Score-PCM music synchronization based on extracted score parameters

Lecture Notes in Computer Science

Volumn 3310, Issue , 2005, Pages 193-210

  Arifi, Vlora ^a   Clausen, Michael ^a   Kurth, Frank ^a   Müller, Meinard ^a  

^a UNIVERSITY OF BONN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FUZZY SETS; MUSICAL INSTRUMENTS; SYNCHRONIZATION;

ACOUSTIC PIANOS; AUTOMATIC TIME SYNCHRONIZATION OF SCORE; PCM-DATA STREAMS; PITCH EXTRACTION;

COMPUTER MUSIC;

EID: 23944449593     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-31807-1_15     Document Type: Conference Paper

References (18)

1. Arifi, V.: Algorithmen zur Synchronisation von Musikdaten im Paritur-, MIDI- und PCM-Format. PhD thesis, Universität Bonn, Institut für Informatik, 2002. http://hss.ulb.uni-bonn.de:90/ulb_bonn/diss_online/ math_nat_fak/2002/arifi_vlora
2. Bobrek, M., Koch, D.: Music Signal Segmentation Using Tree-Structured Filter Banks. Journal of Audio Engineering Society, Vol. 46, No. 5, May 1998.
3. Dannenberg, R. B.: An On-Line Algorithm for Real-Time Accompaniment. Proceedings of ICMC, 1984.
4. Dannenberg, R. B., Mukaino, H.: New Techniques for Enhanced Quality of Computer Accompaniment. Proceedings of ICMC, 1988.
5. Desain, P., Honing, H., Heijink, H.: Robust Score-Performance Matching: Taking Advantage of Structural Information. ICMC Proceedings 1997, pp. 377-340.
6. Foote, J.: Automatic Audio Segmentation Using a Measure of Audio Novelity. Proceedings of IEEE International Conference on Multimedia and Expo, vol. I, 2000, pp. 452-455.
7. Foster, S., Schloss, W.A., Rockmore, A.J.: Towards an Intelligent Editor of Digital Audio: Signal Processing Methods Computer Music Journal, Vol. 6, No. 1, Spring 1982.
8. Kurth, F.: A Matlab Toolbox for Handling Standard MIDI files. http://www-mmdb.iai.uni-bonn.de/download/miditools/, Department of Computer Science III, Bonn University, Germany, 2003.
9. Large, E. W.: Dynamic programming for the analysis of serial behaviours. Behaviour Research Methods, Instruments, & Computers. 1993.
10. Klapuri, A., Virtanen, T., Holm, J.: Robust Multipitch Estimation for the Analysis and Manipulation of Polyphonic Musical Signals. In Proc. COST-G6 Conference of Digital Audio Effects, DAFx-00, Verona, Italy, 2000.
11. Mazzola, G.: The Topos of Music. Birkhäuser Verlag, 2002.
12. Orio, N., Lemouton, S., Schwarz, D.: Score Following: State of the Art and New Developments, Proc. of the Conference of New Interfaces for Musical Expression NIME, Montreal, 2003.
13. Rabiner, L.R., Juang, B.-H.: Fundamentals of Speech Recognition, Englewood Cliffs, Prentice Hall, 1993.
14. Raphael, C.: Automatic Segmentation of Acoustic Musical Signals Using Hidden Markov Models. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 21, No. 4, April 1999.
15. Raphael, C.: Automatic Transcription of Piano Music. ISMIR 2002, IRCAM, Paris, Conference Proceedings, 2002.
16. Scheirer, E. D.: Extracting Expressive Performance Information from Recorded Music. Unpublished M.S. thesis, MIT Media Laboratory, 1995 http://web.media.mit.edu/eds/thesis.pdf
17. Soulez, F., Rodet, X., Schwarz, D: Improving polyphonic and poly-instrumental music to score alignment. International Conference on Music Information Retrieval, Baltimore, 2003.
18. Turetsky, R. J., Ellis, D. P., Force-Aligning MIDI Syntheses for Polyphonic Music Transcription Generation. International Conference on Music Information Retrieval, Baltimore, USA, 2003.