To compete with the success of TikTok and its music-enhanced short videos, Google has unveiled a new AI feature named Dream Track for YouTube Shorts creators.
This tool can generate complete songs, encompassing lyrics, melody, and accompaniment, mimicking the styles of renowned artists like Charlie Puth, Demi Lovato, Sia, and T-Pain, reported Wired.
To craft a 30-second clip with Dream Track, creators only need to enter a prompt explaining the type of music they want and then select the preferred artist style. This advancement in AI technology showcases Google’s effort to entice users away from TikTok, where AI tools for adding visual and audio effects have become increasingly popular.
YouTube is exploring ways to compensate artists whose work has contributed to training the music-generating algorithms behind Dream Track. The platform is considering sharing a portion of future ad revenue generated by videos featuring AI-generated audio, marking a unique for artists to profit from AI technology based on their creative contributors.
Dream Track relies on an AI algorithm, Lyria, developed by Google DeepMind, the unit dedicated to advancing the company’s capabilities in artificial intelligence. In August, YouTube announced establishing of an incubator program to collaborate with artists to explore innovative applications of generative AI.
In addition to powering Dream Track, Lyria has given rise to another tool called Music AI. This tool empowers artists participating in YouTube’s incubator program to create, remix, and modify tracks in novel ways, expanding the creative possibilities within the YouTube Shorts platform.
As concerns arise about using artists’ work in AI training data without proper permission or compensation, Google emphasises its commitment to addressing this issue. The company implemented a technology called Synth-ID, which adds inaudible watermarks to music generated using Lyria. This watermark serves as a means of identification, allowing Google to trace and credit artists whose work has contributed to Lyria’s training.
The introduction of Dream Track and Music AI aligns with the broader trend of AI tools proliferation across various creative domains, including images, text, and music. Despite the technological advancements, concerns persist within the artistic community about fair compensation and recognition for their contributions to AI systems’ training data.
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