Output filter dimension in 2-1-2D CNN layer

[rishitech007]

Hi,
You have used the number of filters as 1 instead of 35 as specified in the original paper. Is there a reason for that or do you believe the architecture specified in the paper is off?

GAN-Voice-Conversion/models/modules.py

Line 299 in 1cfa34d

conv_out = conv2d_layer(inputs=u2, filters=1, kernel_size=[5, 15], strides=[1, 1], activation=None,