2026-10-25T14:22:34Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/4929 2021-12-13T06:22:21Z 1582963302567:1597824273898 user-ucsy

Classification of Music Emotion with Gaussian Mixture Model (GMM) Ko, Myat Ko Music is a link between cognition and emotion, andpeople are not able to share same feeling for a song.There has a need to process vast qualities of musicaldata. One of the operations is music emotionclassification which is very popular today and anautomatic extraction is needed, relating to variousaspects of music. Music emotion recognition througha learning model is considered in this paper. Inorder to capture the salient nature of music signalsfeatures such as cepstral is applied. Classification ofmusic signals is considered by Gaussian MixtureModel (GMM). In this approach, Thayer’s model isadopted for the description of emotions. This musicmood detection approach is validated through anexperimental study on a dataset containing 60famous popular songs from English albums. 2010-12-16 http://hdl.handle.net/20.500.12678/0000004929 https://meral.edu.mm/records/4929