Systems searching musical compositions on Internet databases more and more often add an option of selecting emotions to the basic search parameters, such as title, composer, genre, etc. Finding pieces with a similar emotional distribution throughout the same composition is an option that further extends the capabilities of search systems. In this study, we presented a comparative analysis of musical performances by using emotion tracking. A dimensional approach of dynamic music emotion recognition was used in the analysis. Values of arousal and valence, predicted by regressors, were used to compare performances. We analyzed the emotional content of performances of 6 musical works. The obtained results confirm the validity of the assumption that tracking and analyzing the values of arousal and valence over time in different performances of the same composition can be used to indicate their similarities.
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