Special Session on

Spoken Dialog Technology R&D

 

The industry and market of spoken dialog systems are reaching a never-seen-before maturity. Today there are thousands of deployed voice-enabled systems interacting with millions of users. Small, medium, and large companies are specializing in the various aspects of the industry, such as core technology, platforms, tools, applications, professional services, and hosting. Academic research, which has been traditionally the innovative force behind speech technology, needs to keep its pace of long term ambitious goals in order to help the industry reach higher levels of technological advancements. In this spirit, we would like to foster the communication between longer term research and industrial development in the field of spoken language human-machine communication. This session has been created with the aim of bringing R&D experts from small and large companies to present issues and results to a broader research community.

 

This session is dedicated to papers on technological and research issues on the design, development, and deployment of commercial spoken dialog systems. Examples of topics in the spoken dialog field are (but not limited to)

 

-         Commercial spoken dialog systems for telephony and embedded environments

-         Voice user interface (VUI) design

-         Industry best practices

-         Authoring of advanced dialog systems

-         Tuning of dialog systems

-         Automatic performance reporting

-         Testing and QA

-         Industrial standards

-         Usability studies

-         Development and optimization of context free grammars

-         Statistical language understanding

-         Dialog system architecture

-         Application development process

-         Log analysis and dialog data mining

-         Human-Machine dialog corpora of real users

 

 

Technical Committee

 

Roberto Pieraccini, Tell-Eureka Corporation, roberto@telleureka.com

Juan Huerta, IBM T.J.Watson Research Center, huerta@us.ibm.com

Giuseppe Di Fabbrizio, AT&T Labs Research, pino@research.att.com