This repository contains E-Branchformer-based ESPnet2 ASR models trained on the RESPIN-S1.0 small train splits.
Follow the
ESPnet installation instructions if you haven't done that already.
1cd espnet
2pip install -e .
3cd egs2/respin_small/asr1
4./run.sh --skip_data_prep true --skip_train true --download_model SpireLab/spire_respin_baselines_espnet
1@inproceedings{watanabe2018espnet,
2 author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson Yalta and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai},
3 title={{ESPnet}: End-to-End Speech Processing Toolkit},
4 year={2018},
5 booktitle={Proc. Interspeech},
6 pages={2207--2211},
7 doi={10.21437/Interspeech.2018-1456},
8 url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
9}
10