Method and apparatus for creating speech recognition grammars co

Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition

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704255, 704251, G10L 506, G10L 900

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active

059373857

ABSTRACT:
An automated system generates and revises grammars for speech recognizers in a speech recognition system. Given an initial grammar, expressed in terms of non-terminals in Backus-Naur Form (BNF) notation, a sentence generator generates a list of all sentences accepted by the grammar. From this list, a corpus of inappropriate or irrelevant sentences which are accepted by the grammar (counter-examples) is identified. A grammar revisor program uses the original grammar and the list of counter examples, to generate a pruned list from which a revised grammar is generated. The revision process is iterated several times either concatenating or merging pairs of non-terminals until the revised grammar is deemed satisfactory in that it accepts as legal only relevant sentences. The revised grammar is used by the speech recognizer, thus reducing errors in the overall system.

REFERENCES:
patent: 5086472 (1992-02-01), Yoshida
patent: 5642519 (1997-06-01), Martin
Peter Grunwald, A Minimum Description Length Approach to Grammar Interference, pp. 201-216.
Michael Koerner, et al. "Speech Recognition the Future Nnow|" ISBN 0-13-618190-2, IBM Technical Support Center, Austin, Texas 78758.
Wlodek Zadrozny, "Minimum Description Length and Compositionality", IBM Research Report, RC20641 (91365) Nov. 25, 1996, pp.1-12.

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