Skip to content
Artwork for Google AI: Release Notes
Google AI: Release Notes · February 18 · 36 min

Inside Lyria 3, Google's music generation model

Jeff Chang, Myriam Hamed Torres, and Jason Baldridge from the Google DeepMind team join host Logan Kilpatrick for a deep dive into Lyria 3, Google’s latest music generation model. Their conversation explores the transition from simple audio generation to 1:00 - Defining music generation models 1:40 - Lyria as a new instrument 3:05 - Connecting language and creative intent 5:08 - Guest backgrounds and musical journeys 7:57 - Demo: Instrumental funk jam 8:29 - Bridging the gap for non-musicians 12:03 - Demo: Exploring lyrics and vocals 15:07 - The magic of iterative co-creation 15:40 - Meeting users across the expertise spectrum 17:01 - Empowering new musical expressions 18:29 - Emotional and communal impact of music 19:51 - Opportunities for developers and community 21:09 - Real-time vs. song generation models 23:23 - Creating experimental sonic landscapes 25:08 - Demo: Capturing unexpectedness and energy 28:33 - Evaluating music through taste and expertise 31:30 - The diligence of music evaluation 31:52 - The future of Lyria and AI-first workflows 35:07 - Articulating creative vision through languag

0:00-36:38

transcript

No transcript — this publisher did not publish one.

show notes

Jeff Chang, Myriam Hamed Torres, and Jason Baldridge from the Google DeepMind team join host Logan Kilpatrick for a deep dive into Lyria 3, Google’s latest music generation model. Their conversation explores the transition from simple audio generation to

1:00 - Defining music generation models
1:40 - Lyria as a new instrument
3:05 - Connecting language and creative intent
5:08 - Guest backgrounds and musical journeys
7:57 - Demo: Instrumental funk jam
8:29 - Bridging the gap for non-musicians
12:03 - Demo: Exploring lyrics and vocals
15:07 - The magic of iterative co-creation
15:40 - Meeting users across the expertise spectrum
17:01 - Empowering new musical expressions
18:29 - Emotional and communal impact of music
19:51 - Opportunities for developers and community
21:09 - Real-time vs. song generation models
23:23 - Creating experimental sonic landscapes
25:08 - Demo: Capturing unexpectedness and energy
28:33 - Evaluating music through taste and expertise
31:30 - The diligence of music evaluation
31:52 - The future of Lyria and AI-first workflows
35:07 - Articulating creative vision through languag