Music AI partners with Audible Magic

11 December 2024 - Press release

Audible Magic’s gold standard music identification joins Music AI’s industry-leading stem separation to give rightsholders new music licensing superpowers 

Music AI and Audible Magic are teaming up to make music replacement easier thanks to AI. Films and television shows are often created with one licensing structure in one licensing territory–leading to issues later when rightsholders release the content in new territories. Now, thanks to this new partnership, production companies can use Audible Magic and Music AI’s high-caliber cinematic stem separation to tease out music, identify that music, and make informed decisions about whether to relicense or replace it. 

An innovative new tool, cinematic stem separation requires a finely tuned model that untangles dialog, background noise, and music in an existing video, film, or show to result in clean audio files that can then be edited independently. Music AI’s best-in-class model has outperformed other services in this area in side-by-side tests. 

This partnership aligns with recent activity for both companies as they work to build an ethical ecosystem for the future of audio innovation—inclusive of AI. “We’re creating an ecosystem of all of these companies that, while making sure we do things the right way, are at the bleeding edge of innovation,” explains Matt Henninger, Music AI’s VP of Business Development and Sales. “We’re incredibly excited to bridge our efforts with Audible Magic to make life easier for film and TV rightsholders to do more with their content.”

Known as the gold standard for automated content recognition (ACR), Audible Magic’s content identification services can help identify what song was used in the video. “This partnership just makes sense,” says Kuni Takahashi, Audible Magic’s CEO. “Audible Magic is proud to join Music AI’s network of state-of-the-art tools. This alliance offers creators unprecedented access to a suite of stackable tools in one place that is unified by a commitment to ethical AI practices.”