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Volumn , Issue , 2011, Pages 145-150

An efficient method for the unsupervised discovery of signalling motifs in large audio streams

Author keywords

[No Author keywords available]

Indexed keywords

AUDIO ARCHIVES; AUDIO CONTENT; AUDIO FEATURES; AUDIO STREAM; COMPUTATIONAL ARCHITECTURE; CRITICAL PARTS; EFFECTIVE TOOL; EFFICIENT METHOD; PRIOR KNOWLEDGE;

EID: 80052285054     PISSN: 19493991     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CBMI.2011.5972536     Document Type: Conference Paper
Times cited : (5)

References (5)
  • 1
    • 31344455119 scopus 로고    scopus 로고
    • ARGOS: Automatically extracting repeating objects from multimedia streams
    • C. Herley. ARGOS: Automatically extracting repeating objects from multimedia streams. IEEE Transactions on Multimedia, 8(1):115-129, 2006.
    • (2006) IEEE Transactions on Multimedia , vol.8 , Issue.1 , pp. 115-129
    • Herley, C.1
  • 2
    • 70450214484 scopus 로고    scopus 로고
    • Audio keyword extraction by unsupervised discovery
    • A. Muscariello, G. Gravier, and F. Bimbot. Audio keyword extraction by unsupervised discovery. In Interspeech '09, pages 2843-2846, 2009.
    • (2009) Interspeech '09 , pp. 2843-2846
    • Muscariello, A.1    Gravier, G.2    Bimbot, F.3
  • 3
    • 80052285691 scopus 로고    scopus 로고
    • Fingerprinting to identify repeated sound events in long-duration personal audio recordings
    • J. Ogle and D. Ellis. Fingerprinting to identify repeated sound events in long-duration personal audio recordings. In IEEE ICASSP '07, 2007.
    • IEEE ICASSP '07, 2007
    • Ogle, J.1    Ellis, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.