_dev_aac_partab": "17fe6dab2b32b48abaf1676429cdd06f",
|
|
"vox2_dev_aac_partac": "1de58e086c5edf63625af1cb6d831528",
|
|
"vox2_dev_aac_partad": "5a043eb03e15c5a918ee6a52aad477f9",
|
|
"vox2_dev_aac_partae": "cea401b624983e2d0b2a87fb5d59aa60",
|
|
"vox2_dev_aac_partaf": "fc886d9ba90ab88e7880ee98effd6ae9",
|
|
"vox2_dev_aac_partag": "d160ecc3f6ee3eed54d55349531cb42e",
|
|
"vox2_dev_aac_partah": "6b84a81b9af72a9d9eecbb3b1f602e65",
|
|
}
|
|
|
|
DEV_TARGET_DATA = "vox2_dev_aac_parta* vox2_dev_aac.zip bbc063c46078a602ca71605645c2a402"
|
|
|
|
# test data
|
|
TEST_LIST = {"vox2_test_aac.zip": "0d2b3ea430a821c33263b5ea37ede312"}
|
|
TEST_TARGET_DATA = "vox2_test_aac.zip vox2_test_aac.zip 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):
|
|
"""Generate the voxceleb2 dataset manifest file.
|
|
We will create the ${manifest_path_prefix}.vox2 as the final manifest file
|
|
The dev and test wav info will be put in one manifest file.
|
|
|
|
Args:
|
|
data_dir (str): voxceleb2 wav directory, which include dev and test subdataset
|
|
manifest_path_prefix (str): manifest file 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(base_url, data_list, target_data, target_dir, dataset):
|
|
"""Download the voxceleb2 zip package
|
|
|
|
Args:
|
|
base_url (str): the voxceleb2 dataset download baseline url
|
|
data_list (dict): the dataset part zip package and the md5 value
|
|
target_data (str): the final dataset zip info
|
|
target_dir (str): the dataset stored directory
|
|
dataset (str): the dataset name, dev or test
|
|
|
|
Raises:
|
|
RuntimeError: the md5sum occurs error
|
|
"""
|
|
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)):
|
|
print(f"start to download the vox2 zip package to {target_dir}")
|
|
for zip_part in data_list.keys():
|
|
download_url = " --no-check-certificate " + base_url + "/" + zip_part
|
|
download(
|
|
url=download_url,
|
|
md5sum=data_list[zip_part],
|
|
target_dir=target_dir)
|
|
|
|
# pack the all part to target zip file
|
|
all_target_part, target_name, target_md5sum = target_data.split()
|
|
target_name = os.path.join(target_dir, target_name)
|
|
if not os.path.exists(target_name):
|
|
pack_part_cmd = "cat {}/{} > {}".format(target_dir, all_target_part,
|
|
target_name)
|
|
subprocess.call(pack_part_cmd, shell=True)
|
|
|
|
# check the target zip file md5sum
|
|
if not check_md5sum(target_name, target_md5sum):
|
|
raise RuntimeError("{} MD5 checkssum failed".format(target_name))
|
|
else:
|
|
print("Check {} md5sum successfully".format(target_name))
|
|
|
|
if dataset == "test":
|
|
# we need make the test directory
|
|
unzip(target_name, os.path.join(target_dir, "test"))
|
|
else:
|
|
# upzip dev zip pacakge and will create the dev directory
|
|
unzip(target_name, target_dir)
|
|
|
|
|
|
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(
|
|
base_url=BASE_URL,
|
|
data_list=DEV_LIST,
|
|
target_data=DEV_TARGET_DATA,
|
|
target_dir=args.target_dir,
|
|
dataset="dev")
|
|
|
|
download_dataset(
|
|
base_url=BASE_URL,
|
|
data_list=TEST_LIST,
|
|
target_data=TEST_TARGET_DATA,
|
|
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()
|