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Characterizing Types of Convolution in Deep Convolutional Recurrent
  Neural Networks for Robust Speech Emotion Recognition

Characterizing Types of Convolution in Deep Convolutional Recurrent Neural Networks for Robust Speech Emotion Recognition

7 June 2017
Che-Wei Huang
Shrikanth. S. Narayanan
    HAI
ArXivPDFHTML

Papers citing "Characterizing Types of Convolution in Deep Convolutional Recurrent Neural Networks for Robust Speech Emotion Recognition"

3 / 3 papers shown
Title
Multi-Microphone Speech Emotion Recognition using the Hierarchical
  Token-semantic Audio Transformer Architecture
Multi-Microphone Speech Emotion Recognition using the Hierarchical Token-semantic Audio Transformer Architecture
Ohad Cohen
G. Hazan
Sharon Gannot
34
1
0
05 Jun 2024
Linking emotions to behaviors through deep transfer learning
Linking emotions to behaviors through deep transfer learning
Haoqi Li
Brian R. Baucom
P. Georgiou
11
19
0
08 Oct 2019
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
296
2,890
0
15 Sep 2016
1