Stochastic text models for music categorization

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

Volumn 5342 LNCS, Issue , 2008, Pages 55-64

  Pérez Sancho, Carlos ^a   Rizo, David ^a   Iñesta, José M ^a  

^a UNIVERSITY OF ALICANTE   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFIERS; COMPUTATIONAL LINGUISTICS; ELECTRONIC MUSICAL INSTRUMENTS; INFORMATION SERVICES; LEARNING SYSTEMS; MODEL STRUCTURES; PATTERN RECOGNITION; SURFACE PLASMON RESONANCE; SYNTACTICS; TECHNICAL PRESENTATIONS; TEXT PROCESSING;

AUTOMATIC GENRE CLASSIFICATIONS; BAYES CLASSIFIERS; ENSEMBLE OF CLASSIFIERS; MUSIC COLLECTIONS; MUSIC GENRES; MUSIC INFORMATION RETRIEVALS; MUSIC RECOGNITIONS; MUSIC STORES; N-GRAMS; STOCHASTIC LANGUAGE MODELS; TEXT CATEGORIZATIONS; TEXT MODELS;

STOCHASTIC MODELS;

EID: 58349105403     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-89689-0_10     Document Type: Conference Paper

References (11)

1. Tzanetakis, G., Cook, P.: Musical genre classification of audio signals. IEEE Transactions on Speech and Audio Processing 10, 205-210 (2002)
2. McKay, C., Fujinaga, I.: Automatic genre classification using large high-level musical feature sets. In: Proceedings of the ISMIR, pp. 525-530 (2004)
3. Jelinek, F.: Statistical Methods for Speech Recognition. MIT Press, Cambridge (1998)
4. Cavnar, W.B., Trenkle, J.M.: N-gram-based text categorization. In: Proceedings of SDAIR, 1994, 3rd Annual Symposium on Document Analysis and Information Retrieval, Las Vegas, US, pp. 161-175 (1994)
5. Pérez-Sancho, C., Iñesta, J.M., Calera-Rubio, J.: Style recognition through statistical event models. Journal of New Music Research 34, 331-340 (2005)
6. Tzanetakis, G., Ermolinskyi, A., Cook, P.: Pitch histograms in audio and symbolic music information retrieval. In: Proceedings of the ISMIR, Paris, France (2002)
7. Cruz-Alcázar, P.P., Vidal, E., Pérez-Cortes, J.C.: Musical style identification using grammatical inference: The encoding problem. In: Sanfeliu, A., Ruiz-Shulcloper, J. (eds.) CIARP 2003. LNCS, vol. 2905, pp. 375-382. Springer, Heidelberg (2003)
8. Mccallum, A., Nigam, K.: A comparison of event models for naive bayes text classification (1998)
9. Domingos, P., Pazzani, M.: Beyond independence: conditions for the optimality of simple bayesian classifier. Machine Learning 29, 103-130 (1997)
10. Cover, T.M., Thomas, J.A.: Elements of Information Theory. John Wiley, Chichester (1991)
11. Witten, I., Bell, T.: The zero-frequency problem: Estimating the probabilities of novel events in adaptive text compression. IEEE Transactions on Information Theory 37, 1085-1094 (1991)