A Novel Music Emotion Classification Method Using SVM
Keywords:
Music Emotion Recognition, Support vector machine, Linear Regression , Tamil Music Database.Abstract
The Emotion is crucial to living and learning. Music plays a important role on the emotion of the human thoughts. In this study, The emotion classification for the Tamil music database is created and analyzed. For obtaining the data, the applied feature is extracted and Analyzed. Emotion classification analysis represents the user`s perspective and effectively meets the user's retrieval need. The proposed model is based on Support Vector Machine (SVM) which will search and optimize the efficient feature for the Retrieval of Emotions. In this work two datasets are created they are Tamil Music Feature Library and Tamil Music Emotion Library. Secondly, the comparison of Linear Regression , Support vector machine and Support vector machine ( SVM) which provide that SVM has the best performance on analyzing the correct feature which will classify the maximum number of correctly classified songs. Finally, SVM model is built for the Tamil Music Dataset and the emotion recognition for each song were experimented. Those experimented Results show that our Model is effective in terms of retrieval Performance.
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