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Volumn , Issue , 2009, Pages 590-595

Structured prediction models for chord transcription of music audio

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY RATE; CHORD SEQUENCE; FEATURE SPACE; GENERATIVE MODEL; MACHINE LEARNING METHODS; NON-LINEAR; RECOGNITION SYSTEMS; SEQUENTIAL LEARNING; STATE-OF-THE-ART PERFORMANCE; STRUCTURAL INFORMATION; STRUCTURED PREDICTION; TRAINING SETS;

EID: 77950803555     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2009.132     Document Type: Conference Paper
Times cited : (19)

References (21)
  • 1
    • 77950834901 scopus 로고    scopus 로고
    • http://www.music-ir.org/mirex/2008
  • 2
    • 77950810146 scopus 로고    scopus 로고
    • http://mir-research.blogspot.com/2007/09/beatles-chordtranscriptions.html
  • 3
    • 77950844221 scopus 로고    scopus 로고
    • http://labrosa.ee.columbia.edu/projects/chords/
  • 4
    • 77950809044 scopus 로고    scopus 로고
    • http://www.musicir.org/mirex/2008/index.php/Audio-Chord-Detection-Results
  • 6
    • 34249753618 scopus 로고
    • Support vector networks
    • C. Cortes, and V. Vapnik, "Support vector networks", Machine Learning, 20:273-297, 1995
    • (1995) Machine Learning , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 8
    • 77950847271 scopus 로고    scopus 로고
    • Beat Tracking with Dynamic Programming
    • D.P.W. Ellis, "Beat Tracking with Dynamic Programming", MIREX 2006
    • (2006) MIREX
    • Ellis, D.P.W.1
  • 9
    • 34547495486 scopus 로고    scopus 로고
    • Identifying Cover Songs with Chroma Features and Dynamic Programming Beat Tracking
    • D.P.W. Ellis, and G.E. Poliner, "Identifying Cover Songs with Chroma Features and Dynamic Programming Beat Tracking", Proceedings of ICASSP 2007:IV-1429-1432
    • (2007) Proceedings of ICASSP , vol.4 , pp. 1429-1432
    • Ellis, D.P.W.1    Poliner, G.E.2
  • 11
    • 77950857381 scopus 로고    scopus 로고
    • T. Joachims, SVMstruct code at http://svmlight.joachims.org/svm-struct. html
    • Joachims, T.1
  • 12
    • 0142192295 scopus 로고    scopus 로고
    • Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
    • J. Lafferty, A. McCallum, and F. Pereira, "Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data", ICML 2001
    • (2001) ICML
    • Lafferty, J.1    McCallum, A.2    Pereira, F.3
  • 13
    • 1942418620 scopus 로고    scopus 로고
    • On Discriminative vs. Generative classifiers: A comparison of logistic regression and naïve Bayes
    • A. Ng, and M. Jordan, "On Discriminative vs. Generative classifiers: A comparison of logistic regression and naïve Bayes", NIPS 2001
    • (2001) NIPS
    • Ng, A.1    Jordan, M.2
  • 14
    • 67049169189 scopus 로고    scopus 로고
    • Comparisons of Sequence Labeling Algorithms and Extensions
    • N. Nguyen and Y. Guo, "Comparisons of Sequence Labeling Algorithms and Extensions", ICML 2007
    • (2007) ICML
    • Nguyen, N.1    Guo, Y.2
  • 15
    • 0024610919 scopus 로고    scopus 로고
    • A tutorial on Hidden Markov Models and selected applications in speech recognition
    • L. Rabiner, "A tutorial on Hidden Markov Models and selected applications in speech recognition", Proceedings of the IEEE 77(2):257-286
    • Proceedings of the IEEE , vol.77 , Issue.2 , pp. 257-286
    • Rabiner, L.1
  • 17
    • 13444289674 scopus 로고    scopus 로고
    • Chord Segmentation and Recognition using EM-Trained Hidden Markov Models
    • A. Sheh and D.P.W. Ellis, "Chord Segmentation and Recognition using EM-Trained Hidden Markov Models", ISMIR 2003
    • (2003) ISMIR
    • Sheh, A.1    Ellis, D.P.W.2
  • 18
    • 14344250451 scopus 로고    scopus 로고
    • Support Vector Machine Learning for Interdependent and Structured Output Spaces
    • I. Tsochantaridis, T. Hofmann, T. Joachims, and Y. Altun, "Support Vector Machine Learning for Interdependent and Structured Output Spaces", ICML 2004
    • (2004) ICML
    • Tsochantaridis, I.1    Hofmann, T.2    Joachims, T.3    Altun, Y.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.