Automatic Music Emotion Classification Using a New Classification Algorithm

Music emotion is a special emotion that is aroused by music which is a media that can convey human affection. Music emotion classification is a popular topic in recent years. The mood of a music clip describes emotional expression. It is helpful in music understanding, music retrieval and some other interesting music related application. In this paper, a method is proposed using a framework named information cell mixture models (ICMM) to automate the task of music emotion classification. This framework has potential application in both unsupervised concept learning and supervised classification learning. This framework is acceptable for music mood classification because emotion is a vague concept and has a cognitive structure. The application of ICMM is also suitable for music emotion classification.