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 2070-3724Full text not available from this repository.
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.
|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|
|Google Scholar:||4 Citations|