A comparison of several speech-spectra classification methods
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...
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Published in | IEEE transactions on acoustics, speech, and signal processing Vol. 24; no. 4; pp. 289 - 295 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
IEEE
01.08.1976
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Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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ISSN: | 0096-3518 |
DOI: | 10.1109/TASSP.1976.1162814 |