Learning Salient Segments for Speech Emotion Recognition Using Attentive Temporal Pooling

Learning Salient Segments for Speech Emotion Recognition Using Attentive Temporal Pooling

In the temporal process of expressing the emotions, some intervals embed more salient emotion information than others. In this paper, by introducing an attentive temporal pooling module into the deep neural network (DNN) architecture, we present a simple but effective speech emotion recognition (SER...

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Bibliographic Details
Main Authors: Xiaohan Xia, Dongmei Jiang, Hichem Sahli
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Attentive temporal pooling
deep neural networks
hand-crafted audio features
speech emotion recognition
Online Access:https://ieeexplore.ieee.org/document/9160979/

Internet

https://ieeexplore.ieee.org/document/9160979/

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