Title :
Linear prediction analysis of crosscorrelation sequence for voiced speech
Author :
Liqing Liu ; Shimamura, Tetsuya
Author_Institution :
Saitama Univ., Saitama, Japan
Abstract :
The conventional linear prediction (LP) analysis is known to suffer from problems that it is sensitive to additive noise. In this paper a new approach for LP analysis of crosscorrelation sequence between speech signal and its zero-crossing wave has been presented. Simulation results show that the proposed method is capable of performing the speech analysis under a white noisy environment.
Keywords :
correlation methods; linear predictive coding; speech processing; LP analysis; additive noise; crosscorrelation sequence; linear prediction analysis; speech analysis; speech signal; voiced speech; white noisy environment; zero-crossing wave; Additive noise; Cepstrum; Correlation; Noise measurement; Signal to noise ratio; Speech;
Conference_Titel :
Asia-Pacific Signal and Information Processing Association, 2014 Annual Summit and Conference (APSIPA)
Conference_Location :
Siem Reap
DOI :
10.1109/APSIPA.2014.7041788
