ADAPTIVE MUSIC SELECTION USING MACHINE LEARNING OF NOISE FEATURES, MUSIC FEATURES AND CORRELATED USER ACTIONS

An adaptive music system includes at least one processing circuit operative to characterize ambient noise features of digitized ambient noise obtained from a microphone circuit associated with a user device and characterizes music features of digitized music being played through the user device to a speaker. The at least one processing circuit is further operative to generate a music playout command responsive to processing the characterized ambient noise features and the characterized music features through a machine learning model that has been trained based on a combination of historical user actions to control music playout, historically characterized ambient noise features that are correlated in time to the historical user actions, and historically characterized music features that are correlated in time to the historical user actions. The at least one processing circuit is further operative to control music playout through the user device responsive to the music playout command.