Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition
Reexamination Certificate
2011-06-28
2011-06-28
Dorvil, Richemond (Department: 2626)
Data processing: speech signal processing, linguistics, language
Speech signal processing
Recognition
C704S240000, C704S255000
Reexamination Certificate
active
07970613
ABSTRACT:
Use of runtime memory may be reduced in a data processing algorithm that uses one or more probability distribution functions. Each probability distribution function may be characterized by one or more uncompressed mean values and one or more variance values. The uncompressed mean and variance values may be represented by α-bit floating point numbers, where α is an integer greater than 1. The probability distribution functions are converted to compressed probability functions having compressed mean and/or variance values represented as β-bit integers, where β is less than α, whereby the compressed mean and/or variance values occupy less memory space than the uncompressed mean and/or variance values. Portions of the data processing algorithm can be performed with the compressed mean and variance values.
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Adesanya Olujimi A.
Dorvil Richemond
Isenberg Joshua D.
JDI Patent
Sony Computer Entertainment Inc.
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