In this episode of The Q&AI Podcast, host Bob Friday welcomes Nagarjun Srinivasan, cofounder of Lune and former Juniper engineer, to explore how AI is transforming the music industry. From winning an innovation award at South by Southwest to developing AI-powered learning tools, Nagarjun shares insights on how technology is reshaping music education, creation, and performance.
They discuss AI’s role in music transcription, gamification for skill building, the ethical challenges of AI-generated music, and the future of AI-assisted content creation. Tune in to discover how AI is making music more accessible and interactive for both beginners and professionals.
Key points covered:
Winning at South by Southwest: How Lune started as an experimental prototype and went on to win an Innovation Award for Human-Computer Interaction
AI for music learning: AI’s role in transcribing music, generating real-time feedback, and making learning more engaging through gamification
Gamification and muscle memory: How AI-powered games help musicians develop dexterity and improve faster
AI for content creators: How AI is streamlining music production, mixing, and mastering, making professional-quality content more accessible
The copyright debate: The ethical and legal implications of AI-generated music, including lawsuits against companies using unlicensed music for training
AI vs human musicians: Will AI ever replace human musicians, or will it always be a tool for enhancing creativity?
The role of hardware in AI music: Why specialized hardware and data collection are crucial for advancing AI-driven music experiences
Where to find Nagarjun Srinivasan
LinkedIn – https://www.linkedin.com/in/nagarjun-srinivasan/
Where to find Bob Friday
LinkedIn – https://www.linkedin.com/in/bobfriday/
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We hope you enjoyed this episode!
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Chapters
Chapter 1: Introduction to AI and music
• Bob introduces the episode and the guest, Nag, cofounder of Lune
Chapter 2: South by Southwest and Lune’s journey
• Nag discusses the South by Southwest festival, their first customer, and winning the innovation award for human-computer interaction
Chapter 3: Gravity Balls and music learning
• Nag explains the Gravity Balls game and how it helps users learn musical notes
Chapter 4: Transition from engineer to music startup founder
• Bob and Nag talk about Nag’s decision to leave his engineering job and start a music venture
Chapter 5: AI’s role in music learning
• Nag describes how AI can assist in music learning, including transcription and chord detection
Chapter 6: Gamification and muscle memory
• Discussion on how gamification can aid in developing muscle memory for playing musical instruments
Chapter 7: AI and music startups
• Nag mentions notable music startups like Songster and Moises that are working on transcription models
Chapter 8: AI instructors and real music tutors
• Bob and Nag explore the potential of AI instructors complementing real music tutors
Chapter 9: AI in content creation
• Nag talks about how AI can help in post-production and content creation for musicians
Chapter 10: AI vs human musicians
• Discussion on whether AI can replace human musicians and the current state of AI-generated music
Chapter 11: Copyright protection and AI training
• Nag addresses the issue of copyright protection in training AI models with music
Chapter 12: Specialized hardware for AI in music
• The need for specialized hardware to gather data for AI in music and how it impacts the creation of software modules
Chapter 13: Conclusion
• Bob wraps up the episode and thanks Nag and the audience
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