Dissertation Index
Author: Demske, Thomas R. Title: Recognizing Melodic Motion in Musical Scores: Rules and Contexts Institution: Yale University Begun: March 1987 Completed: March 1993 Abstract: Describes a computer-implemented formal system for recognizing surface melodic connections in selected score excerpts. The system comprises two parts: rules for determining which if either of two potential melodic connections is stronger; and an algorithm which merges such pairwise distinctions into a meaningful whole, whereby some melodic connections emerge as more salient within the musical context. The algorithm is resilient; rules may misfire or clash without skewing the final results. Voice-leading issues are engaged empirically at the note level, and the process of listening is formally cast as a complex, evolving dynamic among competing determinants of melodic activity. Keywords: voice-leading, melody, AI, perception, foreground, segmentation TOC: 1 Introduction 2 Assessing Melodic Connections 3 Definitions, Assumptions, Limitations 4 The Line Building Algorithm 5 The Rule Base 6 Applying the Rule Base 7 The System at Work 8 Conclusion Contact: 118 Bishop Street, #E New Haven, CT 06511 (203) 777-3116 |