---
license: apache-2.0
language:
- en
tags:
- ai
- rvc
- vc
- voice-cloning
- applio
- titan
- pretrained
---
# TITAN: A Robust Pretrained Model for Retrieval-Based Voice Conversion Training

## Overview
TITAN is a state-of-the-art pretrained model designed for retrieval-based voice conversion training. It offers a robust solution for transforming voice characteristics from one speaker to another, providing high-quality results with minimal training effort.

## Model Details
### Titan-Medium
- Training Environment: Utilized a RTX 3060 TI on Applio v3.1.1 (https://github.com/IAHispano/Applio), employing a batch size of 8 over a span of 3 weeks.
- Iterations: X Steps
- Epochs: X
- Sampling rate: 40k
- Fine-tuning Process: RVC pretrained with pitch guidance, leveraging an 11.15-hour dataset sourced from Expresso (https://arxiv.org/abs/2308.05725).

### Titan-Large
- Details forthcoming...


## Citation
Should you find TITAN beneficial for your research endeavors or projects, we kindly request citing our repository:

```
@article{titan,
  title={TITAN: A Robust Pretrained Model for Retrieval-Based Voice Conversion Training},
  author={Blaise},
  journal={Hugging Face},
  year={2024},
  publisher={Blaise},
  url={https://huggingface.co/blaise-tk/TITAN/}
}
```