Dorien Herremans
Titel
Zitiert von
Zitiert von
Jahr
A functional taxonomy of music generation systems
D Herremans, CH Chuan, E Chew
ACM Computing Surveys (CSUR) 50 (5), 1-30, 2017
962017
Dance Hit Song Prediction
D Herremans, D Martens, K Sörensen
Journal of New Music Research, Special Issue on Music and Machine Learning …, 2014
662014
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
492015
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
472019
MorpheuS: generating structured music with constrained patterns and tension
D Herremans, E Chew
IEEE Transactions on Affective Computing 10 (4), 510-523, 2017
472017
Tension ribbons: Quantifying and visualising tonal tension.
D Herremans, E Chew
Second International Conference on Technologies for Music Notation and …, 2016
472016
Composing Fifth Species Counterpoint Music With A Variable Neighborhood Search Algorithm
D Herremans, K Sörensen
Expert Systems with Applications 40 (16), 6427--6437, 2013
472013
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
462012
Modeling Musical Context with Word2vec
D Herremans, CH Chuan
First International Workshop on Deep Learning and Music, Anchorage, US 1 (1 …, 2017
392017
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
242020
Classification and generation of composer-specific music using global feature models and variable neighborhood search
D Herremans, K Sörensen, D Martens
Computer Music Journal 39 (3), 71-91, 2015
242015
MorpheuS: Automatic music generation with recurrent pattern constraints and tension profiles
D Herremans
Proceedings of IEEE TENCON, Singapore, 2016
232016
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
222019
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
212019
Modeling Temporal Tonal Relations in Polyphonic Music Through Deep Networks with a Novel Image-Based Representation
CH Chuan, D Herremans
AAAI, 2018
212018
Composer classification models for music-theory building
D Herremans, D Martens, K Sörensen
Computational Music Analysis, 369-392, 2016
212016
A Tabu Search Algorithm to Generate Piano Fingerings for Polyphonic Sheet Music
M Balliauw, D Herremans, DP Cuervo, K Sörensen
International Transactions in Operational Research, Special Issue on …, 0
21*
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
182020
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 (4), 1037-1050, 2020
172020
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
162020
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