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Adaptive harmonic decomposition using shift-invariant PLCA

Abstract : This paper presents a new algorithm based on shift-invariant probabilistic latent component analysis that analyzes harmonic structures in an audio signal. Each note in a constant-Q transform is modeled as a weighted sum of narrowband parametric spectra, and a positive deconvolution is performed to obtain both pitch and timbre signature. The algorithm has been tested in a task of monopitch and multipitch estimation and shows very promising results.
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https://hal.inria.fr/hal-00945289
Contributor : Roland Badeau <>
Submitted on : Monday, March 24, 2014 - 3:42:33 PM
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Benoit Fuentes, Roland Badeau, Gael Richard. Adaptive harmonic decomposition using shift-invariant PLCA. Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2011, Prague, Czech Republic. ⟨hal-00945289⟩

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