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import os |
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import argparse |
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import librosa |
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import numpy as np |
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from multiprocessing import Pool, cpu_count |
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import soundfile |
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from scipy.io import wavfile |
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from tqdm import tqdm |
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def process(item): |
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spkdir, wav_name, args = item |
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speaker = spkdir.replace("\\", "/").split("/")[-1] |
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wav_path = os.path.join(args.in_dir, speaker, wav_name) |
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if os.path.exists(wav_path) and '.wav' in wav_path: |
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os.makedirs(os.path.join(args.out_dir, speaker), exist_ok=True) |
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wav, sr = librosa.load(wav_path, sr=args.sr) |
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soundfile.write( |
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os.path.join(args.out_dir, speaker, wav_name), |
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wav, |
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sr |
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) |
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if __name__ == "__main__": |
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parser = argparse.ArgumentParser() |
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parser.add_argument("--sr", type=int, default=44100, help="sampling rate") |
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parser.add_argument("--in_dir", type=str, default="./raw", help="path to source dir") |
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parser.add_argument("--out_dir", type=str, default="./dataset", help="path to target dir") |
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args = parser.parse_args() |
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processs = cpu_count()-2 if cpu_count() >4 else 1 |
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pool = Pool(processes=processs) |
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for speaker in os.listdir(args.in_dir): |
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spk_dir = os.path.join(args.in_dir, speaker) |
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if os.path.isdir(spk_dir): |
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print(spk_dir) |
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for _ in tqdm(pool.imap_unordered(process, [(spk_dir, i, args) for i in os.listdir(spk_dir) if i.endswith("wav")])): |
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pass |
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