『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
  • Infinite Features: How AI Voice Models Are Revolutionizing Artist Collaborations

    Infinite Features: How AI Voice Models Are Revolutionizing Artist Collaborations
    2025/11/29
    The traditional artist feature is slow, expensive, and limited by geography. What if you could break down those barriers instantly? This episode explores the groundbreaking use of AI voice models to simulate featured artists, creating a world of infinite, immediate collaborations. We're moving beyond simple deepfakes and into a new economy of licensed digital voices. This technology enables unprecedented creative partnerships, allowing an indie producer in one country to feature a vocalist from another, all without leaving their studio. This isn't just a creative tool. it's a new model for generating collective streaming revenue. Consider the viral AI-generated Drake track. It was a creative feat that earned its creator nothing and sparked a legal nightmare because it was unauthorized. Now, imagine an alternative pioneered by artists like Grimes. what if you could legally license the AI voice of a talented vocalist, create the perfect topline for your track, and have a fully cleared, revenue-generating collaboration ready in days? That's the powerful, ethical future we're diving into. Key Takeaways: - How can AI voice models cut collaboration time from months to minutes? - What is the "Grimes model" for ethically licensing your voice and splitting royalties? - Can an indie artist really "feature" a major star using AI without getting sued? - What are the key legal hurdles to overcome before releasing an AI collaboration? - How does this technology change the economics of music for independent producers? - Will listeners accept music made with an AI-simulated voice as authentic? - Could AI voice licensing become a bigger revenue stream for artists than streaming? - What tools are available right now to create these AI vocal features? Follow my YouTube: https://www.youtube.com/@chenran818 or listen to my music on Apple music, Spotify or other platforms: https://ffm.bio/chenran818. Interested in how much money I made from AI music? Checkout this report: http://ranchen.org/music-earnings.html
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    2 分
  • The Automated Sync Machine: How AI Builds Music Catalogs for Ads and Film

    The Automated Sync Machine: How AI Builds Music Catalogs for Ads and Film
    2025/11/28
    In this episode, we explore the revolutionary impact of artificial intelligence on the world of sync licensing. We break down how AI is automating every step of the process, from generating vast music catalogs to tagging them with detailed metadata and enabling creators to discover the perfect track in seconds. This is the new frontier for musicians, filmmakers, and content creators. We move beyond the traditional, gatekept model of music licensing to a new ecosystem where speed, volume, and precision are key. This shift is creating unprecedented opportunities for indie artists and AI music producers to get their work featured in ads, films, and viral videos, tapping into a multi-billion dollar market that was once out of reach. **What You'll Learn:** - Why is the traditional sync licensing process broken for small creators? - How can AI automatically analyze and tag a thousand songs in less than an hour? - What is "semantic search" and how does it let you find music with a YouTube link? - Can you really build a profitable, licensable music catalog from scratch using AI? - How are low-budget production houses finding affordable, high-quality music without a music supervisor? - What's the complete, automated workflow from music generation to getting paid? - Is AI creating a new "long-tail" market in the sync industry? Follow my YouTube: https://www.youtube.com/@chenran818 Listen to my music on Apple Music, Spotify or other platforms: https://ffm.bio/chenran818 Interest in how much money I made from AI music? Checkout this report: http://ranchen.org/music-earnings.html
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    2 分
  • AI Music: Go Global with Multilingual Cover Songs

    AI Music: Go Global with Multilingual Cover Songs
    2025/11/27
    Have you ever created a song you believed had global potential, only to be stopped by the language barrier? The high costs of translation, hiring foreign vocalists, and studio time have traditionally made international expansion impossible for most independent artists, leaving significant revenue on the table. This episode breaks down how AI is completely shattering that barrier. We explore the revolutionary technology that allows you to translate your lyrics, adapt them culturally, and even have them sung in a new language using a clone of your own voice. Imagine your hit song being released in Spanish, Japanese, and French, all sounding authentically performed by you, without you ever speaking a word of those languages. This is the new reality of global music creation. What you'll learn: - How can AI clone your unique voice to sing in any language? - What is the difference between simple translation and true AI-powered cultural localization for lyrics? - How can you create localized remixes that cater to specific international music tastes? - What is the strategy to test your music's appeal in a new country before a full marketing push? - How does AI dramatically reduce the cost and time required to produce multilingual cover songs? - Can you truly maintain your artistic identity across AI-generated international versions? - What are the key AI tools that make multilingual music creation accessible to everyone? - How can you start building new, diversified revenue streams from non-English speaking countries today? Follow my YouTube: https://www.youtube.com/@chenran818 or listen to my music on Apple music, Spotify or other platforms: https://ffm.bio/chenran818 or interest in how much money I made from AI music? checkout this report: http://ranchen.org/music-earnings.html
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    2 分
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