Martin Swanholm

About Me

Martin is a software developer and DSP engineer with over 30 years of experience, currently focusing on practical, real-world applications of machine learning in audio. His work emphasizes getting the most out of available hardware and compute resources, ensuring solutions are efficient and accessible to a wide range of users. He is currently developing effective tools for audio restoration, like phase-coherent frequency-domain models and multi-task learning models that improve speech off-line or interactively in real time.

Martin’s journey in digital audio began in the 1990s, and over the years, he’s worked on everything from basic signal processing to full multimedia systems. His approach is rooted in pragmatism—using techniques that work, whether simple or advanced, to solve real problems.

Martin excels at breaking down complex concepts into clear, actionable steps, making his presentations valuable for beginners looking to understand audio processing with machine learning. He’s committed to showing how practical, tried-and-true methods can yield strong results without requiring cutting-edge hardware or expertise, making his sessions approachable for all skill levels.