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SpireLab/spire_respin_baselines_espnet
spire_respin_baselines_espnet is a automatic speech recognition model from SpireLab. Use it when you need speech turned into text. It is set up for espnet. The card lists the license as cc-by-4.0.
This repository contains E-Branchformer-based ESPnet2 ASR models trained on the RESPIN-S1.0 small train splits.
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From the Hugging Face model README
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.
cd espnet
pip install -e .
cd egs2/respin_small/asr1
./run.sh --skip_data_prep true --skip_train true --download_model SpireLab/spire_respin_baselines_espnet
| Language | Model Name | CER (%) | WER (%) |
|---|---|---|---|
| bh | exp_small/exp_bh/asr_bh_ebf_size256_mlp1024_lin1024_e8_mactrue_bs6M_gacc1 | 4.4 | 15.2 |
| bn | exp_small/exp_bn/asr_bn_ebf_size256_mlp1024_lin1024_e8_mactrue_bs6M_gacc1 | 4.1 | 15.0 |
| ch | exp_small/exp_ch/asr_ch_ebf_size256_mlp1024_lin1024_e8_mactrue_bs6M_gacc1 | 3.1 | 10.6 |
| hi | exp_small/exp_hi/asr_hi_ebf_size256_mlp1024_lin1024_e8_mactrue_bs6M_gacc1 | 3.1 | 9.9 |
| kn | exp_small/exp_kn/asr_kn_ebf_size256_mlp1024_lin1024_e8_mactrue_bs6M_gacc1 | 4.6 | 24.5 |
| mg | exp_small/exp_mg/asr_mg_ebf_size256_mlp1024_lin1024_e8_mactrue_bs6M_gacc1 | 6.0 | 20.4 |
| mr | exp_small/exp_mr/asr_mr_ebf_size256_mlp1024_lin1024_e8_mactrue_bs6M_gacc1 | 3.1 | 14.5 |
| mt | exp_small/exp_mt/asr_mt_ebf_size256_mlp1024_lin1024_e8_mactrue_bs6M_gacc1 | 5.0 | 17.9 |
| te | exp_small/exp_te/asr_te_ebf_size256_mlp1024_lin1024_e8_mactrue_bs6M_gacc1 | 4.1 | 21.6 |
@inproceedings{watanabe2018espnet,
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},
title={{ESPnet}: End-to-End Speech Processing Toolkit},
year={2018},
booktitle={Proc. Interspeech},
pages={2207--2211},
doi={10.21437/Interspeech.2018-1456},
url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
}