DocumentCode
2461721
Title
Enhancement Speech Compression Technique Using Modern Wavelet Transforms
Author
Kornsing, Supatinee ; Srinonchat, Jakkree
Author_Institution
Electron. & Telecommun. Eng. Dept., Rajamangala Univ. of Technol., Thanyaburi Pathumthani, Thailand
fYear
2012
fDate
4-6 June 2012
Firstpage
393
Lastpage
396
Abstract
The Discrete Wavelet Transform is the most powerful and new signal compression technique which uses multi-resolution analysis for analyzing speech signal. This article proposes the frequency loss less comparison of the modern wavelets based on speech compression technique. Haar wavelet (Haar), Biorthogonal wavelet (Bior) and Discrete approximation of Meyer wavelet (Dmey) are investigated in this experiment with eighty speech signal from male and female. The experiments indicated that the Bior provides the best performance in time and frequency domain. Also it can also gain the compression rate as 2.67 to the original speech signal.
Keywords
Haar transforms; data compression; discrete wavelet transforms; speech coding; Haar wavelet; biorthogonal wavelet; discrete approximation of Meyer wavelet; discrete wavelet transform; enhancement speech compression technique; frequency domain; frequency lossless comparison; modern wavelet transforms; multiresolution analysis; signal compression technique; speech compression technique; speech signal analysis; time domain; Discrete wavelet transforms; Frequency domain analysis; Speech; Speech processing; Wavelet domain; Biorthogonal wavelet; Discrete approximation of Meyer wavelet; Haar wavelet; Speech signal compression;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer, Consumer and Control (IS3C), 2012 International Symposium on
Conference_Location
Taichung
Print_ISBN
978-1-4673-0767-3
Type
conf
DOI
10.1109/IS3C.2012.106
Filename
6228329
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