Ircam - Centre Georges-Pompidou Equipe Analyse/Synthèse

TRACKING OF PARTIALS FOR ADDITIVE SOUND SYNTHESIS USING HIDDEN MARKOV MODELS

Ph. Depalle, G. Garcia & X. Rodet Xavier Rodet

in Proc. IEEE-ICASSP 1993

Abstract

In this paper, we present a sinusoidal partial tracking method for additive synthesis of sound. Partials are tracked by identifying time functions of parameters as underlying trajectories in successsive set of spectral peaks. This is done by a purely combinatorial Hidden Markov Model. We consider a partial trajectory as a time-sequence of peaks which satisfies continuity constraints on parameter slopes. Our method allows frequency line crossing and can be used for formant tracking.