Adaptive, individualized, and contextualized text-to-speech systems and methods
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United States of America
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Apr 1, 2025
Grant Date -
Jun 13, 2024
app pub date -
Dec 7, 2022
filing date -
Dec 7, 2022
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Abstract
Systems and methods receive, in real-time from a user via a user device, input audio data comprising communication element(s) and trained model(s) are applied thereto to categorize the communication element(s), the categorizing comprising assigning a contextual category to a communication element. Text is generated that includes a response to the communication element(s), the response including individualized and contextualized qualities predicted to provide an optimal outcome based on (i) the assigned contextual category and (ii) the user. Text-to-speech processing of the text is implemented to produce an audio output comprising (a) the response and (b) a speech pattern predicted to facilitate the optimal outcome. The audio output is provided to the user via the user device, and based thereon a user's reaction is measured according to a quantifiable quality score that is used to modify future iterations of text-to-speech processing to provide future audio output(s) including a revised speech pattern.
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