# 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. """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): # no txt for p315 # no mic2 for p280 and p362 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): # mic1 have very low frequency noises pre_wav_name = "_".join(wav_name.split("_")[:2]) if "mic2" in wav_name: wav_paths.append(str(sub_dir / wav_name)) # remove "_mic2" in wav_name and replace ".flac" with ".wav" 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): # no txt for p315 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)