Large-vocabulary speech recognition using an integrated syntacti

Details Large-vocabulary speech recognition using an integrated syntacti Large-vocabulary speech recognition using an integrated syntacti

1996-12-17

1998-11-17

Hudspeth, David R.

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

704243, 704255, G01L 506, G01L 906

Patent

active

058391061

ABSTRACT:
Methods and apparatus for performing large-vocabulary speech recognition employing an integrated syntactic and semantic statistical language model. In an exemplary embodiment, a stochastic language model is developed using a hybrid paradigm in which latent semantic analysis is combined with, and subordinated to, a conventional n-gram paradigm. The hybrid paradigm provides an estimate of the likelihood that a particular word, chosen from an underlying vocabulary will occur given a prevailing contextual history. The estimate is computed as a conditional probability that a word will occur given an "integrated" history combining an n-word, syntactic-type history with a semantic-type history based on a much larger contextual framework. Thus, the exemplary embodiment seamlessly blends local language structures with global usage patterns to provide, in a single language model, the proficiency of a short-horizon, syntactic model with the large-span effectiveness of semantic analysis.

REFERENCES:
patent: 5384892 (1995-01-01), Strong
patent: 5502774 (1996-03-01), Bellagarde
Bernstein, Macrophone: . . . Speech Corpus. . . , IEEE/ICASSP, pp. 1-81 to 1-84, Apr. 22, 1994.

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