End-to-end label uncertainty modeling for speech emotion recognition using Bayesian neural networks.
Navin Raj PrabhuGuillaume CarbajalNale Lehmann-WillenbrockTimo GerkmannPublished in: CoRR (2021)
Keyphrases
- end to end
- neural network
- emotion recognition
- admission control
- wireless ad hoc networks
- ad hoc networks
- multipath
- text to speech synthesis
- content delivery
- high bandwidth
- internet protocol
- decision theory
- audio visual
- application layer
- neural network model
- multi hop
- network architecture
- rate allocation
- scalable video
- transport layer
- speech recognition