Adaptive harmonic time-frequency decomposition of audio using shift-invariant PLCA

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.

• Type: Journal
• Year: 2011
• Where: ICASSP
• Authors: Benoit Fuentes, Roland Badeau, Gaël Richard
• Keywords: ICASSP 2011, Narrowband Parametric Spectra, Probabilistic Latent Component, Signal Processing, Weighted Sum