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Recognition of Noise Quantity by Linear Predictive Coefficient of Speech Signal  

Choi, Jae-Seung (Department of Electronics Engineering, Silla University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.46, no.2, 2009 , pp. 120-126 More about this Journal
Abstract
In order to reduce the noise quantity in a conversation under the noisy environment it is necessary for the signal processing system to process adaptively according to the noise quantity in order to enhance the performance. Therefore this paper presents a recognition method for noise quantity by linear predictive coefficient using a three layered neural network, which is trained using three kinds of speech that is degraded by various background noises. The performance of the proposed method for the noise quantity was evaluated based on the recognition rates for various noises. In the experiment, the average values of the recognition results were 98.4% or more for such noise using Aurora2 database.
Keywords
Linear predictive coefficient; recognition rate; noise quantity; neural network;
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