Speech Coding Based on Orthogonal and Biorthogonal Wavelet

被引：3

作者：

Joseph, Shijo M. ^{[1
]}

Anto, Babu P. ^{[1
]}

机构：

[1] Kannur Univ, Sch Informat Sci & Technol, Kannur, Kerala, India

来源：

2ND INTERNATIONAL CONFERENCE ON COMMUNICATION, COMPUTING & SECURITY [ICCCS-2012] | 2012年 / 1卷

关键词：

Run length encoding;

D O I：

10.1016/j.protcy.2012.10.047

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The main objective of speech compression is to reduce the bits rate of speech for communication or storage without significant loss of its intelligibility. Wavelet based speech coding is a new technique used for speech compression. The main issue regarding wavelet based speech coding is to choose optimal wavelet to transform the speech signal. In this experiment we use two types of wavelet such as orthogonal and biorthogonal wavelets to transform the speech signal. Speech data base for this experiment is created in Malayalam, one of the South Indian languages. Birage-Massart strategies based thresholding is applied to make maximum feature vector coefficients to zero. Run length encoding algorithm is used to encode the threshold coefficient. Performance of this experiment is evaluated in terms of NRMSE, SNR, PSNR, RSE MOS and in terms of compression percentage. (C) 2012 The Authors. Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Department of Computer Science & Engineering, National Institute of Technology Rourkela

引用

页码：397 / 404

页数：8

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