Review of Speech Enhancement Methods using Generative Adversarial Networks

The goal of speech enhancement is to restore the quality of noise affected speech by removing the noise. The purpose of speech enhancement is to increase the damaged speech signal’s comprehensibility and overall perceptual quality. Given the nature of the noise, which is very non-stationary, speech enhancement is a difficult challenge. In recent years, speech enhancement has been accomplished using Generative Adversarial Networks (GANs). This review includes GAN based speech enhancement algorithms, data sets and evaluation metrics. We also discuss the issues and compare the performance of the different speech enhancement methods.