“…Generative adversarial networks (GANs) [ 1 ], along with the rapid development of deep learning in various fields [ 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 ], have attracted worldwide attention in the fields of image generation [ 10 , 11 ], medical image analysis [ 12 ], natural language processing [ 13 ], speech emotion recognition [ 14 , 15 ], and others [ 16 , 17 , 18 , 19 ]. A GAN consists of two networks: a generator and a discriminator.…”