Voice analyzing system using hidden Markov model and having plur

Details Voice analyzing system using hidden Markov model and having plur Voice analyzing system using hidden Markov model and having plur

1990-12-12

1994-04-26

MacDonald, Allen R.

Electrical audio signal processing systems and devices

Hearing aids, electrical

Specified casing or housing

395 265, 395 23, 381 43, G10L 500, G10L 708

Patent

active

053074440

ABSTRACT:
An analyzing system analyzes object signals, particularly voice signals, by estimating a generation likelihood of an observation vector sequence being a time series of feature vectors with use of a Markov model having a plurality of states and given transition probabilities from state to state. A state designation section determines a state i at a time t stochastically using the Markov model. Plural predictors, each of which is composed of a neural network and is provided per each state of the Markov model, are provided for generating a predictional vector of the feature vector x.sub.t in the state i at the time t based on values of the feature vectors other than the feature vector x.sub.t. A first calculation section calculates an error vector of the predictional vector to the feature vector x.sub.T. A second calculation section calculates a generation likelihood of the error vector using a predetermined probability distribution of the error vector according to which the error vector is generated.

REFERENCES:
patent: 4783804 (1988-11-01), Juang et al.
patent: 4885757 (1989-12-01), Provence
patent: 5027406 (1991-06-01), Roberts et al.
Bengio et al., "Use of Neural Networks for the Recognition of Place of Articulation", 1988 IEEE Conference on Acoustics & Speech Processing, pp. 103-106.
Lang et al., "A Time-Delay Neural Network Architecture for Isolated Word Recognition", Neural Networks, v. 3, N. 1, 1990, pp. 23-43.

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