GAN Image Translation for Voice Communication Barriers

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Solution Overview

Problem

Individuals, especially in establishments like stores or restaurants, face challenges in communicating due to language barriers or hearing impairments, making transactions difficult without effective assistance.

Innovation Solution

A computer-implemented method using a generative adversarial network (GAN) to translate voice instructions into image data, allowing users to communicate through photographic or non-photographic images, and accepting instructions based on user interaction, with historical transaction data analysis to suggest transactions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If voice translation to image data is implemented to help users communicate, then communication effectiveness is improved, but system complexity increases

Engineering Contradiction:

Improvecommunication effectivenessVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent introduces an intermediary system that translates voice instructions into image data. This intermediary component acts as a bridge between the voice input and the user, converting auditory information into visual representations that users can understand and interact with, thereby improving communication effectiveness without requiring direct modification of the core communication infrastructure

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces the traditional acoustic/auditory mechanism with a visual/image-based mechanism. Instead of relying on users to process voice instructions through hearing and language comprehension, the system substitutes this with image generation and visual processing, allowing users to understand instructions through visual cues rather than auditory processing

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Ease of operation

If historical transaction data is analyzed to suggest transactions, then user experience is improved, but processing time increases

Engineering Contradiction:

Improveuser experienceVSAvoidprocessing time

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The patent performs preliminary analysis of historical transaction data in advance, preparing transaction suggestions before they are needed. By pre-processing and organizing historical data, the system can quickly retrieve and present relevant transaction suggestions when users interact with the system, improving user experience without causing delays during actual transaction processing

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent applies partial analysis to historical data by focusing only on the most relevant features and patterns needed for transaction suggestions, rather than analyzing every detail of historical transactions. This selective approach provides sufficient user experience improvement while minimizing the processing time required

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS11715285B2Methods and systems for providing images for facilitating communication

Publication Date: 2023.08.01 CAPITAL ONE SERVICES LLC

AI summary

Aspects of the disclosure include computer-implemented methods and systems for providing generative adversarial network (GAN) digital image data. GAN digital image data corresponding to a suggested transaction for an identified customer can be determined.