Kat Agres
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nnaudio: An on-the-fly gpu audio to spectrogram conversion toolbox using 1d convolutional neural networks
KW Cheuk, H Anderson, K Agres, D Herremans
IEEE Access 8, 161981-162003, 2020
Evaluation of musical creativity and musical metacreation systems
K Agres, J Forth, GA Wiggins
Computers in Entertainment (CIE) 14 (3), 1-33, 2016
Information‐Theoretic Properties of Auditory Sequences Dynamically Influence Expectation and Memory
K Agres, S Abdallah, M Pearce
Cognitive Science, 1-34, 2017
A closed-loop, music-based brain-computer interface for emotion mediation
SK Ehrlich, KR Agres, C Guan, G Cheng
PloS one 14 (3), e0213516, 2019
From Distributional Semantics to Conceptual Spaces: A Novel Computational Method for Concept Creation
S McGregor, K Agres, M Purver, G & Wiggins
Journal of Artificial General Intelligence 6 (1), 55–86, 2015
Learning disentangled representations of timbre and pitch for musical instrument sounds using gaussian mixture variational autoencoders
YJ Luo, K Agres, D Herremans
arXiv preprint arXiv:1906.08152, 2019
Singing voice conversion with disentangled representations of singer and vocal technique using variational autoencoders
YJ Luo, CC Hsu, K Agres, D Herremans
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Meta4meaning: Automatic metaphor interpretation using corpus-derived word associations
P Xiao, K Alnajjar, M Granroth-Wilding, K Agres, H Toivonen
Proceedings of the Seventh International Conference on Computational Creativity, 2016
Musical expectancy: The influence of musical structure on emotional response
CL Krumhansl, KR Agres
Behavioral and Brain Sciences 31 (5), 584-585, 2008
From context to concept: exploring semantic relationships in music with word2vec
CH Chuan, K Agres, D Herremans
Neural Computing and Applications 32 (4), 1023-1036, 2020
Music therapy during COVID-19: Changes to the practice, use of technology, and what to carry forward in the future
KR Agres, K Foubert, S Sridhar
Frontiers in Psychology 12, 1317, 2021
Entraining IDyOT: timing in the information dynamics of thinking
J Forth, K Agres, M Purver, GA Wiggins
Frontiers in psychology 7, 1575, 2016
Music, Computing, and Health: A roadmap for the current and future roles of music technology for health care and well-being
KR Agres, R Schaefer, A Volk, S van Hooren, A Holzapfel, S Dalla Bella, ...
Music & Science, 2021
Musical change deafness: The inability to detect change in a non-speech auditory domain
KR Agres, CL Krumhansl
Proceedings of the 30th annual conference of the cognitive science society …, 2008
The impact of audio input representations on neural network based music transcription
KW Cheuk, K Agres, D Herremans
2020 International Joint Conference on Neural Networks (IJCNN), 1-6, 2020
Conceptualizing Creativity: From Distributional Semantics to Conceptual Spaces.
K Agres, S McGregor, M Purver, GA Wiggins
ICCC, 118-125, 2015
Modeling metaphor perception with distributional semantics vector space models.
KR Agres, S McGregor, K Rataj, M Purver, GA Wiggins
C3GI@ ESSLLI, 2016
Harmonic Structure Predicts the Enjoyment of Uplifting Trance Music
K Agres, D Herremans, L Bigo, D Conklin
Frontiers in Psychology: Cognitive Science 7, 2017
Music and motion-detection: A game prototype for rehabilitation and strengthening in the elderly
K Agres, D Herremans
2017 International Conference on Orange Technologies (ICOT), 95-98, 2017
Probabilistic segmentation of musical sequences using restricted Boltzmann machines
S Lattner, M Grachten, K Agres, CE Cancino Chacón
International Conference on Mathematics and Computation in Music, 323-334, 2015
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