Scale-invariant probabilistic latent component analysis
Résumé
In this paper, we present a new method to decompose musical spectrograms. This method transposes shift-invariant probabilistic latent component analysis (PLCA) which permits to decompose constant Q spectrograms (with a logarithmic frequency resolution) to standard short time Fourier transform spectrograms (with a linear frequency resolution). This makes it possible to easily use the method reconstruct the latent signals (which can be useful for source separation).
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