Publications
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2019. The impact of musical structure on enjoyment and absorptive listening states in trance music. Music and Consciousness 2: Worlds, Practices, Modalities. Edited by Ruth Herbert, David Clarke, and Eric Clarke
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2010. An auditory twist on visual search using head movement controlled ambisonics. International Computer Music Conference. 
(973.19 KB)
(973.19 KB).
2019. Change detection and schematic processing in music. Psychology of Music. 47(2):173-193.
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2018. Modelling Novice and Expert Listeners’ Ability to Detect Changes in Short Melodies. International Conference on Music Perception and Cognition. (93.32 KB)
(93.32 KB).
2015. Conceptualizing Creativity: From Distributional Semantics to Conceptual Spaces. Proceedings of the Sixth International Conference on Computational Creativity. (187.9 KB)
(187.9 KB).
2016. Workshop on Auditory Neuroscience, Cognition, and Modeling. Psychomusicology: Music, Mind, and Brain. 26(3):288-292.
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2021. Music, Computing, and Health: A roadmap for the current and future roles of music technology for health care and well-being. Music & Science. (4.07 MB)
(4.07 MB).
2018. Information-Theoretic Properties of Auditory Sequences Dynamically Influence Expectation and Memory. Cognitive Science. 42:43-76. (410.27 KB)
(410.27 KB).
2013. The Learning Trajectory Of Musical Memory: From Schematic Processing Of Novel Melodies To Robust Musical Memory Representations. Cornell University, Department of Psychology. PhD
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2022. Comparing Musicians and Non-musicians’ Expectations in Music and Vision. ACM Audio Mostly. :1-8. (369.23 KB)
(369.23 KB).
2018. The Structure of Chord Progressions Influences Listeners’ Enjoyment and Absorptive States in EDM. International Conference on Music Perception and Cognition. (387.15 KB)
(387.15 KB).
2009. The sparsity of simple recurrent networks in musical structure learning. Proceedings of the 31th Annual Conference of the Cognitive Science Society. (591.97 KB)
(591.97 KB).
2021. Music Therapy During COVID-19: Changes to the Practice, Use of Technology, and What to Carry Forward in the Future. Frontiers in Psychology. 12 (313.95 KB)
(313.95 KB).
2017. Harmonic Structure Predicts the Enjoyment of Uplifting Trance Music. Frontiers in Psychology. 7:1999. (1.15 MB)
(1.15 MB).
2020. Developing Music Technology for Emotion Regulation and Motor Rehabilitation. Proceedings of the 16th WFMT World Congress of Music Therapy. (67.56 KB)
(67.56 KB).
2016. Modeling metaphor perception with distributional semantics vector space models. Workshop on Computational Creativity, Concept Invention, and General Intelligence. (295.07 KB)
(295.07 KB).
2022. Improving Students’ Practice and Performance of Music by Incorporating Cognitive Science into Conservatory Curricula. Proceedings of the 35th conference for the International Society of Music Education (ISME 2022). :1-13. (258.63 KB)
(258.63 KB).
2017. Music and Motion-Detection: A Game Prototype for Rehabilitation and Strengthening in the Elderly. IEEE International Conference on Orange Technologies (ICOT 2017). (1.77 MB)
(1.77 MB).
2008. Musical change deafness: The inability to detect change in a non-speech auditory domain. In B. C. Love, K. McRae, & V. M. Sloutsky (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society (pp. 969-974). (352.36 KB)
(352.36 KB).
2015. Schematic processing as a framework for learning and creativity in CBR and CC. Proceedings of the 23rd International Conference on Case-Based Reasoning. :151-155. (112.03 KB)
(112.03 KB).
2016. Evaluation of Musical Creativity and Musical Metacreation Systems. ACM Comput. Entertain.. 14(3):3:1–3:33. (393.86 KB)
(393.86 KB).
2013. An information-theoretic account of musical expectation and memory. Proceedings of the 35th Annual Conference of the Cognitive Science Society. (422.99 KB)
(422.99 KB).
2016. The Effect of Repetitive Structure on Enjoyment in Uplifting Trance Music. In Proceedings of the 14th International Conference for Music Perception and Cognition (ICMPC). :280-282. (139.27 KB)
(139.27 KB).
2022. Engaging deeply with cognitive science in a conservatory of music: Using student-centered learning to enhance learning outcomes in music students. Proceedings of the 35th conference for the International Society of Music Education (ISME 2022). :1-15. (266.29 KB)
(266.29 KB).
2019. A novel music-based game with motion capture to support cognitive and motor function in the elderly. IEEE Conference on Games (CoG) 2019. (2.63 MB)
(2.63 MB).
2015. Co-occurrences of harmonics bootstrap pitch and tonality perception in music: Evidence from a statistical unsupervised learning model. CogSci 2015: The annual meeting of the Cognitive Science Society. (217.54 KB)
(217.54 KB).
2023. AffectMachine-Classical: a novel system for generating affective classical music. Frontiers in Psychology 14:1158172. doi: 10.3389/fpsyg.2023.1158172. 14:1158172:1-13. (771.58 KB)
(771.58 KB).
2018. Rhythmic Entrainment for Hand Rehabilitation Using the Leap Motion Controller. Proceedings of The 19th International Society of Music Information Retrieval (ISMIR) Conference. (476.62 KB)
(476.62 KB).
2019. A Comparative Study of Mental States in 2D and 3D Virtual Environments Using EEG. IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC). (812.97 KB)
(812.97 KB).
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). (298.14 KB)
(298.14 KB).
2020. nnAudio: An on-the-fly GPU Audio toSpectrogram Conversion Toolbox Using 1D Convolutional Neural Networks. IEEE Access. 8:161981-162003. (6.65 MB)
(6.65 MB).
2019. nnAudio: A PyTorch Audio Processing Tool Using 1D Convolution neural networks. ISMIR - Late Breaking Demo. (399.08 KB)
(399.08 KB).
2020. The impact of Audio input representations on neural network based music transcription. Proceedings of the International Joint Conference on Neural Networks (IJCNN). (1.87 MB)
(1.87 MB).
2023. Know Thyself: Improving interoceptive ability through ambient biofeedback in the workplace. SIGHCI 2023 Proceedings.
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2022. Computational Music Systems for Emotional Health and Wellbeing: A Review. ACM Special Interest Group on Computer–Human Interaction (SIGHCI) 2022. (347.85 KB)
(347.85 KB).
2018. From Context to Concept: Exploring Semantic Relationships in Music with Word2Vec. Neural Computing and Applications. https://doi.org/10.1007/s00521-018-3923-1 (1.64 MB)
(1.64 MB).
2019. A closed-loop, music-based brain-computer interface for emotion mediation. PLoS ONE. 14(3):e0213516. (1.76 MB)
(1.76 MB).
2016. Entraining IDyOT: timing in the information dynamics of thinking. Frontiers in Psychology: Auditory Cognitive Neuroscience. 7:1575 (2.85 MB)
(2.85 MB).
2024. New advances and novel applications of music technologies for health, well-being, and inclusion Front. Comput. Sci. 6:1358454. doi: 10.3389/fcomp.2024.1358454. Frontiers in Computer Science. 6:1358454
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2019. Statistical Learning Ability as a Measure of Cognitive Function. :1-7. (1004.22 KB)
(1004.22 KB).
2020. Age dependent statistical learning trajectories reveal differences in information weighting. Psychology and Aging. (1.79 MB)
(1.79 MB).
2017. Intelligibility of Sung Lyrics: A Pilot Study. International Society for Music Information Retrieval Conference (ISMIR). (288.5 KB)
(288.5 KB).
2023. MERP: A Music Dataset with Emotion Ratings and Raters’ Profile Information. Sensors. 23(382):1-23. (1.21 MB)
(1.21 MB).
2008. Musical expectancy: The influence of musical structure on emotional response. Behavioral and Brain Sciences. 31(5):584–585.
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2015. Probabilistic Segmentation of Musical Sequences using Restricted Boltzmann Machines. Mathematics and Computation in Music. 9110:323-334. (111.94 KB)
(111.94 KB).
2020. Singing Voice Conversion with Disentangled Representations of Singer and Vocal Technique Using Variational Autoencoders. 45th International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2020). (2.88 MB)
(2.88 MB).
2023. Intra- and inter-brain coupling and activity dynamics during improvisational music therapy with a person with dementia: an explorative EEG-hyperscanning single case study. Frontiers in Psychology: Cognitive Science. 14:1155732
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2021. Sen2Seq: A Conditional seq2seq Framework for Generating Lead Sheets with Sentiment. Proceedings of the International Joint Conference on Neural Networks (IJCNN).
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2019. Re-Representing Metaphor: Modeling Metaphor Perception Using Dynamically Contextual Distributional Semantics. Frontiers in Psychology: Cognitive Science. 10(765):1-18. (2.11 MB)
(2.11 MB).
2015. From Distributional Semantics to Conceptual Spaces: A Novel Computational Method for Concept Creation. Journal of Artificial General Intelligence. 6(1):55-86. (289.07 KB)
(289.07 KB).
2020. A dataset and classification model for Malay, Hindi, Tamil and Chinese music. Workshop on Machine Learning and Music (MML 2020), at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) conference.
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2016. Meta4meaning: Automatic Metaphor Interpretation Using Corpus-Derived Word Associations. Proceedings of the Seventh International Conference on Computational Creativity.