Dorien Herremans
Dorien Herremans is a Belgian computer music researcher. Herremans is currently an assistant professor in the Singapore University of Technology and Design,[1] and research scientist (joint appointment) at the Institute of High Performance Computing, A*STAR. She also works as a certified instructor for the NVIDIA Deep Learning Institute and is director of SUTD Game Lab.[2] Before going to SUTD, she was a recipient of the Marie Sklodowska-Curie Postdoctoral Fellowship at the Centre for Digital Music (C4DM) at Queen Mary University of London, where she worked on the project MorpheuS: Hybrid Machine Learning – Optimization techniques To Generate Structured Music Through Morphing And Fusion.[3] She received her Ph.D. in Applied Economics on the topic of Computer Generation and Classification of Music through Operations Research Methods. She graduated as a commercial engineer in management information systems at the [University of Antwerp] in 2005. After that, she worked as a Drupal consultant and was an IT lecturer at the Les Roches University in Bluche, Switzerland. She also worked as a mandaatassistent at the University of Antwerp, in the domain of operations management, supply chain management and operations research.
Dorien Herremans | |
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Born | |
Occupation | Assistant Professor, Singapore University of Technology and Design |
Website | Dorien Herremans |
Herremans' current work focuses on automatic music generation, data mining for music classification (hit prediction) and other novel applications in the intersections of AI, machine learning/optimization and music. She is a senior member of the IEEE.
Herremans' research on dance hit prediction, automatic piano fingering and AI automatic music generation systems (e.g. MorpheuS[4]) has received attention in the popular press, including international magazines such as Motherboard from Vice Magazine,[5] Channel News Asia's Documentary 'Algorithms: Episode 1: Rage Against The Machine,[6][7] The Examiner,[8] Belgian national TV[9] and Belgian and French national radio.[10][11]
Selected publications
- Herremans D., Chuan C.H, Chew E. 2017. A Functional Taxonomy of Music Generation Systems. ACM Computing Surveys
- Dorien Herremans D., Martens D., Sörensen K. 2014. Dance Hit Song Prediction. Journal of New Music Research, Special Issue on Music and Machine Learning. 43:3. pp. 291-302
- Herremans, D., & Sörensen, K. (2013). Composing fifth species counterpoint music with a variable neighborhood search algorithm. Expert systems with applications, 40(16), 6427-6437
- Herremans, D., & Chew, E. (2017). MorpheuS: generating structured music with constrained patterns and tension. IEEE Transactions on Affective Computing
- Chuan, C. H., & Herremans, D. (2018, April). Modeling temporal tonal relations in polyphonic music through deep networks with a novel image-based representation. In Proc. of the thirty-second AAAI conference on artificial intelligence
- Lin, K. W. E., Balamurali, B. T., Koh, E., Lui, S., & Herremans, D. (2020). Singing voice separation using a deep convolutional neural network trained by ideal binary mask and cross entropy. Neural Computing and Applications, 32(4), 1037-1050
- Chuan, C. H., Agres, K., & Herremans, D. (2020). From context to concept: exploring semantic relationships in music with word2vec. Neural Computing and Applications, 32(4), 1023-1036
- Sturm, B. L., Ben-Tal, O., Monaghan, Ú., Collins, N., Herremans, D., Chew, E., ... & Pachet, F. (2019). Machine learning research that matters for music creation: A case study. Journal of New Music Research, 48(1), 36-55
References
- Dr. Dorien Herremans, Assistant Professor, SUTD
- SUTD Game Lab
- EU MorhpeuS Project
- Music and artificial intelligence#MorpheuS
- "A Machine Successfully Predicted the Hit Dance Songs of 2015". 17 December 2015.
- "Rage Against the Machine".
- "Algorithms Part 1 - Channel News Asia - Ep 1: Rage Against the Machine - video dailymotion".
- Reyers Laat
- France Info – Comment predire qu'une chanson sera un tube
- Radio een