As a researcher, my passion is to engage new technologies in the process of musical creativity involving humans and computers. Scientifically speaking, this leads to research in Artificial Machine Listening and Real-time Systems involving machine learning, signal processing, real-time languages and artificial intelligence. My work has notably led to the development of Antescofo.
In the IRC department I served in maintaining and renewing Ircam's Forum since 2012, coordinating musical research, foundation of Ircam's Artistic Residency program; and most importantly working with extremely creative prople in both sciences and the arts.
- Paris Conservatory, FSMS, English research survey course (2014-15) (Taught since 2009)
(See all here)
Cont A., Dubnov S., and Assayag G., On the Information Geometry of Audio Streams with Applications to Similarity Computing, IEEE Transactions on Audio, Speech and Language Processing, Vol. 19, no. 4, Pp. 837-846, 2011. (preprint) (bibtex)
Cont Arshia, A coupled duration-focused architecture for realtime music to score alignment. IEEE Transaction on Pattern Analysis and Machine Intelligence. Vol. 32(6), Pp. 974-987, June 2010. (preprint) (bibtex)
Cont Arshia, Dubnov Shlomo, Assayag Gérard, Anticipatory Model of Musical Style Imitation using Collaborative and Competitive Reinforcement Learning. Anticipatory Behavior in Adaptive Learning Systems. Berlin : Martin Butz, Olivier Sigaud and Gianluca Baldassarre (Editors). 2007, p. 285-306. (pdf) (bibtex)
Cont Arshia, Dubnov Shlomo, Wessel David, Realtime Multiple-pitch and Multiple-instrument Recognition For Music Signals using Sparse Non-negative Constraints. Digital Audio Effects (DAFx). Bordeaux : Septembre 2007. (pdf) (bibtex)
Cont Arshia, Modeling Musical Anticipation: From the time of music to the music of time. PhD thesis in Acoustics, Signal Processing, and Computer Science Applied to Music (ATIAM). Paris : University of Paris 6 (UPMC), and University of California San Diego (UCSD) (joint), 2008. (pdf) (bibtex) (Defense Presentation)