@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},
	}