Plachta
23 lines
811 B
Python
23 lines
811 B
Python
import os
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import torch
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import torchaudio
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audio_dir = "./user_voice/"
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wavfiles = []
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for filename in list(os.walk(audio_dir))[0][2]:
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if filename.endswith(".wav"):
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wavfiles.append(filename)
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# denoise with demucs
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for i, wavfile in enumerate(wavfiles):
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os.system(f"demucs --two-stems=vocals {audio_dir}{wavfile}")
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# read & store the denoised vocals back
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for wavfile in wavfiles:
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i = wavfile.strip(".wav")
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wav, sr = torchaudio.load(f"./separated/htdemucs/{i}/vocals.wav", frame_offset=0, num_frames=-1, normalize=True, channels_first=True)
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# merge two channels into one
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wav = wav.mean(dim=0).unsqueeze(0)
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if sr != 22050:
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wav = torchaudio.transforms.Resample(orig_freq=sr, new_freq=22050)(wav)
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torchaudio.save(f"./user_voice/{i}.wav", wav, 22050, channels_first=True) |