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

Details Method, apparatus, and system for building a compact model... Method, apparatus, and system for building a compact model...

2000-09-30

2008-11-18

Dorvil, Richemond (Department: 2626)

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

C704S245000, C704S232000, C704S231000, C704S251000, C704S255000, C704S256100, C704S256200, C704S256400, C704S256700, C704S266000

Reexamination Certificate

active

07454341

ABSTRACT:
According to one aspect of the invention, a method is provided in which a mean vector set and a variance vector set of a set of N Gaussians are divided into multiple mean sub-vector sets and variance sub-vector sets, respectively. Each mean sub-vector set contains a subset of the dimensions of the corresponding mean vector set and each variance sub-vector set contains a subset of the dimensions of the corresponding variance vector set. Each resultant sub-vector set is clustered to build a codebook for the respective sub-vector set using a modified K-means clustering process which dynamically merges and splits clusters based upon the size and average distortion of each cluster during each iteration in the modified K-means clustering process.

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Sankar, A., Experiments with a Gaussian Merging-Splitting Algorithm for HMM Training for Speech Recognition, Mar. 1998.

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