Using linear prediction to enhance the tracking of partials [musical audio processing]

Author

Lagrange, Mathieu ; Marchand, Sylvain ; Rault, Jean-Bernard

Author_Institution

France Telecom R&D, France

Volume

4

fYear

2004

fDate

17-21 May 2004

Abstract

In this article, we present an enhanced algorithm, of low complexity, for the tracking of partials in the context of sinusoidal modeling. By considering the past evolution of each partial in the time/frequency and time/amplitude planes to predict its future evolutions, this algorithm allows a better discrimination between sinusoidal and noisy components and an easier cancellation of sudden changes in the evolutions of the partials.

Keywords

audio signal processing; autoregressive processes; music; signal representation; source separation; time-domain analysis; autoregressive model; information extraction; linear prediction model; musical audio processing; musical coding; musical source separation; partial time/amplitude plane; partial time/frequency plane; partials tracking; pseudo-stationary sound representation; sinusoidal modeling; sinusoidal/noisy component discrimination; transcription; Acoustic noise; Context modeling; Frequency estimation; Lagrangian functions; Noise cancellation; Noise level; Predictive models; Research and development; Source separation; Telecommunications;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-8484-9

Type

conf

DOI

10.1109/ICASSP.2004.1326808

Filename

1326808