Abstract
In many conventional voice activity detection (VAD) methods, a speech signal is assumed to be acquired in high quality. This paper describes a method of robust voice activity detection, which deals with speech signal in noise environment. The proposed VAD scheme explores the properties of modulation spectrum of human speech. Speech signal is split into frequency bands and filtered in the modulation frequency domain for noise level pre-reducing. Then, spectrum energy evaluation is performed and noise threshold is calculated. The proposed method provides robust speech detection in a varying noise environment. It can be used in speech enhancement and speech coding algorithms. Characteristics of the proposed method were investigated with different types of noisy speech.
This work was supported in part by Bialystok Technical University under the grant W/WI/2/04
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Shadevsky, A., Petrovsky, A. (2005). Bio-inspired voice activity detector based on the human speech properties in the modulation domain. In: Saeed, K., Pejaś, J. (eds) Information Processing and Security Systems. Springer, Boston, MA. https://doi.org/10.1007/0-387-26325-X_5
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DOI: https://doi.org/10.1007/0-387-26325-X_5
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