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http://dx.doi.org/10.6109/jkiice.2016.20.9.1673

Background Noise Classification in Noisy Speech of Short Time Duration Using Improved Speech Parameter  

Choi, Jae-Seung (Department of Electronic Engineering, Silla University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.20, no.9, 2016 , pp. 1673-1678 More about this Journal
Abstract
In the area of the speech recognition processing, background noises are caused the incorrect response to the speech input, therefore the speech recognition rates are decreased by the background noises. Accordingly, a more high level noise processing techniques are required since these kinds of noise countermeasures are not simple. Therefore, this paper proposes an algorithm to distinguish between the stationary background noises or non-stationary background noises and the speech signal having short time duration in the noisy environments. The proposed algorithm uses the characteristic parameter of the improved speech signal as an important measure in order to distinguish different types of the background noises and the speech signals. Next, this algorithm estimates various kinds of the background noises using a multi-layer perceptron neural network. In this experiment, it was experimentally clear the estimation of the background noises and the speech signals.
Keywords
Speech Recognition; Stationary Noise; Non-Stationary Noise; Noisy Environment; Improved Speech Parameter;
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Times Cited By KSCI : 3  (Citation Analysis)
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