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---
library_name: transformers
tags:
- DAC
- Audio
license: mit
---
# This repository offers 16khzDAC with 9 codebooks and 8kbps bitrate.
For integration into ParlerTTS, you first need to install the [Parler-TTS library](https://github.com/huggingface/parler-tts) with (to do once):
```sh
pip install git+https://github.com/huggingface/parler-tts.git
```
# Descript Audio Codec (.dac): High-Fidelity Audio Compression with Improved RVQGAN
This repository is a wrapper around the original **Descript Audio Codec** model, a high fidelity general neural audio codec, introduced in the paper titled **High-Fidelity Audio Compression with Improved RVQGAN**.
It is designed to be used as a drop-in replacement of the [transformers implementation](https://huggingface.co/docs/transformers/v4.39.3/en/model_doc/encodec#overview) of [Encodec](https://github.com/facebookresearch/encodec), so that architectures that use Encodec can also be trained with DAC instead.
The [Parler-TTS library](https://github.com/huggingface/parler-tts) is an example of how to use DAC to train high-quality TTS models. |