메뉴 건너뛰기




Volumn 4, Issue , 2007, Pages 2364-2367

Automatic laughter detection using neural networks

Author keywords

Laughter recognition; Neural networks; Speech in meetings

Indexed keywords

EFFICIENT METHODS; EQUAL ERROR RATES; HIGH PRECISIONS; HIGHER RESOLUTIONS; LAUGHTER RECOGNITION; SPEAKER RECOGNITIONS;

EID: 56149116040     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (25)

References (12)
  • 1
    • 56149117487 scopus 로고    scopus 로고
    • Truong, K.P. and Van Leeuwen, D.A., Automatic detection of laughter, In Proceedings of Interspeech, Lisbon, Portugal, 2005.
    • Truong, K.P. and Van Leeuwen, D.A., "Automatic detection of laughter", In Proceedings of Interspeech, Lisbon, Portugal, 2005.
  • 3
    • 33846031505 scopus 로고    scopus 로고
    • Automatic acoustic laughter detection
    • Masters Thesis, Keele University
    • Carter, A., "Automatic acoustic laughter detection", Masters Thesis, Keele University, 2000.
    • (2000)
    • Carter, A.1
  • 5
    • 85120315825 scopus 로고
    • Acoustic analysis of laughter
    • Banff, Canada
    • Bickley, C, Hannicutt, S., "Acoustic analysis of laughter", In Proc. 1CSLP, pp. 927-930, Banff, Canada, 1992.
    • (1992) Proc. 1CSLP , pp. 927-930
    • Bickley, C.1    Hannicutt, S.2
  • 8
    • 56149106444 scopus 로고    scopus 로고
    • Trouvain, J., Segmenting phonetic units in laughter, In Proc lCPhS, Barcelona, 2003.
    • Trouvain, J., "Segmenting phonetic units in laughter", In Proc lCPhS, Barcelona, 2003.
  • 12
    • 56149111597 scopus 로고    scopus 로고
    • QuickNet: http://www.icsi.berkeley.edu/Speech/qn.html.
    • QuickNet


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.