MUSIC RECOMMENDATION BASED ON FACIAL EMOTION RECOGNITION
Mr Chakrapani D S, Sidrath Iram, Suchitra R Bhat Agni, L Supritha, S Leelavathi · IJARCCE · 2023
The development of a Music Recommendation System involved the utilization of the FER-2013 and Age, Gender (Facial Data) datasets.The system utilizes the CNN architecture, commonly employed for such purposes, to train three separate models: Emotion, Gender, and Age.To enhance the models' performance, additional layers are incorporated into the training phase.These models are subsequently employed as classifiers.To predict the user's mood, age, and gender, a snapshot of the user captured through the camera is forwarded to the trained models.Based on the outcomes of these classifiers, various playlists sourced from a database are suggested to the user.The goal is to create a functional and user-friendly environment for music selection.Once the playlists are proposed, the user can select their desired playlist and begin listening to the recommended music.