This research project focuses on developing a Speech Emotion Detection system on System on Chip using Xilinx versal VCK 190 chip to accurately detect and classify emotions in real-time for the application of Cyber Security to avoid AI based speech interaction by machine instead of human beings in online transactions fraud. The goal is to create an interactive and user-friendly application that can analyze speech input and provide immediate feedback on the detected emotions. The project aims to leverage advanced algorithms and machine learning techniques to extract meaningful features from speech signals and employ classification models to accurately identify emotions. By incorporating real-time processing capabilities, the system will provide instantaneous results, enabling users to receive immediate feedback on their emotional states or analyze the emotional content of recorded speeches. Features that recognize emotions can elevate your cybersecurity software, significantly expanding its capabilities and improving its competitiveness Duration: 3 years
Authority: SERB
Amount: 41,08,245