Abstract: A device, method, and medium for integrating monaural and binaural beats into music are provided. The music is analyzed to determine key, root tone, and spectral range. It is then remixed with monaural beats and/or binaural beats at frequencies based on a desired entrainment frequency and the root tone and lowest dominant frequency range of the music. Additional harmonics of the beats in higher octaves may be integrated into the music as well using mixing and/or equalization.

Abstract: A method, system, and medium for affective music recommendation and composition. A listener's current affective state and target affective state are identified, and an audio stream, such as a music playlist, is generated with the intent of effecting a controlled trajectory of the listener's affective state from the current state to the target state. The audio stream is generated by a machine learning system trained using data from the listener and/or other users indicating the effectiveness of specific audio segments, or audio segments having specific features, in effecting the desired affective trajectory. The audio stream is presented to the user as an auditory stimulus. The machine learning system may be updated based on the affective state changes induced in the listener after exposure to the auditory stimulus.

Abstract: A device, method, and medium for integrating monaural and binaural beats into music are provided. The music is analyzed to determine key, root tone, and spectral range. It is then remixed with monaural beats and/or binaural beats at frequencies based on a desired entrainment frequency and the root tone and lowest dominant frequency range of the music. Additional harmonics of the beats in higher octaves may be integrated into the music as well using mixing and/or equalization.