Changes between Initial Version and Version 1 of cs/LaboratorniSeminar/2019MusicologySears

Timestamp:

Feb 16, 2019, 1:09:13 PM (5 years ago)

Author:

Ales Horak

Comment:

--

cs/LaboratorniSeminar/2019MusicologySears

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+= Collocations in music? What systematic musicology can learn from corpus linguistics
+
+== Author: David R. W. Sears
+
+== Monday, March 11, 2019
+== NLP lab, room B203
+
+
+=== Abstract:
+
+Like language, much of the world’s music exhibits certain design features—namely, recurrence,
+syntax, and recursion—that both exploit and reflect the psychological mechanisms by which
+listeners organize sensory stimuli (Fitch 2006). As a result, allusions to principles of
+linguistic organization abound in music research (e.g., Lerdahl & Jackendoff 1983; Rohrmeier
+2011). Yet despite recent strides by the linguistics community to discover potentially analogous
+organizational principles of natural languages using data-driven methods, applications of
+statistical modeling procedures have yet to gain sufficient traction in music research.
+
+
+
+To resolve this issue, this paper considers how string-based methods for the discovery of
+collocations in natural language corpora might generalize to recurrent chord progressions in
+symbolic music corpora. To that end, I present a modeling pipeline that (1) selects an appropriate
+representation scheme for the symbolic encoding of chords; (2) applies the skip-gram method to
+identify 3- and 4-gram types consisting of potentially non-contiguous members; (3) excludes types
+reflecting “parts of music” (POM) that are rarely associated with interesting musical expressions
+(Manning & Schutze, 1999); and (4) calculates contingency tables and extended association measures
+that rank each type according to the statistical attraction between its members (Kilgarriff et
+al., 2012; Petrovic et al., 2010). In short, this pipeline produces convincing n-best lists for
+the discovery of meaningful harmonic progressions, though evaluating these lists using annotated
+corpora has yet to be conducted in the musicology community. I conclude by discussing possible
+limitations and future directions associated with the language metaphor in systematic musicology.
+
+
+
+=== Bio:
+
+David Sears is Assistant Professor of Interdisciplinary Arts and Director of the Performing Arts
+Research Lab at Texas Tech University. Upon completing his PhD in music theory at !McGill
+University in Montreal, Canada, he held a post-doctoral research position in the Institute of
+Computational Perception at Johannes Kepler University in Austria. His research interests include
+music perception and cognition, computational approaches to music theory and analysis, emotion and
+psychophysiology, and sensorimotor synchronization. Recent publications have appeared in the
+Quarterly Journal of Experimental Psychology, Music Perception, the Psychology of Music,
+the Journal of New Music Research, and the International Journal of Psychophysiology.