Abri, F., Gutierrez, L. F., Datta, P., Sears, D. R. W., Namin, A. S., & Jones, K. S. (2021). A comparative analysis of modeling perceived and induced emotions in sonification. Electronics, 10(20), 2519. doi: 10.3390/electronics10202519

Forrest, D., Beavers, J., Clifton, K., & Sears, D. R. W. (2021). Review of The Routledge Companion to Music Theory Pedagogy. Journal of Music Theory Pedagogy.

Harasim, D., Finkensiep, C., Bigo, L., Giraus, M., Leve, F., Sears, D. R. W., Shanahan, D., & Rohrmeier, M. (2021). Music cognition: The complexity of musical structure. In Proceedings of the Annual Meeting of the Cognitive Science Society, 43. Vienna, Austria. pdf link

Sears, D. R. W. (In press). String-based methods for tonal harmony. In D. Shanahan, J. A. Burgoyne, & I. Quinn (Ed.), Oxford Handbook of Music & Corpus Studies. Oxford: Oxford University Press. pdf link

Sears, D. R. W., & Forrest, D. (2021). Triadic patterns across classical and popular music corpora: Stylistic conventions, or characteristic idioms?” Journal of Mathematics and Music, 15(2), 140–153. doi: 10.1080/17459737.2021.1925762

Sears, D. R. W., Verbeten, J. E., & Percival, H. M. (2021). Intonation discrimination for tonal chord sequences in a priming paradigm: Effects of target predictability and musical expertise. Auditory Perception & Cognition. doi: 10.1080/25742442.2021.1972744

Weintraub, M. S., & Sears, D. R. W. (2021). Why making matters online: The Pinterest-DIY data set. In Association of Internet Research (AoIR) Selected Papers of Internet Research, Online. doi: 10.5210/spir.v2021i0.12262

Abri, F., Namin, A. S., Sears, D. R. W., & Jones, K. (2020). Predicting emotions perceived from sounds. In Proceedings of the IEEE Conference on BigData 2020, 2057-64. Atlanta, Georgia. doi: 10.1109/BigData50022.2020.9377842

Sears, D. R. W., Spitzer, J., Caplin, W. E., & McAdams, S. (2020). Expecting the end: Continuous expectancy ratings for tonal cadences. Psychology of Music, 48(3), 358–375. doi: 10.1177/0305735618803676

Sears, D. R. W., & Widmer, G. (2020). Beneath (or beyond) the surface: Discovering voice-leading patterns with skip-grams.” Journal of Mathematics and Music, 15(3), 209–234. doi: 10.1080/17459737.2020.1785568

Sears, D. R. W., Pearce, M. T., Spitzer, J., Caplin, W. E., & McAdams, S. (2019). Expectations for tonal cadences: Sensory and cognitive priming effects. Quarterly Journal of Experimental Psychology, 72(6), 1422-38. doi: 10.1177/1747021818814472

Korzeniowski, F., Sears, D. R. W., & Widmer, G. (2018). "A large-scale study of language models for chord prediction." In Proceedings of the 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018). Calgary, Canada. doi: 10.1109/ICASSP.2018.8462285

Martens, P. (2018). Instructor's manual for The Musician's Guide to Music Fundamentals, 3rd ed. The Musician's Guide to Music Fundamentals, 3rd ed. New York, NY: W.W. Norton & Co.

Sears, D. R. W., Korzeniowski, F., & Widmer, G. (2018). "Evaluating language models of tonal harmony." In Proceedings of the 19th International Society for Music Information Retrieval (ISMIR), 211–217. Paris, France. pdf link

Sears, D. R. W., Pearce, M. T., Caplin, W. E., & McAdams, S. (2018). Simulating melodic and harmonic expectations for tonal cadences using probabilistic models. Journal of New Music Research, 47(1), 29–52. doi: 10.1080/09298215.2017.1367010

Cancino-Chacón, C. E., Grachten, M., Sears, D. R. W., & Widmer, G. (2017). "What were you expecting? Using expectancy features to predict expressive performances of classical piano music." In Music and Machine Learning (MML), 7–12. Barcelona, Spain. pdf link

Martens, P. (2017). How near will you hear? A response to Benadon, ''Near-unisons in Afro-Cuban ensemble drumming." Empirical Musicology Review, 11(2). doi: 10.18061/emr.v11i2.5473

Martens, P. (2017). Night Mail in the 21st century. In D. Forrest, Q. Ankrum, S. Jocoy, & E. Yates (Eds.), Essays on Benjamin Britten from a Centenary Symposium. Cambridge Scholars.

Martens, P., Benadon, F. (2017). Musical structure: Time and rhythm. In R. Ashley & R. Timmers (Eds.), Routledge Companion to Music Cognition. London: Routledge Publishing.

Nikrang, A., Sears, D. R. W., & Widmer, G. (2017). "Automatic estimation of harmonic tension by distributed representation of chords." In Proceedings of the 13th International Symposium on Computer Music Multidisciplinary Research (CMMR), 21–32. Doi: 10.1007/978-3-030-01692-0_2

Ogg, M., Sears, D. R. W., Marin, M., & McAdams, S. (2017). Psychophysiological indices of music-evoked emotions in musicians. Music Perception, 35(1), 38–59. doi: 10.1525/mp.2017.35.1.38

Sears, D. R. W., Arzt, A., Frostel, H., Sonnleitner, R., & Widmer, G. (2017). "Modeling harmony with skip-grams." In Proceedings of the 18th International Society for Music Information Retrieval (ISMIR), 332–338. Suzhou, China. pdf link

Chuen, L., Sears, D. R. W., & McAdams, S. (2016). Psychophysiological responses to auditory change. Psychophysiology, 53(6), 891–904. doi: 10.1111/psyp.12633

Sears, D. R. W. (2015). The perception of cadential closure. In M. Neuwirth & P. Bergé (Eds.), What is a cadence? Theoretical and Analytical Perspectives on Cadences in the Classical Repertoire (pp. 251–283). Leuven: Leuven University Press. pdf link

Pre-2015

Sears, D. R. W., Caplin, W. E., & McAdams, S. (2014). Perceiving the classical cadence. Music Perception, 31(5), 397–417. doi: 10.1525/mp.2014.31.5.397 

Trochidis, K., Sears, D. R. W., Trân, D.-L., & McAdams, S. (2013). Psychophysiological measures of emotional response to romantic orchestral music and their musical and acoustic correlates. In M. Aramaki, M. Barthet, R. Kronland-Martinet, & S. Ystad (Eds.), From Sounds to Music and Emotions (pp. 44–57). Berlin, Heidelberg: Springer Berlin Heidelberg. pdf link

Sears, D. R. W. (2011). What is a cadence? Theoretical and analytical perspectives on cadences in the classical repertoire. Conference Report. Eighteenth Century Music, 8(2), 361–364. doi: 10.1017/S1478570611000248