Title :
Adapted local trigonometric transforms and speech processing
Author :
Wesfreid, Eva ; Wickerhauser, Mladen Victor
Author_Institution :
Ceremade, Paris IX-Dauphine Univ., France
fDate :
12/1/1993 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on
