A novel approach to speech segmentation using the wavelet transform

Author

Alani, Ahmed ; Deriche, Mohamed

Author_Institution

Signal Process. Res. Centre, Queensland Univ. of Technol., Brisbane, Qld., Australia

Volume

1

fYear

1999

fDate

1999

Firstpage

127

Abstract

This paper presents a novel approach to segmenting speech using the wavelet transform. The wavelet transform produces a flexible decomposition of signals in both time domain and frequency domains which is useful in segmenting parts of speech containing fast varying changes, like stops, as well as slow varying ones, like vowels. Results using six wavelet parameters are found to be comparable to those obtained using sixteen mel-scale spectrum coefficients

Keywords

frequency-domain analysis; spectral analysis; speech processing; time-domain analysis; wavelet transforms; fast varying changes; frequency domain; mel-scale spectrum coefficients; signal decomposition; slow varying changes; speech segmentation; stops; time domain; vowels; wavelet parameters; wavelet transform; Application software; Australia; Fourier transforms; Frequency domain analysis; Signal analysis; Signal processing; Speech processing; Wavelet analysis; Wavelet domain; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Its Applications, 1999. ISSPA '99. Proceedings of the Fifth International Symposium on

Conference_Location

Brisbane, Qld.

Print_ISBN

1-86435-451-8

Type

conf

DOI

10.1109/ISSPA.1999.818129

Filename

818129