ResearchTrend.AI
End-To-End Label Uncertainty Modeling for Speech-based Arousal Recognition Using Bayesian Neural Networks
v1v2v3v4 (latest)

End-To-End Label Uncertainty Modeling for Speech-based Arousal Recognition Using Bayesian Neural Networks

N. Prabhu
Guillaume Carbajal
N. Lehmann-Willenbrock
Timo Gerkmann
ArXiv (abs)PDFHTML

Papers citing "End-To-End Label Uncertainty Modeling for Speech-based Arousal Recognition Using Bayesian Neural Networks"

3 / 3 papers shown
Title
Speech Emotion Recognition using Semantic Information
Speech Emotion Recognition using Semantic Information
Panagiotis Tzirakis
Anh-Tuan Nguyen
Stefanos Zafeiriou
Björn W. Schuller
56
19
0
04 Mar 2021
Defining and Quantifying Conversation Quality in Spontaneous Interactions
Defining and Quantifying Conversation Quality in Spontaneous Interactions
N. Prabhu
Chirag Raman
Hayley Hung
38
17
0
27 Sep 2020
Conditional Neural Processes
Conditional Neural Processes
M. Garnelo
Dan Rosenbaum
Chris J. Maddison
Tiago Ramalho
D. Saxton
Murray Shanahan
Yee Whye Teh
Danilo Jimenez Rezende
S. M. Ali Eslami
UQCVBDL
88
705
0
04 Jul 2018

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.