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Found 3 papers, 1 papers with code
Focal Loss based Residual Convolutional Neural Network for Speech Emotion Recognition
This paper proposes a Residual Convolutional Neural Network (ResNet) based on speech features and trained under Focal Loss to recognize emotion in speech.
Deep Learning based Emotion Recognition System Using Speech Features and Transcriptions
This paper proposes a speech emotion recognition method based on speech features and speech transcriptions (text).
Learning Discriminative features using Center Loss and Reconstruction as Regularizer for Speech Emotion Recognition
This paper proposes a Convolutional Neural Network (CNN) inspired by Multitask Learning (MTL) and based on speech features trained under the joint supervision of softmax loss and center loss, a powerful metric learning strategy, for the recognition of emotion in speech.
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