DocumentCode :
1769293
Title :
Speech enhancement using normalized cumulant-based adaptive algorithm for transient noise
Author :
Sasaoka, Naoto ; Ono, Keishi ; Itoh, Yoshio
Author_Institution :
Grad. Sch. of Eng., Tottori Univ., Tottori, Japan
fYear :
2014
fDate :
1-5 June 2014
Firstpage :
2313
Lastpage :
2316
Abstract :
Speech enhancement has been proposed to reduce noise in noisy speech. However, it is difficult to reduce the transient noise with a narrow band component which is associated with a natural oscillation of the object. In order to solve the problem, we have proposed the speech enhancement based on a linear predictor with 4th order cumulant adaptive algorithm. However, the divergence of the proposed adaptive algorithm occurs due to too large step size. Thus, this paper proposes a normalized 4th order cumulant based adaptive algorithm. The convergence of the adaptive algorithm is guaranteed by the proposed adaptive algorithm.
Keywords :
higher order statistics; speech enhancement; 4th order cumulant adaptive algorithm; linear predictor; noisy speech; normalized cumulant- based adaptive algorithm; speech enhancement; transient noise; Adaptive algorithms; Convergence; Signal to noise ratio; Speech; Speech enhancement; Transient analysis; adaptive filter; convergence condition; high order cumulant; speech enhancement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems (ISCAS), 2014 IEEE International Symposium on
Conference_Location :
Melbourne VIC
Print_ISBN :
978-1-4799-3431-7
Type :
conf
DOI :
10.1109/ISCAS.2014.6865634
Filename :
6865634
Link To Document :
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