%0 Journal Article
	%A Ayaz Keerio and  Bhargav Kumar Mitra and  Philip Birch and  Rupert Young and  Chris Chatwin
	%D 2008
	%J International Journal of Electrical and Computer Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 23, 2008
	%T On Preprocessing of Speech Signals
	%U https://publications.waset.org/pdf/4471
	%V 23
	%X 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.

	%P 3693 - 3699