메뉴 건너뛰기




Volumn , Issue , 2014, Pages 1041-1044

A dataset and taxonomy for urban sound research

Author keywords

Classification; Dataset; Taxonomy; Urban sound

Indexed keywords

CLASSIFICATION (OF INFORMATION); TAXONOMIES;

EID: 84913580340     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2647868.2655045     Document Type: Conference Paper
Times cited : (1212)

References (16)
  • 2
    • 79951725636 scopus 로고    scopus 로고
    • Towards standardization in soundscape preference assessment
    • A. L. Brown, J. Kang, and T. Gjestland. Towards standardization in soundscape preference assessment. Applied Acoustics, 72(6):387-392, 2011.
    • (2011) Applied Acoustics , vol.72 , Issue.6 , pp. 387-392
    • Brown, A.L.1    Kang, J.2    Gjestland, T.3
  • 3
    • 33846110275 scopus 로고    scopus 로고
    • A flexible framework for key audio effects detection and auditory context inference
    • L.-H. Cai, L. Lu, A. Hanjalic, H.-J. Zhang, and L.-H. Cai. A flexible framework for key audio effects detection and auditory context inference. IEEE TASLP, 14(3):1026-1039, 2006.
    • (2006) IEEE TASLP , vol.14 , Issue.3 , pp. 1026-1039
    • Cai, L.-H.1    Lu, L.2    Hanjalic, A.3    Zhang, H.-J.4    Cai, L.-H.5
  • 4
    • 84890499569 scopus 로고    scopus 로고
    • Unsupervised hierarchical structure induction for deeper semantic analysis of audio
    • S. Chaudhuri and B. Raj. Unsupervised hierarchical structure induction for deeper semantic analysis of audio. In IEEE ICASSP, pages 833-837, 2013.
    • (2013) IEEE ICASSP , pp. 833-837
    • Chaudhuri, S.1    Raj, B.2
  • 5
    • 68149163531 scopus 로고    scopus 로고
    • Environmental sound recognition with time-frequency audio features
    • S. Chu, S. Narayanan, and C.-C. Kuo. Environmental sound recognition with time-frequency audio features. IEEE TASLP, 17(6):1142-1158, 2009.
    • (2009) IEEE TASLP , vol.17 , Issue.6 , pp. 1142-1158
    • Chu, S.1    Narayanan, S.2    Kuo, C.-C.3
  • 6
    • 83455255740 scopus 로고    scopus 로고
    • Spectral vs spectro-temporal features for acoustic event detection
    • C. V. Cotton and D. P. W. Ellis. Spectral vs. spectro-temporal features for acoustic event detection. In IEEE WASPAA'11, pages 69-72, 2011.
    • (2011) IEEE WASPAA'11 , pp. 69-72
    • Cotton, C.V.1    Ellis, D.P.W.2
  • 7
    • 80051659405 scopus 로고    scopus 로고
    • Classifying soundtracks with audio texture features
    • D. P. W. Ellis, X. Zeng, and J. H. McDermott. Classifying soundtracks with audio texture features. In IEEE ICASSP, pages 5880-5883, 2011.
    • (2011) IEEE ICASSP , pp. 5880-5883
    • Ellis, D.P.W.1    Zeng, X.2    McDermott, J.H.3
  • 10
    • 84863806337 scopus 로고    scopus 로고
    • Audio context recognition using audio event histograms
    • T. Heittola, A. Mesaros, A. Eronen, and T. Virtanen. Audio context recognition using audio event histograms. In 18th EUSIPCO, pages 1272-1276, 2010.
    • (2010) 18th EUSIPCO , pp. 1272-1276
    • Heittola, T.1    Mesaros, A.2    Eronen, A.3    Virtanen, T.4
  • 15
    • 84908886027 scopus 로고    scopus 로고
    • The sensor city initiative: Cognitive sensors for soundscape transformations
    • D. Steele, J. D. Krijnders, and C. Guastavino. The sensor city initiative: cognitive sensors for soundscape transformations. In GIS Ostrava, pages 1-8, 2013.
    • (2013) GIS Ostrava , pp. 1-8
    • Steele, D.1    Krijnders, J.D.2    Guastavino, C.3
  • 16
    • 44249121489 scopus 로고    scopus 로고
    • Audio keywords generation for sports video analysis
    • M. Xu, C. Xu, L. Duan, J. S. Jin, and S. Luo. Audio keywords generation for sports video analysis. ACM TOMCCAP, 4(2):1-23, 2008.
    • (2008) ACM TOMCCAP , vol.4 , Issue.2 , pp. 1-23
    • Xu, M.1    Xu, C.2    Duan, L.3    Jin, J.S.4    Luo, S.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.