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This paper discusses an approach for the feature extraction for audio mood classification which is an important and tough problem in the field of music information retrieval (MIR). In this task the timbral information has been widely used, however many musical moods are characterized not only by timbral information but also by musical scale and temporal features such as rhythm patterns and bass-line...
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