Open Access

Speech/Nonspeech Detection Using Minimal Walsh Basis Functions

EURASIP Journal on Audio, Speech, and Music Processing20062007:039546

https://doi.org/10.1155/2007/39546

Received: 1 November 2005

Accepted: 12 June 2006

Published: 18 October 2006

Abstract

This paper presents a new method to detect speech/nonspeech components of a given noisy signal. Employing the combination of binary Walsh basis functions and an analysis-synthesis scheme, the original noisy speech signal is modified first. From the modified signals, the speech components are distinguished from the nonspeech components by using a simple decision scheme. Minimal number of Walsh basis functions to be applied is determined using singular value decomposition (SVD). The main advantages of the proposed method are low computational complexity, less parameters to be adjusted, and simple implementation. It is observed that the use of Walsh basis functions makes the proposed algorithm efficiently applicable in real-world situations where processing time is crucial. Simulation results indicate that the proposed algorithm achieves high-speech and nonspeech detection rates while maintaining a low error rate for different noisy conditions.

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Authors’ Affiliations

(1)
School of Electrical and Electronic Engineering, Nanyang Technological University

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Copyright

© M. Pwint and F. Sattar. 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.