Musical style identification using grammatical inference: The encoding problem

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2905, Issue , 2003, Pages 375-382

  Cruz Alcázar, Pedro P ^a   Vidal Ruiz, Enrique ^a   Pérez Cortés, Juan C ^a  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL GRAMMARS; CONTENT BASED RETRIEVAL; PATTERN RECOGNITION; STOCHASTIC SYSTEMS;

CLASSIFICATION ERROR RATE; CONFIDENCE VALUES; GRAMMATICAL INFERENCES; MULTIMEDIA DATABASE; MUSIC EDUCATION; REGULAR GRAMMAR; STOCHASTIC GRAMMARS; STYLE IDENTIFICATIONS;

CLASSIFICATION (OF INFORMATION);

EID: 35248884856     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24586-5_46     Document Type: Article

References (20)

1. Amengual, J.C.; Vidal, E. 1996. Two Different Approaches for Cost-efficient Viterbi Parsing with Error Correction. Advances in Structural and Syntactic Pattern Recognition, pp. 30-39. P. Perner, P. Wang and A. Rosenfeld (eds.). LNCS 1121. Springer-Verlag.
2. Cambouropoulos, E. et al. 2001. Pattern Processing in Melodic Sequences. Computers and the Humanities 35(1):9-21
3. Carrasco, R.C.; Oncina, J. 1994. Learning Stochastic Regular Grammars by means of a State Merging Method. "Grammatical Inference and Applications". Carrasco, R.C.; Oncina, J. eds. Springer-Verlag, (Lecture notes in Artificial Intelligence (862)).
4. Cruz, P.; Vidal, E. 1998. Learning Regular Grammars to Model Musical Style: Comparing Different Coding Schemes. Proceedings of the 4th International Colloquium on Grammatical Inference ICGI-98, Vasant Honavar, Giora Slutzki (Eds.) Lecture Notes in Artificial Intelligence 1433,
5. Subseries of Lecture Notes in Computer Science.
6. Cruz, P.; Vidal, E. 2003. Modeling Musical Style Using Grammatical Inference Techniques: a Tool for Classifying and Generating Melodies. Proceedings of the 3rd International Conference on Web Delivering of Music (WEDELMUSIC 2003), Leeds, UK.
7. To appear in September 2003. IEEE Computer Society.
8. Forney, G. D. 1973. The Viterbi algorithm. IEEE Proc. 3, pp. 268-278.
9. Garcia, P.; Vidal, E. 1990. Inference of K-Testable Languages In the Strict Sense and Application to Syntactic Pattern Recognition. IEEE Trans. on PAMI, 12, 9, pp. 920-925.
10. Gold, E. M. 1967. Language Identification in the Limit. Inf. and Control, Vol. 10, pp. 447-474.
11. Jelinek, F. 1998. Statistical Methods for Speech Recognition. MIT Press.
12. Oncina, J.; García, P. "Inferring regular languages in polynomial update time. Pattern Recognition and Image Analysis". N. Pérez de la Blanca, A. Sanfeliú and E. Vidal eds. World Scientific, 1992.
13. Pollastri, E.; Simoncelli, G. 2001. Classification of Melodies by Composer with Hidden Markov Models. Proceedings of the First International Conference on WEB Delivering of i Music WEDELMUSIC'01. IEEE Computer Press, pp. 88-95.
14. Ponce de León, P. J.; Iñesta, J. M. 2002. Musical Style Identification Using Self-Organising Maps. Proceedings of the Second International Conference on WEB Delivering of Music WEDELMUSIC'02. IEEE Computer Press, pp. 82-92.
15. Rosenfeld, R.; Clarkson, P. 1997. Statistical Language Modeling using the CMU-Cambridge Toolkit. Proceedings of the Eurospeech'97. Volume 5, pages 2707-2710.
16. Rulot, H.; Vidal, E. 1987. Modelling (sub)string-length based constraints through a Gramatical Inference method. NATO ASI Series, Vol. F30 Pattern Recognition Theory and Applications, pp. 451-459. Springer-Verlag.
17. Segarra, E. 1993. Una Aproximación Inductiva a la Comprensión del Discurso Continuo. PhD diss. Facultad de Informática. Universidad Politécnica de Valencia.
18. Selfridge-Field, E. 1998. Representing Musical Information for Retrieval. Invited talk, Association for Computing Machinery: SIGIR: Exploratory Workshop on Music Information Retrieval, Berkeley, CA; 19 August 1998.
19. Soltau, H. et al. 1998. Recognition of Music Types. Proceedings of the International Conference on Acoustics, Speech and Signal Processing ICASSP 98, pp. 1137-1140. Seattle, Washington.
20. Wiggins, G. et al. 1993. A Framework for the Evaluation of Music Representation Systems. Computer Music Journal 17(3):31-42