Deep Learning-Enhanced Emotion-Based Music System with Age and Language Personalization
Kariveda Trisha, Padigela Srinithya Reddy, Nichenametla Hima Sree, Tripty Singh, Mansi Sharma · 2024
Music plays an important role in understanding human mood, and the facial expressions acts as a quick way of non-linguistic communication. The emotion-based music playing system provide users with options to choose his/her preferred age and language. Uses deep learning techniques and detects seven emotions from a person’s face using a web camera. Based on the three aspects age, language, and detected emotion the song playlists are recommended. A Convolutional Neural Network (CNN) model is trained on a dataset to achieve the accurate emotion detection. The designed System allows the users to interact with website and view their identified emotions ensuring enhanced user experience.