Harvey F. Silverman, Allan E. Pearson
IEEE Transactions on Audio and Electroacoustics
An important consideration in speech processing involves classification of speech spectra. Several methods for performing this classification are discussed. A number of these were selected for comparative evaluation. Two measures of performance-accuracy and stability-were derived through the use of an automatic performance evaluation system. Over 3000 hand-labeled spectra were used. Of those evaluated, a linearly mean-corrected minimum distance measure, on a 40-point spectral representation with a square (or cube) norm was consistently superior to the other methods. Copyright © 1976 by The Institute of Electrical and Electronics Engineers, Inc.
Harvey F. Silverman, Allan E. Pearson
IEEE Transactions on Audio and Electroacoustics
David D. Grossman, Harvey F. Silverman
Journal of the ACM
Toyohisa Kaneko, N. Rex Dixon
IEEE Transactions on Acoustics, Speech, and Signal Processing
Carclyn A. Vickroy, Harvey F. Silverman, et al.
ICASSP 1982