The Performance Worm: Real Time Visualisation of Expression based on Langner's Tempo-Loudness Animation

International Computer Music Conference, ICMC Proceedings

Volumn , Issue , 2002, Pages 361-364

  Dixon, Simon ^a   Goebl, Werner ^a   Widmer, Gerhard ^a  

^a AUSTRIAN RESEARCH INSTITUTE FOR ARTIFICIAL INTELLIGENCE   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER MUSIC;

'CURRENT; AUTOMATIC MODELING; EXPRESSIVE PERFORMANCE; HIGH-LEVEL INFORMATION; HIGHER-LEVEL INFORMATION; MUSICAL EMOTION; MUSICAL STRUCTURES; PERFORMANCE; REAL TIME VISUALIZATION; STATE OF THE ART;

MUSIC;

EID: 85159712121     PISSN: 22233881     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

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2. Desain, P. and H. Honing (1989). Quantization of musical time: A connectionist approach. Computer Music Journal 13(3), 56-66.
3. Dixon, S. (2001). Automatic extraction of tempo and beat from expressive performances. Journal of New Music Research 30(1).
4. Dixon, S., W. Goebl, and G. Widmer (2002). Real time tracking and visualisation of musical expression. Technical Report 2002-04, Austrian Research Institute for Artificial Intelligence.
5. Goto, M. and Y. Muraoka (1995). A real-time beat tracking system for audio signals. In Proceedings of the International Computer Music Conference, San Francisco CA, pp. 171-174. International Computer Music Association.
6. Goto, M. and Y. Muraoka (1999). Real-time beat tracking for drumless audio signals. Speech Communication 27(3-4), 331-335.
7. Langner, J. and W. Goebl (2002). Representing expressive performance in tempo-loudness space. In ESCOM 10th anniversary conference on Musical Creativity, Li'ege, Belgium.
8. Large, E. and J. Kolen (1994). Resonance and the perception of musical meter. Connection Science 6, 177-208.
9. Lee, C. (1991). The perception of metrical structure: Experimental evidence and a model. In P. Howell, R. West, and I. Cross (Eds.), Representing Musical Structure, pp. 59-127. San Diego CA: Academic Press.
10. Rosenthal, D. (1992). Emulation of human rhythm perception. Computer Music Journal 16(1), 64-76.
11. Scheirer, E. (1998). Tempo and beat analysis of acoustic musical signals. Journal of the Acoustical Society of America 103(1), 588-601.
12. Widmer, G. (1996). What is it that makes it a Horowitz? Empirical musicology via machine learning. In Proceedings of the 12 th European Conference on Artificial Intelligence (ECAI-96), Chichester, UK. Wiley & Sons.