Efficient and stable adversarial learning using unpaired data for unsupervised multichannel speech separation

Yu Nakagome*, Masahito Togami, Tetsuji Ogawa, Tetsunori Kobayashi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fingerprint

Dive into the research topics of 'Efficient and stable adversarial learning using unpaired data for unsupervised multichannel speech separation'. Together they form a unique fingerprint.

Mathematics

Engineering & Materials Science

Arts & Humanities

Social Sciences