Harvey F. Silverman

发表

An introduction to programming the Winograd Fourier transform algorithm (WFTA)

Harvey F. Silverman, H. Silverman, 1977 .

A method for programming the complex general-N Winograd Fourier transform algorithm

Harvey F. Silverman, H. Silverman, 1977 .

On a general time-varying model for speech signals

Harvey F. Silverman, Yi-Teh Lee, 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

Armstrong III: A Loosely-Coupled Parallel Processor with Reconfigurable Computing Capabilities

Ricardo Citro, A. Smith, Harvey F. Silverman, 1996 .

Modeling and learning in speech recognition: the relationship between stochastic pattern classifiers and neural networks

Harvey F. Silverman, Leslie Thomas Niles, 1991 .

Distributed hidden Markov model training on loosely-coupled multiprocessor networks

Peter Athanas, Harvey F. Silverman, J. T. Foote, 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Optimized implementation of the 2-D DFT on loosely-coupled parallel systems

Harvey F. Silverman, S. Miller, 1989, International Conference on Acoustics, Speech, and Signal Processing,.

Microphone systems and signal processing: New opportunities in sound capture

Harvey F. Silverman, J. L. Flanagan, 1994 .

A real-time evaluation system for a real-time connected-speech recognizer

Harvey F. Silverman, N. Dixon, S. Miller, 1987, ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing.

A reconfigurable architecture superscalar coprocessor

Harvey F. Silverman, M. Wazlowski, 1996 .

Severe limitations imposed

Harvey F. Silverman, H. Silverman, 1983 .

Implementation of 2-D DFT algorithms on a loosely-coupled parallel system

Harvey F. Silverman, J. T. Rayfield, 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

Hidden Markov model/neural network training techniques for connected alphadigit speech recognition

Harvey F. Silverman, J. T. Foote, M. M. Hochberg, 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

A comparison of several speech-spectra classification methods

N. Dixon, Harvey F. Silverman, N. Dixon, 1976 .

Incremental algorithms and map estimation: efficient hmm learning of speech signals

Yoshihiko Gotoh, Harvey F. Silverman, 1996 .

How limited training data can allow a neural network to outperform an 'optimal' statistical classifier

M. A. Bush, Harvey F. Silverman, G. N. Tajchman, 1989, International Conference on Acoustics, Speech, and Signal Processing,.

Combining hidden Markov model and neural network classifiers

Harvey F. Silverman, L. T. Niles, H. Silverman, 1990, International Conference on Acoustics, Speech, and Signal Processing.

A two-stage algorithm for determining talker location from linear microphone array data

Harvey F. Silverman, Stuart E. Kirtman, H. Silverman, 1992 .

A distributed memory MIMD multi-computer with reconfigurable custom computing capabilities

Harvey F. Silverman, Hyun-Kyu Yun, 1997, Proceedings 1997 International Conference on Parallel and Distributed Systems.

Practical issues in the use of a frequency‐domain delay estimator for microphone‐array applications

Michael S. Brandstein, John Adcock, Harvey F. Silverman, 1994 .

Linear system fundamentals-continuous and discrete, classic and modern

Harvey F. Silverman, H. Silverman, 1984 .

Technical Committee on Digital Signal Processing

Harvey F. Silverman, 1980 .

An improved LPC algorithm for voiced-speech synthesis

Harvey F. Silverman, E. Shichor, 1984 .

Computations and evaluations of an optimal feature-set for an hmm-based recognizer

Harvey F. Silverman, Daniel Johannes Mashao, H. Silverman, 1996 .

An investigation into the efficiency of a parallel TMS320 architecture: DFT and speech filterbank applications

Harvey F. Silverman, D. Morgan, 1985, ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing.

Neural networks, maximum mutual information training, and maximum likelihood training (speech recognition)

Harvey F. Silverman, Marcia A. Bush, Les T. Niles, 1990, International Conference on Acoustics, Speech, and Signal Processing.

An event-synchronous signal processing system for connected-speech recognition

Harvey F. Silverman, D. Morgan, H. Silverman, 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.