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poor synthesis

hello @zceng, thanks for your contribution in LVCNet.
I follow your default experiment's setting about training LJSpeech. Including sampling rate = 22050, batch_size = 8 and so on. But I have a poor synthesis although training reached checkpoint-180000.

real:
image
generate:
image
wavs zip:
0100_wavs.zip

Is it because not enough training? or other reasons?
Looking forward to your reply.
Thanks.

assert in_length == (kernel_length*hop_size), "length of (x, kernel) is not matched" AssertionError: length of (x, kernel) is not matched

wavs: 16k hop_size=200
when i set:
generator_params:
in_channels: 1 # Number of input channels.
out_channels: 1 # Number of output channels.
inner_channels: 8
cond_channels: 80
cond_hop_length: 200 #256
lvc_block_nums: 3
lvc_layers_each_block: 10
lvc_kernel_size: 3
kpnet_hidden_channels: 64
kpnet_conv_size: 1
dropout: 0.0
use_weight_norm: true # Whether to use weight norm.

When my data is 16k, hop_size=200, how should the parameters be set? thank you

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