Low-complexity and efficient classification of voiced/unvoiced/silence for noisy environments

Abstract

This paper describes a low-complexity and efficient speech classifier for noisy environments. The proposed algorithm utilizes the advantage of time-scale analysis of the Wavelet decomposition to classify speech frames into voiced, unvoiced and silence classes. The classifier uses only one single multidimensional feature which is extracted from the Teager… (More)

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