Yael Segal

Yael Segal-Feldman is an AI Researcher at aiOla and a PhD candidate in Computer Science at the Technion–Israel Institute of Technology. Her research specializes in machine learning and deep learning, with a particular focus on the detection and localization of speech objects. She has made significant contributions in areas such as keyword spotting, spoken term detection, and Diadochokinetic (DDK) tasks, advancing the field of AI-driven speech recognition technologies.