Voice Control for Low Power Edge Devices
In this blog, we will discuss the why and how of voice control deployment on low power and resource constrained …
Ido Gus
Ido Gus serves as CEVA’s Deep Learning Senior Team Leader at the Sensor and Audio Business Unit. He brings over 15 years of experience, spanning software development, algorithm optimization, deep learning algorithm research, and project management, and he specialized in the application of deep learning algorithms to audio and sound processing. Ido holds a B.Sc. in Information Systems Engineering from Ben Gurion University of the Negev, and an M.BA. from the Hebrew University of Jerusalem. He is passionate about leading cutting edge deep learning projects from research to optimized implementation on edge devices.
