On Preprocessing of Speech Signals

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 2070-3724

Full 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.

Item Type: Article
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
URI: http://srodev.sussex.ac.uk/id/eprint/2253
Google Scholar:4 Citations
📧 Request an update