Tuesday, November 19 • 11:00 - 11:50
A practical perspective on deep learning in audio software

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Deep learning technology is already all around us, from ubiquitous image classification, facial recognition, and of course, animoji. These techniques have already improved the state of the art in some areas of audio processing, including source separation and voice synthesis. How can we, as audio application developers, take advantage of these new opportunities? 

The goal of this talk is to provide a practical perspective on the design and implementation of deep learning techniques for audio software. We'll start with a very brief and high-level overview about what deep learning is, and then survey some of the application areas created by the technology. We'll keep the discussion grounded on specific case studies rather than abstractions. 

Attendees should leave with a better understanding of what it would take, practically, to integrate modern deep learning techniques into their audio software products. 

avatar for Russell McClellan

Russell McClellan

Principal Software Engineer, iZotope
Russell McClellan is Principal Software Engineer at iZotope, and has worked on several product lines, including RX, Insight, Neutron, Ozone, and VocalSynth. In his career, he's worked on DAWs, applications, plug-ins, audio interfaces, and web applications for musicians.

Tuesday November 19, 2019 11:00 - 11:50 GMT
Lower River Room Puddle Dock, London EC4V 3DB