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Volumn , Issue , 2011, Pages 5688-5691

Deep neural networks for acoustic emotion recognition: Raising the benchmarks

Author keywords

Affective Computing; Deep Neural Networks; Emotion Recognition; Generalized Discriminant Analysis

Indexed keywords

ACOUSTIC EMOTION RECOGNITION; ACOUSTIC FEATURES; AFFECTIVE COMPUTING; DEEP NEURAL NETWORKS; DISCRIMINATIVE FEATURES; EMOTION RECOGNITION; EMOTIONAL SPEECH; FAST CLASSIFICATION; FREE PARAMETERS; GENERALIZED DISCRIMINANT ANALYSIS; HIDDEN INFORMATION; HIDDEN LAYERS; LINEAR CLASSIFICATION; WEIGHTED AVERAGES;

EID: 80051631315     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2011.5947651     Document Type: Conference Paper
Times cited : (286)

References (15)
  • 5
    • 85089273681 scopus 로고    scopus 로고
    • Getting started with susas: A speech under simulated and actual stress database
    • J.H.L. Hansen and S. Bou-Ghazale, "Getting started with susas: A speech under simulated and actual stress database," in Proc. EUROSPEECH-97, Rhodes, Greece, 1997, vol. 4, pp. 1743-1746.
    • (1997) Proc. EUROSPEECH-97, Rhodes, Greece , vol.4 , pp. 1743-1746
    • Hansen, J.H.L.1    Bou-Ghazale, S.2
  • 6
    • 33746600649 scopus 로고    scopus 로고
    • Reducing the dimensionality of data with neural networks
    • G. E. Hinton and R. R. Salakhutdinov, "Reducing the dimensionality of data with neural networks," in SCIENCE, vol. 313, pp. 504507, 2006.
    • (2006) Science , vol.313 , pp. 504507
    • Hinton, G.E.1    Salakhutdinov, R.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.