Signal Processing - November 2016 - 59

award-winning project for drowsiness detecDM, natural language generation, and TTS
To ensure driving safety
synthesis. In addition to challenges in
and intelligent interaction, tor product. He organized and served as the
general cochair of the Biennial Workshop
development of other spoken dialog sysit is necessary to
for Digital Signal Processing for In-Vehicle
tems, a key aspect with in-vehicle dialog
provide an effective
Systems and Safety in 2015.
systems is that the interaction is often carand user-friendly
Elizabeth E. Shriberg (elizabeth.
ried out while a driver is operating a vehishriberg@sri.com)
is a principal scientist
cle as a secondary task. To ensure driving
interaction between
at
SRI
International.
She is also affiliatsafety and intelligent interaction, it is
the driver and vehicle.
ed with Johns Hopkins University, the
necessary to provide an effective and
University of Maryland, and the Interuser-friendly interaction between the drivnational Computer Science Institute, and she was recently
er and vehicle. The development of such a system requires
at Microsoft Research. Her government and commercial
the support of both the automotive and high-tech industries.
work models spoken communication with focus areas in
As sensors have become more reliable and accurate, the
emotion, cognition, health, prosody, fluency, dialog, and
incorporation of multimodal interaction beyond audio itself
speaker modeling, in which she holds multiple patents.
allows the dialog system to detect additional nonverbal comShe has authored more than 250 research publications and
munications such as the intention and emotion of drivers. This
serves on the International Speech Communication
information is advantageous for the dialog system to manage
Association (ISCA) Advisory Council and on journal,
its interaction toward accomplishing its task based on the state
conference, and review boards for the speech science and
or status of the driver, vehicle, and environment. Design of the
speech technology communities. She is a fellow of SRI
intelligent in-vehicle dialog system also exploits such informaand ISCA.
tion for modeling behavior and usage patterns of a driver to
Larry Heck (larry.heck@ieee.org) received his B.S.E.E.
adapt itself toward more effective interaction with an individdegree from Texas Tech in 1986 and his M.S.E.E. and Ph.D.
ual driver.
degrees from the Georgia Institute of Technolgy in 1989 and
In the context of autonomous driving and the IoT, we
1991, respectively. He worked at SRI (1992-1998) in the
expect to see more integration of speech-enabled technology
Speech Technology and Research Laboratory. He was with
with general IPAs fully connected with in-vehicle systems. We
Nuance (1998-2005) as vice president of research and develbelieve that in-vehicle dialog system technology will remain
opment, where he led natural language processing, automatic
on demand with much more enriched features in the future for
speech recognition, voice authentication, and text-to-speech
both the current human-centric driving paradigm and autonosynthesis. At Yahoo! (2005-2009), he was the vice president
mous driving paradigm.
of search and advertising sciences. While at Microsoft (2009-
2014), he cofounded the Cortana personal assistant as chief
Acknowledgment
scientist of speech. He is currently a research director for diaWe would like to thank Dr. Liberty Lidz for her support on
log at Google. He is a Fellow of the IEEE and holds more
the preparation of the manuscript.
than 50 U.S. patents.
Stanley Peters (peters@csli.stanford.edu) is emeritus
Authors
professor
of Linguistics and Symbolic Systems at Stanford
Fuliang Weng (Fuliang.weng@us.bosch.com) received his
University, where he chaired the Department of Linguistics
B.S. degree from Fudan University, Shanghai, China, in
(1996-2002) and directed the Center for the Study of
1984. He was in a joint M.S. and Ph.D. program of Fudan
Language and Information (1987-1990 and 2008-2013). He
University from 1984 to 1989, and completed all requirepreviously taught at the University of Texas at Austin (1966-
ments but his Ph.D thesis. In addition, Fuliang received an
1983). His research interests are mathematical properties of
M.S. degree from New Mexico State University, Las
grammar, logical semantics of natural languages, artificially
Cruces, in 1993. He is the general manager of Bosch
intelligent tutoring systems, human-robot interaction, comLanguage Services. Previously, he served as chief expert
putational modeling of conversation, and spoken dialog sysand director of user technologies at Bosch Corporate
tems. He has authored three books and more than 120 papers
Research. He has more than 70 research publications and 60
and holds five patents. He is a fellow of the Linguistic
issued or pending patents and has received multiple national
Society of America.
and industrial awards.
John H.L . Hansen (john.hansen@utdallas.edu)
Pongtep Angkititrakul (pongtep.angkititrakul@us.bosch.com)
received his B.S.E.E. degree from Rutgers University, New
received his B.Eng. degree from Chulalongkorn University,
Jersey, in 1982 and his M.S. and Ph.D. degrees in electrical
Thailand, and his M.S. and Ph.D. degrees in electrical engineerengineering from the Georgia Institute of Technology in
ing from the University of Colorado at Boulder. Currently, he is
1983 and 1988, respectively. He serves as associate dean
a lead engineer at Robert Bosch LLC. Previously, he was a visitfor research at the University of Texas-Dallas, where he
ing researcher at Toyota Central R&D, Japan, where he contribfounded the Center for Robust Speech Systems. He has
uted to algorithm development for advanced driver assistance
been an associate editor for numerous IEEE publications
system and driver monitoring technology, as well as the Toyota
IEEE SIgnal ProcESSIng MagazInE

November 2016

Table of Contents for the Digital Edition of Signal Processing - November 2016