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John Byrd (CEO, Gigantic Software)
Pass Type: All Access, GDC Conference + Summits, GDC Conference, Audio Conference + Tutorial - Get your pass now!
Topic: Audio, Programming
Vault Recording: TBD
Audience Level: Intermediate
Machine learning, and deep learning especially, is changing the way that audio professionals work. This talk summarizes the most relevant research in this exciting field, and describes novel applications of machine learning, specifically for interactive audio. You'll see demonstrations and code for: automatic feature extraction, classification, speaker detection, emotion detection, and character synthesis. And, you'll get pointers to papers and open source implementations of these algorithms. In addition, you'll get a list of rules for what will and what will not be possible with deep learning, until the year 2030.
Attendees will learn radical new techniques for generating and processing all kinds of sounds automatically. Additionally, attendees will learn what can, and what cannot, be done with machine learning in game audio until 2030.
This presentation is for audio professionals, including scripters and programmers who are working on triple-A content. Programmers, audio directors, audio designers, and futurists will benefit as well. The speakers will use some math lingo, but keep it to a minimum.