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Noise robust zerocrossing rate computation for audio signal classification

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4 Author(s)
P. Kathirvel ; Centre for Excellence in Computational Engineering and Networking, Amrita Vishwa Vidyapeetham, Tamilnadu, India-641112 ; M. Sabarimalai Manikandan ; S. Senthilkumar ; K. P. Soman

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.

Published in:

3rd International Conference on Trendz in Information Sciences & Computing (TISC2011)

Date of Conference:

8-9 Dec. 2011