Comments (4)
try add blank false, use_duration_discriminator false.
also, the following configs are not from this repo.
"ms_istft_vits": false,
"mb_istft_vits": true,
"istft_vits": false,
"subbands": 4,
"gen_istft_n_fft": 16,
"gen_istft_hop_size": 4,
If you are using this repo, it will automatically ignore those flags anyway.
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Another way to debug the issue in this model ->
- load the model
- send a mel_spec to model.enc_q and get stats, sample
- send the sampled output to model.dec and generate wav|
If the wav is bad quality or fast, the problem might be there. If the wav is ok, then our issue is in enc_p and duration_predictor.
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@p0p4k
I posted in the wrong repo, but I got important information. Thank you.
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Really nice comment by @w11wo
FENRlR/MB-iSTFT-VITS2#4 (comment)
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Related Issues (20)
- will more ckpts will be add later?
- KeyError when training the Chinese dataset HOT 4
- New feature: Deleting the old .pth files when training HOT 3
- ValueError: too many values to unpack (expected 2) HOT 5
- Checkpoint saves? HOT 1
- about duration-discriminator training objective HOT 8
- DurationDiscriminatorType error HOT 5
- how to know whether the model is fitting HOT 1
- Duration Discriminator problem HOT 18
- Training stuck HOT 18
- Where is L_mse? HOT 11
- colab error HOT 3
- Bad quality audio when infer with custom condition HOT 1
- good, how this combine to the bert-vits2? HOT 2
- Keep training on existed checkpoint HOT 3
- Training doesn´t start when speaker IDs isn´t sequential from 0 HOT 1
- hop size issue HOT 1
- Training using SDP (and with DP by ratio?) HOT 6
- Have anyone tried to decrease the feature channels of the model?
- AlignerNet instead of MAS HOT 17
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