Antoine, A., Depalle, P., and McAdams, S. (2021) “Harnessing the Computational Modelling of the Perception of Orchestral Effects for Computer-Aided Orchestration Tools”. Spatialization, Orchestration, Perception. IRCAM Forum Workshops Hors Les Murs 2021, Montréal (Online) Video Presentation (YouTube) – (PDF)
Antoine, A., Depalle, P., Macnab-Séguin, P. and McAdams, S. (2021) “Modeling Human Experts’ Identification of Orchestral Blends Using Symbolic Information”. In R. Kronland-Martinet, S. Ystad & M. Aramaki (Eds.), Perception, Representations, Image, Sound, Music. CMMR 2019. Lecture Notes in Computer Science, vol 12631, pp. 363-378, Springer Verlag, Cham, Switzerland. (PDF)
Antoine, A., Depalle, P., and McAdams, S. (2020) “Modeling the Contribution of Auditory Scene Analysis Principles to Perceptual Effects of Orchestration”. The Journal of the Acoustical Society of America 148, 2462.
Antoine, A., Depalle, P., and McAdams, S. (2019). “On Computationally Modelling the Perception of Orchestral Effects using Symbolic Score Information”. 18th Annual Auditory Perception, Cognition and Action Meeting (APCAM2019). Montréal, Canada. (PDF)
Antoine, A., Depalle, P., Macnab-Séguin, P. and McAdams, S. (2019). “Modeling Human Experts’ Identification of Orchestral Blends Using Symbolic Information”. Proceedings of the 14th International Symposium on Computer Music Multidisciplinary Research (CMMR). Marseille, France. (PDF)
Antoine, A., Depalle, P., Macnab-Séguin, P. and McAdams, S. (2019). “Identifying Orchestral Blend Effects from Symbolic Score Data”. 7th Seminar on Cognitively based Music Informatics (CogMIR2019). New York, USA. (PDF)
Antoine, A. (2018). An Investigation into the Use of Artificial Intelligence Techniques for the Analysis and Control of Instrumental Timbre and Timbral Combinations. Ph.D. Thesis, University of Plymouth, Plymouth, UK. (PDF)
Antoine, A., Miranda, E. R., Celerier, J-M. and Desainte-Catherine, M. (2018). “Generating Orchestral Sequences with Timbral Descriptors”. Proceedings of Timbre 2018 : Timbre Is A Many Splendored Thing. Montréal, Canada. (PDF)
Antoine, A. and Miranda, E. R. (2018). “Predicting Timbral and Perceptual Characteristics of Orchestral Instrument Combinations”. The Journal of the Acoustical Society of America, 143(3).
Antoine, A. and Miranda, E. R. (2017). “Computer Generated Orchestration: Towards Using Musical Timbre in Composition”, Pre-Proceedings of the 9th European Music Analysis Conference (EuroMAC 9 – IX CEAM). Strasbourg, France. (PDF)
Antoine, A. and Miranda, E. R. (2017). “A Perceptually Orientated Approach for Automatic Classification of Timbre Content of Orchestral Excerpts”, The Journal of the Acoustical Society of America, 141(5):3723–3723.
Antoine, A. and Miranda, E. R. (2017). “Musical Acoustics, Timbre, and Computer–Aided Orchestration Challenges”, Proceedings of the 2017 International Symposium on Musical Acoustics (ISMA). Montréal, Canada. (PDF)
Antoine, A., Williams, D. and Miranda, E. R. (2016). “Towards a Timbre Classification System for Musical Excerpts”, Proceedings of 2nd AES Workshop on Intelligent Music Production (WIMP). London, UK. (PDF)
Antoine, A. and Miranda, E. R. (2016). “A User-Centric Algorithmic Composition System”, Proceedings of 2nd International Conference on New Music Concepts (ICNMC). Treviso, Italy. (PDF)
Antoine, A. and Miranda, E. R. (2015). “Towards Intelligent Orchestration Systems”, Proceedings of 11th International Symposium on Computer Music Multidisciplinary Research (CMMR): Music, Mind, and Embodiment. Plymouth University, Plymouth, UK. (PDF)
Miranda, E. R., Antoine, A., Celerier, J-M. and Desainte-Catherine, M. (2019). “i-Berlioz: Towards Interactive Computer-Aided Orchestration with Temporal Control”, International Journal of Music Science, Technology and Art 1 (1): 15-23. (PDF)
Miranda, E. R., Antoine, A., Celerier, J-M. and Desainte-Catherine, M. (2018). “i-Berlioz : Interactive Computer-Aided Orchestration with Temporal Control”, Proceedings of 5th International Conference on New Music Concepts (ICNMC). Treviso, Italy. (PDF)
Miranda, E. R., Kirke, A., Braund, E. and Antoine, A. (2017). “On Unconventional Computing for Sound and Music”, In Guide to Unconventional Computing for Music, pp. 23-61. Springer International Publishing.
Kirke, A., Shadbolt, P., Neville, A., Antoine, A. and Miranda, E. (2014). “Q-Muse: A Quantum Computer Music System Designed For A Performance For Orchestra, Electronics And Live Internet-Connected Photonic Quantum Computer”, Proceedings of the 2014 Conference on Interdisciplinary Musicology (CIM14). Berlin, Germany. (PDF)
Schramm, R., de Souza Nunes, H., Antoine, A. and Miranda, E. R. (2014). “A Generative System for the Creation of New Songs from Portuguese Prosody”, Proceedings of 9th Conference on Interdisciplinary Musicology (CIM14). Berlin, Germany. (PDF)