Journal of Quality Engineering Society
Online ISSN : 2189-9320
Print ISSN : 2189-633X
ISSN-L : 2189-633X
Discussions on Voice Pattern Recognition Systems
Genichi Taguchi
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1995 Volume 3 Issue 5 Pages 3-7

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Abstract

How to recognize the syllable from its voice spoken by people is discussed here. Two methods as a new system are proposed. One method is to use the frequency distribution with a damping factor as a data base for Mahalanobis space. The other is to use differential and integrated data. A parameter design is also discussed using S/N ratio for the second method.

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© 1995 Robust Quality Engineering Society
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