Auditory-Inspired End-to-End Speech Emotion Recognition Using 3D Convolutional Recurrent Neural Networks Based on Spectral-Temporal Representation.
Zhichao PengZhi ZhuMasashi UnokiJianwu DangMasato AkagiPublished in: ICME (2018)
Keyphrases
- transport layer
- end to end
- recurrent neural networks
- neural network
- feed forward
- reservoir computing
- admission control
- cascade correlation
- emotion recognition
- recurrent networks
- speech recognition
- echo state networks
- congestion control
- high bandwidth
- artificial neural networks
- internet protocol
- ad hoc networks
- content delivery
- text to speech synthesis
- scalable video
- wireless ad hoc networks
- neural model
- facial expressions
- multipath
- artificial intelligence
- machine learning