Auditory Signal Entity Annotation for Mobile Conversations

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Solution Overview

Problem

Users of smartphones and other mobile devices often face difficulties in capturing important information during conversations, leading to potential loss of data unless it is remembered manually.

Innovation Solution

A cellular phone application processes auditory data streams in real-time to identify and annotate entities like phone numbers, email addresses, and dates, allowing users to interact with the data by adding it to contacts or calendars, with options to disregard irrelevant information and utilize context for further actions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If users manually take notes during conversations, then information can be captured, but the process is difficult and time-consuming

Engineering Contradiction:

Improveinformation captureVSAvoidnote-taking difficulty

Core Design Contradiction:

Loss of informationVSEase of operation

Solution Approach 1:

The system automatically performs information capture, entity recognition, and annotation without requiring user intervention. The auditory data stream is processed autonomously to identify entities and present them for user review, eliminating the manual note-taking process while ensuring information is captured.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The manual mechanical process of writing notes is replaced with an automated computational system that processes auditory data streams, identifies entities through pattern recognition, and presents structured information to the user for review and action.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Loss of information

If users manually remember important information, then data can be retained, but this places cognitive burden on the user

Engineering Contradiction:

Improveinformation retentionVSAvoidcognitive load

Core Design Contradiction:

Loss of informationVSDevice complexity

Solution Approach 1:

The system autonomously handles information retention by continuously processing the auditory data stream, identifying entities, and maintaining them in a structured format for user review. This transfers the cognitive burden from the user to the automated system.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system acts as an intermediary between the auditory conversation and the user's memory, capturing and structuring information that would otherwise need to be retained in the user's mind. The intermediary process filters, identifies, and organizes information before presenting it to the user.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Productivity

If real-time processing of auditory data is implemented, then information is captured immediately, but system complexity increases

Engineering Contradiction:

Improveinformation capture speedVSAvoidprocessing system complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The real-time processing system is divided into distinct functional modules: auditory data stream reception, entity recognition, entity annotation, and user interface presentation. Each module handles a specific aspect of the processing pipeline, making the overall complex system manageable and maintainable while enabling real-time operation.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system introduces intermediary processing layers between the raw auditory data and the user, including entity recognition and annotation stages. These intermediaries break down the complex real-time processing task into manageable sequential steps that can be executed efficiently.

Inventive Principle:

Principle #24Intermediary (Mediator)

4Productivity

If automated entity recognition is used, then information capture efficiency improves, but accuracy of entity identification may be compromised

Engineering Contradiction:

Improveinformation capture efficiencyVSAvoidentity identification accuracy

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The system presents identified entities to the user for review and validation. This feedback loop allows users to verify entity identifications, correct errors, and provide input that can be used to improve the accuracy of future entity recognition, balancing automated efficiency with human oversight for precision.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS11882505B2Method and apparatus for automatically identifying and annotating auditory signals from one or more parties

Publication Date: 2024.01.23 EOLAS TECHNOLOGIES INC

AI summary

A telecommunications system, that after a communication is established by a first electronic communication device and a second electronic communication device, while the conversation is ongoing between a first person using the first electronic communication device and a second person using the second electronic communication device, responsive to content of converted text based on a plurality of words spoken, route the content to a cloud-based phone recognition and entity identification, annotation, and relevance processing resource, to enable display of information related to the content by at least one of the first electronic communication device and the second electronic communication device.