AI is advancing beyond traditional Natural Language Understanding (NLU) to recognize not just what is said, but how it’s said—adding emotional intelligence to human-machine interactions. This keynote explores how affective speech analysis empowers voice assistants to better understand tone, sentiment, and intent, creating more natural and lifelike communication.
Additionally, this evolution in cognitive AI is crucial in tackling emerging challenges like deepfakes. By analyzing vocal patterns and subtle behavioral cues, AI can differentiate between authentic and synthetic voices in real time, enhancing trust and security.
Rana Gujral, CEO of Behavioral Signals, will explore how these breakthroughs in cognitive AI and affective speech analysis are shaping lifelike communication, enabling secure interactions, and redefining the boundaries of human-machine collaboration.