draft-vandyke-mscml-06

Abstract not found

Interacting with machines that listen, understand and react to human stimuli has been for many years the holy grail of scientists across disciplines. In the last three decades scientists have made great contributions to the training, design and testing of conversational systems. In this paper we present the fundamentals of Spoken Dialog Systems (SDS) from

A Mixer Control Package for the Media Control Channel Framework This document defines a Media Control Channel Framework Package for managing mixers for media conferences and connections. The package defines request elements for managing conference mixers, managing mixers between conferences and/or connections, as well as associated responses and notifications. The package also defines elements for auditing package capabilities and mixers. Status of This Memo This is an Internet Standards Track document. This document is a product of the Internet Engineering Task Force (IETF). It represents the consensus of the IETF community. It has received public review and has been approved for publication by the

Taxonomies of dialog state are important, both scientifically and practically, but today’s best build strongly on tradition. This paper presents a new way to discover the important dimensions of dialog state, more bottomup and empirical than previous approaches. Specifically, we applied Principal Component Analysis to a large number of low-level prosodic features to find the most important dimensions of variation. The top 20 out of 76 dimensions accounted for 81 % of the variance, and each of these dimensions clearly related to dialog states and activities, including turn taking, topic structure, grounding, empathy, cognitive processes, confidence, engagement, and rhetorical structure. 1