Speech classifier and method using delay elements

Details Speech classifier and method using delay elements Speech classifier and method using delay elements

1998-03-23

2000-03-14

Dorvil, Richemond

Data processing: speech signal processing, linguistics, language

Speech signal processing

Application

704231, G10L 708

Patent

active

060385359

ABSTRACT:
Classifiers (110) and a selector (112) perform an identification method (300) to identify an ordered set of vectors (e.g., spoken commands, phoneme identification, radio signatures, communication channels, etc.) representing a class as one of a predetermined set of classes. Training processor (104) performs a training method (200) to train a set of models and store the models in a model memory (108). Classifiers (110) receive models from the model memory and combine the models with the ordered set of vectors to determine a set of scores. The selector associates the set of scores with the predetermined set of classes to identify the ordered set of vectors as a class from the predetermined set of classes.

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An article entitled "Tensor Product Basis Approximations For Volterra Filters", by Robert D. Nowak, and Barry D. Van Veen, IEEE members, from IEEE Transactions On Signal Processing, vol. 44, No. 1, Jan. 1996.
An article entitled "Temporal Processing", by Simon Haykin from Neutral Networks, A Comprehensive Foundation, 1994.

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