Adaptive training method for pattern recognition

Details Adaptive training method for pattern recognition Adaptive training method for pattern recognition

1995-07-03

1998-08-11

Johns, Andrew W.

Image analysis

Pattern recognition

Classification

382156, 382159, 395211, G06K 962, G06K 974, G10L 302

Patent

active

057938911

ABSTRACT:
Training data is LPC analyzed to obtain a feature parameter vector sequence, which is subjected to Viterbi segmentation using reference phoneme models to separate phonemes. Each piece of phoneme data is used to estimate a mean vector of the corresponding reference phoneme model by a maximum a posteriori estimation method. The adapted phoneme model and the corresponding reference phoneme model are used to estimate a mean vector for an unadapted phoneme model through interpolation by a vector field smoothing method. Alternatively, the mean vector of the adapted phoneme model is further smoothed by the vector field smoothing method. By this, an adapted model is obtained which has, as its parameters, the mean vector obtained for each phoneme and other corresponding parameters.

REFERENCES:
patent: 4741036 (1988-04-01), Bahl et al.
patent: 5129001 (1992-07-01), Bahl et al.
patent: 5129002 (1992-07-01), Tsuboka
patent: 5497447 (1996-03-01), Bahl et al.
patent: 5544257 (1996-08-01), Bellegarda et al.

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