---
_id: '28262'
author:
- first_name: Chenda
full_name: Li, Chenda
last_name: Li
- first_name: Jing
full_name: Shi, Jing
last_name: Shi
- first_name: Wangyou
full_name: Zhang, Wangyou
last_name: Zhang
- first_name: Aswin Shanmugam
full_name: Subramanian, Aswin Shanmugam
last_name: Subramanian
- first_name: Xuankai
full_name: Chang, Xuankai
last_name: Chang
- first_name: Naoyuki
full_name: Kamo, Naoyuki
last_name: Kamo
- first_name: Moto
full_name: Hira, Moto
last_name: Hira
- first_name: Tomoki
full_name: Hayashi, Tomoki
last_name: Hayashi
- first_name: Christoph
full_name: Boeddeker, Christoph
id: '40767'
last_name: Boeddeker
- first_name: Zhuo
full_name: Chen, Zhuo
last_name: Chen
- first_name: Shinji
full_name: Watanabe, Shinji
last_name: Watanabe
citation:
ama: 'Li C, Shi J, Zhang W, et al. ESPnet-SE: End-To-End Speech Enhancement and
Separation Toolkit Designed for ASR Integration. In: 2021 IEEE Spoken Language
Technology Workshop (SLT). ; 2021. doi:10.1109/slt48900.2021.9383615'
apa: 'Li, C., Shi, J., Zhang, W., Subramanian, A. S., Chang, X., Kamo, N., Hira,
M., Hayashi, T., Boeddeker, C., Chen, Z., & Watanabe, S. (2021). ESPnet-SE:
End-To-End Speech Enhancement and Separation Toolkit Designed for ASR Integration.
2021 IEEE Spoken Language Technology Workshop (SLT). https://doi.org/10.1109/slt48900.2021.9383615'
bibtex: '@inproceedings{Li_Shi_Zhang_Subramanian_Chang_Kamo_Hira_Hayashi_Boeddeker_Chen_et
al._2021, title={ESPnet-SE: End-To-End Speech Enhancement and Separation Toolkit
Designed for ASR Integration}, DOI={10.1109/slt48900.2021.9383615},
booktitle={2021 IEEE Spoken Language Technology Workshop (SLT)}, author={Li, Chenda
and Shi, Jing and Zhang, Wangyou and Subramanian, Aswin Shanmugam and Chang, Xuankai
and Kamo, Naoyuki and Hira, Moto and Hayashi, Tomoki and Boeddeker, Christoph
and Chen, Zhuo and et al.}, year={2021} }'
chicago: 'Li, Chenda, Jing Shi, Wangyou Zhang, Aswin Shanmugam Subramanian, Xuankai
Chang, Naoyuki Kamo, Moto Hira, et al. “ESPnet-SE: End-To-End Speech Enhancement
and Separation Toolkit Designed for ASR Integration.” In 2021 IEEE Spoken Language
Technology Workshop (SLT), 2021. https://doi.org/10.1109/slt48900.2021.9383615.'
ieee: 'C. Li et al., “ESPnet-SE: End-To-End Speech Enhancement and Separation
Toolkit Designed for ASR Integration,” 2021, doi: 10.1109/slt48900.2021.9383615.'
mla: 'Li, Chenda, et al. “ESPnet-SE: End-To-End Speech Enhancement and Separation
Toolkit Designed for ASR Integration.” 2021 IEEE Spoken Language Technology
Workshop (SLT), 2021, doi:10.1109/slt48900.2021.9383615.'
short: 'C. Li, J. Shi, W. Zhang, A.S. Subramanian, X. Chang, N. Kamo, M. Hira, T.
Hayashi, C. Boeddeker, Z. Chen, S. Watanabe, in: 2021 IEEE Spoken Language Technology
Workshop (SLT), 2021.'
date_created: 2021-12-03T12:07:35Z
date_updated: 2022-01-13T08:34:25Z
department:
- _id: '54'
doi: 10.1109/slt48900.2021.9383615
language:
- iso: eng
publication: 2021 IEEE Spoken Language Technology Workshop (SLT)
publication_status: published
status: public
title: 'ESPnet-SE: End-To-End Speech Enhancement and Separation Toolkit Designed for
ASR Integration'
type: conference
user_id: '40767'
year: '2021'
...