Joel Mathew Thomas
33 lines
1.2 KiB
Python
33 lines
1.2 KiB
Python
import os
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from src.input.file_reader import read_audio
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from src.separation.convtasnet_wrapper import separate
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from src.postprocessing.audio_writer import export_audio
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def main(input_audio_path, output_dir, model_name="mpariente/ConvTasNet_WHAM!_sepclean"):
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try:
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audio, sr = read_audio(input_audio_path)
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print(f"Loaded audio from {input_audio_path} with sampling rate {sr}")
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if not os.path.exists(output_dir):
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os.makedirs(output_dir)
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separated_sources = separate(audio, model_name)
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print(f"Separated {len(separated_sources)} sources")
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print("Separated sources are", separated_sources)
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for i, source in enumerate(separated_sources):
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output_path = os.path.join(output_dir, f"source_{i+1}.wav")
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export_audio(source, output_path, sr)
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print(f"Exported separated source {i + 1} to {output_path}")
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except Exception as e:
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print(f"Error in processing: {e}")
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if __name__ == "__main__":
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input_audio_path = "/home/joel/Downloads/female_female_speech.wav"
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output_dir = "/tmp/convtasnet"
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main(input_audio_path, output_dir)
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