Speech recognition problems are a reality in current spoken dialogue systems. In order to better understand these phenomena, we study dependencies between speech recognition probl...
This paper presents a brief overview of the bidirectional (Japanese and English) TransferDriven Machine Translation system, currently being developed at ATR. The aim of this devel...
Although speech recognition systems have become more reliable in recent years, they are still highly error-prone. Other components of a spoken language dialogue system must then b...
This paper describes a statistically motivated framework for performing real-time dialogue state updates and policy learning in a spoken dialogue system. The framework is based on...
This paper addresses a spoken dialogue framework that helps users make decisions. Various decision criteria are involved when we select an alternative from a given set of alternati...
Teruhisa Misu, Chiori Hori, Kiyonori Ohtake, Hidek...