MSc Søren Tjagvad Madsen
Austrian Research Institute for Artificial Intelligence (ÖFAI)
Freyung 6/6, A-1010 Vienna, Austria
The facts
Master of Science from the University of Århus, Denmark 2004 in Computer Science and Music
Studies.
Since May 2004 member of
The Intelligent Music Processing Group at
ÖFAI, Vienna, Austria.
Currently ph. d. student under Gerhard Widmer, head of
the Music Group and professor at the Department of Computational Perception
at the Johannes Kepler University,
Linz, Austria.
Working in the project Interfaces to Music (I2M).
Research interests
Artificial Intelligence, datamining and machine learning, and its applications to music
Symbolic representations of music
Automatic analysis of music
Models of musical styles
Analysis of expressive music performances
Interesting blogs:
Member of NTSMB, a
network for interdisciplinary studies of music and meaning, publishing
the online Journal of Music and Meaning (JMM).
Publications
- Automatic Reduction of MIDI Files Preserving Relevant Musical Content
Madsen, S. T., Typke, R. and Widmer, G.
In Proceedings of the 6th
International Workshop on Adaptive Multimedia Retrieval
(AMR'08), Berlin, June 2008 (to appear).
pdf
- Key-Finding with Interval Profiles
Madsen, S. T. and Widmer, G.
In Proceedings of the International Computer Music Conference (ICMC'07), Copenhagen, August 2007.
pdf
- A Complexity-based Approach to Melody Track Identification in MIDI Files
Madsen, S. T. and Widmer, G.
In Proceedings of the International Workshop on Artificial Intelligence and Music (MUSIC-AI 2007) held in conjunction with the 20th International Joint Conference on Artificial Intelligence (IJCAI 2007), Hyderabad, India, 6-12 January 2007.
pdf
- Towards a Computational Model of Melody Identification in Polyphonic Music
Madsen, S. T. and Widmer, G.
In Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI 2007), Hyderabad, India, 6-12 January 2007.
pdf
- Separating Voices in MIDI
Madsen, S. T. and Widmer, G.
In Proceedings of the 7th International Conference on Music Information Retrieval (ISMIR 2006), Victoria, Canada, 8-12 October 2006.
pdf
- Music complexity measures predicting the listening experience
Madsen, S. T. and Widmer, G.
In Proceedings of the 9th International Conference on Music Perception and Cognition, Bologna, August 22-26, 2006.
abstract
- Extracting Patterns from Brazilian Guitar Accompaniment Data
de Lima E. T., Madsen S.T., Dahia M., Widmer G., Ramalho G.
In Proceedings of the 17th European Conference on Artificial Intelligence (ECAI 2006), Riva del Garda, Italy, Aug. 28th - Sep. 1st, 2006
- Exploring Pianist Performance Styles with Evolutionary String Matching
Madsen, S. T. and Widmer, G.
In International Journal on Artificial Intelligence Tools, 15(4): 495-513 (Special Issue on Artificial Intelligence in Music and Art). World Scientific Publishing Company, 2006.
pdf
- Extracting Patterns from Guitar Accompaniment Data: Some Experimental Results
de Lima E. T., Madsen S.T., Dahia M., Widmer G., Ramalho G.
In Proceedings of the 10th Brazilian Symposium on Computer Music (SBCM 2005), Belo Horizonte, Brazil, 2005
- Studio Report: The Machine Learning and Intelligent Music Processing Group at the Austrian Research Institute for Artificial Intelligence (OFAI), Vienna
Widmer G., Dixon S., Flexer A., Goebl W., Knees P., Madsen S.T., Pampalk E., Pohle T., Schedl M., Tobudic A.
In Proceedings of the International Computer Music Conference (ICMC2005), Barcelona, 2005.
- Exploring similarities in Music Performances with an Evolutionary Algorithm
Madsen, S. T. and Widmer, G.
In Proceedings of the 18th International FLAIRS Conference, Clearwater Beach, Florida, May 16-18, 2005. AAAI Press.
pdf
- Evolutionary Search for Musical Parallelism
Madsen, S. T. and Widmer, G.
In Applications of Evolutionary Computing, proceedings of the EvoWorkshops 2005, LNCS 3449 p. 488-497, Lausanne, Switzerland, 30 March - 1 April 2005. Springer Verlag.
pdf
Master's Thesis: Automatic Discovery
of Parallelism and Hierarchy in Music.
Other experiments with AI and music.
Personal info
Interests: Singing in
Wiener Kammerchor, Arnold Schoenberg Chor, and
Wiener Singverein, going to concerts in Musikverein, and riding my Pinarello bike.
Member of the Gesellschaft der Musikfreunde in Wien.