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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
1072020
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
992019
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
932021
Evaluation of musical creativity and musical metacreation systems
K Agres, J Forth, GA Wiggins
Computers in Entertainment (CIE) 14 (3), 1-33, 2016
912016
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, 647790, 2021
752021
Information‐Theoretic Properties of Auditory Sequences Dynamically Influence Expectation and Memory
K Agres, S Abdallah, M Pearce
Cognitive Science, 1-34, 2017
752017
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
622019
From context to concept: exploring semantic relationships in music with word2vec
CH Chuan, K Agres, D Herremans
Neural Computing and Applications 32, 1023-1036, 2020
602020
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
562020
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
372015
Meta4meaning: Automatic metaphor interpretation using corpus-derived word associations
P Xiao, K Alnajjar, M Granroth-Wilding, K Agres, H Toivonen
International Conference on Computational Creativity, 230-237, 2016
362016
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
342020
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
342017
Musical expectancy: The influence of musical structure on emotional response
CL Krumhansl, KR Agres
Behavioral and Brain Sciences 31 (5), 584-585, 2008
342008
Generating lead sheets with affect: A novel conditional seq2seq framework
D Makris, KR Agres, D Herremans
2021 international joint conference on neural networks (IJCNN), 1-8, 2021
322021
A comparative study of mental states in 2D and 3D virtual environments using EEG
P Bilgin, K Agres, N Robinson, AAP Wai, C Guan
2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019
302019
Entraining IDyOT: timing in the information dynamics of thinking
J Forth, K Agres, M Purver, GA Wiggins
Frontiers in psychology 7, 1575, 2016
292016
Ai-based affective music generation systems: A review of methods and challenges
A Dash, K Agres
ACM Computing Surveys 56 (11), 1-34, 2024
282024
Harmonic Structure Predicts the Enjoyment of Uplifting Trance Music
K Agres, D Herremans, L Bigo, D Conklin
Frontiers in Psychology: Cognitive Science 7, 2017
252017
MERP: A music dataset with emotion ratings and raters’ profile information
EY Koh, KW Cheuk, KY Heung, KR Agres, D Herremans
Sensors 23 (1), 382, 2022
242022
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