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Scale-invariant probabilistic latent component analysis

Abstract : 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 to reconstruct the latent signals (which can be useful for source separation).
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https://hal.inria.fr/hal-00945291
Contributor : Roland Badeau <>
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Romain Hennequin, Roland Badeau, Bertrand David. Scale-invariant probabilistic latent component analysis. Proc. of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2011, New Paltz, New York, United States. pp.129--132. ⟨hal-00945291⟩

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