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 a model that acts as a collaborative instrument, providing creators with fine-grained control over mood, instrumentation, and vocals. Learn more about the technical challenges of prompt adherence in music, the importance of "vibe" in human evaluations, and the future of layered, iterative music composition. Chapters: 0:00 - Intro 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 language Listen to this podcast: Apple Podcasts → https://goo.gle/3Bm7QzQ Spotify → https://goo.gle/3ZL3ADl Watch more Release Notes → https://goo.gle/4njokfg Subscribe to Google for Developers → https://goo.gle/developers Speaker: Jeff Chang, Myriam Hamed Torres, Jason Baldridge, Logan Kilpatrick Products Mentioned: Google AI, Gemini, Genie