@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={Proceedings of Interspeech},
pages={2207--2211},
doi={10.21437/Interspeech.2018-1456},
url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
}
or arXiv:
@misc{watanabe2018espnet,
title={ESPnet: End-to-End Speech Processing Toolkit},
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},
year={2018},
eprint={1804.00015},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
Runs of espnet arecho_base_v0 on huggingface.co
21
Total runs
0
24-hour runs
11
3-day runs
10
7-day runs
17
30-day runs
More Information About arecho_base_v0 huggingface.co Model
arecho_base_v0 huggingface.co is an AI model on huggingface.co that provides arecho_base_v0's model effect (), which can be used instantly with this espnet arecho_base_v0 model. huggingface.co supports a free trial of the arecho_base_v0 model, and also provides paid use of the arecho_base_v0. Support call arecho_base_v0 model through api, including Node.js, Python, http.
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espnet arecho_base_v0 online free url in huggingface.co:
arecho_base_v0 is an open source model from GitHub that offers a free installation service, and any user can find arecho_base_v0 on GitHub to install. At the same time, huggingface.co provides the effect of arecho_base_v0 install, users can directly use arecho_base_v0 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.