Polyphonic musical sequence alignment for database search

ISMIR 2005 - 6th International Conference on Music Information Retrieval

Volumn , Issue , 2005, Pages 215-222

  Pardo, Bryan ^a   Sanghi, Manan ^a  

^a Northwestern University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BEST MATCHING; DATABASE SEARCHES; MEASURING SIMILARITIES; MULTIPLE PARTS; ONE PARTS; SEQUENCE ALIGNMENTS; STRING ALIGNMENT; STRING MATCHING; TONAL MUSIC;

ALIGNMENT; INFORMATION RETRIEVAL; QUERY LANGUAGES; SEARCH ENGINES;

QUERY PROCESSING;

EID: 46749093627     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. Mazzoni, D. and R. Dannenberg. Melody Matching Directly From Audio. in ISMIR. 2001. Bloomington, IN.
2. Meek, C. and W.P. Birmingham. Johnny Can't Sing: A Comprehensive Error Model for Sung Music Queries. in ISMIR 2002. 2002. Paris, France.
3. Hoos, H., K. Rentz, and M. Gorg. GUIDO/MIR - an Experimental Musical Information Retrieval System based on GUIDO Music Notation. in International Symposium on Music Information Retrieval. 2001. Bloomington, IN.
4. Song, J., S.Y. Bae, and K. Yoon. Mid-Level Music Melody representation of Polyphonic Audio for Query-by-Humming System. in ISMIR 2002. 2002. Paris, France.
5. McNab, R.J., L.A. Smith, and e. al. Towards the digital music library: tune retrieval from acoustic input. in Digital Libraries. 1996.
6. Clausen, M., R. Englebrecht, and e. al. Proms: A web-based tool for searching in polyphonic music. in The International Symposium on Music Information Retrieval. 2002.
7. Doraisamy, S. and S. Ruger. A Comparative and Fault-tolerance Study of the Use of N-grams with Polyphonic Music. in ISMIR 2002. 2002. Paris, France.
8. Clarisse, L.P., et al. An Auditory Model Based Transcriber of Singing Sequences. in ISMIR 2002. 2002. Paris, France.
9. Pardo, B., W.P. Birmingham, and J. Shifrin, Name that Tune: A Pilot Study in Finding a Melody from a Sung Query. Journal of the American Society for Information Science and Technology, 2004. 55(4): p. 283-300.
10. Birmingham, W.P., et al. Musart: Music Retrieval Via Aural Queries. in ISMIR 2001. 2001. Bloomington, IN.
11. Pickens, J. A Comparison of Language Modeling and Probabilistic Text Information Retrieval. in International Symposium on Music Information Retrieval. 2000. Plymouth, Massachusetts.
12. Downie, S. and M. Nelson. Evaluation of a Simple and Effective Music Information Retrieval Method. in 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. 2000. Athens, Greece.
13. Uitdenbogerd, A. and J. Zobel. Melodic Matching Techniques for Large Music Databases. in Seventh ACM International Conference on Multimedia. 1999. Orlando, FL.
14. Durey, A.S. and M. Clements. Melody Spotting Using Hidden Markov Models. in International Symposium on Music Information Retrieval. 2001. Bloomington, IN.
15. Dannenberg, R., et al. The MUSART testbed for query-by-humming evaluation. in ISMIR 2003, 4th International Conference on Music Information Retrieval. 2003. Baltimore, Maryland.
16. Gotoh, O., An improved algorithm for matching biological sequences. Journal of Molecular Biology, 1982. 162: p. 705-708.
17. Gusfield, D., Algorithms on Strings, Trees, and Sequences. 1997, New York, NY: The Press Syndicate of the University of Cambridge.
18. Needleman, S.B. and C.D. Wunsch, A general method applicable to the search for similarities in the amino acid sequence of two proteins. Journal of Molecular Biology, 1970. 48: p. 443-453.
19. Pardo, B. and W.P. Birmingham. Following a musical performance from a partially specified score. in Multimedia Technology Applications Conference. 2001. Irvine, CA.
20. MIDI-Manufacturers-Association, The Complete MIDI 1.0 Detailed Specification. 1996, Los Angeles, CA: The MIDI Manufacturers Association.
21. Hu, N., R. Dannenberg, and A. Lewis. A Probabilistic Model of Melodic Similarity. in International Computer Music Conference (ICMC). 2002. Goteborg, Sweden: The International Computer Music Association.