US 11,887,620 B2 · Language model score calculation apparatus, language model generation apparatus, methods therefor, program, and recording medium

Abstract

The present invention improves the accuracy of language prediction. A history speech meta-information understanding unit 11 obtains a history speech meta-information vector from a word string of a preceding speech using a meta-information understanding device. A history speech embedding unit 12 converts the word string of the preceding speech and a speaker label into a history speech embedding vector. A speech unit combination vector construction unit 13 obtains a speech unit combination vector by combining the history speech meta-information vector and the history speech embedding vector. A speech sequence embedding vector calculation unit 14 converts a plurality of speech unit combination vectors obtained for the past speech sequences to a speech sequence embedding vector. A language model score calculation unit 15 calculates a language model score of a current speech from a word string of the current speech, a speaker label, and a speech sequence embedding vector.

Claims14

Dependent claims

A language model score calculation device comprising a processor configured to execute operations comprising:

determining a history speech meta-information vector, wherein the history speech meta-information vector represents meta-information of a preceding speech using a meta-information understanding device regarding at least one piece of meta-information from a word string of the preceding speech;
converting the word string of the preceding speech and a speaker label representing a speaker of the preceding speech to a history speech embedding vector using a model parameter of a language model;
combining the history speech meta-information vector and the history speech embedding vector to obtain a speech unit combination vector;
converting a plurality of speech unit combination vectors obtained for past speech sequences to a speech sequence embedding vector using the model parameter of the language model;
and
determining a language model score of a current speech from a word string of the current speech, a speaker label representing a speaker of the current speech, and the speech sequence embedding vector using the model parameter of the language model.

3 more elements

A method comprising:

determining a history speech meta-information vector, wherein the history speech meta-information vector represents meta-information of a preceding speech using a meta-information understanding device regarding at least one piece of meta-information from a word string of the preceding speech;
converting the word string of the preceding speech and a speaker label representing a speaker of the preceding speech to a history speech embedding vector using a model parameter of a language model;
combining the history speech meta-information vector and the history speech embedding vector to obtain a speech unit combination vector;
converting a plurality of speech unit combination vectors obtained for past speech sequences to a speech sequence embedding vector using the model parameter of the language model;
and
determining a language model score of a current speech from a word string of the current speech, the speaker label representing a speaker of the current speech, and the speech sequence embedding vector using the model parameter of the language model.

3 more elements

Dependencies are inferred from the claim text.

Language model score calculation apparatus, language model generation apparatus, methods therefor, program, and recording medium

Life of this patent

Language model score calculation apparatus, language model generation apparatus, methods therefor, program, and recording medium

Life of this patent

Abstract

Claims14