Using Adversarial Training to Recognize Speakers’ Emotions

The combination of an autoencoder, which is trained to output the same data it takes as input, and adversarial training, which pits two neural networks against each other, confers modest performance gains but opens the door to extensive training with unannotated data. ...

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