haoheliu/torchsubband
Pytorch implementation of subband decomposition
This tool helps researchers and engineers working with audio signals break down complex sound recordings into simpler components. It takes an audio waveform as input and generates different subband representations (waveform, magnitude spectrogram, or complex spectrogram), which can then be used for tasks like separating individual instruments in a music track. Anyone working on music production, audio forensics, or speech processing would find this useful for analyzing and manipulating sound.
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Use this if you need to decompose audio signals into frequency subbands for tasks like music source separation or advanced audio analysis.
Not ideal if you're looking for a simple audio playback tool or a general-purpose audio editor.
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HTML
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MIT
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Last pushed
Jul 26, 2022
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