Method and apparatus for pattern recognition employing the Hidde

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395 3, G10L 506, G10L 900

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active

056384890

ABSTRACT:
A method and apparatus for estimating parameters of a new hidden Markov model (HMM) applicable to pattern recognition such as recognition of speech signals which are time series signals, and a method and apparatus for pattern recognition employing this HMM are provided. It is easily applicable to speech and other time series signals. In particular, the pattern recognition degree of a time series observation vector signaly, received from an information source, is calculated by using function values u(y,1), u(y,2), . . . , u(y,M) and occurrence probabilities of signals C.sub.1, C.sub.2, . . . , C.sub.M which are composed of set C, where u(y,m) is the image into which the pair (C.sub.m,Y) is mapped, u(y,m).di-elect cons.U(U=[a,b], a,b.di-elect cons.R.sup.1 and 0.ltoreq.a.ltoreq.b) and y.di-elect cons.R.sup.n (R.sup.n : n-dimensional Euclidean space). C is a set of signals against which the observation vector signal y is compared.

REFERENCES:
patent: 4829577 (1989-05-01), Kuroda et al.
patent: 5050215 (1991-09-01), Nishimura
patent: 5058166 (1991-10-01), Ney et al.
patent: 5129002 (1992-07-01), Tsuboka

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