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IEEE Transactions on Acoustics, Speech, and Signal Processing
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A Comparison of Several Speech-Spectra Classification Methods

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Abstract

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.

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IEEE Transactions on Acoustics, Speech, and Signal Processing

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