---
license: cc-by-4.0
datasets:
- KTH/hungarian-single-speaker-tts
language:
- hu
tags:
- text-to-speech
- audio
---

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. The training took about 1 day for the first checkpoint (Step 93000).
Based on the quality of the preview model, we are aiming for 250K Steps.

We created a Hungarian text cleaner function for this dataset, which can be found in the `text/cleaners.py` file.