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ICASSP
2009
IEEE

Chirp rate estimation of speech based on a time-varying quasi-harmonic model

10 years 1 months ago
Chirp rate estimation of speech based on a time-varying quasi-harmonic model
The speech signal is usually considered as stationary during short analysis time intervals. Though this assumption may be sufficient in some applications, it is not valid for high-resolution speech analysis and in applications such as speech transformation and objective voice function assessment for detection of voice disorders. In speech, there are non stationary components, for instance timevarying amplitudes and frequencies, which may change quickly over short time intervals. In this paper, a previously suggested timevarying quasi-harmonic model is extended in order or to estimate the chirp rate for each sinusoidal component, thus successfully tracking fast variations in frequency and amplitude. The parameters of the model are estimated through linear Least Squares and the model accuracy is evaluated on synthetic chirp signals. Experiments on speech signals indicate that the new model is able to efficiently estimate the signal component chirp rates, providing means to develop more ...
Yannis Pantazis, Olivier Rosec, Yannis Stylianou
Added 17 Aug 2010
Updated 17 Aug 2010
Type Conference
Year 2009
Where ICASSP
Authors Yannis Pantazis, Olivier Rosec, Yannis Stylianou
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