Importance

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Abstract

The invention extends the capability of conventional computer speech recognition programs to reliably recognize and understand large word and phrase vocabularies for teaching language comprehension and oral production skills. At each step of a teaching program, information is supplied to the user such that some responses in the language being taught are correct (or appropriate) and some are incorrect (or inappropriate), with these respective sets of responses judiciously selected to teach some language aspect. A subset of allowable correct and incorrect responses is selected such that a speech recognition subprogram readily discerns certain allowable responses from other allowable responses, including each incorrect response being discriminable from each correct response. The meanings of at least the correct allowable responses are made clear by aural or visual information, such as graphic images, printed text, or translations into the user's native language. A model of the correct pronunciation of each allowable response may be available, with these models presented either exhaustively or selectively. The invention includes a mechanism for differentiating between improperly formed and deficient productions and providing corrective feedback upon deficient production. The mechanism for differentiating may include dummy, improperly formed speech models, and augmentative voice analyzers may be used. Augmentative monitors capturing non-acoustic measurements may be included.

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First Claim