Connecting the Perception of Emotion to Music Signals
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Determining the emotional impact of a particular musical excerpt can be challenging when dealing with human perceptions. It is not possible to ensure that each person will have a comparable experience. In addition, cultural differences may influence musical preference. This dissertation studies the linear relationship between signal processing data extracted from a musical excerpt and user perceived emotion data in order to classify the musical excerpt by the emotion it evokes. When using only perceived emotion ratings that fell within one standard deviation of the mean rating, we were able ...