no code implementations • 4 Nov 2022 • Yusuke Shinohara, Shinji Watanabe
In this paper, we propose a new training method to explicitly model and reduce the latency of sequence transducer models.
no code implementations • 14 Jan 2022 • Florian Boyer, Yusuke Shinohara, Takaaki Ishii, Hirofumi Inaguma, Shinji Watanabe
In this study, we present recent developments of models trained with the RNN-T loss in ESPnet.
no code implementations • EMNLP 2018 • Ryo Masumura, Yusuke Shinohara, Ryuichiro Higashinaka, Yushi Aono
This is achieved by introducing both language-specific networks shared among different tasks and task-specific networks shared among different languages.