Exploring dynamic time warping technique to wavelet speech compression

Author

Kornsing, S. ; Srinonchat, Jakkree

Author_Institution

Electron. & Telecommun. Eng. Dept., Rajamangala Univ. of Technol. Thanyaburi, Pathumthani, Thailand

fYear

2012

fDate

16-18 May 2012

Firstpage

1

Lastpage

4

Abstract

Wavelet analysis is a significant tool that has been used for speech and image processing. Three wavelet families, Haar wavelet (Haar), Biorthogonal wavelet (Bior) and Discrete approximation of Meyer wavelet (Dmey) are used in this experiment. Eighty speech signal, which are selected from male and female, are used as input signal. Dynamic Time Warping (DTW) technique is applied to determine and adjust speech feature for compression. The results shown that the Haar wavelet provides good performance in compression condition and also keep the quality of speech close to the original speech.

Keywords

Haar transforms; approximation theory; data compression; speech coding; wavelet transforms; Haar wavelet; Meyer wavelet; biorthogonal wavelet; discrete approximation; dynamic time warping technique; image processing; speech feature; speech processing; speech signal; wavelet speech compression; Wavelet domain; Biorthogonal wavelet; Discrete approximationof Meyer wavelet; Dynamic Time Warping; Haar wavelet; Speech signal compression;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2012 9th International Conference on

Conference_Location

Phetchaburi

Print_ISBN

978-1-4673-2026-9

Type

conf

DOI

10.1109/ECTICon.2012.6254341

Filename

6254341