Keerio, A., Mitra, B.K., Birch, P.M., Young, R.C.D. and Chatwin, C.R. (2008) On Preprocessing of Speech Signals. World Academy of Science, Engineering and Technology, 47. pp. 317-323. ISSN 2070-3724

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Abstract

Preprocessing of speech signals is considered a crucial step in the development of a robust and efficient speech or speaker recognition system. In this paper, we present some popular statistical outlier-detection based strategies to segregate the silence/unvoiced part of the speech signal from the voiced portion. The proposed methods are based on the utilization of the 3 σ edit rule, and the Hampel Identifier which are compared with the conventional techniques: (i) short-time energy (STE) based methods, and (ii)distribution based methods. The results obtained after applying the proposed strategies on some test voice signals are encouraging.

Item Type:	Article
Keywords:	STE based methods, Mahalanobis distance, 3 σ edit rule, Hampel Identifier
Schools and Departments:	School of Engineering and Informatics > Engineering and Design
Depositing User:	Ayaz Keerio
Date Deposited:	09 Nov 2009
Last Modified:	30 Nov 2012 16:53
URI:	http://srodev.sussex.ac.uk/id/eprint/2253
Google Scholar:	4 Citations

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