questions about the datasets. about gst-tacotron HOT 3 OPEN

Hi, I plotted character lengths of each line in transcription into histogram and got this plot.
So I decided to discard sentences whose character length > 300.

from gst-tacotron.

Thanks for your reply! I still have other questions. How many hours of BZ dataset you used for training? I found it is hard to converge well when training about 100 hours dataset. The alignment is usually a fuzzy slash.

This image shows alignment for 140k steps, batch_size=24, num_gpu=4.
Do you have some ideas or advice for me?
Could you share your tfevents file for your pretrained model?
Thank you!

from gst-tacotron.

I used only the segmented part of Blizzard-2013 dataset which contains 9742 files with about 20 hrs. So I'm not sure what will happen if switching to the bigger one.
In my experience, the attention plot will some how "suddenly" learn to align well at 40K steps (batch_size=32). Maybe the maximum length of your training pairs is set too long?

from gst-tacotron.