AI Audio for Voice Enhancement: Deep into the Deep – Part 3
It is Tomer again with more about ENC! Throughout this journey, we've laid the foundation with an introduction and explored …
Tomer Badug
Tomer Badug is an Audio Deep Learning and Algorithms Researcher at CEVA. He holds a Bachelor of Science degree in Electrical Engineering and a Master of Science degree in Electrical Engineering, both obtained from Tel Aviv University.
With a strong background in electrical engineering and a deep understanding of acoustics and audio processing, Tomer has dedicated his career to researching and developing cutting-edge algorithms for audio applications. His work at CEVA has focused on leveraging the latest advancements in deep learning and artificial intelligence to design and implement advanced audio processing systems for a wide range of applications.
With his expertise in deep learning and his passion for innovation, Tomer is constantly pushing the boundaries of audio technology, paving the way for new advancements in the field. He is committed to staying at the forefront of his industry and continues to be a leading voice in developing cutting-edge algorithms for audio applications.
