메뉴 건너뛰기




Volumn 3, Issue , 2012, Pages 2227-2230

Using i-vector space model for emotion recognition

Author keywords

Emotion recognition; I vector

Indexed keywords

EMOTION CLASSIFICATION; EMOTION RECOGNITION; EMOTION RECOGNITION FROM SPEECH; FEATURE VECTORS; I VECTORS; LANGUAGE IDENTIFICATION; STATIC FEATURES; SYSTEM COMBINATION;

EID: 84878539402     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (56)

References (18)
  • 3
    • 79960846940 scopus 로고    scopus 로고
    • Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge
    • B. Schuller, A. Batliner, S. Steidl, and D. Seppi, "Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge," Speech Communication, 2011.
    • (2011) Speech Communication
    • Schuller, B.1    Batliner, A.2    Steidl, S.3    Seppi, D.4
  • 10
    • 79960848738 scopus 로고    scopus 로고
    • Application of speaker-and language identification state-of-the-art techniques for emotion recognition
    • M. Kockmann, L. Burget, and J. Honza'Cernocky, "Application of speaker-and language identification state-of-the-art techniques for emotion recognition," Speech Communication, 2011.
    • (2011) Speech Communication
    • Kockmann, M.1    Burget, L.2    Honza'cernocky, J.3
  • 11
    • 84864616142 scopus 로고    scopus 로고
    • Speaker states recognition using latent factor analysis based eigenchannel factor vector modeling
    • M. Li, A. Metallinou, D. Bone, and S. Narayanan, "Speaker states recognition using latent factor analysis based eigenchannel factor vector modeling," in Proc. of ICASSP, 2012.
    • (2012) Proc. of ICASSP
    • Li, M.1    Metallinou, A.2    Bone, D.3    Narayanan, S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.