Structure for grammar and dictionary representation in voice...

Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition

Reexamination Certificate

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C704S257000, C704S009000

Reexamination Certificate

active

07921011

ABSTRACT:
Methods for optimizing grammar structure for a set of phrases to be used in speech recognition during a computing event are provided. One method includes receiving a set of phrases, the set of phrases being relevant for the computing event and the set of phrases having a node and link structure. Also included is identifying redundant nodes by examining the node and link structures of each of the set of phrases so as to generate a single node for the redundant nodes. The method further includes examining the node and link structures to identify nodes that are capable of being vertically grouped and grouping the identified nodes to define vertical word groups. The method continues with fusing nodes of the set of phrases that are not vertically grouped into fused word groups. Wherein the vertical word groups and the fused word groups are linked to define an optimized grammar structure. In another aspect, a layered grammar and dictionary library that can be defined for efficient use in speech recognition systems, is provided.

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patent: 0 854 468 (1998-07-01), None
Siu et al., “Variable N-Grams and Extensions for Conversational Speech Language Modeling”, IEEE vol. 8, No. 1, Jan. 2000, XP011053989, Service Center, New York, NY, ISSN: 1063-6676, p. 63-75.

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