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Redefining the Singer: How AI Vocal Cloning is Changing Music Forever

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Manage episode 488893818 series 3670994
Content provided by Ran Chen. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ran Chen or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
The traditional definition of a "singer" is being radically transformed by AI. In this episode, we explore the world of AI vocal cloning, a technology that can create a perfect digital replica of any singer's voice from a small audio sample. We unpack how this powerful tool is being used for both groundbreaking creativity and controversial deepfakes. This technology represents a massive fork in the road for the music industry. Is it a dream tool for artists, or a nightmare of copyright infringement and identity theft? We look at the case of the viral deepfake song "Heart on My Sleeve," which used AI clones of Drake and The Weeknd, causing an industry-wide panic. We then contrast this with the artist Grimes, who has embraced the technology by allowing anyone to use her AI voice in exchange for a share of the profits. Key Takeaways: - What happens when an AI can sing a hit song in your voice without your permission? - Could AI vocal cloning help artists who have lost their voice to illness or age? - Who owns the copyright to a song created with a cloned voice? - Will record labels start signing AI vocal models instead of human artists? - Can you still be considered a "vocalist" if you don't physically sing the notes? - How will we know the difference between a real and an AI-generated vocal performance? - What new creative possibilities does this technology unlock for music producers? - Is an artist who uses an AI clone of their own voice still the "singer"? 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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7 episodes

Artwork
iconShare
 
Manage episode 488893818 series 3670994
Content provided by Ran Chen. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ran Chen or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
The traditional definition of a "singer" is being radically transformed by AI. In this episode, we explore the world of AI vocal cloning, a technology that can create a perfect digital replica of any singer's voice from a small audio sample. We unpack how this powerful tool is being used for both groundbreaking creativity and controversial deepfakes. This technology represents a massive fork in the road for the music industry. Is it a dream tool for artists, or a nightmare of copyright infringement and identity theft? We look at the case of the viral deepfake song "Heart on My Sleeve," which used AI clones of Drake and The Weeknd, causing an industry-wide panic. We then contrast this with the artist Grimes, who has embraced the technology by allowing anyone to use her AI voice in exchange for a share of the profits. Key Takeaways: - What happens when an AI can sing a hit song in your voice without your permission? - Could AI vocal cloning help artists who have lost their voice to illness or age? - Who owns the copyright to a song created with a cloned voice? - Will record labels start signing AI vocal models instead of human artists? - Can you still be considered a "vocalist" if you don't physically sing the notes? - How will we know the difference between a real and an AI-generated vocal performance? - What new creative possibilities does this technology unlock for music producers? - Is an artist who uses an AI clone of their own voice still the "singer"? Follow my YouTube: https://www.youtube.com/@chenran818 or listen to my music on Apple music, Spotify or other platforms: https://ffm.bio/chenran818
  continue reading

7 episodes

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