VAIBHAVA GOELCenter for Language and Speech Processing

Johns Hopkins University

*** ****** ****, **** *. Charles Street

Baltimore, MD 21218

Email: abqb37@r.postjobfree.com, abqb37@r.postjobfree.com

Cell Phone: 410-***-****

Lab Phone: 410-***-****,5409

Lab Fax: 410-***-****

Home phone: 410-***-****

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

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

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

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

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.

Contact this candidate