Atoms of EVE′: A Bayesian basis for esthetic analysis of style in sketching
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Computer Music Journal
Information dynamics: patterns of expectation and surprise in the perception of music
Connection Science - Music, Brain, Cognition
Towards a computational model of melody identification in polyphonic music
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
IEEE Transactions on Audio, Speech, and Language Processing
Automatic reduction of MIDI files preserving relevant musical content
AMR'08 Proceedings of the 6th international conference on Adaptive Multimedia Retrieval: identifying, Summarizing, and Recommending Image and Music
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Understanding and modeling human experience and emotional response when listening to music are important for better understanding of the stylistic choices in musical composition. In this work, we explore the relation of audio signal structure to human perceptual and emotional reactions. Memory, repetition, and anticipatory structure have been suggested as some of the major factors in music that might influence and possibly shape these responses. The audio analysis was conducted on two recordings of an extended contemporary musical composition by one of the authors. Signal properties were analyzed using statistical analyses of signal similarities over time and information theoretic measures of signal redundancy. They were then compared to Familiarity Rating and Emotional Force profiles, as recorded continually by listeners hearing the two versions of the piece in a live-concert setting. The analysis shows strong evidence that signal properties and human reactions are related, suggesting applications of these techniques to music understanding and music information-retrieval systems. © 2006 Wiley Periodicals, Inc.