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End-to-End Label Uncertainty Modeling in Speech Emotion Recognition
  using Bayesian Neural Networks and Label Distribution Learning

End-to-End Label Uncertainty Modeling in Speech Emotion Recognition using Bayesian Neural Networks and Label Distribution Learning

30 September 2022
N. Prabhu
N. Lehmann-Willenbrock
Timo Gerkmann
    UQCV
ArXivPDFHTML

Papers citing "End-to-End Label Uncertainty Modeling in Speech Emotion Recognition using Bayesian Neural Networks and Label Distribution Learning"

5 / 5 papers shown
Title
Dynamics of Collective Group Affect: Group-level Annotations and the
  Multimodal Modeling of Convergence and Divergence
Dynamics of Collective Group Affect: Group-level Annotations and the Multimodal Modeling of Convergence and Divergence
N. Prabhu
Maria Tsfasman
Catharine Oertel
Timo Gerkmann
N. Lehmann-Willenbrock
30
1
0
13 Sep 2024
Knowledge-based Emotion Recognition using Large Language Models
Knowledge-based Emotion Recognition using Large Language Models
Bin Han
Cleo Yau
Su Lei
Jonathan Gratch
CVBM
28
2
0
07 Aug 2024
Conformal Depression Prediction
Conformal Depression Prediction
Yonghong Li
Shan Qu
Xiuzhuang Zhou
26
2
0
29 May 2024
End-to-End Continuous Speech Emotion Recognition in Real-life Customer
  Service Call Center Conversations
End-to-End Continuous Speech Emotion Recognition in Real-life Customer Service Call Center Conversations
Yajing Feng
Laurence Devillers
11
5
0
02 Oct 2023
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1