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Volumn , Issue , 2013, Pages 3657-3661

Extracting spoken and acoustic concepts for multimedia event detection

Author keywords

acoustic event recognition; lattice N gram counts; Multimedia event detection; segmentation; speech recognition

Indexed keywords

ACOUSTIC EVENTS; AUDIO SEGMENTATION; AUTOMATIC SPEECH RECOGNITION; CONCEPT RECOGNITION; LATTICE N-GRAM COUNTS; MULTIMEDIA EVENT DETECTIONS; SCORE-LEVEL FUSION; SVM-BASED CLASSIFIERS;

EID: 84890454299     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2013.6638340     Document Type: Conference Paper
Times cited : (9)

References (17)
  • 10
    • 84870415507 scopus 로고    scopus 로고
    • Supervised acoustic concept extraction for multimedia event detection
    • S. Pancoast, M. Akbacak, and M. Sanchez, "Supervised acoustic concept extraction for multimedia event detection," in ACM Multimedia Workshop, 2012.
    • (2012) ACM Multimedia Workshop
    • Pancoast, S.1    Akbacak, M.2    Sanchez, M.3
  • 13
    • 84865780238 scopus 로고    scopus 로고
    • Effective Arabic dialect classification using diverse phonotactic models
    • M. Akbacak, D. Vergyri, A. Stolcke, and Scheffer N., "Effective Arabic dialect classification using diverse phonotactic models," in Interspeech, 2011.
    • (2011) Interspeech
    • Akbacak, M.1    Vergyri, D.2    Stolcke, A.3    Scheffer, N.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.