Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition
Reexamination Certificate
2006-02-28
2006-02-28
Ometz, David L. (Department: 2655)
Data processing: speech signal processing, linguistics, language
Speech signal processing
Recognition
C704S243000, C704S254000, C704S246000, C381S121000, C381S083000, C340S146200, C382S181000
Reexamination Certificate
active
07006970
ABSTRACT:
Disclosed is a method for obtaining a precise detected value of a similarity between voices or the like. Standard and input pattern matrices, each having a voice feature amount as a component, are prepared (S1and S2). A reference shape having a variance different for each specified component of the pattern matrices is prepared, and positive and negative reference pattern vectors, each having a value of the reference shape as a component, are prepared. Then, while the specified component (a center of the reference shape) being made to move to each component position j1=1 to m1, j2=1 to m2of the standard pattern matrix, a shape change between the standard and input pattern matrices is substituted for shape changes of the positive and negative reference pattern vectors. And, an amount of change in kurtosis of each reference pattern vector is numerically evaluated to obtain a shape change amount Dj1j2(S3). Then, a value of a geometric distance between the pattern matrices is calculated from Dj1j2(S4).
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Jinnai Michihiro
Yamaguchi Hiroshi
Birch Stewart Kolasch & Birch, LLP.
Entropy Software Laboratory, Inc.
Jackson Jakieda
Ometz David L.
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