@article{(Open Science Index):https://publications.waset.org/pdf/4471, title = {On Preprocessing of Speech Signals}, author = {Ayaz Keerio and Bhargav Kumar Mitra and Philip Birch and Rupert Young and Chris Chatwin}, country = {}, institution = {}, 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. }, journal = {International Journal of Electrical and Computer Engineering}, volume = {2}, number = {11}, year = {2008}, pages = {3693 - 3699}, ee = {https://publications.waset.org/pdf/4471}, url = {https://publications.waset.org/vol/23}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 23, 2008}, }