--- _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' ...