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Speech Enhancement in Noisy Speech Using Neural Network  

Choi, Jae-Seung (Department of Information and Communication Engineering, Osaka City University)
Publication Information
Abstract
In speech recognition under a noisy environment, it is necessary to construct a system which reduces the noise and enhances the speech. Then it is effective to imitate the human auditory system which has an excellent analytical spectrum mechanism for speech enhancement. Accordingly, this paper proposes an adaptive method using the auditory mechanism which is called lateral inhibition. This method first estimates the noise intensity by neural network, then adaptively adjusts both the coefficients of the lateral inhibition and the adjusting coefficient of amplitude component according to the noise intensity for each input frame. It is confirmed that the proposed method is effective for speech degraded by white noise, colored noise, and road noise based on the spectral distortion measurement.
Keywords
Speech enhancement; Noise reduction; Lateral inhibition; Neural network;
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