Deezer, a leading French music streaming service, has developed an AI detection tool to identify fully AI-generated music. The tool, capable of detecting tracks from popular models like Suno and Udio, is designed to flag these tracks and remove them from algorithmic and editorial recommendations, prioritizing human-created music. Deezer plans to further expand the tool's capabilities to encompass a wider range of AI music models and eventually identify deepfaked voices.
Deezer, a leading French streaming service, says that roughly 10,000 fully AI-generated tracks are being delivered to the platform every day, equating to about 10% of its daily music delivery.
This finding emerged from an AI detection tool Deezer developed and filed two patent applications for in December, the company says. Now, the service is developing a tagging system for the fully AI-generated works it detects in order to remove them from its algorithmic and editorial recommendations and boost human-made music.
Among those critics are the three major music companies — Universal Music Group, Sony Music Entertainment and Warner Music Group — whichtop AI music models Suno and Udio for copyright infringement last summer. In their complaint, the three companies said Suno and Udio could generate music that would “saturate the market with machine-generated content that will directly compete with, cheapen and ultimately drown out the genuine sound recordings on which built.
“As artificial intelligence continues to increasingly disrupt the music ecosystem, with a growing amount of AI content flooding streaming platforms like Deezer, we are proud to have developed a cutting-edge tool that will increase transparency for creators and fans alike,” says, CEO of Deezer.
“We set out to create the best AI detection tool on the market, and we have made incredible progress in just one year,” says, Deezer’s chief innovation officer. “Tools that are on the market today can be highly effective as long as they are trained on data sets from a specific generative AI model, but the detection rate drastically decreases as soon as the tool is subjected to a new model or new data.
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