Method, apparatus and system for building a compact language...

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

Reexamination Certificate

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Reexamination Certificate

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07418386

ABSTRACT:
According to one aspect of the invention, a method is provided in which a set of probabilistic attributes in an N-gram language model is classified into a plurality of classes. Each resultant class is clustered into a plurality of segments to build a code-book for the respective class using a modified K-means clustering process which dynamically adjusts the size and centroid of each segment during each iteration in the modified K-means clustering process. A probabilistic attribute in each class is then represented by the centroid of the corresponding segment to which the respective probabilistic attribute belongs.

REFERENCES:
patent: 5640487 (1997-06-01), Lau et al.
patent: 6003003 (1999-12-01), Asghar et al.
patent: 6076053 (2000-06-01), Juang et al.
patent: 6256607 (2001-07-01), Digalakis et al.
patent: 6415248 (2002-07-01), Bangalore et al.
patent: 7020338 (2006-03-01), Cumbee
patent: 1237259 (1999-12-01), None
patent: 0869478 (1998-10-01), None
PCT International Search Report, PCT/CN/00541, Apr. 3, 2001.

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