Adversarial Auto-Encoders for Speech Based Emotion Recognition

conference of the international speech communication association, 2017.

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Abstract:

Recently, generative adversarial networks and adversarial autoencoders have gained a lot of attention in machine learning community due to their exceptional performance in tasks such as digit classification and face recognition. They map the autoencoderu0027s bottleneck layer output (termed as code vectors) to different noise Probability ...More

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