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| title: README | |
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| https://cdn-uploads.huggingface.co/production/uploads/629e1b71bb6419817ed7566c/jeUU2sPSuMRP9IIqVnufk.png | |
| - GenSEC: Text-based Generative Audio & Speech Recognition with Cascaded ASR-LLMs | |
| - Task 1: ASR N-best hypotheses correction | |
| - Task 2: Speaker Tagging from N-best hypotheses | |
| - Task 3: Emotion Recognition from N-best hypotheses | |
| - Open Source Model | |
| - Llama-7b pre-training for ASR correction | |
| - https://huggingface.co/GenSEC-LLM/SLT-Task1-Llama2-7b-HyPo-baseline | |
| - IEEE SLT 2024, References [Paper](https://arxiv.org/abs/2409.09785). See below resources for baseline models and datasets. | |
| ```bib | |
| @inproceedings{yang2024large, | |
| title={Large language model based generative error correction: A challenge and baselines for speech recognition, speaker tagging, and emotion recognition}, | |
| author={Yang, Chao-Han Huck and Park, Taejin and Gong, Yuan and Li, Yuanchao and Chen, Zhehuai and Lin, Yen-Ting and Chen, Chen and Hu, Yuchen and Dhawan, Kunal and {\.Z}elasko, Piotr and others}, | |
| booktitle={2024 IEEE Spoken Language Technology Workshop (SLT)}, | |
| pages={371--378}, | |
| year={2024}, | |
| organization={IEEE} | |
| } | |
| ``` |