Computational tools and spoken corpora design: an ongoing dialogue

Incremental Spoken Dialogue Systems: Tools and Data

Strict-turn taking models of dialogue do not accurately model human incremental processing, where users can process partial input and plan partial utterances in parallel. We discuss the current state of the art in incremental systems and propose tools and data required for further advances in the field of Incremental Spoken Dialogue Systems. 1 Incremental Spoken Dialogue Systems For Spoken Dial...

Enhanced monitoring tools and online dialogue optimisation merged into a new spoken dialogue system design experience

This paper shows how the convergence between design and monitoring tools, and the integration of a dedicated reinforcement learning can be complementary and offer a new design experience for Spoken Dialogue System (SDS) developers. Most industrial SDS developers use a graphical tool to implement the dialogue strategies. This article proposes first to integrate dialogue logs into this design too...

Mining Spoken Dialogue Corpora for System Evaluation and Modelin

We are interested in the problem of modeling and evaluating spoken language systems in the context of human-machine dialogs. Spoken dialog corpora allow for a multidimensional analysis of speech recognition and language understanding models of dialog systems. Therefore language models can be directly trained based either on the dialog history or its equivalence class (or cluster). In this paper...

Creating spoken dialogue characters from corpora without annotations

Virtual humans are being used in a number of applications, including simulation-based training, multi-player games, and museum kiosks. Natural language dialogue capabilities are an essential part of their human-like persona. These dialogue systems have a goal of being believable and generally have to operate within the bounds of their restricted domains. Most dialogue systems operate on a dialo...

Spoken Dialogue Systems Technology and Design