Higher-order statistics-based nonlinear speech analysis

Soraghan, John J.; Hussain, Amir; Alkulabi, A.; Durrani, T.S.

Abstract

A fast and robust three-level binary higher order statistics (HOS) based algorithm for simultaneous voiced/unvoiced detection and pitch estimation of speech signals in coloured noise environments with low SNR is presented. The use of the three-level binary speech signals dramatically reduces the computational effort required in evaluating the higher order cumulants. The superior performance of the new algorithm over the conventional autocorrelation method using real speech signals is demonstrated. The algorithm can easily be implemented in digital hardware using simple combinatorial logic.

Citation

Soraghan, J. J., Hussain, A., Alkulabi, A., & Durrani, T. (2002). Higher-order statistics-based nonlinear speech analysis. Control and Intelligent Systems, 30, 11-18

• Journal Article Type: Article
• Publication Date: 2002
• Deposit Date: Sep 27, 2019
• Journal: Control and Intelligent Systems
• Print ISSN: 1480-1752
• Electronic ISSN: 1925-5810
• Publisher: ACTA Press
• Peer Reviewed: Peer Reviewed
• Volume: 30
• Pages: 11-18
• Keywords: Voice detection, speech signals
• Public URL: http://researchrepository.napier.ac.uk/Output/1793747