Tracking of partials for additive sound synthesis using hidden Markov models

Authors:
Ph. Depalle;G. García;X. Rodet
Affiliations:
IRCAM, Paris, France;IRCAM, Paris, France;IRCAM, Paris, France
Venue:
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: plenary, special, audio, underwater acoustics, VLSI, neural networks - Volume I
Year:
1993

Citing 0
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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 consuaints on parameter slopes. Our method allows frequency line crossing and can be used for formant tracking.