| Music transcription modelling and composition using deep learning BL Sturm, JF Santos, O Ben-Tal, I Korshunova arXiv preprint arXiv:1604.08723, 2016 | 206 | 2016 |
| 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 | 107 | 2019 |
| Artificial intelligence and music: open questions of copyright law and engineering praxis BLT Sturm, M Iglesias, O Ben-Tal, M Miron, E Gómez Arts 8 (3), 115, 2019 | 78 | 2019 |
| SonART: The sonification application research toolbox O Ben-Tal, J Berger, B Cook, M Daniels, G Scavone, P Cook Proceedings of the 2002 International Conference on Auditory Display, Kyoto …, 2002 | 62 | 2002 |
| Taking the models back to music practice: Evaluating generative transcription models built using deep learning BL Sturm, O Ben-Tal Journal of Creative Music Systems 2, 32-60, 2017 | 52 | 2017 |
| Creative aspects of sonification O Ben-Tal, J Berger Leonardo 37 (3), 229-233, 2004 | 46 | 2004 |
| Reflections on synaesthesia, perception, and cognition N Sagiv, A Ilbeigi, O Ben-Tal Intellectica 55, 81-94, 2011 | 33 | 2011 |
| Characterising musical gestures O Ben-Tal Musicae Scientiae 16 (3), 247-261, 2012 | 24 | 2012 |
| Information‐theoretic measures predict the human judgment of rhythm complexity R de Fleurian, T Blackwell, O Ben‐Tal, D Müllensiefen Cognitive Science 41 (3), 800-813, 2017 | 18 | 2017 |
| Rethinking the musical ensemble: A model for collaborative learning in higher education music technology O Ben-Tal, D Salazar Journal of Music, Technology & Education 7 (3), 279-294, 2014 | 18 | 2014 |
| Let’s have another Gan Ainm: An experimental album of Irish traditional music and computer-generated tunes B Sturm, O Ben-Tal | 13 | 2018 |
| De natura sonoris: Sonification of complex data O Ben-Tal, M Daniels, J Berger Mathematics and Simulation with Biological, Economical, and Musicoacoustical …, 2001 | 12 | 2001 |
| How Music AI Is Useful: Engagements with Composers, Performers and Audiences O Ben-Tal, MT Harris, BLT Sturm Leonardo 54 (5), 510-516, 2021 | 10 | 2021 |
| Folk the algorithms:(Mis) Applying artificial intelligence to folk music BLT Sturm, O Ben-Tal Handbook of Artificial Intelligence for Music: Foundations, Advanced …, 2021 | 9 | 2021 |
| Comparing perceptual and computational complexity for short rhythmic patterns R De Fleurian, O Ben-Tal, D Müllensiefen, T Blackwell Procedia-Social and Behavioral Sciences 126, 111-112, 2014 | 5 | 2014 |
| Improvisation as a creative dialogue O Ben-Tal, C Wilkins Perspectives of New Music 51 (1), 21-39, 2013 | 5 | 2013 |
| The embodiment of music/sound within an intermedia performance space C Wilkins, O Ben-Tal Proceedings of the 5th International Conference on Digital Arts, 19-24, 2010 | 4 | 2010 |
| Musical toys: interactive audio for non-musicians O Ben-Tal | 3 | 2008 |
| Making music with technology: a free improvisation ensemble O Ben-Tal, R Demianiuk, S Heath, S Kendall, D Salazar Institute of Education, 2014 | 2 | 2014 |
| Weak interactions, strong bonds: Live electronics as a complex system O Ben-Tal Organised Sound 28 (1), 122-132, 2023 | 1 | 2023 |
Bob L. T. SturmAssociate Professor, KTH Royal Institute of Technology, StockholmVerified email at kth.se
