메뉴 건너뛰기




Volumn 92, Issue 11, 2012, Pages 2723-2737

Music genre classification using LBP textural features

Author keywords

Image processing; Music genre; Pattern recognition; Texture

Indexed keywords

AUDIO CONTENT; AUDIO SIGNAL; CLASSIFICATION SYSTEM; DATA SETS; LOCAL BINARY PATTERNS; LOCAL FEATURE EXTRACTION; MUSIC DATABASE; MUSIC GENRE; MUSIC GENRE CLASSIFICATION; SPECTROGRAMS; STRUCTURAL TEXTURES; TEXTURAL FEATURE; TEXTURE FEATURES; TIME-FREQUENCY IMAGES;

EID: 84862278688     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2012.04.023     Document Type: Article
Times cited : (153)

References (36)
  • 2
    • 72949116766 scopus 로고    scopus 로고
    • Automatic identification of audio recordings based on statistical modeling
    • N. Orio Automatic identification of audio recordings based on statistical modeling Signal Processing 90 4 2010 1064 1076
    • (2010) Signal Processing , vol.90 , Issue.4 , pp. 1064-1076
    • Orio, N.1
  • 6
    • 57049173452 scopus 로고    scopus 로고
    • Scanning the dial: The rapid recognition of music genres
    • R.O. Gjerdingen, and D. Perrott Scanning the dial: the rapid recognition of music genres Journal of New Music Research 37 2 2008 93 100
    • (2008) Journal of New Music Research , vol.37 , Issue.2 , pp. 93-100
    • Gjerdingen, R.O.1    Perrott, D.2
  • 9
    • 72949103915 scopus 로고    scopus 로고
    • On the suitability of state-of-the-art music information retrieval methods for analyzing, categorizing and accessing non-western and ethnic music collections
    • T. Lidy, C.N. Silla, O. Cornelis, F. Gouyon, A. Rauber, C.A.A. Kaestner, and andA.L. Koerich On the suitability of state-of-the-art music information retrieval methods for analyzing, categorizing and accessing non-western and ethnic music collections Signal Processing 90 2010 1032 1048
    • (2010) Signal Processing , vol.90 , pp. 1032-1048
    • Lidy, T.1    Silla, C.N.2    Cornelis, O.3    Gouyon, F.4    Rauber, A.5    Kaestner, C.A.A.6    Koerich, A.L.7
  • 13
    • 0038535978 scopus 로고    scopus 로고
    • Using psycho-acoustic models and self-organizing maps to create a hierarchical structuring of music by musical styles
    • A. Rauber, E. Pampalk, D. Merkl, Using psycho-acoustic models and self-organizing maps to create a hierarchical structuring of music by musical styles, in: 3rd International Conference on Music Information Retrieval, 2002, pp. 71-80.
    • (2002) 3rd International Conference on Music Information Retrieval , pp. 71-80
    • Rauber, A.1    Pampalk, E.2    Merkl, D.3
  • 14
    • 84873536955 scopus 로고    scopus 로고
    • Evaluation of feature extractors and psycho-acoustic transformations for music genre classification
    • T. Lidy, A. Rauber, Evaluation of feature extractors and psycho-acoustic transformations for music genre classification, in: 6th International Conference on Music Information Retrieval, 2005, pp 34-41.
    • (2005) 6th International Conference on Music Information Retrieval , pp. 34-41
    • Lidy, T.1    Rauber, A.2
  • 24
    • 84862298557 scopus 로고    scopus 로고
    • MIREX, Music Information Retrieval Evaluation Exchange
    • MIREX, Music Information Retrieval Evaluation Exchange, 2010 〈 http://www.music-ir.org 〉.
    • (2010)
  • 30
    • 84953656445 scopus 로고
    • Subdivision of the audible frequency range into critical bands (frequenzgruppen)
    • E. Zwicker Subdivision of the audible frequency range into critical bands (frequenzgruppen) Acoustical Society of America Journal 33 1961 248
    • (1961) Acoustical Society of America Journal , vol.33 , pp. 248
    • Zwicker, E.1
  • 32
    • 38349135448 scopus 로고    scopus 로고
    • From dynamic classifier selection to dynamic ensemble selection
    • A.H.R. Ko, R. Sabourin, and A.S. Britto From dynamic classifier selection to dynamic ensemble selection Pattern Recognition 41 5 2008 1718 1731
    • (2008) Pattern Recognition , vol.41 , Issue.5 , pp. 1718-1731
    • Ko, A.H.R.1    Sabourin, R.2    Britto, A.S.3
  • 35
    • 84905173660 scopus 로고    scopus 로고
    • Additional evidence that common low-level features of individual audio frames are not representative of music genres
    • Barcelona
    • G. Marques, M. Lopes, M. Sordo, T. Langlois, F. Gouyon, Additional evidence that common low-level features of individual audio frames are not representative of music genres, in: Sound and Music Computing Conference, Barcelona, 2010.
    • (2010) Sound and Music Computing Conference
    • Marques, G.1    Lopes, M.2    Sordo, M.3    Langlois, T.4    Gouyon, F.5
  • 36
    • 84873596118 scopus 로고    scopus 로고
    • Improving genre classification by combination of audio and symbolic descriptors using a transcription system
    • Vienna, Austria
    • T. Lidy, A. Rauber, A. Pertusa, J.M. Inesta, Improving genre classification by combination of audio and symbolic descriptors using a transcription system, in: Proceedings of ISMIR, Vienna, Austria, 2007.
    • (2007) Proceedings of ISMIR
    • Lidy, T.1    Rauber, A.2    Pertusa, A.3    Inesta, J.M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.