A.I. is the DJ - A Digital Disk Jockey powered by Artificial Intelligence

Submitted by George Krasadakis
3 months ago
An intelligent app for music funs which can serve songs and capture the reaction of the audience in order to keep optimizing song selection and increase the energy. Users benefit by a great music experience matching their preferences and mood when there is a party or other social arrangement supported by music.
An intelligent, digital DJ performing live, through continuous interaction with its audience.
Context:

A crowded party; the AI DJ serves songs while capturing audiences reactions through (a) motion detection (mobile device based; also any wearable smart device like a watch or similar) (b) single or massive gestures (c) sound-based reactions (d) facial recognition-based patterns (e) concurrency-based patterns.

Starting with ‘trial and error’, the system starts serving songs to the audience; a good reaction to a song gives extra time to it and also guides the AI DJ on finding similar or related or associated songs (progressively increasing or maintaining audience engagement). A poor reaction makes the AI DJ to quickly replace it with something better.


The AI DJ optimizes song selection based on audience response and according to a gamification process. The AI DJ receives data about audience members and determines a state and dynamic of the audience in response to particular songs played.

The AI DJ is able to identify audience leaders or laggards from gamification data or patterns about audience members. The gamification scores may be computed from the reactions or behaviors of audience members. The AI D J automatically adapts song selection logic based on the state and dynamic of the audience in general and/or based on the reactions of people with certain gamification scores.

Data relating states, dynamics, gamification scores, and tracks or sequences of tracks from previous events served by the AI DJ may help plan and optimize the songs selected and may be stored for planning future presentations. The AI DJ may adapt to audience preferences in real-time as controlled, at least in part, by gamification logic and related feedback loops.

The AI DJ may receive real-time feedback from sensors (e.g., cameras, microphones, accelerometers) positioned at a venue or carried by attendees and make determinations about a track or mix or the event itself, based on the feedback. The sensors may be hardware sensors or software sensors.

The AI DJ may base track and/or mix decisions on a combination of feedback from the audience as a whole and key members of the audience. An AI DJ may consider gamification patterns that enables identifying significant audience members (e.g., most socially relevant attendee) and weighting their reactions to a track more heavily than less socially relevant attendees.
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