On Enhancing Speech Emotion Recognition using Generative Adversarial Networks

Interspeech, pp. 3693-3697, 2018.

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Abstract:

Generative Adversarial Networks (GANs) have gained a lot of attention from machine learning community due to their ability to learn and mimic an input data distribution. GANs consist of a discriminator and a generator working in tandem playing a min-max game to learn a target underlying data distribution; when fed with data-points sampled...More

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