Corrections in spoken dialogue systems

Characterizing and Predicting Corrections in Spoken Dialogue Systems

This article focuses on the analysis and prediction of corrections, defined as turns where a user tries to correct a prior error made by a spoken dialogue system. We describe our labeling procedure of various corrections types and statistical analyses of their features in a corpus collected from a train information spoken dialogue system. We then present results of machinelearning experiments d...

Influence of different dialogue situations on user²s behavior in spoken corrections

This study analyzes the acoustic-prosodic features observed in spoken corrections in a task-oriented spoken dialogue. While previous studies have been found that spoken corrections are often predicted as hyperarticulate speech and related to some acousticprosodic events, their close analysis were not shown in terms of various dialogue situations in practical spoken dialogue systems and tasks. I...

Detecting Misrecognitions and Corrections in Spoken Dialogue Systems from ‘Aware’ Sites

We explore the extent to which misrecognitions and corrections in spoken dialogue systems can be predicted from information about other turn categories in the preceding or following context. Features including whether or not subsequent turns represent ‘aware’ sites, in which users first become aware that the system has misheard them, or corrections, and whether or not prior turns represent ‘awa...

Labeling Corrections and Aware Sites in Spoken Dialogue Systems

This paper deals with user corrections and aware sites of system errors in the TOOT spoken dialogue system. We rst describe our corpus, and give details on our procedure to label corrections and aware sites. Then, we show that corrections and aware sites exhibit some prosodic and other properties which set them apart from `normal' utterances. It appears that some correction types, such as simpl...

Identifying User Corrections Automatically in Spoken Dialogue Systems