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THE DISTANCE MEASURE FOR LINE SPECTRUM PAIRS APPLIED TO SPEECH RECOGNITION
 

Summary: THE DISTANCE MEASURE FOR LINE SPECTRUM PAIRS
APPLIED TO SPEECH RECOGNITION
Fang Zheng, Zhanjiang Song, Ling Li, Wenjian Yu, Fengzhou Zheng, and Wenhu Wu
Speech Laboratory, Department of Computer Science and Technology,
Tsinghua University, Beijing, 100084, P. R. China
fzheng@sp.cs.tsinghua.edu.cn
ABSTRACT
The Line Spectrum Pair (LSP) based on the principle of linear
predictive coding (LPC) plays a very important role in the
speech synthesis; it has many interesting properties. Several
famous speech compression / decompression algorithms,
including the famous code excited linear predictive coding
(CELP), are based on the LSP analysis, where the information
loss or predicting errors are often very small due to the LSP's
characteristics. Unfortunately till now there is not a satisfying
kind of distance measure available for LSP so that this kind of
features can be used for speech recognition applications. In this
paper, the principle of LSP analysis is studied at first, and then
several distance measures for LSP are proposed which can
describe very well the difference between two groups of

  

Source: Abu-Mostafa, Yaser S. - Department of Mechanical Engineering & Computer Science Department, California Institute of Technology

 

Collections: Computer Technologies and Information Sciences