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Estimation method of noise intensity by neural network for application in speech enhancement  

Choi Jae-Seung (Department of Information and Communication Engineering, Osaka City University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.42, no.3, 2005 , pp. 129-136 More about this Journal
Abstract
To reduce the noise in the noisy speech, it is desirable to change the parameters of the speech processing system according to the noise intensity to reproduce a good quality speech. This paper proposes an estimation method of noise intensity using a three layered neural network, which is able to learn the three graded speeches that is degraded by white noise or road noise. Experimental results demonstrate that the noise intensity could be estimated by the neural network. Even if the speakers and speech data are different from the training data, estimation rates for the noise intensity can be estimated by the neural network with an average accuracy of $95\%$ or more for white noise.
Keywords
Speech enhancement; Noise reduction; Neural network; Estimation method; Noise intensity;
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Times Cited By KSCI : 1  (Citation Analysis)
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