Deep Learning for DSP Engineers: Challenges and Tricks for Audio AI

Explore the challenges and techniques of developing AI-based musical instruments and audio tools in this 42-minute conference talk from the Audio Developer Conference. Gain insights into the design process, required knowledge, and learning curve for AI tools from a DSP engineer's perspective. Survey current AI applications in real-time music making, learn about dataset creation and model deployment for real-time audio, and discover how these concepts were applied to PhD projects like the HITar and Bessel's Trick. Ideal for DSP engineers looking to bridge the gap between acoustic instruments and synthesizers using AI for audio analysis and synthetic sound generation.

Deep Learning for DSP Engineers: Challenges & Tricks for Audio AI - Franco Caspe & Andrea Martelloni