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Publication Type : Conference Paper
Publisher : TISC 2011 - Proceedings of the 3rd International Conference on Trendz in Information Sciences and Computing
Source : TISC 2011 - Proceedings of the 3rd International Conference on Trendz in Information Sciences and Computing, Chennai, p.65-69 (2011)
ISBN : 9781467301329
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
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Electronics and Communication
Year : 2011
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.
Cite this Research Publication : P. Kathirvel, Manikandan, M. S., Senthilkumar, S., and Dr. 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.