Speech Enhancement Techniques for Noisy Speech in Real World Environments

Abstract

Communication between computer andhuman has become increasingly popular in todayworld. Investigation of human emotion importance isalso growing in several domains. But under realworld condition, speech signal is often, corruptedwith several noise types and the accuracy ofrecognition is degraded from these noisy signal.Therefore this paper focuses on the speechenhancement techniques to develop emotionrecognition system for the noisy signal in the realworld environment. The various popularenhancement techniques are analyzed by adding thebackground noise to the clean signal using variousSNR. To test the accuracy of the system, the widelyused MFCC signal features are against with the SVMclassifier. Results after enhancing were compared tothat noisy signal and that clean signal to measure thesystem performance. The experimental results showthe best performance algorithm and all enhancementalgorithms improve the emotion recognition systemperformance under various SNRs level of real worldbackground noise