%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