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 1480-1752Full text not available in this repository. (Request a copy from the Strathclyde author)
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.
|Keywords:||higher order statistic, autocorrelation, statistical analysis, non-linear effect, speech analysis, vocal signal, speech processing, Electrical engineering. Electronics Nuclear engineering, Control and Systems Engineering, Computer Science Applications|
|Subjects:||Technology > Electrical engineering. Electronics Nuclear engineering|
|Department:||Faculty of Engineering > Electronic and Electrical Engineering|
|Depositing user:||Strathprints Administrator|
|Date Deposited:||04 Nov 2008|
|Last modified:||06 Jan 2017 04:48|