Adapted local trigonometric transforms and speech processing

Author

Wesfreid, Eva ; Wickerhauser, Mladen Victor

Author_Institution

Ceremade, Paris IX-Dauphine Univ., France

Volume

41

Issue

12

fYear

1993

fDate

12/1/1993 12:00:00 AM

Firstpage

3596

Lastpage

3600

Abstract

Uses an algorithm based on the adapted-window Malvar transform to decompose digitized speech signals into a local time-frequency representation. The authors present some applications and experimental results for a signal compression and automatic voiced-unvoiced segmentation. This decomposition provides a method of parameter simplification which appears to be useful for detecting fundamental frequencies, and characterizing formants

Keywords

data compression; speech coding; time-frequency analysis; transforms; adapted local trigonometric transforms; adapted-window Malvar transform; algorithm; automatic voiced-unvoiced segmentation; characterizing formants; digitized speech signals decomposition; fundamental frequencies; local time-frequency representation; parameter simplification; signal compression; speech processing; Discrete transforms; Frequency domain analysis; Laplace equations; Matrix decomposition; Nonlinear filters; Signal processing; Signal processing algorithms; Signal resolution; Speech coding; Speech processing;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.258104

Filename

258104