Implications of Deep Learning for Dialog Modeling

A special session at Sigdial 2019

Although deep learning has transformed many speech technologies, the impact on dialog has so far been more modest. This special session will explore opportunities and challenges for dialog research in the deep learning era.

Topics of Interest

Submissions

Organizers

Yun-Nung (Vivian) Chen, National Taiwan University

Gabriel Skantze, KTH, Stockholm

Tatsuya Kawahara, Kyoto University

Nigel G. Ward, University of Texas at El Paso