VOICE RECOGNITION DEVICE AND VOICE RECOGNITION METHOD, LANGUAGE MODEL GENERATING DEVICE AND LANGUAGE MODEL GENERATING METHOD, AND COMPUTER PROGRAM
First Claim
Patent Images
1. A speech recognition device, comprising:
- one intention extracting language model and more in which each intention of a focused specific task is inherent;
an absorbing language model in which any intention of the task is not inherent;
a language score calculating section that calculates a language score indicating a linguistic similarity between each of the intention extracting language model and the absorbing language model, and the content of an utterance; and
a decoder that estimates an intention in the content of an utterance based on a language score of each of the language models calculated by the language score calculating section.
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Abstract
A speech recognition device includes one intention extracting language model and more in which an intention of a focused specific task is inherent, an absorbing language model in which any intention of the task is not inherent, a language score calculating section that calculates a language score indicating a linguistic similarity between each of the intention extracting language model and the absorbing language model, and the content of an utterance, and a decoder that estimates an intention in the content of an utterance based on a language score of each of the language models calculated by the language score calculating section.
238 Citations
11 Claims
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1. A speech recognition device, comprising:
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one intention extracting language model and more in which each intention of a focused specific task is inherent; an absorbing language model in which any intention of the task is not inherent; a language score calculating section that calculates a language score indicating a linguistic similarity between each of the intention extracting language model and the absorbing language model, and the content of an utterance; and a decoder that estimates an intention in the content of an utterance based on a language score of each of the language models calculated by the language score calculating section. - View Dependent Claims (2, 3, 4)
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5. A speech recognition method, comprising the steps of:
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firstly calculating a language score indicating a linguistic similarity between one intention extracting language model and more in which each intention of a focused specific task is inherent and the content of an utterance; secondly calculating a language score indicating a linguistic similarity between an absorbing language model in which any intention of the task is not inherent and the content of an utterance; and estimating an intention in the content of an utterance based on a language score of each of the language models calculated in the first and second language score calculations.
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6. A language model generation device, comprising;
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a word meaning database in which a combination of an abstracted vocabulary of a first part-of-speech string and an abstracted vocabulary of a second part-of-speech string and one or more words indicating the same meaning or a similar intention of the abstract vocabularies are registered, by making abstract the vocabulary candidate of the first part-of-speech string and the vocabulary candidate of the second part-of-speech string that may appear in an utterance indicating an intention, with respect to each intention of a focused specific task; descriptive grammar model creating means for creating a descriptive grammar model indicating an intention based on the combination of the abstracted vocabulary of the first part-of-speech string and the abstracted vocabulary of the second part-of-speech string indicating the intention of the task and one or more words indicating a same meaning or a similar intention for abstract vocabularies registered in the word meaning database; collecting means for collecting a corpus having a content that a speaker is likely to utter for an intention by automatically generating sentences consistent with each intention from the descriptive grammar model for the intention; and language model creating means for creating a statistical language model in which each intention is inherent by subjecting the corpus collected for the intention to statistical processing. - View Dependent Claims (7)
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8. A language model generation method, comprising the steps of:
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creating a grammar model by making abstract a necessary phrase for transmitting each intention included in a focused task; collecting a corpus having a content that a speaker is likely to utter for an intention by automatically generating sentences consistent with each intention by using the grammar model; and constructing a plurality of statistical language models corresponding to each intention by performing probabilistic estimation from each corpus with a statistical technique.
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9. A computer program described in a computer readable format so as to execute a process for speech recognition on a computer, the program causing the computer to function as:
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one intention extracting language model and more in which each intention of a focused specific task is inherent; an absorbing language model in which any intention of the task is not inherent; a language score calculating section that calculates a language score indicating a linguistic similarity between each of the intention extracting language model and the absorbing language model, and the content of an utterance; and a decoder that estimates an intention in the content of an utterance based on a language score of each of the langue models calculated by the language score calculating section.
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10. A computer program described in a computer readable format so as to execute a process for the generation of a language model on a computer, the program causing the computer to function as:
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a word meaning database in which a combination of an abstracted vocabulary of a first part-of-speech string and an abstracted vocabulary of a second part-of-speech string and one or more words indicating the same or a similar intention of the abstract vocabularies are registered, by making abstract the vocabulary candidate of the first part-of-speech string and the vocabulary candidate of the second part-of-speech string that may appear in an utterance indicating an intention, with respect to each intention of a focused specific task; descriptive grammar model creating means for creating a descriptive grammar model indicating an intention based on the combination of the abstracted vocabulary of the first part-of-speech string and the abstracted vocabulary of the second part-of-speech string indicating the intention of the task and one or more words indicating a same meaning or a similar intention for abstract vocabularies registered in the word meaning database; collecting means for collecting a corpus having a content that a speaker is likely to utter for an intention by automatically generating sentences consistent with each intention from the descriptive grammar model for the intention; and language model creating means for creating a statistical language model in which each intention is inherent by subjecting the corpus collected for the intention to statistical processing.
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11. A language model generation device, comprising;
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a word meaning database in which a combination of an abstracted vocabulary of a first part-of-speech string and an abstracted vocabulary of a second part-of-speech string and one or more words indicating the same meaning or a similar intention of the abstract vocabularies are registered, by making abstract the vocabulary candidate of the first part-of-speech string and the vocabulary candidate of the second part-of-speech string that may appear in an utterance indicating an intention, with respect to each intention of a focused specific task; a descriptive grammar model creating unit which creates a descriptive grammar model indicating an intention based on the combination of the abstracted vocabulary of the first part-of-speech string and the abstracted vocabulary of the second part-of-speech string indicating the intention of the task and one or more words indicating a same meaning or a similar intention for abstracted vocabularies registered in the word meaning database; a collecting unit which collects a corpus having a content that a speaker is likely to utter for an intention by automatically generating sentences consistent with each intention from the descriptive grammar model for the intention; and a language model creating unit that creates a statistical language model in which each intention is inherent by subjecting the corpus collected for the intention to statistical processing.
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Specification