Exponential sinusoidal modeling of transitional speech segments

Author

Jensen, Jesper ; Jensen, Søren Holdt ; Hansen, Egon

Author_Institution

Center for PeronKommunikaion, Aalborg Univ., Denmark

Volume

1

fYear

1999

fDate

15-19 Mar 1999

Firstpage

473

Abstract

A generalized sinusoidal model for speech signal processing is studied. The main feature of the model is that the amplitude of each sinusoidal component is allowed to vary exponentially with time. We propose to use the model in transitional speech segments such as speech onsets and voiced/unvoiced transitions. Computer simulations with natural speech signals indicate substantial better modeling performance in both transitional and voiced regions compared with the traditional constant-amplitude sinusoidal model

Keywords

parameter estimation; speech processing; computer simulations; constant-amplitude sinusoidal model; exponential sinusoidal modeling; generalized sinusoidal model; modeling performance; natural speech signals; parameter estimation; sinusoidal component amplitude; speech onsets; speech signal processing; transitional region; transitional speech segments; voiced region; voiced/unvoiced transitions; Acoustic noise; Computer simulation; Electronic mail; Frequency; Natural languages; Parameter estimation; Robustness; Signal processing; Speech coding; Speech processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on

Conference_Location

Phoenix, AZ

ISSN

1520-6149

Print_ISBN

0-7803-5041-3

Type

conf

DOI

10.1109/ICASSP.1999.758165

Filename

758165