
This vits model was trained on the [KTH/hungarian-single-speaker-tts](https://huggingface.co/datasets/KTH/hungarian-single-speaker-tts) dataset.

## CSS10 Hungarian: Single Speaker Speech Dataset
The corpus consists of a single speaker, with 4515 segments extracted from [this](https://librivox.org/egri-csillagok-by-geza-gardonyi/) single LibriVox audiobook. It consists about 10 hours of audio data.

## Training
The model was trained on a single RTX 3090 GPU for 3 days, 200K steps with a batchsize of 16. 
We saved some checkpoints with the optimizers, so the model could be train further, however we didn't find any noticable effect after step 150K.

## Usage
The model `diana_final.pth` can be used with [JayWalnut's git repo](https://github.com/jaywalnut310/vits), but you have to modify the `text/cleaners.py` file to contain our `hungarian_cleaners` method.
We provided the necessary files in our repo to do so.
{"language": ["hu"], "license": "cc-by-4.0", "tags": ["text-to-speech", "audio"], "datasets": ["KTH/hungarian-single-speaker-tts"], "inference": false}
transformers text-to-speech audio hu dataset:KTH/hungarian-single-speaker-tts license:cc-by-4.0 region:us
TAGS
#transformers #text-to-speech #audio #hu #dataset-KTH/hungarian-single-speaker-tts #license-cc-by-4.0 #region-us 


This vits model was trained on the KTH/hungarian-single-speaker-tts dataset.

## CSS10 Hungarian: Single Speaker Speech Dataset
The corpus consists of a single speaker, with 4515 segments extracted from this single LibriVox audiobook. It consists about 10 hours of audio data.

## Training
The model was trained on a single RTX 3090 GPU for 3 days, 200K steps with a batchsize of 16. 
We saved some checkpoints with the optimizers, so the model could be train further, however we didn't find any noticable effect after step 150K.

## Usage
The model 'diana_final.pth' can be used with JayWalnut's git repo, but you have to modify the 'text/URL' file to contain our 'hungarian_cleaners' method.
We provided the necessary files in our repo to do so.
## CSS10 Hungarian: Single Speaker Speech Dataset
The corpus consists of a single speaker, with 4515 segments extracted from this single LibriVox audiobook. It consists about 10 hours of audio data. ## Training
The model was trained on a single RTX 3090 GPU for 3 days, 200K steps with a batchsize of 16. 
We saved some checkpoints with the optimizers, so the model could be train further, however we didn't find any noticable effect after step 150K. ## Usage
The model 'diana_final.pth' can be used with JayWalnut's git repo, but you have to modify the 'text/URL' file to contain our 'hungarian_cleaners' method.
We provided the necessary files in our repo to do so.
TAGS
#transformers #text-to-speech #audio #hu #dataset-KTH/hungarian-single-speaker-tts #license-cc-by-4.0 #region-us 
 ## CSS10 Hungarian: Single Speaker Speech Dataset
The corpus consists of a single speaker, with 4515 segments extracted from this single LibriVox audiobook. It consists about 10 hours of audio data. ## Training
The model was trained on a single RTX 3090 GPU for 3 days, 200K steps with a batchsize of 16. 
We saved some checkpoints with the optimizers, so the model could be train further, however we didn't find any noticable effect after step 150K. ## Usage
The model 'diana_final.pth' can be used with JayWalnut's git repo, but you have to modify the 'text/URL' file to contain our 'hungarian_cleaners' method.
We provided the necessary files in our repo to do so.