GAN_based_TTS. The GAN is a very powerful technique works on the functionality of generator G and discriminator D based on game theory. This involves the network of the generator which maps and estimate the input features of the samples The other one is discriminator that tries to find the closest match for the generated sample to that of the original sample and identifies the dissimilarities between the two. So we can say that the generator is described to fool the discriminator. The Generator generates the linguistic features of the given text and discriminator optimizes the original feature vector and generated the feature vector