메뉴 건너뛰기




Volumn , Issue , 2011, Pages 759-764

Multi-modal non-prototypical music mood analysis in continuous space: Reliability and performances

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC FEATURES; AUTOMATIC ANALYSIS; CONTINUOUS SPACES; CORRELATION COEFFICIENT; DIMENSIONAL MODEL; FEATURE RELEVANCE; GOLD STANDARDS; LATE FUSION; MULTI-MODAL; MUSIC MOOD ANALYSIS; OPTIMAL MODELING; PRE-SELECTION; TEST DATA; WEIGHTED ESTIMATOR;

EID: 84871398919     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (21)
  • 1
    • 77952482284 scopus 로고    scopus 로고
    • Roedy Black Publishing, Vancouver, Canada, 2nd edition
    • W. Chase. How Music REALLY Works! Roedy Black Publishing, Vancouver, Canada, 2nd edition, 2006.
    • (2006) How Music REALLY Works!
    • Chase, W.1
  • 2
    • 84873646150 scopus 로고    scopus 로고
    • Prediction of multidimensional emotional ratings in music from audio using multivariate regression models
    • Kobe, Japan
    • T. Eerola, O. Lartillot, and P. Toiviainen. Prediction of multidimensional emotional ratings in music from audio using multivariate regression models. In Proc. of ISMIR, pages 621-626, Kobe, Japan, 2009.
    • (2009) Proc. of ISMIR , pp. 621-626
    • Eerola, T.1    Lartillot, O.2    Toiviainen, P.3
  • 3
    • 33846223296 scopus 로고    scopus 로고
    • Evaluation of natural emotions using self assessment manikins
    • M. Grimm and K. Kroschel. Evaluation of natural emotions using self assessment manikins. In Proc. of ASRU, pages 381-385, 2005.
    • (2005) Proc. of ASRU , pp. 381-385
    • Grimm, M.1    Kroschel, K.2
  • 8
    • 77955115533 scopus 로고    scopus 로고
    • Improving mood classification in music digital libraries by combining lyrics and audio
    • Gold Coast, Queensland, Australia
    • X. Hu and J. S. Downie. Improving mood classification in music digital libraries by combining lyrics and audio. In Proc. Joint Conference on Digital Libraries (JCDL), pages 159-168, Gold Coast, Queensland, Australia, 2010.
    • (2010) Proc. Joint Conference on Digital Libraries (JCDL) , pp. 159-168
    • Hu, X.1    Downie, J.S.2
  • 9
    • 84873433681 scopus 로고    scopus 로고
    • The 2007 mirex audio mood classification Task: Lessons learned
    • Philadelphia, USA
    • X. Hu, J. S. Downie, C. Laurier, M. Bay, and A. F. Ehmann. The 2007 MIREX Audio Mood Classification Task: Lessons Learned. In Proc. ISMIR, pages 462-467, Philadelphia, USA, 2008.
    • (2008) Proc. ISMIR , pp. 462-467
    • Hu, X.1    Downie, J.S.2    Laurier, C.3    Bay, M.4    Ehmann, A.F.5
  • 10
    • 78249252118 scopus 로고    scopus 로고
    • Automated music emotion recognition: A systematic evaluation
    • A. Huq, J. P. Bello, and R. Rowe. Automated Music Emotion Recognition: A Systematic Evaluation. Journal of New Music Research, 39(3):227-244, 2010.
    • (2010) Journal of New Music Research , vol.39 , Issue.3 , pp. 227-244
    • Huq, A.1    Bello, J.P.2    Rowe, R.3
  • 13
    • 8644267670 scopus 로고    scopus 로고
    • ConceptNet - A practical commonsense reasoning tool-kit
    • H. Liu and P. Singh. ConceptNet - a practical commonsense reasoning tool-kit. BT Technology Journal, 22(4):211-226, 2004.
    • (2004) BT Technology Journal , vol.22 , Issue.4 , pp. 211-226
    • Liu, H.1    Singh, P.2
  • 15
    • 84948481845 scopus 로고
    • An algorithm for suffix stripping
    • October
    • M. F. Porter. An algorithm for suffix stripping. Program, 3(14):130-137, October 1980.
    • (1980) Program , vol.3 , Issue.14 , pp. 130-137
    • Porter, M.F.1
  • 16
    • 72449184099 scopus 로고    scopus 로고
    • SVR-based music mood classification and context-based music recommendation
    • Beijing, China
    • S. Rho, B.-J. Han, and E. Hwang. SVR-based music mood classification and context-based music recommendation. In Proc. ACM Multimedia, pages 713-716, Beijing, China, 2009.
    • (2009) Proc. ACM Multimedia , pp. 713-716
    • Rho, S.1    Han, B.-J.2    Hwang, E.3
  • 17
    • 0031972902 scopus 로고    scopus 로고
    • Tempo and beat analysis of acoustic musical signals
    • January
    • E. D. Scheirer. Tempo and beat analysis of acoustic musical signals. Journal of the Acoustic Society of America, 103(1):588-601, January 1998.
    • (1998) Journal of the Acoustic Society of America , vol.103 , Issue.1 , pp. 588-601
    • Scheirer, E.D.1
  • 18
    • 77952382770 scopus 로고    scopus 로고
    • Feature selection for content-based, time-varying musical emotion regression
    • Philadelphia, Pennsylvania, USA
    • E. M. Schmidt, D. Turnbull, and Y. E. Kim. Feature selection for content-based, time-varying musical emotion regression. In Proc. of MIR, pages 267-274, Philadelphia, Pennsylvania, USA, 2010.
    • (2010) Proc. of MIR , pp. 267-274
    • Schmidt, E.M.1    Turnbull, D.2    Kim, Y.E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.