ESPnet-SE: End-To-End Speech Enhancement and Separation Toolkit Designed for ASR Integration

Chenda Li, Jing Shi 0003, Wangyou Zhang, Aswin Shanmugam Subramanian, Xuankai Chang, Naoyuki Kamo, Moto Hira, Tomoki Hayashi, Christoph Böddeker, Zhuo Chen 0006, Shinji Watanabe 0001. ESPnet-SE: End-To-End Speech Enhancement and Separation Toolkit Designed for ASR Integration. In IEEE Spoken Language Technology Workshop, SLT 2021, Shenzhen, China, January 19-22, 2021. pages 785-792, IEEE, 2021. [doi]

Abstract

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