Mari Ostendorf
Mari Ostendorf
B.S., 1980, Electrical Engineering, Stanford University
M.S., 1981, Electrical Engineering, Stanford University
Ph.D., 1985, Electrical Engineering, Stanford University
Prof. Ostendorf, an alumna of the Stanford
Signal Compression and Classification Group, joined the University of Washington in
September 1999. Previously, she was in the Speech Signal Processing
Group at BBN Laboratories (1985-1986), and at Boston University on the
faculty of the Electrical and Computer Engineering Department
(1987-1999). You can find links to theses from her graduate students
of that period here. In 1995, she
was a visiting researcher at the ATR Interpreting Telecommunications
Laboratory in Japan, and in 2005-2006, she is a Visiting Professor at the
University of Karlsruhe. She teaches undergraduate courses in circuits
and signals and systems, and graduate courses on various topics
related to statistical signal processing. Prof. Ostendorf is a fellow
of IEEE and a member
of SWE, ASA and Sigma Xi. She has served on numerous technical
and advisory committees.
Contact information
My CV
Course information:
- EE235 Continuous Time Linear Systems (Fall 07)
- EE299 The Digital World of Multimedia (Winter 08)
- EE511 Introduction to Statistical Learning (Spring 08)
- EE517 Statistical Language Processing (Spring 07)
For sample student work in EE299 and EE341, click here.
Research
Prof. Ostendorf's research interests include data
compression and statistical pattern recognition, particularly in
speech processing applications. Her recent work includes
segment-based acoustic modeling for spontaneous speech recognition,
dynamic pronunciation modeling dependence modeling for adaptation, use
of out-of-domain data and discourse structure in language modeling,
and stochastic models of prosody for both recognition and
synthesis. She has published over 170 papers on various problems in
speech and language processing. She works in the Signal,
Speech and Language Interpretation Laboratory, where both
undergraduate and graduate students are involved in a variety of research
projects related to these problems.
Back to the SSLI Lab Home Page.