Adaptive harmonic decomposition using shift-invariant PLCA

Overview & Synopsis

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.