GDC + VRDC 2019 Session Scheduler

View, browse and sort the ever-growing list of sessions by pass type, track, and format. With this Session Scheduler, you can build your schedule in advance and access it during the show via export or with the GDC Mobile App, once live. Sessions do fill up so please arrive early to sessions that you would like to attend. Adding a session to your schedule does not guarantee you a seat.

Introduction to Machine Learning for Game Audio

John Byrd (CEO, Gigantic Software)

Pass Type: All Access, GDC Conference + Summits, GDC Conference, Audio Conference + Tutorial - Get your pass now!

Topic: Audio, Programming

Format: Session

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.

Takeaway

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.

Intended Audience

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.