---
license: cc-by-nc-4.0
---

# UTDUSS vocodder model
In this repo, we provide model weight of the [descript audio codec](https://arxiv.org/abs/2306.06546) used for the [Interspeech2024 Speech Processing Using Discrete Speech Unit Challenge](https://www.wavlab.org/activities/2024/Interspeech2024-Discrete-Speech-Unit-Challenge/)
# Prerequesties

[official dac library](https://github.com/descriptinc/descript-audio-codec) which can be installed with the following command.
```bash
pip install descript-audio-codec
```

# Provided weights

## Vocoder task
| model name on paper | model name on this repo |
|---|---|
|😀 | expresso_16k_2code.pth|
|😀 w/o hyper-parameter tuning| expresso_16k_2code_official.pth|
|😀 w/o data exclusion| expresso_16k_2code_wo_data.pth|
|😀 w/o matching sampling rate| expresso_24k_2code_ab.pth|

## Acoustic +Vocoder (TTS) task
Please note that the weight for acoustic model is not provided.

| model name on paper | model name on this repo |
|---|---|
|😀 | expresso_16k_2code.pth|
|😀 w/o hyper-parameter tuning| expresso_16k_2code_official.pth|
|😀 w/o data exclusion| expresso_16k_2code_wo_data.pth|
|😀 w/o matching sampling rate| expresso_24k_2code_ab.pth|

# Sample code

```python
import dac
import torch
from pathlib import Path
model_url = "https://huggingface.co/sarulab-speech/UTDUSS-Vocoder/resolve/main/expresso_16k_2code.pth"
model_path = Path(f"/tmp/utduss/{model_url.split('/')[-1]}")
model_path.parent.mkdir(parents=True,exist_ok=True)
torch.hub.download_url_to_file(model_url,model_path)
model = dac.DAC.load(model_path)
```

# Contributors
* [Wataru Nakata](https://wataru-nakata.github.io/)
* [Kazuki Yamauchi]()
* [Dong Yang]()
* [Hiroaki Hyodo]()
* [Yuki Saito](https://sython.org)