MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641081099 A) filed by Sasi Institute Of Technology & Engineering; K. Sandeep; I. Usha; A. Durga Bhavani; and A N V K Swarupa on July 01, 2026, for Deepfake Audio Detection Using Machine Learning.
Inventors include Sasi Institute Of Technology & Engineering; K. Sandeep; I. Usha; A. Durga Bhavani; and A N V K Swarupa.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The present invention involves improvements in deep learning (DL) and machine learning (ML) models that have been made possible by recent developments in herbal language processing and laptop imagination and vision. It is now possible to create audio streams of actual people or modify the voice and visual characteristics of certain people to fit unique situations because of the development of generative antagonistic networks (GANs). Therefore, deep fakes are mainly used to spread propaganda and false content material that could harm the popularity of a person or agency on social media systems. Recent studies have targeted the advent and detection of deep-fake audio streams. Most of the existing studies focus on detecting deep-fake content, but the introduction system is underreported. To fill the gaps within the research, this observe proposes a complete have a look at numerous ML/DL strategies for the creation, detection, and advent of deepfake items. We will examine publicly to be had datasets for deep fake detection with deep- fake models. We discuss the demanding situations of imposing the right techniques and models in practice and destiny studies areas. We have a look at IBMM, a specific have a look at that gives a multifaceted angle on deep faux signal detection.
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