VAIBHAVA GOEL
Center for Language and Speech Processing
Johns Hopkins University
320 Barton Hall, 3400 N. Charles Street
Baltimore, MD 21218
Email: vgoel@jhu.edu, vgoel@bme.jhu.edu
Cell Phone: (410) 905-1877
Lab Phone: (410) 516-5458,5409
Lab Fax: (410) 516-5050
Home phone: (410) 420-1352
RESEARCH INTERESTS
Automatic Speech Recognition; Statistical Modeling and Learning;
Classification and Decision Theory; Information Theory and Statistics;
EDUCATION
Ph.D., July 2000 (expected), Biomedical Engineering, Johns Hopkins University
Dissertation: Minimum Bayes-risk automatic speech recognition.
Advisors: Dr. William J. Byrne and Dr. Frederick Jelinek.
GPA: 4.0/4.0
M.S.E., May 1995, Biomedical Engineering, Johns Hopkins University
Thesis: A novel technique for EEG signal processing.
Advisor: Dr. Nitish V. Thakor.
GPA: 3.95/4.0
B.Tech., May 1993, Electrical Engineering, Indian Institute of Technology,
Kanpur, India
Thesis: Automated strain analysis using techniques of image processing.
Advisor: Dr. S. K. Mullick.
GPA: 10.0/10.0
WORK EXPERIENCE
The Bell Laboratories, Lucent Technologies, Murray Hill, NJ
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Summer Intern, May 1997 - Jul 1997
Project: Maximum likelihood lexical modeling.
Supervisor: Dr. Frank K. Soong
Summer Intern, Jun 1996 - Aug 1996
Project: Single pass real time A-star decoder implementation.
Supervisor: Dr. Frank K. Soong
Indian Telephone Industries, Naini, India
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Summer Engineer, May 1992 - Jul 1992
Project: Optimization of production and inventory control of MARR
systems.
TEACHING & RESEARCH
Center for Language and Speech Processing, Johns Hopkins University
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Research Assistant, Jan 1996 - Present
Design of task specific speech recognizers under the minimum Bayes-risk (MBR)
classification framework. Formulated a novel prefix-tree based multi-stack
A-star algorithm to implement the MBR decoders. Shown that these decoders
yield significant error rate reduction on tasks such as minimum word error rate
transcription, keyword spotting, named entity detection, and gene identification
from genomic DNA. Developed the idea of segmental MBR decoding in which a
complex MBR decoder is approximated by a sequence of simple MBR decoders.
Demonstrated that the well known voting techniques of ROVER and voting on
lattices are instances of segmental MBR decoding, and developed their
extensions.
Researcher, Jul 1997 - Aug 1997
Workshop on Innovative Techniques for LVCSR; Syllable based speech
recognition.
Teaching Assistant, Feb 1997 - May 1997 & Feb 1996 - May 1996
Neuroengineering : A course on application of engineering ideas for
diagnosis and treatment of neuropathologies.
Biomedical Instrumentation Laboratory, Johns Hopkins University
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Research Assistant, Sep 1993 - Aug 1995
LPC analysis and neuronal correlates of anomalies in electroencephalograms.
Involved applied signal processing, instrumentation, and neuronal simulations and
modeling.
Teaching Assistant, Feb 1995 - May 1995 & Sep 1994 - Dec 1994
Biomedical Instrumentation : A course on instrumentation for medical
applications.
HONORS & AWARDS
Abel Wolman Fellowship, Johns Hopkins University (95-96).
Tuition fellowship, Johns Hopkins University (93-95).
Best outgoing undergraduate student in electrical engineering
at Indian Institute of Technology Kanpur (IITK), 1993.
Proficiency award for best project work in electrical engineering, IITK, 1993.
The Tata Consultancy Services award for best software project at IITK, 1993.
Student member IEEE, ISCA.
PUBLICATIONS
Journal Articles:
- Goel V. and Byrne W.J., ``Minimum Bayes-risk automatic speech recognition,''
Computer Speech and Language, Vol. 14(2), pp. 115--135, 2000.
- Goel V., Brambrink A.M., Baykal A., and Thakor N.V., ``Dominant
frequency analysis reveals brain's response to injury and recovery,''
IEEE Transactions on Biomedical Engineering, Vol. 43(11), pp. 1083--1092,
1996.
Selected Conference and Workshop Papers:
- Goel V. and Byrne W.J., ``Applications of Minimum Bayes-Risk Decoding to LVCSR,''
LVCSR Workshop, May 16-19, UMCP, College Park, MD, 2000.
- Goel V. and Byrne W.J., ``Task dependent loss functions in speech recognition:
A-star search over recognition lattices,'' Eurospeech-99, pp. 1243--1246,
Budapest, Hungary, 1999.
- Goel V. and Byrne W.J., ``Task dependent loss functions in speech recognition:
Application to named entity extraction,'' ESCA ETRW Workshop on Accessing
Information from Spoken Audio, pp. 49--53, Cambridge, UK, 1999.
- Goel V., Byrne W.J., and Khudanpur S., ``LVCSR rescoring with modified loss
functions: A decision theoretic perspective,'' ICASSP-98, May 9-12, 1998.
- Ganapathiraju A., Goel V., Picone J., et.al., ``Syllable - A promising
recognition unit for LVCSR,'' 1997 IEEE Workshop on Automatic Speech
Recognition and Understanding, Dec 14-17, 1997.
- Corrada A., Doddington G., Ganapathiraju A., Goel V., et.al., ``The syllable
team,'' HUB-5 Conversational Speech Recognition Workshop, Nov 4-6, 1997.
- Goel V. and Thakor N.V., ``A model of excitotoxic injury to the hippocampal
neurons,'' Neural Modeling of Cognitive and Brain Disorders, Jun 8-10, 1995.
- Kong X., Goel V., and Thakor N.V., ``Quantification of injury-related EEG signal
changes using Itakura distance measure,'' ICASSP-95, May 9-12, 1995.
- Goel V., Brambrink A.M., Baykal A., and Thakor N.V., ``Autoregressive modeling
of EEG reveals brain's response to injury,'' IEEE/EMBS Annual International
Conference, Nov 3-6, 1994.
- Goel V., Brambrink A.M., Baykal A., and Thakor N.V., ``Detection of
hypoxic-asphyxic insult and recovery using autoregressive modeling of EEG
signals,'' American EEG Society Annual Meeting, Sep 19-20, 1994.
COMPUTER SKILLS
Programming Languages: C, C++, VisualBasic, Pascal.
Scripting Languages: Perl, Awk.
Toolkits: Matlab, HTK, AT&T FSM Tools.
Operatring Systems: Unix, Windows98, WindowsNT.
VISA STATUS
Indian citizen, at present on F-1 (student visa).
REFERENCES
Available upon request.
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