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Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences (1980)
| Venue: | ACOUSTICS, SPEECH AND SIGNAL PROCESSING, IEEE TRANSACTIONS ON |
| Citations: | 1117 - 2 self |
BibTeX
@ARTICLE{Davis80comparisonof,
author = {Steven B. Davis and Paul Mermelstein},
title = {Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences},
journal = {ACOUSTICS, SPEECH AND SIGNAL PROCESSING, IEEE TRANSACTIONS ON},
year = {1980},
pages = {357--366}
}
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Abstract
Several parametric representations of the acoustic signal were compared as to word recognition performance in a syllable-oriented continuous speech recognition system. The vocabulary in-cluded many phonetically similar monosyllabic words, therefore the emphasis was on ability to retain phonetically significant acoustic information in the face of syntactic and duration variations. For each ~ arameter set (based on a mel-frequency cepstrum, a linear frequency cepstrum, a linear prediction cepstrum, a linear predic-tion spectrum, or a set of reflection coefficients), word templates were generated using an efficient dynamic method, and test data were time registered wi th the templates. A set of ten mel-frequency cepstrum coefficients computed every 6 " 4 ms resulted in the best performance, namely 96.. 5 % and 9500 % recognition with each of two speakers.. The superior performance of the mel-frequency cepstrum coefficients may be attributed to the fact that they better represent the perceptually relevant aspects of the short-term speech spectrum.
Keyphrases
monosyllabic word recognition parametric representation spoken sentence word recognition performance test data acoustic signal relevant aspect reflection coefficient duration variation abstracto several parametric representation linear frequency cepstrum short-term speech spectrum ten mel-frequency cepstrum coefficient word template mel-frequency cepstrum syllable-oriented continuous speech recognition system superior performance efficient dynamic method linear predic-tion spectrum significant acoustic information similar monosyllabic word mel-frequency cepstrum coefficient linear prediction cepstrum
