Speech Enhancement Using Neural Network

Syed Minhaj Ali¹ and Bhavna Gupta²

¹M-TECH (Computer Science) RGPV University, Bhopal (India).

²Department of Computer Science, All Saint`s College of Technology, Bhopal (India)

ABSTRACT:

This paper describes a neural network speech enhancement system using Multilayer Perceptron (MLP) network and trained using the back propagation algorithm (BPA). Speech enhancement is generally refers to map noisy speech into cleaner speech. Noisy speech signals are obtained by adding random noise to the clean signals .Speech enhancement is then performed on the noisy signals by using the ADALINE. Here we show that neural nets can be used to significantly boost recognition accuracy, without retraining the speech recognizer.

KEYWORDS: Speech processing; adaptive neural network; MLP for Noise Reduction

Copy the following to cite this article: Ali S. M, Gupta B. Speech Enhancement Using Neural Network. Orient. J. Comp. Sci. and Technol;4(1)

Copy the following to cite this URL: Ali S. M, Gupta B. Speech Enhancement Using Neural Network. Orient. J. Comp. Sci. and Technol;4(1). Available from: http://www.computerscijournal.org/?p=2413

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