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The Classyfier

The Classyfier by Benedict Hubener, Stephanie Lee and Kelvyn Marte at the Copenhagen Institute of Interaction Design (CIID) is a table that utilizes AI to detect the social scenario (through beverages being consumed) and reciprocates with appropriate music. This project intrigued me, as I was mesmerized with how technology is able to clearly detect and differentiate the difference between the “clanking” of various beverages. And I could see this experimental project being applied to enhance the capabilities of voice recognition technologies such as “echo” and “siri”; currently they are only able to do what they are told to do, but perhaps in the near future they would be able to read (through AI) different situations and act accordingly. The project brief indicated that the table contains a built-in microphone which catches characteristic sounds and compares these sounds to a predetermined catalogue. This catalogue contains three classes – hot beverages, wine and beer, with each class having its own associated playlist that one can navigate through by knocking on the table. Other algorithmic aspects include machine learning, Wekinator, Processing & OFX collection. The creator’s artistic sensibilities does manifest in a tangible or visual manner but rather musically.

Link |

The Classyfier – AI detects situation and appropriates music

Classyfier

(both pages include video)

Work | Benedict Hubener, Stephanie Lee & Kelvyn Marte, unknown year