---
library_name: transformers
license: apache-2.0
datasets:
- facebook/multilingual_librispeech
- speechcolab/gigaspeech
- mozilla-foundation/common_voice_15_0
- facebook/voxpopuli
- MLCommons/peoples_speech
language:
- en
base_model:
- mistralai/Mistral-7B-v0.1
pipeline_tag: audio-to-audio
---

# Model Card

<!-- Provide a quick summary of what the model is/does. -->
Unified Speech-Text Model (USTM), a speech-text cross-modal pretrained model obtained by further training Mistral-7B-v0.1 using a proposed unified speech-text pretraining methodology.

## Paralinguistics-Aware Speech-Empowered LLMs for Natural Conversation [NeurIPS 2024]

- **Repository:** https://github.com/naver-ai/usdm
- **Paper:** https://openreview.net/forum?id=NjewXJUDYq
- **Project Page:** https://unifiedsdm.github.io/


## BibTeX

```
@inproceedings{
  kim2024paralinguisticsaware,
  title={Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation},
  author={Heeseung Kim and Soonshin Seo and Kyeongseok Jeong and Ohsung Kwon and Soyoon Kim and Jungwhan Kim and Jaehong Lee and Eunwoo Song and Myungwoo Oh and Jung-Woo Ha and Sungroh Yoon and Kang Min Yoo},
  booktitle={The Thirty-eighth Annual Conference on Neural Information Processing Systems},
  year={2024},
  url={https://openreview.net/forum?id=NjewXJUDYq}
}
```