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Volumn , Issue , 2012, Pages 523-528

Evaluation of musical features for emotion classification

Author keywords

[No Author keywords available]

Indexed keywords

AUDIO FEATURES; AUTOMATIC CLASSIFIERS; CROSS VALIDATION; EMOTION CLASSIFICATION; EMOTION RECOGNITION; FEATURE SETS; GROUND TRUTH DATA; MUSICAL FEATURES; POLYNOMIAL KERNELS; RADIAL BASIS FUNCTIONS; SPECTRAL FEATURE; STANDARD ALGORITHMS;

EID: 84873423683     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (74)

References (42)
  • 4
    • 43049138113 scopus 로고    scopus 로고
    • Foafing the music: Bridging the semantic gap in music recommendation
    • O. Celma. Foafing the Music: Bridging the Semantic Gap in Music Recommendation. In The Semantic Web-ISWC, 2006.
    • (2006) The Semantic Web-ISWC
    • Celma, O.1
  • 5
    • 84858852059 scopus 로고    scopus 로고
    • Are the emotions expressed in music genre-specific? An audio-based evaluation of datasets spanning classical, film, pop and mixed genres
    • March 2011
    • T. Eerola. Are the Emotions Expressed in Music Genre-specific? An Audio-based Evaluation of Datasets Spanning Classical, Film, Pop and Mixed Genres. Journal of New Music Research, 40(March 2012):349-366, 2011.
    • (2012) Journal of New Music Research , vol.40 , pp. 349-366
    • Eerola, T.1
  • 7
    • 78650825957 scopus 로고    scopus 로고
    • A comparison of the discrete and dimensional models of emotion in music
    • August
    • T. Eerola and J.K. Vuoskoski. A Comparison of the Discrete and Dimensional Models of Emotion in Music. Psychology of Music, 39(1):18-49, August 2010.
    • (2010) Psychology of Music , vol.39 , Issue.1 , pp. 18-49
    • Eerola, T.1    Vuoskoski, J.K.2
  • 9
    • 79952972450 scopus 로고    scopus 로고
    • A survey of audio-based music classification and annotation
    • Z. Fu, G. Lu, K.M. Ting, and D. Zhang. A Survey of Audio-based Music Classification and Annotation. IEEE Transactions on Multimedia, 13(2):303-319, 2011.
    • (2011) IEEE Transactions on Multimedia , vol.13 , Issue.2 , pp. 303-319
    • Fu, Z.1    Lu, G.2    Ting, K.M.3    Zhang, D.4
  • 10
    • 0001175419 scopus 로고
    • Experimental studies of the elements of expression in music
    • K. Hevner. Experimental studies of the elements of expression in music. The American Journal of Psychology, 48:246-268, 1936.
    • (1936) The American Journal of Psychology , vol.48 , pp. 246-268
    • Hevner, K.1
  • 19
    • 0036555380 scopus 로고    scopus 로고
    • Music: A link between cognition and emotion
    • C.L. Krumhansl. Music: A Link Between Cognition and Emotion. American Psychological Society, 11(2):45-50, 2002.
    • (2002) American Psychological Society , vol.11 , Issue.2 , pp. 45-50
    • Krumhansl, C.L.1
  • 20
    • 57049179599 scopus 로고    scopus 로고
    • Social tagging and music information retrieval
    • June
    • P. Lamere. Social Tagging and Music Information Retrieval. Journal of New Music Research, 37(2):101-114, June 2008.
    • (2008) Journal of New Music Research , vol.37 , Issue.2 , pp. 101-114
    • Lamere, P.1
  • 24
    • 84873447403 scopus 로고    scopus 로고
    • A semantic space for music derived from social tags
    • Citeseer
    • M. Levy. A Semantic Space for Music Derived from Social Tags. In Austrian Compuer Society, Volume 1, page 12. Citeseer, 2007.
    • (2007) Austrian Compuer Society , vol.1 , pp. 12
    • Levy, M.1
  • 27
    • 49549124035 scopus 로고    scopus 로고
    • Automatic emotion prediction of song excerpts: Index construction, algorithm design, and empirical comparison
    • December
    • K.F. MacDorman, S. Ough, and C. Ho. Automatic Emotion Prediction of Song Excerpts: Index Construction, Algorithm Design, and Empirical Comparison. Journal of New Music Research, 36(4):281-299, December 2007.
    • (2007) Journal of New Music Research , vol.36 , Issue.4 , pp. 281-299
    • MacDorman, K.F.1    Ough, S.2    Ho, C.3
  • 28
    • 77958014369 scopus 로고    scopus 로고
    • A comparison of signal of signal-based music recommendation to genre labels, collaborative filtering, musicological analysis, human recommendation and random baseline
    • T. Magno and C. Sable. A Comparison of Signal of Signal-based Music Recommendation to Genre Labels, Collaborative Filtering, Musicological Analysis, Human Recommendation and Random Baseline. In Proceedings of the 9th International Conference of Music Information Retrieval, pages 161-166, 2008.
    • (2008) Proceedings of the 9th International Conference of Music Information Retrieval , pp. 161-166
    • Magno, T.1    Sable, C.2
  • 33
    • 65849105927 scopus 로고    scopus 로고
    • Analytical features: A knowledge-based approach to audio feature generation
    • F. Pachet and P. Roy. Analytical Features: A Knowledge-Based Approach to Audio Feature Generation. EURASIP Journal on Audio, Speech, and Music Processing, 2009(2):1-23, 2009.
    • (2009) EURASIP Journal on Audio, Speech, and Music Processing , vol.2009 , Issue.2 , pp. 1-23
    • Pachet, F.1    Roy, P.2
  • 35
    • 85008062084 scopus 로고    scopus 로고
    • Generalizability and simplicity as criteria in feature selection: Application to mood classification in music
    • P. Saari, T. Eerola, and O. Lartillot. Generalizability and Simplicity as Criteria in Feature Selection: Application to Mood Classification in Music. IEEE Transactions on Audio, Speech, and Language Processing, 19(6):1802-1812, 2011.
    • (2011) IEEE Transactions on Audio, Speech, and Language Processing , vol.19 , Issue.6 , pp. 1802-1812
    • Saari, P.1    Eerola, T.2    Lartillot, O.3
  • 36
    • 77952382770 scopus 로고    scopus 로고
    • Feature selection for content-based, time-varying musical emotion regression categories and subject descriptors
    • E.M. Schmidt, D. Turnbull, and Y.E. Kim. Feature Selection for Content-Based, Time-Varying Musical Emotion Regression Categories and Subject Descriptors. In Multimedia Information Retrieval, pages 267-273, 2010.
    • (2010) Multimedia Information Retrieval , pp. 267-273
    • Schmidt, E.M.1    Turnbull, D.2    Kim, Y.E.3
  • 37
    • 77952482069 scopus 로고    scopus 로고
    • Determination of nonprototypical valence and arousal in popular music: Features and performances
    • B. Schuller, J. Dorfner, and G. Rigoll. Determination of Nonprototypical Valence and Arousal in Popular Music: Features and Performances. EURASIP Journal on Audio, Speech, and Music Processing, 2010:1-19, 2010.
    • (2010) EURASIP Journal on Audio, Speech, and Music Processing , vol.2010 , pp. 1-19
    • Schuller, B.1    Dorfner, J.2    Rigoll, G.3
  • 40
    • 84873586245 scopus 로고    scopus 로고
    • Tags better than audio features? The effect of joint use of tags and audio content features for artistic style clutering
    • number ISMIR
    • D. Wang, T. Li, and M. Ogihara. Tags Better Than Audio Features? The Effect of Joint use of Tags and Audio Content Features for Artistic Style Clutering. In 11th International Society on Music Information Retrieval Conference, number ISMIR, pages 57-62, 2010.
    • (2010) 11th International Society on Music Information Retrieval Conference , pp. 57-62
    • Wang, D.1    Li, T.2    Ogihara, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.