Strathprints Home | Open Access | Browse | Search | User area | Copyright | Help | Library Home | SUPrimo

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.

Item type: Article
ID code: 7073
Keywords: higher order statistic, autocorrelation, statistical analysis, non-linear effect, speech analysis, vocal signal, speech processing, Electrical engineering. Electronics Nuclear engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Related URLs:
Depositing user: Strathprints Administrator
Date Deposited: 04 Nov 2008
Last modified: 16 Jul 2013 19:33
URI: http://strathprints.strath.ac.uk/id/eprint/7073

Actions (login required)

View Item