System and method for data-driven socially customized models for language generation
First Claim
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1. A method comprising:
- identifying, via a processor configured to perform speech analysis, an identity of a user based on characteristics of received speech during a dialog between the user and a dialog system, to yield a user identification;
generating a personalized natural language generation model based on a stylistic analysis on a literary narrative and the user identification, wherein the stylistic analysis identifies connections between two or more of a personality independent quotation lattice, personality independent attributes, personality dependent attributes, and speakers within the literary narrative; and
applying the personalized natural language generation model while performing, as part of the dialog, one of automatic speech recognition or natural language generation.
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Abstract
Systems, methods, and computer-readable storage devices for generating speech using a presentation style specific to a user, and in particular the user'"'"'s social group. Systems configured according to this disclosure can then use the resulting, personalized, text and/or speech in a spoken dialog or presentation system to communicate with the user. For example, a system practicing the disclosed method can receive speech from a user, identify the user, and respond to the received speech by applying a personalized natural language generation model. The personalized natural language generation model provides communications which can be specific to the identified user.
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Citations
17 Claims
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1. A method comprising:
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identifying, via a processor configured to perform speech analysis, an identity of a user based on characteristics of received speech during a dialog between the user and a dialog system, to yield a user identification; generating a personalized natural language generation model based on a stylistic analysis on a literary narrative and the user identification, wherein the stylistic analysis identifies connections between two or more of a personality independent quotation lattice, personality independent attributes, personality dependent attributes, and speakers within the literary narrative; and applying the personalized natural language generation model while performing, as part of the dialog, one of automatic speech recognition or natural language generation. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A system comprising:
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a processor configured to perform speech analysis; and a computer-readable storage medium having instructions stored which, when executed by the processor, cause the processor to perform operations comprising; identifying an identity of a user based on characteristics of received speech during a dialog between the user and a dialog system, to yield a user identification; generating a personalized natural language generation model based on a stylistic analysis on a literary narrative and the user identification, wherein the stylistic analysis identifies connections between two or more of a personality independent quotation lattice, personality independent attributes, personality dependent attributes, and speakers within the literary narrative; and applying the personalized natural language generation model while performing, as part of the dialog, one of automatic speech recognition and natural language generation. - View Dependent Claims (8, 9, 10, 11, 12, 13, 14)
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15. A non-transitory computer-readable storage device having instructions stored which, when executed by a computing device, cause the computing device to perform operations comprising:
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identifying an identity of a user based on characteristics of received speech during a dialog between the user and a dialog system, to yield a user identification; generating a personalized natural language generation model based on a stylistic analysis on a literary narrative and the user identification, wherein the stylistic analysis identifies connections between two or more of a personality independent quotation lattice, personality independent attributes, personality dependent attributes, and speakers within the literary narrative; and applying the personalized natural language generation model while performing, as part of the dialog, one of automatic speech recognition and natural language generation. - View Dependent Claims (16, 17)
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Specification