Slides linked here
SMT Plenary — References
Abbate, Carolyn. 2004. "Music—Drastic or Gnostic?" Critical Inquiry 30 (3): 505–36.
Acevedo, Stefanie, and Daniel Shanahan. 2026. "Music as Information." In The Oxford Handbook of Music and Corpus Studies, edited by Daniel Shanahan, John Ashley Burgoyne, and Ian Quinn. New York: Oxford University Press. https://doi.org/10.1093/oxfordhb/9780190945442.013.6.
Beaudoin, Richard. 2024. Sounds as They Are: The Unwritten Music in Classical Recordings. New York: Oxford University Press.
Born, Georgina. 2005. "On Musical Mediation: Ontology, Technology, and Creativity." Twentieth-Century Music 2 (1): 7–30.
Bourne, Janet. 2025. Who Listens? Experience, Cognition, and Musical Meaning. New York: Oxford University Press.
Burns, Chelsea. 2025. The Exotic Self: Mexican and Brazilian Modernists Abroad and at Home. New York: Oxford University Press.
Casini, Luca, Laura Cros Vila, David Dalmazzo, Anna-Kaisa Kaila, and Bob L. T. Sturm. 2026. "Data-Driven Analysis of Text-Conditioning in AI-Generated Music: A Case Study with Suno and Udio." Transactions of the International Society for Music Information Retrieval 9 (1): 194–209. https://doi.org/10.5334/tismir.273.
Cosme-Clifford, Nicole, James Symons, Kavi Kapoor, and Christopher Wm. White. 2023. “Musicological Interpretability in Generative Transformers.” In 2023 4th International Symposium on the Internet of Sounds (IS2), Pisa, 1–9. IEEE. https://doi.org/10.1109/IEEECONF59510.2023.10335202.
Cox, Arnie. 2016. Music and Embodied Cognition: Listening, Moving, Feeling, and Thinking. Bloomington: Indiana University Press.
De Souza, Jonathan. 2017. Music at Hand: Instruments, Bodies, and Cognition. New York: Oxford University Press.
Desinord, Richard. 2022. "That Gospel Sound: Harmony as Genre in Contemporary Black Church Music." PhD diss., Eastman School of Music, University of Rochester.
Gjerdingen, Robert O. 2009. "The Perfection of Craft Training in the Neapolitan Conservatories." Rivista di Analisi e Teoria Musicale 15 (1): 29–54.
Goldman, Andrew, Tyreek Jackson, and Paul Sajda. 2020. "Improvisation Experience Predicts How Musicians Categorize Musical Structures." Psychology of Music 48 (1): 18–34. https://doi.org/10.1177/0305735618779444.
Gotham, Mark, and Kris Shaffer. 2021. “Galant Schemas.” In Open Music Theory, version 2, by Mark Gotham, Kyle Gullings, Chelsey Hamm, Bryn Hughes, Brian Jarvis, Megan Lavengood, and John Peterson. VIVA Pressbooks. https://viva.pressbooks.pub/openmusictheory/chapter/galant-schemas/.
Hanslick, Eduard. 1854. Vom Musikalisch-Schönen: Ein Beitrag zur Revision der Ästhetik der Tonkunst. Leipzig: Rudolph Weigel.
Hentschel, Johannes, Emmanouil Karystinaios, Gerhard Widmer, and Markus Neuwirth. 2026.
“Dilemmadata: On the Interoperability of Heterogeneous Roman Numeral Datasets.” arXiv:2606.31595. https://arxiv.org/abs/2606.31595.
Huang, Cheng-Zhi Anna, Ashish Vaswani, Jakob Uszkoreit, Ian Simon, Curtis Hawthorne, Noam Shazeer, Andrew M. Dai, Matthew D. Hoffman, Monica Dinculescu, and Douglas Eck. 2019. “Music Transformer: Generating Music with Long-Term Structure.” Paper presented at the 7th International Conference on Learning Representations (ICLR), New Orleans. arXiv:1809.04281.
Huron, David. 2006. Sweet Anticipation: Music and the Psychology of Expectation. Cambridge, MA: MIT Press.
Kane, Brian. 2012. “Acousmate: History and De-visualised Sound in the Schaefferian Tradition.” Organised Sound 17 (2): 179–88.
Kostka, Stefan, and Dorothy Payne. 1984. Tonal Harmony, with an Introduction to Twentieth-Century Music. New York: Alfred A. Knopf.
Luong, Vivian. 2017. “Rethinking Music Loving.” Music Theory Online 23 (2).
Maler, Anabel. 2024. Seeing Voices: Analyzing Sign Language Music. New York: Oxford University Press.
Margulis, Elizabeth Hellmuth, and Andrew P. Beatty. 2008. “Musical Style, Psychoaesthetics, and Prospects for Entropy as an Analytic Tool.” Computer Music Journal 32 (4): 64–78.
Miller, Brian A. 2022. “Digital Scores, Algorithmic Agents, Encoded Ontologies: On the Objects of Musical Computation.” In Material Cultures of Music Notation: New Perspectives on Musical Inscription, edited by Floris Schuiling and Emily Payne. London: Routledge.
Morrison, Landon. 2024. “Timbre Space: On the Flat History of a Multidimensional Metaphor.” Music & Science 7. https://doi.org/10.1177/20592043241268720.
Palfy, Cora S. 2021. Musical Agency and the Social Listener. New York: Routledge.
Rehding, Alexander. 2016. “Instruments of Music Theory.” Music Theory Online 22 (4).
Reymore, Lindsey, Tanya Nestorova, Jacqueline Marchand Knight, and Kit Soden. 2026. “Timbre Semantics of the Singing Voice.” Music Perception, online first. https://doi.org/10.1525/mp.2026.2825017.
Rings, Steven. 2008. “‘Mystères limpides’: Time and Transformation in Debussy's Des pas sur la neige.” 19th-Century Music 32 (2): 178–208.
Sánchez-Kisielewska, Olga. 2016. “Interactions between Topics and Schemata: The Case of the Sacred Romanesca.” Theory and Practice 41: 47–80.
Saslaw, Janna. 1996. “Forces, Containers, and Paths: The Role of Body-Derived Image Schemas in the Conceptualization of Music.” Journal of Music Theory 40 (2): 217–43.
Schwitzgebel, Emily. 2025. “‘Cueing’ Your Playlist: Texture and Teleology in Post-Millennial Pop.” Music Theory Online 31 (1). https://doi.org/10.30535/mto.31.1.5.
Temperley, David. 2018. The Musical Language of Rock. New York: Oxford University Press.
Temperley, David. 2007. Music and Probability. Cambridge, MA: MIT Press.
Tinctoris, Johannes. 1477, 2013. Liber de arte contrapuncti. Edited by Ronald Woodley. In The Complete Theoretical Works of Johannes Tinctoris: A New Digital Edition, edited by Ronald Woodley, Jeffrey J. Dean, and David Lewis. Birmingham: Birmingham City University. http://earlymusictheory.org/Tinctoris/.
White, Christopher. 2022. The Music in The Data: Corpus Analysis, Music Analysis, And Tonal Traditions. New York: Routledge.
White, Christopher. 2025. The AI Music Problem: Why Machine Learning Conflicts with Musical Creativity. New York: Routledge.
White, Christopher William, Kavi Kapoor, Nicole Cosme-Clifford, James Symons, and Leonardo von Mutius. 2025. “Humans Perceive AI-Generated Music as Less Expressive than Comparable Human-Made Content.” SSRN preprint. https://doi.org/10.2139/ssrn.5087035.
Zbikowski, Lawrence M. 2002. Conceptualizing Music: Cognitive Structure, Theory, and Analysis. AMS Studies in Music. New York: Oxford University Press.