The new proprietary algorithm will enable users to turn any FM music station into a “music-only” experience without ads or DJ talk
Subscribers will now be able to listen to their favorite stations with or without DJ Talk via a new set of radio-preference controls
Auddia Inc., an AI first technology company that has built a proprietary AI platform for audio identification and classification to reinvent how consumers engage with audio, announced it will be implementing a new AI audio model within its faidr mobile application in order to provide users with even more control over their radio-listening experience.
The new model, dubbed the “binary AI model” internally, can allow subscribers to turn off both ads and DJ talk. This transforms any FM music station into wall-to-wall, uninterrupted music listening.
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The new feature, available only to subscribers of the faidr platform, will be accessible through a new set of radio preferences. Subscribers can change these settings whenever they choose, turning ads and DJ talk off and on at will.
“We’re always striving to innovate within the radio space,” said Auddia’s CTO Peter Shoebridge. “This functionality, built on our new binary AI model, delivers more control and helps transition radio listening from a historically passive to a more active experience for users.”
The new model and advanced settings are now live in iOS and will be available on Android next week. The company is optimistic that this new feature, which tested well in prototyping, will bolster the recent focus on subscription growth for faidr.
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“Radio has been a relatively stagnant landscape, especially when it comes to how fans can interact with content,” said Auddia’s CMO Theo Romeo. “Our goal has always been to preserve what fans love about radio but give them more customization over the experience. For some fans, a huge part of that experience is the DJ. For some, radio is a straightforward and effective curator of music. We want to ensure that, no matter where a fan finds themselves on that spectrum, they can engage with their favorite stations based on their personal preferences for listening.”
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Source – GlobeNewswire
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