Title :
Scale-invariant probabilistic latent component analysis
Author :
Hennequin, Romain ; Badeau, Roland ; David, Bertrand
Author_Institution :
LTCI, Telecom ParisTech, Paris, France
Abstract :
In this paper, we present a new method for decomposing musical spectrograms. This method is similar to shift-invariant Probabilistic Latent Component Analysis, but, when the latter works with constant Q spectrograms (i.e. with a logarithmic frequency resolution), our technique is designed to decompose standard short time Fourier transform spectrograms (i.e. with a linear frequency resolution). This makes it possible to easily reconstruct the latent signals (which can be useful for source separation).
Keywords :
Fourier transforms; audio signal processing; music; principal component analysis; probability; signal reconstruction; singular value decomposition; Fourier transform spectrograms; constant Q spectrograms; latent signal reconstruction; musical spectrograms; probabilistic latent component analysis; scale invariant decomposition; Acoustics; Harmonic analysis; Probabilistic logic; Random variables; Source separation; Spectrogram; Music signal processing; non-negative matrix factorization; probabilistic latent component analysis; shiftinvariant decomposition;
Conference_Titel :
Applications of Signal Processing to Audio and Acoustics (WASPAA), 2011 IEEE Workshop on
Conference_Location :
New Paltz, NY
Print_ISBN :
978-1-4577-0692-9
Electronic_ISBN :
1931-1168
DOI :
10.1109/ASPAA.2011.6082265