On Preprocessing of Speech Signals

Keerio, Ayaz, Mitra, Bhargav Kumar, Birch, Philip, Young, Rupert and Chatwin, Chris (2009) On Preprocessing of Speech Signals. International Journal of Signal Processing, 5 (3). pp. 216-222. ISSN 2070-397X

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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

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: 08 Apr 2010
Last Modified: 07 Mar 2017 13:26
URI: http://sro.sussex.ac.uk/id/eprint/2295
Google Scholar:4 Citations

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