Publication Type:

Conference Paper

Source:

TISC 2011 - Proceedings of the 3rd International Conference on Trendz in Information Sciences and Computing, Chennai, p.65-69 (2011)

ISBN:

9781467301329

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-84859984012&partnerID=40&md5=d43007b293bb8b91b3140db15d8c614f

Keywords:

Acoustic features, Audio acoustics, Audio classification, Audio signal, biomedical engineering, Classification images, Computation methods, Fluid mechanics, Image processing, Information science, Measurement methods, Nonstationary noise, Optical data processing, Speech classification, Speech recognition, Speech waveforms, Speech/music classification, Time domain, Time domain analysis, Voice activity detection, Zero crossing rate, Zero-crossings

Abstract:

Zero-crossing rate (ZCR) is one of the most important acoustic feature that has been widely used in voice activity detection, voiced/unvoiced speech classification, music/speech classification image processing, optics, biomedical engineering, radar and fluid mechanics. The conventional time-domain ZCR measurement is sensitive to nonstationary noise. In this paper, we present a noise robust zerocrossing rate computation method. The number of zerocrossings is computed in autocorrelation-domain rather than in time-domain. The accuracy of the proposed measurement method is evaluated using both sinusoidal and speech waveforms under different signal-to-noise ratios (SNRs). Experimental results show that the proposed ZCR measurement method achieves better accuracy than the conventional ZCR measurement methods in the literature. © 2011 IEEE.

Notes:

cited By (since 1996)0; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@512c6db6 ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@3bd6f15c Through org.apache.xalan.xsltc.dom.DOMAdapter@1c7fedb5; Conference Code:89416

Cite this Research Publication

P. Kathirvel, Manikandan, M. S., Senthilkumar, S., and Soman, K. P., “Noise robust zerocrossing rate computation for audio signal classification”, in TISC 2011 - Proceedings of the 3rd International Conference on Trendz in Information Sciences and Computing, Chennai, 2011, pp. 65-69.