Emotion based Music Recommendation System using Deep Learning Model

Abstract

The ability to read a person's emotions from their face is crucial. Using a camera, the necessary input is immediately taken from the subject's face. This input may be used, among other things, to extract data that can be used to infer a person's mood. The musical selections fit the “mood” determined from the source supplied before may then be obtained using this data. This reduces the time -consuming and laborious effort of manually classifying songs into various categories and assists in creating a playlist that is suitable for a particular person depending on their emotional characteristics. The Music Thespian depends on Facial Expressions and aims to scout out and comprehend the data before building a playlist according to the specified parameters. To construct an emotion-based music system, the suggested system is designed to identifying human emotions. The article explains the techniques currently in use by music players to identify emotions, the approach that is used with our music player, and the most effective manner to make use of our emotion detection technology. A quick explanation of how the systems operate, create playlists, and classify emotions is provided.