Music Recommendation using Emotion Recognition
Pradeep Sudhakaran, Pranav Kizhakkevellat Nair, Anand Suraj · 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon) · 2022
Music has become an integral part of our lives. While emotions may be easy to describe, the intricacies of emotions are harder to determine when one is experiencing them. Emotions are easier to understand retrospectively. While experiencing strong emotions, one can easily get overwhelmed and bring rise to feelings like loneliness, and other unhealthy emotions which can progress towards mental illness. This project enables one to perceive emotions through music, thereby helping them realize and acknowledge their emotions. This in turn serves as a medium to help one realize that they are not alone because ultimately everyone listens to music. An emotion recognition algorithm is used with the help of CNN, to determine the specific sentiment the individual is currently feeling and then recommend specially made playlists of songs for them. When someone is going through a rough patch, it isn't always obvious that they want to open up to others about how they feel. As a result, a person can get over their feelings faster with the aid of AI and ML that analyzes a database of their facial expressions to determine how they are feeling.