{"id":720,"date":"2020-12-23T14:51:34","date_gmt":"2020-12-23T14:51:34","guid":{"rendered":"https:\/\/machine-learning.webcloning.com\/2020\/12\/23\/hey-mr-dj-super-hi-fis-ai-applies-smarts-to-sound\/"},"modified":"2020-12-23T14:51:34","modified_gmt":"2020-12-23T14:51:34","slug":"hey-mr-dj-super-hi-fis-ai-applies-smarts-to-sound","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2020\/12\/23\/hey-mr-dj-super-hi-fis-ai-applies-smarts-to-sound\/","title":{"rendered":"Hey, Mr. DJ: Super Hi-Fi\u2019s AI Applies Smarts to Sound"},"content":{"rendered":"
\n

Brendon Cassidy, CTO and chief scientist at Super Hi-Fi<\/a>, uses AI to give everyone the experience of a radio station tailored to their unique tastes.<\/p>\n

Super Hi-Fi, an AI startup and member of the NVIDIA Inception<\/a> program, develops technology that produces smooth transitions, intersperses content meaningfully and adjusts volume and crossfade. Started three years ago, Super Hi-Fi first partnered with iHeartRadio and is now also used by companies such as Peloton and Sonos.<\/p>\n

Results are showing that users like this personalized approach. Cassidy notes that they tested MagicStitch, one of their tools that eliminates the gap between songs, and found that customers listening with MagicStitch turned on spent 10 percent more time streaming music.<\/p>\n

Cassidy\u2019s a veteran of the music industry \u2014 from Virgin Digital to the Wilshire Media Group \u2014 and recognizes this music experience is finally possible due to GPU acceleration, accessible cloud resources and AI powerful enough to process and learn from music and audio content from around the world.<\/p>\n

Key Points From This Episode:<\/b><\/h2>\n