Hui Zhang
4 years ago
parent
b882ba5000
commit
75c8018eab
@ -0,0 +1,146 @@
|
|||||||
|
"""Prepare Librispeech ASR datasets.
|
||||||
|
|
||||||
|
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.
|
||||||
|
"""
|
||||||
|
|
||||||
|
import distutils.util
|
||||||
|
import os
|
||||||
|
import sys
|
||||||
|
import argparse
|
||||||
|
import soundfile
|
||||||
|
import json
|
||||||
|
import codecs
|
||||||
|
import io
|
||||||
|
from data_utils.utility import download, unpack
|
||||||
|
|
||||||
|
URL_ROOT = "http://www.openslr.org/resources/12"
|
||||||
|
URL_ROOT = "https://openslr.magicdatatech.com/resources/12"
|
||||||
|
URL_TEST_CLEAN = URL_ROOT + "/test-clean.tar.gz"
|
||||||
|
URL_TEST_OTHER = URL_ROOT + "/test-other.tar.gz"
|
||||||
|
URL_DEV_CLEAN = URL_ROOT + "/dev-clean.tar.gz"
|
||||||
|
URL_DEV_OTHER = URL_ROOT + "/dev-other.tar.gz"
|
||||||
|
URL_TRAIN_CLEAN_100 = URL_ROOT + "/train-clean-100.tar.gz"
|
||||||
|
URL_TRAIN_CLEAN_360 = URL_ROOT + "/train-clean-360.tar.gz"
|
||||||
|
URL_TRAIN_OTHER_500 = URL_ROOT + "/train-other-500.tar.gz"
|
||||||
|
|
||||||
|
MD5_TEST_CLEAN = "32fa31d27d2e1cad72775fee3f4849a9"
|
||||||
|
MD5_TEST_OTHER = "fb5a50374b501bb3bac4815ee91d3135"
|
||||||
|
MD5_DEV_CLEAN = "42e2234ba48799c1f50f24a7926300a1"
|
||||||
|
MD5_DEV_OTHER = "c8d0bcc9cca99d4f8b62fcc847357931"
|
||||||
|
MD5_TRAIN_CLEAN_100 = "2a93770f6d5c6c964bc36631d331a522"
|
||||||
|
MD5_TRAIN_CLEAN_360 = "c0e676e450a7ff2f54aeade5171606fa"
|
||||||
|
MD5_TRAIN_OTHER_500 = "d1a0fd59409feb2c614ce4d30c387708"
|
||||||
|
|
||||||
|
parser = argparse.ArgumentParser(description=__doc__)
|
||||||
|
parser.add_argument(
|
||||||
|
"--target_dir",
|
||||||
|
default='~/.cache/paddle/dataset/speech/libri',
|
||||||
|
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)")
|
||||||
|
parser.add_argument(
|
||||||
|
"--full_download",
|
||||||
|
default="True",
|
||||||
|
type=distutils.util.strtobool,
|
||||||
|
help="Download all datasets for Librispeech."
|
||||||
|
" If False, only download a minimal requirement (test-clean, dev-clean"
|
||||||
|
" train-clean-100). (default: %(default)s)")
|
||||||
|
args = parser.parse_args()
|
||||||
|
|
||||||
|
|
||||||
|
def create_manifest(data_dir, manifest_path):
|
||||||
|
"""Create a manifest json file summarizing the data set, with each line
|
||||||
|
containing the meta data (i.e. audio filepath, transcription text, audio
|
||||||
|
duration) of each audio file within the data set.
|
||||||
|
"""
|
||||||
|
print("Creating manifest %s ..." % manifest_path)
|
||||||
|
json_lines = []
|
||||||
|
for subfolder, _, filelist in sorted(os.walk(data_dir)):
|
||||||
|
text_filelist = [
|
||||||
|
filename for filename in filelist if filename.endswith('trans.txt')
|
||||||
|
]
|
||||||
|
if len(text_filelist) > 0:
|
||||||
|
text_filepath = os.path.join(subfolder, text_filelist[0])
|
||||||
|
for line in io.open(text_filepath, encoding="utf8"):
|
||||||
|
segments = line.strip().split()
|
||||||
|
text = ' '.join(segments[1:]).lower()
|
||||||
|
audio_filepath = os.path.join(subfolder, segments[0] + '.flac')
|
||||||
|
audio_data, samplerate = soundfile.read(audio_filepath)
|
||||||
|
duration = float(len(audio_data)) / samplerate
|
||||||
|
json_lines.append(
|
||||||
|
json.dumps({
|
||||||
|
'audio_filepath': audio_filepath,
|
||||||
|
'duration': duration,
|
||||||
|
'text': text
|
||||||
|
}))
|
||||||
|
with codecs.open(manifest_path, 'w', 'utf-8') as out_file:
|
||||||
|
for line in json_lines:
|
||||||
|
out_file.write(line + '\n')
|
||||||
|
|
||||||
|
|
||||||
|
def prepare_dataset(url, md5sum, target_dir, manifest_path):
|
||||||
|
"""Download, unpack and create summmary manifest file.
|
||||||
|
"""
|
||||||
|
if not os.path.exists(os.path.join(target_dir, "LibriSpeech")):
|
||||||
|
# download
|
||||||
|
filepath = download(url, md5sum, target_dir)
|
||||||
|
# unpack
|
||||||
|
unpack(filepath, target_dir)
|
||||||
|
else:
|
||||||
|
print("Skip downloading and unpacking. Data already exists in %s." %
|
||||||
|
target_dir)
|
||||||
|
# create manifest json file
|
||||||
|
create_manifest(target_dir, manifest_path)
|
||||||
|
|
||||||
|
|
||||||
|
def main():
|
||||||
|
if args.target_dir.startswith('~'):
|
||||||
|
args.target_dir = os.path.expanduser(args.target_dir)
|
||||||
|
|
||||||
|
prepare_dataset(
|
||||||
|
url=URL_TEST_CLEAN,
|
||||||
|
md5sum=MD5_TEST_CLEAN,
|
||||||
|
target_dir=os.path.join(args.target_dir, "test-clean"),
|
||||||
|
manifest_path=args.manifest_prefix + ".test-clean")
|
||||||
|
prepare_dataset(
|
||||||
|
url=URL_DEV_CLEAN,
|
||||||
|
md5sum=MD5_DEV_CLEAN,
|
||||||
|
target_dir=os.path.join(args.target_dir, "dev-clean"),
|
||||||
|
manifest_path=args.manifest_prefix + ".dev-clean")
|
||||||
|
if args.full_download:
|
||||||
|
prepare_dataset(
|
||||||
|
url=URL_TRAIN_CLEAN_100,
|
||||||
|
md5sum=MD5_TRAIN_CLEAN_100,
|
||||||
|
target_dir=os.path.join(args.target_dir, "train-clean-100"),
|
||||||
|
manifest_path=args.manifest_prefix + ".train-clean-100")
|
||||||
|
prepare_dataset(
|
||||||
|
url=URL_TEST_OTHER,
|
||||||
|
md5sum=MD5_TEST_OTHER,
|
||||||
|
target_dir=os.path.join(args.target_dir, "test-other"),
|
||||||
|
manifest_path=args.manifest_prefix + ".test-other")
|
||||||
|
prepare_dataset(
|
||||||
|
url=URL_DEV_OTHER,
|
||||||
|
md5sum=MD5_DEV_OTHER,
|
||||||
|
target_dir=os.path.join(args.target_dir, "dev-other"),
|
||||||
|
manifest_path=args.manifest_prefix + ".dev-other")
|
||||||
|
prepare_dataset(
|
||||||
|
url=URL_TRAIN_CLEAN_360,
|
||||||
|
md5sum=MD5_TRAIN_CLEAN_360,
|
||||||
|
target_dir=os.path.join(args.target_dir, "train-clean-360"),
|
||||||
|
manifest_path=args.manifest_prefix + ".train-clean-360")
|
||||||
|
prepare_dataset(
|
||||||
|
url=URL_TRAIN_OTHER_500,
|
||||||
|
md5sum=MD5_TRAIN_OTHER_500,
|
||||||
|
target_dir=os.path.join(args.target_dir, "train-other-500"),
|
||||||
|
manifest_path=args.manifest_prefix + ".train-other-500")
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == '__main__':
|
||||||
|
main()
|
||||||
@ -0,0 +1,4 @@
|
|||||||
|
# Tiny Example
|
||||||
|
|
||||||
|
1. `source path.sh`
|
||||||
|
2. `bash run.sh`
|
||||||
@ -0,0 +1,8 @@
|
|||||||
|
export MAIN_ROOT=${PWD}/../../
|
||||||
|
|
||||||
|
export PATH=${MAIN_ROOT}:${PWD}/tools:${PATH}
|
||||||
|
export LC_ALL=C
|
||||||
|
|
||||||
|
# Use UTF-8 in Python to avoid UnicodeDecodeError when LC_ALL=C
|
||||||
|
export PYTHONIOENCODING=UTF-8
|
||||||
|
export PYTHONPATH=${MAIN_ROOT}:${PYTHONPATH}
|
||||||
@ -0,0 +1,24 @@
|
|||||||
|
#!/bin/bash
|
||||||
|
|
||||||
|
source path.sh
|
||||||
|
|
||||||
|
# prepare data
|
||||||
|
bash ./local/run_data.sh
|
||||||
|
|
||||||
|
# test pretrain model
|
||||||
|
bash ./local/run_test_golden.sh
|
||||||
|
|
||||||
|
# test pretain model
|
||||||
|
bash ./local/run_infer_golden.sh
|
||||||
|
|
||||||
|
# train model
|
||||||
|
bash ./local/run_train.sh
|
||||||
|
|
||||||
|
# test model
|
||||||
|
bash ./local/run_test.sh
|
||||||
|
|
||||||
|
# infer model
|
||||||
|
bash ./local/run_infer.sh
|
||||||
|
|
||||||
|
# tune model
|
||||||
|
bash ./local/run_tune.sh
|
||||||
Loading…
Reference in new issue