Music Emotion Recognition for Intelligent and Efficient Recommendation Systems

The emotional imbalance is one of the most common problems of today's stressful life. The present demanding world needs people to work more. Therefore, it has become essential to balance emotions as it directly impacts health. It is observed that music is one of the best medicines to get relief from stress. Pleasurable music makes the brain to release dopamine which helps for emotional responses. Different frequencies of sound trigger different emotions in the brain. Music has a vast range of genres, and to heal different emotions, therefore, we need different musics as well. Right choice of music can be very helpful for face recognition. In this paper, the performance of proposed method is evaluated empirically. Recognizing the emotions of the user, and then played music (Stress Busters). A mood of the user can be identified through the facial expressions and voice input of the user. A combination of facial expression and voice gives improved result to analyze the emotion of the user and provide with the optimized music.