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I used Tacotron2 trained at 45k iterations (using teacher-forcing and window method) to extract durations for my dataset. I ran FastSpeech2 training without mixed precision. I turned off mixed precisi…
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Hello dear community.
Thanks to the great support by @nmstoker i try to run compute_embeddings.py (master branch) on a ljspeech dataset in a venv environment:
> python3 ./compute_embeddings.py _…
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Hi, @Tomiinek . It's a nice job, and it's an honor to see this project.
I have some questions about train.txt; hope you can solve my puzzle.
1. How to get the original train.txt file?
Git clone t…
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### I followed the commands as per README, but still, I'm facing some issues. maybe (i don't have any graphics card in my systems, and I have installed all dependencies as per documents.) Please find …
3rang updated
3 years ago
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Help me too. I found the problem when using this command.
`set CUDA_VISIBLE_DEVICES=0 & python examples/tacotron2/train_tacotron2.py --train-dir ./dump_ljspeech/train/ --dev-dir ./dump_ljspeech/val…
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I'm currently trying to train a voice using Tacotron2, basically following the Tacotron2 example. I'm using the LJSpeech pre-trained model as a base model and am using additional data (150 English sen…
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I am seeing this error:
`Argument #4: Padding size should be less than the corresponding input dimension, but got: padding (512, 512) at dimension 3 of input [1, 1, 1, 220]`
after trying to tra…
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Hello!
I have trained a model using the Tactotron2 example.
After a while I stopped and got a model at a checkpoint.
Now I would like to use this model to generate some speech from text.
Im awar…
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The README.md links to English Voice Samples which claim to use and English DDC model however it is not identifiable in list models;
```
tts --list_models
Name format: type/language/dataset/mode…
Dmole updated
3 years ago
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Hi, I have a dataset with 16 kHz and 22 kHz, I did the preparation with `ljspeech_preparation.yaml` config with 22KHz, it works fine. But when I try to do the same dataset with a different sample rat…