Search Results for author: Kentaro Shinayama

Found 1 papers, 0 papers with code

Downstream Task Agnostic Speech Enhancement with Self-Supervised Representation Loss

no code implementations24 May 2023 Hiroshi Sato, Ryo Masumura, Tsubasa Ochiai, Marc Delcroix, Takafumi Moriya, Takanori Ashihara, Kentaro Shinayama, Saki Mizuno, Mana Ihori, Tomohiro Tanaka, Nobukatsu Hojo

In this work, we propose a new SE training criterion that minimizes the distance between clean and enhanced signals in the feature representation of the SSL model to alleviate the mismatch.

Self-Supervised Learning Speech Enhancement

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