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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.

All blog posts by Tomer Badug

Audio / Voice / Speech
Environmental Noise Cancellation (ENC): Part 2 – Noise types and classic methods for Speech Enhancement
Posted On April 27, 2023 Tomer Badug

In part 1, we discussed some important concepts related to sound processing and environmental noise cancellation that are essential to …
Audio / Voice / Speech
Enhancing Audio Quality with Environmental Noise Cancellation in Sound Processing – Part 1 – Introduction
Posted On March 21, 2023 Tomer Badug

In today's fast-paced world, clear and effective communication is more important than ever. With the widespread use of telephones, video …