| # MT-LLM | |
| ><em> in International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025 | |
| <br> Authors: Lingwei Meng, Shujie Hu, Jiawen Kang, Yuejiao Wang, Wenxuan Wu, Xixin Wu, Xunying Liu, Helen Meng</em> | |
| This repository contains the trained MT-LLM model for instruction-based multi-talker overlapped speech recognition. | |
| Please check https://github.com/cuhealthybrains/MT-LLM | |
| If you find our work is useful in your research, please cite the following paper: | |
| ```bibtex | |
| @inproceedings{meng2025mtllm, | |
| title={Large Language Model Can Transcribe Speech in Multi-Talker Scenarios with Versatile Instructions}, | |
| author={Meng, Lingwei and Hu, Shujie and Kang, Jiawen and Li, Zhaoqing and Wang, Yuejiao and Wu, Wenxuan and Wu, Xixin and Liu, Xunying and Meng, Helen}, | |
| booktitle={ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, | |
| year={2025} | |
| } | |
| ``` | |
| --- | |
| license: mit | |
| --- | |