Speech Enhancement Algorithms: a Brief Review

In this paper, the aim of speech enhancement algorithms is to improve the quality or intelligibility of the noisy speech signals by using different enhancement algorithms. Many speech enhancement algorithms are designed to suppress additive background noise. This review paper presented the basic of spectral subtraction algorithm, minimum mean square error, wiener algorithm and TSDD algorithm, and performance evaluation of various modified decision-directed approach. This paper provides valuable hints for analyzing and optimizing noisereduction algorithm. The speech enhancement methods aimed at suppressing the background noise are based on one way or the other on the estimation of the background noise. If the background noise is evolving more slowly than the speech, i.e., if the noise is more stationary than the speech, it is easy to estimate the noise during the pauses in speech. This paper also reports the subjective and objective tests.