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Recognition of emotional content in music is an issue that arises recently. Music received by live applications are often exposed to noise, thus prone to reducing the recognition rate of the application. The solution proposed in this study is a robust music emotion recognition system for live applications. The proposed system consists of two major parts, i.e. subspace-based noise suppression and a...
In this paper, we propose an emotion profile based music recommendation system. In the proposed algorithm, two emotion profiles are constructed using decision value in support vector machine (SVM), and based on short term and long term features respectively. The recognized emotion, emotion profile, and personal historical query results are fed into the recommendation module to generate the recommended...
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