A Probabilistic Model of Melodic Similarity

International Computer Music Conference, ICMC Proceedings

Volumn , Issue , 2002, Pages 471-474

  Hu, Ning ^a   Dannenberg, Roger B ^a   Lewis, Ann L ^a  

^a Carnegie Mellon University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER MUSIC;

DISTANCE FUNCTIONS; EDIT DISTANCE; INTERACTIVE MUSIC SYSTEMS; MELODIC SIMILARITY; MUSIC DATABASE; MUTATION PROBABILITY; PITCH DIFFERENCES; PROBABILISTIC MODELS; PROBABILISTICS;

DYNAMIC PROGRAMMING;

EID: 85159722666     PISSN: 22233881     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. Cope, D. (1996). Experiments in Musical Intelligence (Vol. 12). Madison, Wisconsin: A-R Editions, Inc.
2. Dannenberg, R. B. (1984, 1985). "An On-Line Algorithm for Real-Time Accompaniment." Proceedings of the 1984 International Computer Music Conference. San Francisco: International Computer Music Association, pp. 193-198.
3. Durbin, R., Eddy, S., Krogh, A., & Mitchison, G. (1998). Biological sequence analysis: Cambridge University Press.
4. Grubb, L., & Dannenberg, R. B. (1997). "A Stochastic Method of Tracking a Vocal Performer." 7997 International Computer Music Conference. San Francisco: International Computer Music Association.
5. Hewlett, W. and Self ridge-Field, E. (1998). Melodic Similarity: Concepts, Procedures, and Applications. Computing in Musicology (Vol. 11). Cambridge: MIT Press.
6. Hoshishiba, T., Horiguchi, S., & Fujinaga, I. (1996). "Study of Expression and Individuality in Music Performance Using Normative Data Derived from MIDI Recordings of Piano Music." International Conference on Music Perception and Cognition, pp. 465-470.
7. Itakura, F. (1975). "Minimum prediction residual principle applied to speech recognition." IEEE Transactions on Acoustics, Speech, and Signal Processing, AS SP-2 3, 52-72.
8. Large, E. W. (1993). "Dynamic programming for the analysis of serial behaviors." Behavior Research Methods, Instruments, and Computers, 25(2), 238-241.
9. Mazzoni, D. (2001). "A Fast Data Structure for Disk-Based Audio Editing." Proceedings of the 2001 International Computer Music Conference. San Francisco: International Computer Music Association, pp. 107-110.
10. Mazzoni, D., & Dannenberg, R. B. (2001). "Melody Matching Directly From Audio." 2nd Annual International Symposium on Music Information Retrieval. Bloomington: Indiana University, pp. 17-18.
11. McNab, R. J., Smith, L. A., Witten, I. H., Henderson, C. L., & Cunningham, S. J. (1996). "Towards the digital music library: Tune retrieval from acoustic input." Proceedings of Digital Libraries '96. ACM.
12. Meek, C, & Birmingham, W. P. (2001). "Thematic Extractor." 2nd Annual International Symposium on Music Information Retrieval. Bloomington: Indiana University, pp. 119-128.
13. Nishimura, T., Hashiguchi, H., Takita, J., Zhang, J. X., Goto, M., & Oka, R. (2001). "Music Signal Spotting Retrieval by a Humming Query Using Start Frame Feature Dependent Continuous Dynamic Programming." International Symposium on Music Information Retrieval, pp. 211-218.
14. Raphael, C. (1999). "Automatic Segmentation of Acoustic Musical Signals Using Hidden Markov Models." IEEE Transactions on RAMI, 27(4), 360-370.
15. Rolland, P.-Y., & Ganascia, J.-G. (2000). Musical pattern extraction and similarity assessment. In E. Miranda (Ed.), Readings in Music and Artificial Intelligence (pp. 115-144): Harwood Academic Publishers.
16. Stammen, D., & Pennycook, B. (1993). "Real-Time Recognition of Melodic Fragments Using the Dynamic Timewarp Algorithm." Proceedings of the 1993 International Computer Music Conference. San Francisco: International Computer Music Association, pp. 232-235.