Audio Link Generation via Dialogue Correlation Index

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Solution Overview

Problem

Existing architectures fail to effectively identify and analyze speech data from multiple devices to generate links or hyperlinks based on shared dialogues, leading to inefficient use of network resources and processor cycles.

Innovation Solution

A system comprising user devices and a server that receive and process audio data, using speech recognition, biometric data, and metadata to determine if speech data is from the same dialogue, and generate a link based on the correlation index, which measures the quality of conversation between devices, thereby optimizing data transmission and processing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Difficulty of detecting and measuring

If the system processes audio data from multiple devices to generate links, then the ability to identify and analyze shared dialogues is improved, but the use of network resources and processor cycles increases

Engineering Contradiction:

Improveability to identify and analyze shared dialoguesVSAvoiduse of network resources and processor cycles

Core Design Contradiction:

Difficulty of detecting and measuringVSUse of energy by moving object

Solution Approach 1:

The system performs preliminary actions by extracting metadata (timestamps, locations, keywords) from audio data before full processing. This preliminary extraction allows the system to quickly determine whether audio segments from different devices belong to the same dialogue without requiring intensive processing of the entire audio content, thus resolving the contradiction between improved dialogue identification capability and reduced resource consumption

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The invention extracts only the essential metadata elements (timestamps, locations, keywords, biometric data) from the audio data while leaving the bulk audio content unprocessed. This extraction approach enables the system to identify shared dialogues across multiple devices using minimal processed data, significantly reducing network resource usage and processor cycle requirements while maintaining the ability to accurately detect and measure dialogue relationships

Inventive Principle:

Principle #2Taking out (Extraction)

2Loss of energy

If the system transmits only relevant audio data, then network resource consumption is reduced, but the quantity of transmitted data decreases

Engineering Contradiction:

Improvenetwork resource consumptionVSAvoidquantity of transmitted data

Core Design Contradiction:

Loss of energyVSQuantity of substance

Solution Approach 1:

The system extracts and transmits only the relevant metadata (timestamps, locations, keywords, biometric data) that is necessary for dialogue identification and link generation, rather than transmitting complete audio files. This extraction principle reduces network resource consumption by orders of magnitude while providing sufficient information for the server to perform its functions

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The metadata acts as an intermediary between the full audio data and the link generation process. By transmitting this intermediate representation rather than the complete audio content, the system achieves both goals: minimal network resource consumption and sufficient data quantity for meaningful processing at the server side

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS11574625B2Audio-based link generation

Publication Date: 2023.02.07 DISH NETWORK LLC

AI summary

First and second speech data can be received from respective first and second devices. The first and second speech data can be determined to be from a same dialog. A link can be generated based on the dialog.