Dynamic language model for speech recognition

Details Dynamic language model for speech recognition Dynamic language model for speech recognition

1992-12-31

1995-01-24

MacDonald, Allen R.

395 264, G10L 900

Patent

active

053848926

ABSTRACT:
A method of speech recognition which determines acoustic features in a sound sample; recognizes words comprising the acoustic features based on a language model, which determines the possible sequences of words that may be recognized; and the selection of an appropriate response based on the words recognized. Information about what words may be recognized, under which conditions those words may be recognized, and what response is appropriate when the words are recognized, is stored, in a preferred embodiment, in a data structure called a speech rule. These speech rules are partitioned according to the context in which they are active. When speech is detected, concurrent with acoustic feature extraction, the current state of the computer system is used to determine which rules are active and how they are to be combined in order to generate a language model for word recognition. A language model is dynamically generated and used to find the best interpretation of the acoustic features as a word sequence. This word sequence is then matched against active rules in order to determine the appropriate response. Rules that match all or part of the word sequence contribute data structures representing the "meaning" of the word sequence, and these data structures are used by the rule actions in order to generate an appropriate response to the spoken utterance.

REFERENCES:
patent: 4827520 (1989-05-01), Zeinstra
Kai-Fu Lee, Large-Vocabulary Speaker-Independent Continuous Speech Recognition: The SPHINX System, Apr. 18, 1988 (submitted for fulfillment of requirements for Ph.D. at Carnegie Mellon University), pp. 1-155.

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