Mood Based Music Categorization System for Bollywood Music
Amey Ujlambkar, Omkar Upadhye, Akshay Deshpande, Gunwant Suryawanshi
Abstract
Music shares a very special relation with human emotions. We often choose to listen to a song or music which best fits our mood at that instant. In spite of this strong correlation, most of the music applications today are devoid of providing the facility of mood-aware playlist generation. We wish to contribute to automatic identification of mood in audio songs by utilizing their spectral and temporal audio features. Our current work involves analysis of various features in order to learn, train and test the model representing the moods of the audio songs. Focus of our work is on the Indian popular music pieces and our work continues to analyse, develop and improve the algorithms to produce a system to recognize the mood category of the audio files automatically.
Keyword
Music; Mood; Classification; mood detection.