『AI Music Podcast』のカバーアート

AI Music Podcast

AI Music Podcast

著者: Ran Chen
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AI Music Podcast Get your daily five-minute shot of the future of sound. Each weekday, host breaks down the hottest breakthroughs in generative audio, music-making AI tools, machine-learning composition techniques, and the knotty legal questions that come with them. Whether you’re a producer hunting for the next creative superpower or a curious listener wondering how algorithms remix your favorite songs, we’ll keep you in the loop—fast. Expect bite-sized news round-ups, mini-deep-dives on research papers, quick creator tips, and occasional guest pop-ins from the engineers, artists, and entrepreneurs shaping tomorrow’s music industry. No fluff—just actionable insights, delivered in the time it takes to finish your coffee. 🎧 New episodes every weekday morning. Subscribe, review, and share to support indie AI audio! — Love what you hear? Follow me on YouTube: https://www.youtube.com/@chenran818 and stream my tracks: https://ffm.bio/chenran818Copyright 2025 Ran Chen
エピソード
  • AI Music & Spotify in 2025: How to Hack the Algorithm for Discovery
    2025/07/13
    The world of AI music is exploding, but creating the music is only half the battle. How do you ensure your AI-generated tracks don't just get lost in the noise of the world's biggest streaming platform? This episode provides a deep dive into the specific, actionable strategies you need to optimize your music for Spotify's sophisticated 2025 algorithm. Too many creators fall into the trap of generating hundreds of songs, flooding the platform and hoping something sticks, only to be met with crushing silence. We move beyond generic advice and focus on the data-driven tactics that matter now. For instance, we break down a case study of an artist who went from zero traction to algorithmic success by shifting from a volume-based approach to a quality-and-strategy-focused one, highlighting the specific metrics that made the difference. Key Questions from this Episode: 1. Why is a high stream count becoming a misleading metric for the 2025 algorithm? 2. What is "playlist-add velocity" and why is it your most important new metric? 3. How can the "human touch" in an AI track become a quantifiable signal for Spotify? 4. Beyond genre and mood, what new metadata points will be crucial for discovery in 2025? 5. Is it better to release one perfectly polished track per month or an entire album generated in a day? 6. How does Spotify's AI differentiate between authentic listener engagement and low-quality streams? 7. What specific pre-release signals carry the most weight for triggering playlists like Discover Weekly? 8. Can the specific AI tool you use to generate music impact your song's performance on Spotify? Follow my YouTube: https://www.youtube.com/@chenran818 Listen to my music on Apple Music, Spotify or other platforms: https://ffm.bio/chenran818
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    3 分
  • AI Orchestral Gold: A Step-by-Step Strategy for Film & TV Sync Revenue
    2025/07/12
    The world of film and TV sync licensing offers a massive opportunity for AI-generated music, but turning your powerful orchestral pieces into consistent revenue requires a precise, industry-focused strategy. This episode moves beyond composition and provides a clear, step-by-step guide to the business of sync. We break down the technical, administrative, and networking steps that are essential for success. From mastering your tracks for broadcast standards to embedding the perfect metadata that gets you discovered, we cover the critical details. Learn how to navigate music libraries, sync agents, and the all-important PROs to ensure you get paid for every single play. Consider this scenario: You've crafted a brilliant AI orchestral score for a climactic scene. You send it to a music supervisor but never hear back. The issue likely isn't your music; it's the professional package. Was it mastered to the required -24 LUFS for television? Did you include the separate instrumental stems that a video editor desperately needs for flexibility? Was it registered with a PRO so the network knows they can legally track and pay for it? This episode is designed to solve these exact problems and turn your compositions into licensable assets. Key Takeaways From This Episode: 1. What are the non-negotiable mastering standards for getting your music accepted by broadcast television? 2. How can you use metadata to make your AI tracks instantly discoverable by music supervisors? 3. What's the difference between pitching to a music library versus a sync agent, and which is right for you? 4. Why is providing stems (separate instrumental tracks) a secret weapon for securing a placement? 5. How do you find the right music supervisors without resorting to cold emails? 6. What is a "cue sheet" and why is it the most important document for your long-term income? 7. How do you register with a PRO like ASCAP or BMI, and why is it impossible to get paid residuals without it? 8. What are the two distinct types of payment in a sync deal, and how do you negotiate them? 9. How can the speed of AI help you build a catalog that competes with established composers? 10. What specific legal assurances do you need to provide when licensing AI-generated music? Follow my YouTube: https://www.youtube.com/@chenran818 or listen to my music on Apple music, Spotify or other platforms: https://ffm.bio/chenran818
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    4 分
  • AI Music Gold Rush: How to Sell Procedural Scores on the Unity Asset Store
    2025/07/11
    This episode provides a comprehensive guide for composers and developers looking to monetize their AI-driven procedural music systems. We explore the shift from selling static tracks to selling powerful, dynamic music generation tools on the Unity Asset Store, one of the largest marketplaces for game developers. We break down the entire process, from packaging your C# scripts and creating user-friendly custom inspectors, to writing compelling promotional copy and demonstrating your asset's value through video. This is your blueprint for turning a complex AI system into a commercially successful product for the massive indie game development market. **What You'll Learn:** - How do you package an AI music generator into a user-friendly Unity asset that developers will love? - What are the secrets to writing promotional copy that sells an "infinite" and "living" soundtrack? - Why is a video demonstration showing real-time adaptation absolutely non-negotiable for your store page? - What is the fundamental difference between selling a music creation tool versus a simple collection of MP3s? - How can you effectively build a community and handle post-sale support to maximize your asset's ratings and reputation? - What are the key components, from scripts to soundfonts, that must be included in your asset package? - How do you price an asset that offers potentially infinite content? - What technical and legal considerations should you keep in mind for procedurally generated content? Follow my YouTube: https://www.youtube.com/@chenran818 or listen to my music on Apple music, Spotify or other platforms: https://ffm.bio/chenran818
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    3 分

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