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Volumn , Issue , 2010, Pages 213-218

Evaluating the genre classification performance of lyrical features relative to audio, symbolic and cultural features

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ACCURACY; CLASSIFICATION METHODOLOGIES; CLASSIFICATION PERFORMANCE; EXPERIMENTAL RESEARCH; FEATURE TYPES; GENRE CLASSIFICATION; MUSICAL GENRE CLASSIFICATION; MUSICAL INFORMATION; STATE OF THE ART; WEB SEARCHES;

EID: 84866621013     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (38)

References (19)
  • 1
    • 33646129439 scopus 로고    scopus 로고
    • Name that song!: A probabilistic approach to querying music and text
    • Cambridge, MA: MIT Press
    • Brochu, E., and N. de Freitas. 2003. "Name that song!": A probabilistic approach to querying music and text. In Advances in Neural Information Processing Systems 15, 1505-12. Cambridge, MA: MIT Press.
    • (2003) Advances in Neural Information Processing Systems , vol.15 , pp. 1505-1512
    • Brochu, E.1    De Freitas, N.2
  • 8
    • 14844303546 scopus 로고    scopus 로고
    • Semi-supervised learning from different information sources
    • Li, T., and M. Ogihara. 2004. Semi-supervised learning from different information sources. Knowledge and Information Systems 7 (3): 289-309.
    • (2004) Knowledge and Information Systems , vol.7 , Issue.3 , pp. 289-309
    • Li, T.1    Ogihara, M.2
  • 13
    • 70350625330 scopus 로고    scopus 로고
    • Combination of audio and lyrics features for genre classification in digital audio collections
    • Mayer, R., R. Neumayer, and A. Rauber. 2008. Combination of audio and lyrics features for genre classification in digital audio collections. Proc. of the ACM Int. Conference on Multimedia. 159-68.
    • (2008) Proc. of the ACM Int. Conference on Multimedia , pp. 159-168
    • Mayer, R.1    Neumayer, R.2    Rauber, A.3
  • 16
    • 37148999155 scopus 로고    scopus 로고
    • Integration of text and audio features for genre classification in music information retrieval
    • Neumayer, R., and A. Rauber. 2007. Integration of text and audio features for genre classification in music information retrieval. Proc. of the European Conference on IR Research. 724-7.
    • (2007) Proc. of the European Conference on IR Research , pp. 724-727
    • Neumayer, R.1    Rauber, A.2
  • 17
    • 84871992019 scopus 로고    scopus 로고
    • Using jWebMiner 2.0 to improve music classification performance by combining different types of features mined from the web
    • Accepted for publication at the
    • Vigliensoni, G., C. McKay, and I. Fujinaga. 2010. Using jWebMiner 2.0 to improve music classification performance by combining different types of features mined from the web. Accepted for publication at the Int. Society for Music Information Retrieval Conference.
    • (2010) Int. Society for Music Information Retrieval Conference
    • Vigliensoni, G.1    McKay, C.2    Fujinaga, I.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.