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--- |
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library_name: transformers |
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license: apache-2.0 |
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datasets: |
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- facebook/multilingual_librispeech |
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- speechcolab/gigaspeech |
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- mozilla-foundation/common_voice_15_0 |
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- facebook/voxpopuli |
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- MLCommons/peoples_speech |
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language: |
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- en |
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base_model: |
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- mistralai/Mistral-7B-v0.1 |
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pipeline_tag: audio-to-audio |
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--- |
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# Model Card |
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<!-- Provide a quick summary of what the model is/does. --> |
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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. |
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## Paralinguistics-Aware Speech-Empowered LLMs for Natural Conversation [NeurIPS 2024] |
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- **Repository:** https://github.com/naver-ai/usdm |
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- **Paper:** https://openreview.net/forum?id=NjewXJUDYq |
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- **Project Page:** https://unifiedsdm.github.io/ |
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## BibTeX |
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``` |
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@inproceedings{ |
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kim2024paralinguisticsaware, |
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title={Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation}, |
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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}, |
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booktitle={The Thirty-eighth Annual Conference on Neural Information Processing Systems}, |
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year={2024}, |
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url={https://openreview.net/forum?id=NjewXJUDYq} |
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} |
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``` |
