"""Script to reorganize VCTK dataset so as to use Montreal Force
Aligner to align transcription and audio.
Please refer to https://montreal-forced-aligner.readthedocs.io/en/latest/data_prep.html
for more details about Montreal Force Aligner's requirements on cotpus.
For scripts to reorganize other corpus, please refer to
https://github.com/MontrealCorpusTools/MFA-reorganization-scripts
for more details.
"""
import argparse
import os
from concurrent.futures import ThreadPoolExecutor
from pathlib import Path
from typing import Union
import librosa
import soundfile as sf
from tqdm import tqdm
def resample_and_save(source, target, sr=16000):
wav, _ = librosa.load(str(source), sr=sr)
sf.write(str(target), wav, samplerate=sr, subtype='PCM_16')
return target
def write_wav(root_dir: Union[str, Path], output_dir: Union[str, Path]):
wav_paths = []
new_wav_paths = []
wav_dir = root_dir / 'wav48_silence_trimmed'
new_dir = output_dir
new_dir.mkdir(parents=True, exist_ok=True)
for spk_dir in os.listdir(wav_dir):
if spk_dir not in {'log.txt', 'p315', 'p280', 'p362'}:
sub_dir = wav_dir / spk_dir
new_sub_dir = new_dir / spk_dir
new_sub_dir.mkdir(parents=True, exist_ok=True)
for wav_name in os.listdir(sub_dir):
pre_wav_name = "_".join(wav_name.split("_")[:2])
if "mic2" in wav_name:
wav_paths.append(str(sub_dir / wav_name))
new_wav_name = pre_wav_name + ".wav"
new_wav_paths.append(str(new_sub_dir / new_wav_name))
assert len(new_wav_paths) == len(wav_paths)
with ThreadPoolExecutor(os.cpu_count()) as pool:
with tqdm(total=len(wav_paths), desc="resampling") as pbar:
futures = []
for i, wav_path in enumerate(wav_paths):
future = pool.submit(resample_and_save, wav_path,
new_wav_paths[i])
future.add_done_callback(lambda p: pbar.update())
futures.append(future)
results = []
for ft in futures:
results.append(ft.result())
def write_txt(root_dir: Union[str, Path], output_dir: Union[str, Path]):
txt_dir = root_dir / 'txt'
new_dir = output_dir
new_dir.mkdir(parents=True, exist_ok=True)
for spk_dir in os.listdir(txt_dir):
if spk_dir not in {'log.txt', 'p315', 'p280', 'p362'}:
sub_dir = txt_dir / spk_dir
new_sub_dir = new_dir / spk_dir
for txt_name in os.listdir(sub_dir):
rf = open(sub_dir / txt_name, "r")
wf = open(new_sub_dir / txt_name, "w")
for line in rf:
wf.write(line)
def reorganize_vctk(root_dir: Union[str, Path], output_dir: Union[str, Path]):
output_dir.mkdir(parents=True, exist_ok=True)
write_wav(root_dir, output_dir)
write_txt(root_dir, output_dir)
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description="Reorganize VCTK-Corpus-0.92 dataset for MFA")
parser.add_argument(
"--root-dir",
type=str,
default="",
help="path to VCTK-Corpus-0.92 dataset.")
parser.add_argument(
"--output-dir",
type=str,
help="path to save outputs (audio and transcriptions)")
args = parser.parse_args()
root_dir = Path(args.root_dir).expanduser()
output_dir = Path(args.output_dir).expanduser()
output_dir.mkdir(parents=True, exist_ok=True)
reorganize_vctk(root_dir, output_dir)