Thomas Thebaud

Thomas Thebaud

Currently transitioning from the Johns Hopkins University, USA to the AMIAD, FR. I work on speech technologies, AI, and security, with a focus on speech anonymization, deepfake detection, speech-aware large language models, and speaker recognition. My research explores trustworthy and privacy-preserving speech processing, as well as national and international collaborations.

Machine Learning for Signal Processing (EN.520.612/EN.520.412)

400/600 Course, Johns Hopkins University, ECE, 2024

I served as a co-instructor for Machine Learning for Signal Processing for graduate and undergraduate students in the Department of Electrical and Computer Engineering in Fall 2024. The three-credit course met three times per week and enrolled 50 students.

The course focused on machine learning theory and algorithms for modeling, classifying, and retrieving information from complex real-world signals, including audio, speech, images, and video. Students completed Python programming assignments and a semester-long group project.