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Abstract

Speech is an important way of communication between humans. various types of noise like background noise, atmospheric disturbances, reverberation, babble noise etc, will degrade the speech signals. The speech signal should be clean and clear for several applications such as hearing aids, Tele-communication system. The main aim of speech enhancement is to improve speech quality by using various enhancement methods like filtering techniques, spectral subtraction technique, model based methods and wavelet based methods etc. This paper provides a complete study analysis on different speech enhancement techniques, The paper contains the study of several enhancement models with their results. A complete discussion on the enhancement of speech and reduction of Noises are provided from the basis of the previous proposed works related to several speech enhancement algorithms which had been observed from the year 1998 to 2019. This work proposes the using of machine learning techniques for enhancement of speech signals and through comparing several enhancement algorithm for better performance.

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