Scale-invariant probabilistic latent component analysis

Romain Hennequin (1) , Bertrand David (1) , Roland Badeau (1)

1 LTCI - Laboratoire Traitement et Communication de l'Information

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).

Mots clés: shift-invariant decomposition.; shift-invariant decomposition; Non-negative decomposition; Nonnegative matrix factorization; probabilistic latent component analysis

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Romain Hennequin, Bertrand David, Roland Badeau. Scale-invariant probabilistic latent component analysis. 2014. ⟨hal-00960765⟩