Title:
METHOD OF COMPRESSING PLURALITY OF PROBABILITY DENSITY FUNCTION KERNELS OF PROBABILITY MODEL, AND COMPUTER PROGRAM THEREFOR
Document Type and Number:
Japanese Patent JP2006126398
Kind Code:
A
Abstract:
To enable effective compression of a probability model, while maintaining performance.
A method of compressing an HMM model includes the steps of clustering the means of the probability density function (pdf) kernels 20, 22, 24, 26, 28 and 30 of the HMM model into first centroid kernels 40 and 42; clustering the variances of the pdf kernels 20, 22, 24, 26, 28 and 30 into second centroid kernels 50 and 52; and redefining each of the pdf kernels 20, 22, 24, 26, 28 and 30 by means of one of the first centroid kernels 40 and 42 that is nearest the original mean of pdf kernels, and by dispersion of one of the second centroid kernels 50 and 52 that is nearest the original pdf kernel.
Inventors:
FRANK SOONG
RI SHIYOUHEI
NAKAMURA SATORU
RI SHIYOUHEI
NAKAMURA SATORU
Application Number:
JP2004313470A
Publication Date:
May 18, 2006
Filing Date:
October 28, 2004
Export Citation:
Assignee:
ATR ADVANCED TELECOMM RES INST
International Classes:
G10L15/14; G10L15/06
Attorney, Agent or Firm:
Satoshi Shimizu