메뉴 건너뛰기




Volumn 65, Issue 2-3, 2006, Pages 473-484

Aggregate features and ADABOOST for music classification

Author keywords

Artist recognition; Audio feature aggregation; Genre classification; MIREX; Multiclass ADABOOST

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DATABASE SYSTEMS; FEATURE EXTRACTION; INFORMATION ANALYSIS; WAVEFORM ANALYSIS;

EID: 33751531805     PISSN: 08856125     EISSN: 15730565     Source Type: Journal    
DOI: 10.1007/s10994-006-9019-7     Document Type: Article
Times cited : (235)

References (32)
  • 1
    • 33751518626 scopus 로고    scopus 로고
    • Music genre classification using the multivariate AR feature integration model
    • Extended Abstract
    • Ahrendt, P., & Meng, A. (2005). Music Genre Classification using the multivariate AR feature integration model. Extended Abstract. MIREX genre classification contest (www.music-ir.org/evaluation/mirex-results).
    • (2005) MIREX Genre Classification Contest
    • Ahrendt, P.1    Meng, A.2
  • 3
    • 2942747947 scopus 로고    scopus 로고
    • Representing musical genre: A state of the art
    • Aucouturier, J., & Pachet, F. (2003). Representing musical genre: A state of the art. Journal of New Music Research 32(1), 1-12.
    • (2003) Journal of New Music Research , vol.32 , Issue.1 , pp. 1-12
    • Aucouturier, J.1    Pachet, F.2
  • 8
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman, L. (1996). Bagging Predictors. Machine Learning 24(1), 123-140.
    • (1996) Machine Learning , vol.24 , Issue.1 , pp. 123-140
    • Breiman, L.1
  • 9
    • 34249753618 scopus 로고
    • Support-vector networks
    • Cortes, C., & Vapnik, V. (1995). Support-Vector Networks. Machine Learning 20(3), 273-297.
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 12
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Freund, Y., & Schapire, R. E. (1997). A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences 55(1), 119-139.
    • (1997) Journal of Computer and System Sciences , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 15
    • 0022806994 scopus 로고
    • Spectral analysis and discrimination by zero-crossings
    • Kedem, B. (1986). Spectral analysis and discrimination by zero-crossings. Proc. IEEE 74(11), 1477-1493.
    • (1986) Proc. IEEE , vol.74 , Issue.11 , pp. 1477-1493
    • Kedem, B.1
  • 22
    • 0016495091 scopus 로고
    • Linear prediction: A tutorial review
    • Makhoul, J. (1975). Linear Prediction: A Tutorial Review. In: Proceedings of the IEEE, 63, 561-580.
    • (1975) Proceedings of the IEEE , vol.63 , pp. 561-580
    • Makhoul, J.1
  • 24
    • 33751541027 scopus 로고    scopus 로고
    • Song-level features and SVMs for music classification
    • Extended Abstract
    • Mandel, M., & Ellis, D. (2005b). Song-level features and SVMs for music classification. Extended Abstract. MIREX 2005 genre classification contest (www.music-ir.org/evaluation/mirex-results).
    • (2005) MIREX 2005 Genre Classification Contest
    • Mandel, M.1    Ellis, D.2
  • 27


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.