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Dorien Herremans
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A functional taxonomy of music generation systems
D Herremans, CH Chuan, E Chew
ACM Computing Surveys (CSUR) 50 (5), 1-30, 2017
1462017
Dance Hit Song Prediction
D Herremans, D Martens, K Sörensen
Journal of New Music Research, Special Issue on Music and Machine Learning …, 2014
882014
Machine learning research that matters for music creation: A case study
BL Sturm, O Ben-Tal, Ú Monaghan, N Collins, D Herremans, E Chew, ...
Journal of New Music Research 48 (1), 36-55, 2019
872019
MorpheuS: generating structured music with constrained patterns and tension
D Herremans, E Chew
IEEE Transactions on Affective Computing 10 (4), 510-523, 2017
782017
Tension ribbons: Quantifying and visualising tonal tension.
D Herremans, E Chew
Second International Conference on Technologies for Music Notation and …, 2016
602016
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
562020
Generating structured music for bagana using quality metrics based on Markov models
D Herremans, S Weisser, K Sörensen, D Conklin
Expert Systems with Applications 42 (21), 7424–7435, 2015
552015
Composing Fifth Species Counterpoint Music With A Variable Neighborhood Search Algorithm
D Herremans, K Sörensen
Expert Systems with Applications 40 (16), 6427--6437, 2013
542013
Composing first species counterpoint with a variable neighbourhood search algorithm
D Herremans, K Sörensen
Journal of Mathematics and the Arts 6 (4), 169-189, 2012
512012
Modeling Musical Context with Word2vec
D Herremans, CH Chuan
First International Workshop on Deep Learning and Music, Anchorage, US 1 (1 …, 2017
482017
Toward robust audio spoofing detection: A detailed comparison of traditional and learned features
BT Balamurali, KE Lin, S Lui, JM Chen, D Herremans
IEEE Access 7, 84229-84241, 2019
422019
Music fadernets: Controllable music generation based on high-level features via low-level feature modelling
HH Tan, D Herremans
International Society of Music Information Retrieval (ISMIR), 2020
372020
Learning disentangled representations of timbre and pitch for musical instrument sounds using gaussian mixture variational autoencoders
YJ Luo, K Agres, D Herremans
20th Conference of the International Society for Music Information Retrieval …, 2019
332019
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
322020
MorpheuS: Automatic music generation with recurrent pattern constraints and tension profiles
D Herremans
Proceedings of IEEE TENCON, Singapore, 2016
322016
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
302020
Modeling Temporal Tonal Relations in Polyphonic Music Through Deep Networks with a Novel Image-Based Representation
CH Chuan, D Herremans
AAAI, 2018
302018
Composer classification models for music-theory building
D Herremans, D Martens, K Sörensen
Computational Music Analysis, 369-392, 2016
282016
Singing voice separation using a deep convolutional neural network trained by ideal binary mask and cross entropy
KWE Lin, BT Balamurali, E Koh, S Lui, D Herremans
Neural Computing and Applications 32, 1037-1050, 2020
272020
Development of machine learning for asthmatic and healthy voluntary cough sounds: a proof of concept study
HI Hee, BT Balamurali, A Karunakaran, D Herremans, OH Teoh, KP Lee, ...
Applied Sciences 9 (14), 2833, 2019
262019
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