Selected Publications

Ehrlich, S., Agres, K., Guan, C., & Cheng, G. In press. A closed-loop, music-based BCI for emotion mediation. PLOS ONE.

Chuan C.-H., Agres K., Herremans D.  2018.  From Context to Concept: Exploring Semantic Relationships in Music with Word2Vec. Neural Computing and Applications, Springer.   Preprint 

Angus N., Anderson H., Chen J.M., Lui S., Herremans D..  2018.  Minimally Simple Binaural Room Modelling Using a Single Feedback Delay Network. Journal of the Audio Engineering Society. 66(10):791-807. Preprint

Angus N., Anderson H., Chen J.M., Lui S., Herremans D.  2018.  Perceptual evaluation of measures of spectral variance. Journal of the Acoustical Society of America. 143(6):3300–3311. Preprint 

Herff, S. A., Dean, R. T., Schaal, N. K. 2018. Context effects of background babbling on memory for melodies. Musicae Scientia.

Beveridge, S., Cano, E., & Agres, K. 2018. Rhythmic Entrainment for Hand Rehabilitation Using the Leap Motion Controller. Proceedings of The 19th International Society of Music Information Retrieval (ISMIR) Conference. Paris, France. Preprint

Lin K.W.E., BT B, Koh E., Lui S., Herremans D.  2018.  Singing Voice Separation Using a Deep Convolutional Neural Network Trained by Ideal Binary Mask and Cross Entropy. Neural Computing and Applications, Springer. Preprint

Sokolovskis J., Herremans D., Chew E.  2018.  A Novel Interface for the Graphical Analysis of Music Practice Behaviours. Frontiers in Psychology - Human-Media Interaction. 9 Preprint

Agres K. 2018. Change detection and schematic processing in music. Psychology of Music, 47(2), 173-193. DOI:10.1177/0305735617751249 Preprint

Agres K, Abdallah S, Pearce M.  2018.  Information-Theoretic Properties of Auditory Sequences Dynamically Influence Expectation and Memory. Cognitive Science, 42(1), 43-76. DOI: 10.1111/cogs.12477  Preprint 

Agres K., Herremans D.  2018.  Music and Motion-Detection: A Game Prototype for Rehabilitation and Strengthening in the Elderly. IEEE International Conference on Orange Technologies (ICOT). Singapore. Preprint 

Chuan C.-H., Herremans D.  2018.  Modeling temporal tonal relations in polyphonic music through deep networks with a novel image-based representation. The Thirty-Second AAAI Conference on Artificial Intelligence. New Orleans, US.  

Herremans D., Chuan C.-H., Chew E..  2017.  A Functional Taxonomy of Music Generation Systems. ACM Computing Surveys. 50(5):30. Preprint

Agres K., Herremans D., Bigo L., Conklin D..  2017.  Harmonic Structure Predicts the Enjoyment of Uplifting Trance Music. Frontiers in Psychology: Cognitive Science. 7(1999). Preprint

Cancino-Chacon C., Grachten M., Agres K.  2017.  From Bach to the Beatles: The simulation of human tonal expectation using ecologically-trained predictive models. International Society for Music Information Retrieval Conference (ISMIR) Suzhou, China. Preprint

Herremans D., Chuan C.-H., Chew E..  2017.  A Functional Taxonomy of Music Generation Systems. ACM Computing Surveys. 50(5):30. Preprint

Herremans D., Bergmans T.  2017.  Hit Song Prediction Based on Early Adopter Data and Audio Features. The 18th International Society for Music Information Retrieval Conference (ISMIR) - Late Breaking Demo. Suzhou, China. Preprint

Herremans D., Lauwers W.  2017.  Visualizing the evolution of alternative hit charts. The 18th International Society for Music Information Retrieval Conference (ISMIR) - Late Breaking Demo. Suzhou, China. Preprint

Herremans D., Chuan C.-H.  2017.  Modeling Musical Context with Word2vec. First International Workshop On Deep Learning and Music. 1:11-18. Preprint

Herremans D., Chew E..  2017.  MorpheuS: generating structured music with constrained patterns and tension. IEEE Transactions on Affective Computing. PP (In Press)(99). Preprint 

Ibrahim K, Grunberg D, Agres K, Gupta C, Wang Y.  2017.  Intelligibility of Sung Lyrics: A Pilot Study. Proceedings of the International Society for Music Information Retrieval Conference (ISMIR). Suzhou, China. Preprint

Herff, S. A., Dean, R. T., Olsen, K. N., (2017). Inter-rater agreement in memory for melody as a measure of listeners’ similarity in music perception, Psychomusicology: Brain, Mind, and Music

Herff, S. A., Johnson, G. D., Milne, A. J., Herff, C., Krusienski, D. J. (2017). Signal Characterization for a Musical Rhythm BCI, 39th International Conference of the IEEE Engineering in Medicine and Biology Society

Herff, S. A., Olsen, K. N., Dean, R. T. (2017). Interference in memory for pitch-only and rhythm-only sequences, Musicae Scientiae

Herff, S. A., Olsen, K. N., Prince, J., Dean, R. T. (2017). Memory for melodies in unfamiliar tuning systems: Investigating effects of recency and number of intervening items, Quarterly Journal of Experimental Psychology

Herff, S. A., Olsen, K. N., Dean, R. T., Prince, J. (2017). Resilient memories for melodies: The number of intervening melodies does not influence novel melody recognition, Quarterly Journal of Experimental Psychology

Herff, S. A., Czernochowski, D. (2017). The role of divided attention and expertise in melody recognition, Musicae Scientiae