"Efficient and Stable Adversarial Learning Using Unpaired Data for ..."

Yu Nakagome et al. (2021)

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DOI: 10.21437/INTERSPEECH.2021-523

access: open

type: Conference or Workshop Paper

metadata version: 2023-06-21

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  - conf/interspeech/NakagomeTOK21
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  - https://dblp.org/rec/conf/interspeech/NakagomeTOK21
Yu Nakagome, Masahito Togami, Tetsuji Ogawa, Tetsunori Kobayashi:
Efficient and Stable Adversarial Learning Using Unpaired Data for Unsupervised Multichannel Speech Separation. Interspeech 2021: 3051-3055

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