18062630. ADAPTIVE, INDIVIDUALIZED, AND CONTEXTUALIZED TEXT-TO-SPEECH SYSTEMS AND METHODS simplified abstract (Truist Bank)

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ADAPTIVE, INDIVIDUALIZED, AND CONTEXTUALIZED TEXT-TO-SPEECH SYSTEMS AND METHODS

Organization Name

Truist Bank

Inventor(s)

Bjorn Austraat of New York NY (US)

ADAPTIVE, INDIVIDUALIZED, AND CONTEXTUALIZED TEXT-TO-SPEECH SYSTEMS AND METHODS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18062630 titled 'ADAPTIVE, INDIVIDUALIZED, AND CONTEXTUALIZED TEXT-TO-SPEECH SYSTEMS AND METHODS

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.

Key Features and Innovation:

  • Real-time processing of input audio data from a user to categorize communication elements.
  • Generation of individualized and contextualized responses based on user and assigned contextual category.
  • Text-to-speech processing to produce audio output with predicted optimal speech pattern.
  • Measurement of user reaction to audio output to improve future iterations of text-to-speech processing.

Potential Applications: This technology can be applied in customer service interactions, virtual assistants, language learning applications, and personalized communication platforms.

Problems Solved: This technology addresses the challenge of providing personalized and contextually relevant responses in real-time audio interactions.

Benefits:

  • Enhanced user experience through personalized responses.
  • Improved communication efficiency in various applications.
  • Adaptive text-to-speech processing for optimal outcomes.

Commercial Applications: Title: Personalized Audio Communication System for Enhanced User Experience This technology can be utilized in call centers, language learning platforms, virtual assistants, and customer service applications to improve user satisfaction and communication effectiveness.

Prior Art: Further research can be conducted in the fields of natural language processing, speech recognition, and personalized communication systems to explore related technologies and advancements in this area.

Frequently Updated Research: Stay updated on advancements in natural language processing, speech recognition, and user experience design to enhance the capabilities of this technology.

Questions about Personalized Audio Communication System: 1. How does this technology improve user interactions in real-time audio communication? 2. What are the potential applications of this system in different industries?


Original Abstract Submitted

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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