The COVID 19 virus has been mutating at a rapid phase, due to which the golden standard of testing reverse transcription-polymerase chain reaction (RT-PCR) has been producing false negatives at an alarming rate. The inability of the test to detect the mutated strain of the COVID 19 virus using RT-PCR has made it very difficult for diagnosis and hence an alternative solution is needed. Soundbased diagnosis is one effective alternative diagnosis tool. The lack of a large dataset is one challenging aspect for the development of a sound-based diagnosis tool. We look forward to using dataset augmentation as a very effective technique for a selected classification problem: visual perception and also speech recognition tasks. The Generative Adversarial Networks (GANs) have been showing high success for applications in terms of synthesizing realistic images, they're seen rarely in audio generation-based applications Due to the lack of data sets available to develop an accurate model in this paper we showcase an application of WaveGAN, which is a variant of GAN which helps in raw audio synthesis during a supervised setting for the classification task, by developing a method showcasing one of the approaches for augmenting speech datasets by using Generative adversarial networks (GANs). We deploy the WaveGAN on the existing data sets collected from opensource collections to develop synthetic, larger data set to build an accurate sound-based diagnosis tool.

The evolution of digital era and improvements in technology have enabled the growth of a number of devices and web applications leading to the unprecedented generation of huge data on a day-to-day basis from many applications such as industrial automation, social networking cites, healthcare units, smart grids, etc. Artificial intelligence acts as a viable solution for the efficient collection and analyses of the heterogeneous data in large volumes with reduced human effort at low time. Machine learning and deep learning subspaces of artificial intelligence are used for the achievement of smart intelligence in machines to make them intelligent based on learning from experience automatically. Machine learning and deep learning have become two of the most trending, groundbreaking technologies that enable autonomous operations and provide decision making support for data processing systems. The chapter investigates the importance of machine learning and deep learning algorithms in instilling intelligence and providing an overview of machine learning, deep learning platforms.