Harvey Silverman
Professor:
Engineering
Phone: +1 401 863 1431
Phone 2: +1 401 863 3918
hfs@lems.brown.edu
Professor Silverman's research focuses on algorithms for the building and use of real-time digital signal processing/speech processing based systems. Work is underway on the integration of algorithms with hardware and software, in particular, for microphone-array systems, speech recognition systems, and reconfigurable parallel processors.
Interests
Research focuses on algorithms for the building and use of real-time digital signal processing/speech processing based systems. Work is underway on the integration of algorithms with hardware and software, in particular, for microphone-array systems, speech recognition systems, and reconfigurable parallel processors. Most recent work has focused on micrfophone-array research. A microphone-array system that supports real-time processing and data acquisition for 512 microphones has been in operation for seven years. It is still in use for algorithm research and data acquisition. In past work, speech recognition was a major focus. Also, Professor Silverman's group introduced important new concets on the use of FPGA's in developing reconfigurable computing. The current emphasis on microphone-array systems has resulted in three patents and license agreements with three industrial organizations. Prior to joining the Brown faculty in 1980, Professor Silverman held a position at IBM at the Thomas J. Watson Research Center from 1970 to 1980, working in the areas of digital image processing, computer performance analysis, and speech recognition. Dr. Silverman has been the Director of the Laboratory for Engineering Man/Machine Systems in the Division of Engineering at Brown since its founding in 1981. He was a member of the IEEE Acoustics, Speech and Signal Processing Technical Committee on Digital Signal Processing and was its Chairman from 1979 until 1983. He was the General Chairman of the 1977 ICASSP in Hartford. He received an IEEE Centennial Medal in 1984. Professor Silverman was a Trustee of Trinity College in Hartford, CT, 1994-2003, and was named a Fellow of IEEE in December 1996. He served as Dean of Engineering at Brown from 1991 until 1998. Professor Silverman's research group has averaged 5 Ph.D. students, and 23 Ph.D.'s have been awarded over 1988-2005.
Awards
Appointed member of Trinity Trustees Executive Committee 2001
Citation as an ``Outstanding Engineering Alumnus'', Trinity College
100th Anniversary of Engineering, 1997
Elected Institute of Electrical and Electronics Engineers (IEEE) Fellow, December 1996
Elected Charter Trustee of Trinity College, Hartford, CT (1994-2003)
Elected as a Tau Beta Pi member as an educator 1994
Nominated for 1994 Computerworld Smithsonian Award
Institute of Electrical and Electronics Engineers (IEEE) Centennial Medal Award - 1984
Institute of Electrical and Electronics Engineers (IEEE) ASSP Society Meritorious Service Award - 1981
IBM First Level Patent Award - 1976
IBM Outstanding Contribution Award for the MAP Acoustic Processor for
continuous speech recognition - 1976
IBM Research Division Award for developmental work on Winograd
Fourier Transform Algorithms - 1975
IBM Research Division Award for Sequential
Similarity Detection Algorithms -1973
Affiliations
Institute of Electrical and Electronics Engineers (IEEE) (Fellow Grade Member)
Tau beta Pi
Sigma Xi
Teaching
ENGN 2530 - Digital Signal Processing (http://www.engin.brown.edu/courses/en253/)
An introduction to the basics of linear, shift invariant systems and signals. Quantization and sampling issues are introduced. Discrete time and DFT properties, fast DFT algorithms, and spectral analysis are discussed. IIR and FIR digital filter design is a focus; stochastic and deterministic signals are introduced. MATLAB exercises are a significant part of the course.
1.000 Credit hours
1.000 Lecture hours
Levels: Graduate, Undergraduate
ENGN 2540 - Speech Processing
The basics for speech production and hearing are introduced. PDEs and simplified vocal-tract models are derived. LPC, DFT filterbank and time varying signal processing for speech recognition analysis are discussed in mathematical detail. Dynamic programming, vector quantization, hidden Markov modeling, and neural-network pattern recognition for speech are introduced. Offered every other year.
1.000 Credit hours
1.000 Lecture hours
Levels: Graduate, Undergraduate
ENGN 0520 - Electrical Circuits and Signals
An introduction to electrical circuits and signals. Emphasizes the analysis and design of systems described by ordinary linear differential equations. The frequency domain is introduced, including the effects of sampling and windowing in computer simulations. Other topics include transient analysis, Fourier series, and Laplace transform. Laboratories apply concepts to real problems in audio and controls. Lectures, recitation, and laboratory. Prerequisite: APMA 0330.
0.000 OR 1.000 Credit hours
0.000 OR 1.000 Lecture hours
Levels: Extra Credit Graduate, Undergraduate
Web Links
Curriculum Vitae
