Emotify: An AI-Powered Emotion-Based Music Recommendation System

This paper presents a practical implementation of a music system based on speech emotion recognition. The proposed model will recommend live playlists based on the user’s emotion where the emotion is extracted from speech input and an AIdriven system generates music playlists as per the recognized emotion class. ConvNet is used to classify the emotion from the speech input, and K Means is used to cluster music together into playlists. The music is recommended such that the mood of the user is elevated.