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IEEE SIGNAL PROCESSING MAGAZINE
Special Issue on Spoken Language Technology

The evolution of speech and language technologies over the past decade has spawned an exciting new research area known as Spoken Language Technology (SLT). Technological advances in SLT promise to provide ubiquitous and personalized access to information, communication, and entertainment services. For example, advances in natural language understanding and large vocabulary continuous speech recognition have resulted in a new generation of automated contact center services that offer callers the flexibility to speak their request naturally using their own words as opposed to the words dictated to them by the machine. Advances in machine translation technology
have resulted in speech-to-speech translation products that offer
multi-party multi-lingual communication. Advances in information search and data mining are providing the means to extract intelligence information from large corpora of speech data (e.g., TV programs, call center data) to help improve business operation and search for information rapidly without having to listen to conversations.

This special issue on Spoken Language Technology is motivated by the first SLT workshop, Aruba, December 2006, jointly sponsored by IEEE and ACL (www.slt2006.org). The goal is to solicit tutorial articles with
comprehensive surveys of important theories, algorithms, tools, and
applications of SLT on existing and new commercial, academic and government applications. Prospective authors should submit a white paper summarizing the motivation, the significance of the topic, brief history, and an outline of the content. Authors with accepted proposals will be invited to write a full manuscript.

Scope of topics:
Publications in the following areas are strongly encouraged

Spoken language understanding
Dialog management
Spoken language generation
Spoken document retrieval
Information extraction from speech
Question answering from speech
Spoken document summarization
Machine translation of spoken language
Speech data mining and search
Voice-based human computer interfaces
Spoken dialog systems, applications and standards
Multimodal processing, systems and standards
Machine learning for spoken language processing
Speech and language processing in the world wide web

Submission Procedure:
Prospective authors should submit their white papers to the web submission
system at http://www.ee.columbia.edu/spm according to the following
timetable. The white papers should be three pages maximum

White paper due: June 1, 2007
Invitation notification: July 1, 2007
Manuscript due: October 1, 2007
Acceptance Notification: December 1, 2007
Final Manuscript due: January 15, 2008
Publication date: May, 2008

Guest Editors:

Mazin Gilbert
AT&T Labs - Research
180 Park Avenue
Florham Park, NJ, 07932
mazin@research.att.com

Kevin Knight
University of Southern California
4676 Admiralty Way
Marina del Rey, CA 90292
knight@ISI.EDU

Steve Young
Cambridge University
Trumpington Street
Cambridge, CB2 1PZ
sjy@eng.cam.ac.uk