Humangan: Generative Adversarial Network With Human-Based Discriminator And Its Evaluation In Speech Perception Modeling

We propose the HumanGAN, a generative adversarial network (GAN) incorporating human perception as a discriminator. A basic GAN trains a generator to represent a real-data distribution by fooling the discriminator that distinguishes real and generated data
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