Robust Semisupervised Generative Adversarial Networks for Speech Emotion Recognition via Distribution Smoothness

Robust Semisupervised Generative Adversarial Networks for Speech Emotion Recognition via Distribution Smoothness

Despite the recent great achievements in speech emotion recognition (SER) with the development of deep learning, the performance of SER systems depends strongly on the amount of labeled data available for training. Obtaining sufficient annotated data, however, is often extremely time consuming and c...

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Bibliographic Details
Main Authors: Huan Zhao, Yufeng Xiao, Zixing Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Semisupervised learning
generative adversarial network
adversarial training
speech emotion recognition
Online Access:https://ieeexplore.ieee.org/document/9110873/

Internet

https://ieeexplore.ieee.org/document/9110873/

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