forked from mrq/DL-Art-School
41 lines
1.4 KiB
Python
41 lines
1.4 KiB
Python
import argparse
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import logging
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import os
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from pydub import AudioSegment
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from pydub.exceptions import CouldntDecodeError
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from pydub.silence import split_on_silence
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from data.util import find_audio_files
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from tqdm import tqdm
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# Uses pydub to process a directory of audio files, splitting them into clips at points where it detects a small amount
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# of silence.
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def main():
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parser = argparse.ArgumentParser()
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parser.add_argument('--path')
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parser.add_argument('--out')
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args = parser.parse_args()
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minimum_duration = 2
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maximum_duration = 20
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files = find_audio_files(args.path, include_nonwav=True)
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for e, wav_file in enumerate(tqdm(files)):
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print(f"Processing {wav_file}..")
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outdir = os.path.join(args.out, f'{e}_{os.path.basename(wav_file[:-4])}').replace('.', '').strip()
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os.makedirs(outdir, exist_ok=True)
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try:
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speech = AudioSegment.from_file(wav_file)
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except CouldntDecodeError as e:
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print(e)
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continue
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chunks = split_on_silence(speech, min_silence_len=400, silence_thresh=-40,
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seek_step=100, keep_silence=50)
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for i in range(0, len(chunks)):
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if chunks[i].duration_seconds < minimum_duration or chunks[i].duration_seconds > maximum_duration:
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continue
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chunks[i].export(f"{outdir}/{i:05d}.mp3", format='mp3', parameters=["-ac", "1"])
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if __name__ == '__main__':
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main()
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