Anonymous
ID: btDl8RFv
6/22/2025, 11:26:28 PM No.508381545
every song should be traced to person who made it - no anonymous songs
https://www.theverge.com/ai-artificial-intelligence/686767/music-industry-ai-song-detection-tracking-licensing
https://www.theverge.com/2024/9/5/24236841/youtube-ai-detection-tools-creators-singing-deepfakes
https://www.musicbusinessworldwide.com/as-ai-made-music-explodes-deezer-lays-out-strategy-to-identify-ai-tracks-and-weed-out-illegal-and-fraudulent-content-on-its-platform/
Platforms like YouTube and [French music streaming service] Deezer have developed internal systems to flag synthetic audio as it's uploaded and shape how it surfaces in search and recommendations. Vermillio and Musical AI are developing systems to scan finished tracks for synthetic elements and automatically tag them in the metadata. Vermillio's TraceID framework goes deeper by breaking songs into stems — like vocal tone, melodic phrasing, and lyrical patterns — and flagging the specific AI-generated segments, allowing rights holders to detect mimicry at the stem level, even if a new track only borrows parts of an original.
Some companies are going even further upstream to the training data itself. By analyzing what goes into a model, their aim is to estimate how much a generated track borrows from specific artists or songs. That kind of attribution could enable more precise licensing, with royalties based on creative influence instead of post-release disputes...
Deezer has developed internal tools to flag fully AI-generated tracks at upload and reduce their visibility in both algorithmic and editorial recommendations, especially when the content appears spammy. Chief Innovation Officer Aurélien Hérault says that, as of April, those tools were detecting roughly 20 percent of new uploads each day as fully AI-generated — more than double what they saw in January.
https://www.theverge.com/ai-artificial-intelligence/686767/music-industry-ai-song-detection-tracking-licensing
https://www.theverge.com/2024/9/5/24236841/youtube-ai-detection-tools-creators-singing-deepfakes
https://www.musicbusinessworldwide.com/as-ai-made-music-explodes-deezer-lays-out-strategy-to-identify-ai-tracks-and-weed-out-illegal-and-fraudulent-content-on-its-platform/
Platforms like YouTube and [French music streaming service] Deezer have developed internal systems to flag synthetic audio as it's uploaded and shape how it surfaces in search and recommendations. Vermillio and Musical AI are developing systems to scan finished tracks for synthetic elements and automatically tag them in the metadata. Vermillio's TraceID framework goes deeper by breaking songs into stems — like vocal tone, melodic phrasing, and lyrical patterns — and flagging the specific AI-generated segments, allowing rights holders to detect mimicry at the stem level, even if a new track only borrows parts of an original.
Some companies are going even further upstream to the training data itself. By analyzing what goes into a model, their aim is to estimate how much a generated track borrows from specific artists or songs. That kind of attribution could enable more precise licensing, with royalties based on creative influence instead of post-release disputes...
Deezer has developed internal tools to flag fully AI-generated tracks at upload and reduce their visibility in both algorithmic and editorial recommendations, especially when the content appears spammy. Chief Innovation Officer Aurélien Hérault says that, as of April, those tools were detecting roughly 20 percent of new uploads each day as fully AI-generated — more than double what they saw in January.
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