Method, system, and medium for affective music recommendation and composition

A processor-executed method for generating an audio stream for inducing an affective state change in a listener, comprising:

• identifying a current affective state of the listener;
• identifying a target affective state of the listener;
• identifying an affective trajectory from the current affective state to the target affective state;
• using a trained segment identification machine learning model to identify a first audio segment likely to induce in the listener a desired affective response corresponding to at least an initial portion of the affective trajectory when the first audio segment is presented to the listener as an auditory stimulus;
• using a trained affect inference machine learning model to infer an inferred new affective state based on the current affective state and a set of audio feature values of the first audio segment;
• identifying an updated affective trajectory from the inferred new affective state to the target affective state;
• using the trained segment identification machine learning model to identify a subsequent audio segment likely to induce in the listener a subsequent desired affective response corresponding to at least an initial portion of the updated affective trajectory when the subsequent audio segment is presented to the listener as an auditory stimulus;
• generating the audio stream based at least in part on the first audio segment and the subsequent audio segment;
• sending audio stream data based on the audio stream to a listener device;
• and
• causing the audio stream to be presented to the listener via at least one speaker of the listener device.