Teaching

Courses taught by the group. Each links to its lecture notes or course page.

Digital signal processing techniques for music analysis, synthesis, and transformation — from classic synthesis methods to modern neural audio.

Fundamental techniques for analyzing and processing signals with statistical methods, including estimation theory, detection, and adaptive filtering.

A mathematical framework for modeling random phenomena over time, with applications in signal processing for sound, images, music, and language.

Simulate and measure acoustic environments virtually — room acoustics, auralization, and immersive audio for extended realities.