Comments (1)
Hi,
that's great!
The collapse is a know issue of the autoregressive model. I'm not sure about cover field, are you using convolutions or dense layers after the attention mechanism? In theory attention does not have receptive field as it matches every entry to every entry.
The autoregressive model should only be used to extract the phoneme durations for the training (and validation) samples in order to train the forward model. Basically it the "aligner"
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Related Issues (20)
- Training in 3090 takes ~30 seconds per step HOT 2
- ERROR: while preparing training data HOT 1
- inference error HOT 1
- how can i save the audio file if i am using thee pretrained model in google colab
- Word timestamps
- layer.py TransposedCNNResNorm
- Get rid of the "robotic" sound HOT 4
- model.hdf5 file does not create
- No module named 'decorator'
- How to install on windows?
- the missing of HiFiGAN model.pt HOT 2
- Pause between sentence
- model.pt
- Alignments in PyTorch implementation
- Can't Finish PHONEMIZING On Google Colab. HOT 2
- Error : raise StopIteration StopIteration
- error to run a train_aligner.py
- how Normalized dataset
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