A Review Paper On Developing A Real-Time Deepfake Voice Synthesis Framework: A Study In Artificial Intelligence

Abstract

Artificial intelligence, particularly Machine Learning and Deep Learning techniques, are becoming more prevalent in today's technological and social landscape. These advances have significantly aided the development of Speech Synthesis, also known as Text-To-Speech, in which speech is artificially produced from text using computer technology. This is where Voice Cloning technology comes in, which allows for the creation of artificial synthetic speech that resembles a specific human voice.

The study will start by analysing how several deep learning methods, such as recurrent neural networks (RNN) and transformers can be used for voice synthesis. These methods' efficacy will be contrasted with that of more conventional voice synthesis techniques.The project will thereafter concentrate on developing and putting into use a realtime deepfake speech synthesis system.The synthesis quality and realism of the suggested framework will be assessed. To boost the effectiveness of the suggested framework, transfer learning will also be investigated. The planned study will evaluate the suggested framework's possible uses in the media and entertainment sectors. The possibility for harmful or dishonest use of the technology will also be investigated, along with the ethical and societal ramifications of the suggested framework. Additionally, the research will investigate the usage of GANs and multispeaker models for voice synthesis in deepfake technologies. The proposed framework's scalability and capacity for handling huge datasets will be investigated. Finally, the research will investigate the use of deepfake framework to improve accessibility for individuals with speech impairments. Overall, this system aims to make significant contributions to the field of deepfake voice synthesis, and to provide a framework for the real time generation of high quality and realistic synthetic voices.

Arealtime deepfake speech synthesis framework will be investigated and developed as part of this research project employing Artificial intelligence. Industry sectors including entertainment, media, and customer service could be completely transformed by the adoption of deep learning techniques for speech synthesis in deepfake technology. To accomplish highquality and realis tic speech synthesis in realtime, however, several issues still need to be resolved.