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
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;
Conference_Titel :
Computer, Consumer and Control (IS3C), 2012 International Symposium on
Conference_Location :
Taichung
Print_ISBN :
978-1-4673-0767-3
DOI :
10.1109/IS3C.2012.106