Brian Hutchinson
PhD Candidate / Graduate Research Assistant
Signal, Speech and Language Interpretation Laboratory
Electrical Engineering Department, University of Washington
Contact:
Office: EEB 215C
Email: MyFirstNameMyLastName@ee.washington.edu
Research:

I am interested in a wide range of problems in speech and language processing, optimization, pattern classification and machine learning. Specific areas that interest me include

  • Optimization, matrix and tensor rank minimization, and in particular low rank sequence models for language processing
  • Automatic speech recognition, model training and adaptation
  • Prosodic feature extraction and structure detection
  • Detecting social phenomena in language (e.g. subgroups)
  • Articulatory feature and trajectory extraction, formant tracking, use of articulatory information in speech recognition, multilingual speech processing at the articulatory and phonetic levels
I am currently working on low rank sequence models for language modeling of resource-poor languages. I am co-advised by Mari Ostendorf and Maryam Fazel.

Internships: I have been fortunate to participate in two very productive internships with the Speech Research Group at Microsoft Research Redmond. In the summer of 2010 I worked with Jasha Droppo on novel models of pronunciation that are able to scale to take advantage of very large amounts of training data. In the summer of 2011 I worked with Li Deng to improve and extend deep learning architectures for speech.
Publications: Journal
  • Brian Hutchinson, Li Deng and Dong Yu. Tensor Deep Stacking Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. (to appear: preprint pdf)

  • Bin Zhang, Alex Marin, Brian Hutchinson and Mari Ostendorf. Learning Phrase Patterns for Text Classification. IEEE Transactions on Audio, Speech and Language Processing. (to appear: preprint link)

  • Brian Hutchinson, Mari Ostendorf and Maryam Fazel. Low Rank Language Models for Small Training Sets. IEEE Signal Processing Letters. Volume 18, issue 9, pages 489-492, 2011.

Invited
  • Brian Hutchinson, Mari Ostendorf and Maryam Fazel. Exceptions in Language as Learned by the Multi-Factor Sparse Plus Low-Rank Language Model. ICASSP 2013. (to appear)

Conference
Teaching:
  • Course Instructor, EE 235 "Continuous Time Linear Systems," Electrical Engineering Department, University of Washington (Win 2012)

  • Seminar Co-Instructor, ENGR 498 B "Preparing for Graduate Education," College of Engineering, University of Washington (Win 2011)

  • Seminar Co-Instructor, ENGR 498 B "Preparing for Graduate Education," College of Engineering, University of Washington (Win 2010)

  • Graduate Teaching Assistant, EE 578 "Convex Optimization," Electrical Engineering Department, University of Washington (Win 2009)

  • Lecturer, Computer Science Department, Western Washington University (Fall 2006 - Spr 2007)

    Courses Taught:
    CSCI 145 Computer Programming and
    Linear Data Structures    		 Win 07 Spr 07
    CSCI 225 Social and Ethical Issues in Computer Science Win 07
    CSCI 241 Data Structures Fall 06 Win 07 Spr 07
    CSCI 311 Logic and Logic Programming Fall 06
    CSCI 417M Natural Language Processing Spr 07

  • Summer Program Instructor, Computer Science Department, Western Washington University (Sum 2006, Sum 2007)

  • Graduate Teaching Assistant, Computer Science Department, Western Washington University (Fall 2005 - Spr 2006)
Degrees: MS, Electrical Engineering, Universiy of Washington, 2009
MS, Computer Science, Western Washington University, 2006
BS, Computer Science, Western Washington University, 2006
BA, Linguistics, Western Washington University, 2005
Honors / Awards: Huckabay Teaching Fellowship, 2009
College of Engineering Boeing Fellowship, 2007
Association for the Advancement of Artificial Intelligence Scholarship, 2006
North American Association for Computational Linguistics Scholarship, 2006
NSF Graduate Research Fellowship Program Honorable Mention, 2006
David W. Cole Scholarship, 2004