Picture of two heads

Open Access research that challenges the mind...

The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including those from the School of Psychological Sciences & Health - but also papers by researchers based within the Faculties of Science, Engineering, Humanities & Social Sciences, and from the Strathclyde Business School.

Discover more...

Higher-order statistics-based non-linear speech analysis

Soraghan, J.J. and Hussain, A. and Alkulabi, A. and Durrani, T.S. (2002) Higher-order statistics-based non-linear speech analysis. Control and Intelligent Systems, 30 (1). pp. 11-18. ISSN 1480-1752

Full text not available in this repository. (Request a copy from the Strathclyde author)

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.