8th International Conference on Spoken Language Processing

Jeju Island, Korea
October 4-8, 2004

Adaptive Long-Term Predictive Analysis of Disordered Speech

Abdellah Kacha, Francis Grenez, Frédéric Bettens, Jean Schoentgen

Université Libre de Bruxelles, Belgium

A time-varying long-term bi-directional linear predictive analysis is proposed in the context of the acoustic assessment of disordered speech. It is shown that performing a forward and backward longterm linear prediction of each speech sample and retaining the minimal overall prediction error as a cue of vocal dysperiodicity obtains a signal-to-noise ratio that correlates with the perceived degree of hoarseness. The coefficients of the time-varying long-term linear predictive model are estimated adaptively by means of a recursive least squares algorithm.

Full Paper

Bibliographic reference.  Kacha, Abdellah / Grenez, Francis / Bettens, Frédéric / Schoentgen, Jean (2004): "Adaptive long-term predictive analysis of disordered speech", In INTERSPEECH-2004, 529-532.