HBO and The Ringer's Bill Simmons hosts the most downloaded sports podcast of all time, with a rotating crew of celebrities, athletes, and media staples, as well as mainstays like Cousin Sal, Joe House, and a slew of other friends and family members who always happen to be suspiciously available.
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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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146 episodes