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
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
Dance Hit Song Prediction
D Herremans, D Martens, K Sörensen
Journal of New Music Research, Special Issue on Music and Machine Learning …, 2014
MorpheuS: generating structured music with constrained patterns and tension
D Herremans, E Chew
IEEE Transactions on Affective Computing 10 (4), 510-523, 2017
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
Tension ribbons: Quantifying and visualising tonal tension.
D Herremans, E Chew
Second International Conference on Technologies for Music Notation and …, 2016
Hear: Holistic evaluation of audio representations
J Turian, J Shier, HR Khan, B Raj, BW Schuller, CJ Steinmetz, C Malloy, ...
NeurIPS 2021 Competitions and Demonstrations Track, 125-145, 2022
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
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
Composing Fifth Species Counterpoint Music With A Variable Neighborhood Search Algorithm
D Herremans, K Sörensen
Expert Systems with Applications 40 (16), 6427--6437, 2013
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
Modeling Musical Context with Word2vec
D Herremans, CH Chuan
First International Workshop on Deep Learning and Music, Anchorage, US 1 (1 …, 2017
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
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
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
Music, computing, and health: a roadmap for the current and future roles of music technology for health care and well-being
KR Agres, RS Schaefer, A Volk, S van Hooren, A Holzapfel, S Dalla Bella, ...
Music & Science 4, 2059204321997709, 2021
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
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
Modeling Temporal Tonal Relations in Polyphonic Music Through Deep Networks with a Novel Image-Based Representation
CH Chuan, D Herremans
AAAI, 2018
MorpheuS: Automatic music generation with recurrent pattern constraints and tension profiles
D Herremans
Proceedings of IEEE TENCON, Singapore, 2016
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