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.
240 lines
7.2 KiB
240 lines
7.2 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 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 argparse
|
|
import codecs
|
|
import json
|
|
import os
|
|
import re
|
|
import string
|
|
from pathlib import Path
|
|
|
|
import soundfile
|
|
|
|
from utils.utility import unzip
|
|
|
|
URL_ROOT = ""
|
|
MD5_DATA = "45c68037c7fdfe063a43c851f181fb2d"
|
|
|
|
parser = argparse.ArgumentParser(description=__doc__)
|
|
parser.add_argument(
|
|
"--target_dir",
|
|
default='~/.cache/paddle/dataset/speech/timit',
|
|
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()
|
|
|
|
#: A string containing Chinese punctuation marks (non-stops).
|
|
non_stops = (
|
|
# Fullwidth ASCII variants
|
|
'\uFF02\uFF03\uFF04\uFF05\uFF06\uFF07\uFF08\uFF09\uFF0A\uFF0B\uFF0C\uFF0D'
|
|
'\uFF0F\uFF1A\uFF1B\uFF1C\uFF1D\uFF1E\uFF20\uFF3B\uFF3C\uFF3D\uFF3E\uFF3F'
|
|
'\uFF40\uFF5B\uFF5C\uFF5D\uFF5E\uFF5F\uFF60'
|
|
|
|
# Halfwidth CJK punctuation
|
|
'\uFF62\uFF63\uFF64'
|
|
|
|
# CJK symbols and punctuation
|
|
'\u3000\u3001\u3003'
|
|
|
|
# CJK angle and corner brackets
|
|
'\u3008\u3009\u300A\u300B\u300C\u300D\u300E\u300F\u3010\u3011'
|
|
|
|
# CJK brackets and symbols/punctuation
|
|
'\u3014\u3015\u3016\u3017\u3018\u3019\u301A\u301B\u301C\u301D\u301E\u301F'
|
|
|
|
# Other CJK symbols
|
|
'\u3030'
|
|
|
|
# Special CJK indicators
|
|
'\u303E\u303F'
|
|
|
|
# Dashes
|
|
'\u2013\u2014'
|
|
|
|
# Quotation marks and apostrophe
|
|
'\u2018\u2019\u201B\u201C\u201D\u201E\u201F'
|
|
|
|
# General punctuation
|
|
'\u2026\u2027'
|
|
|
|
# Overscores and underscores
|
|
'\uFE4F'
|
|
|
|
# Small form variants
|
|
'\uFE51\uFE54'
|
|
|
|
# Latin punctuation
|
|
'\u00B7')
|
|
|
|
#: A string of Chinese stops.
|
|
stops = (
|
|
'\uFF01' # Fullwidth exclamation mark
|
|
'\uFF1F' # Fullwidth question mark
|
|
'\uFF61' # Halfwidth ideographic full stop
|
|
'\u3002' # Ideographic full stop
|
|
)
|
|
|
|
#: A string containing all Chinese punctuation.
|
|
punctuation = non_stops + stops
|
|
|
|
|
|
def tn(text):
|
|
# lower text
|
|
text = text.lower()
|
|
# remove punc
|
|
text = re.sub(f'[{punctuation}{string.punctuation}]', "", text)
|
|
return text
|
|
|
|
|
|
def read_txt(filepath: str) -> str:
|
|
with open(filepath, 'r') as f:
|
|
line = f.read().strip().split(maxsplit=2)[2]
|
|
return tn(line)
|
|
|
|
|
|
def read_algin(filepath: str) -> str:
|
|
"""read word or phone alignment file.
|
|
<start-sample> <end-sample> <token><newline>
|
|
|
|
Args:
|
|
filepath (str): [description]
|
|
|
|
Returns:
|
|
str: token sepearte by <space>
|
|
"""
|
|
aligns = [] # (start, end, token)
|
|
with open(filepath, 'r') as f:
|
|
for line in f:
|
|
items = line.strip().split()
|
|
# for phone: (Note: beginning and ending silence regions are marked with h#)
|
|
if items[2].strip() == 'h#':
|
|
continue
|
|
aligns.append(items)
|
|
return ' '.join([item[2] for item in aligns])
|
|
|
|
|
|
def create_manifest(data_dir, manifest_path_prefix):
|
|
"""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_prefix)
|
|
json_lines = []
|
|
utts = set()
|
|
|
|
data_types = ['TRAIN', 'TEST']
|
|
for dtype in data_types:
|
|
del json_lines[:]
|
|
total_sec = 0.0
|
|
total_text = 0.0
|
|
total_num = 0
|
|
|
|
audio_dir = Path(os.path.join(data_dir, dtype))
|
|
for fname in sorted(audio_dir.rglob('*.WAV')):
|
|
audio_path = fname.resolve() # .WAV
|
|
audio_id = audio_path.stem
|
|
# if uttid exits, then skipped
|
|
if audio_id in utts:
|
|
continue
|
|
|
|
utts.add(audio_id)
|
|
text_path = audio_path.with_suffix('.TXT')
|
|
phone_path = audio_path.with_suffix('.PHN')
|
|
word_path = audio_path.with_suffix('.WRD')
|
|
|
|
audio_data, samplerate = soundfile.read(
|
|
str(audio_path), dtype='int16')
|
|
duration = float(len(audio_data) / samplerate)
|
|
word_text = read_txt(text_path)
|
|
phone_text = read_algin(phone_path)
|
|
|
|
gender_spk = str(audio_path.parent.stem)
|
|
spk = gender_spk[1:]
|
|
gender = gender_spk[0]
|
|
utt_id = '_'.join([spk, gender, audio_id])
|
|
# not dump alignment infos
|
|
json_lines.append(
|
|
json.dumps(
|
|
{
|
|
'utt': utt_id,
|
|
'feat': str(audio_path),
|
|
'feat_shape': (duration, ), # second
|
|
'text': word_text, # word
|
|
'phone': phone_text,
|
|
'spk': spk,
|
|
'gender': gender,
|
|
},
|
|
ensure_ascii=False))
|
|
|
|
total_sec += duration
|
|
total_text += len(word_text.split())
|
|
total_num += 1
|
|
|
|
manifest_path = manifest_path_prefix + '.' + dtype.lower()
|
|
with codecs.open(manifest_path, 'w', 'utf-8') as fout:
|
|
for line in json_lines:
|
|
fout.write(line + '\n')
|
|
|
|
with open(dtype.lower() + '.meta', 'w') as f:
|
|
print(f"{dtype}:", file=f)
|
|
print(f"{total_num} utts", 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 prepare_dataset(url, md5sum, target_dir, manifest_path):
|
|
"""Download, unpack and create summmary manifest file.
|
|
"""
|
|
filepath = os.path.join(target_dir, "TIMIT.zip")
|
|
if not os.path.exists(filepath):
|
|
print(f"Please download TIMIT.zip into {target_dir}.")
|
|
raise FileNotFoundError
|
|
|
|
if not os.path.exists(os.path.join(target_dir, "TIMIT")):
|
|
# check md5sum
|
|
assert check_md5sum(filepath, md5sum)
|
|
# unpack
|
|
unzip(filepath, target_dir)
|
|
else:
|
|
print("Skip downloading and unpacking. Data already exists in %s." %
|
|
target_dir)
|
|
# create manifest json file
|
|
create_manifest(os.path.join(target_dir, "TIMIT"), manifest_path)
|
|
|
|
|
|
def main():
|
|
if args.target_dir.startswith('~'):
|
|
args.target_dir = os.path.expanduser(args.target_dir)
|
|
|
|
prepare_dataset(URL_ROOT, MD5_DATA, args.target_dir, args.manifest_prefix)
|
|
print("Data download and manifest prepare done!")
|
|
|
|
|
|
if __name__ == '__main__':
|
|
main()
|