Hybrid Voice Intent Processing for Low-Latency Accurate Requests

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Solution Overview

Problem

Existing information handling systems struggle to efficiently process voice requests and accommodate multiple gaming environments with varying AV systems and network availability, leading to inconsistent user experiences across different locations in a home.

Innovation Solution

A hybrid local and global intent engine system is employed, where a local intent engine processes voice requests on a computing device, and if confidence thresholds are not met, a global intent engine on another device is utilized, with a hub device managing game sessions and AV configurations across multiple environments.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Speed

If a local intent engine is used to process voice requests, then processing speed and responsiveness are improved, but accuracy and reliability deteriorate when confidence thresholds are not met

Engineering Contradiction:

Improvevoice request processing speedVSAvoidintent prediction accuracy

Core Design Contradiction:

SpeedVSReliability

Solution Approach 1:

The system divides intent prediction into two segments: local intent prediction (fast, first-level processing) and global intent prediction (accurate, second-level processing). The local intent engine processes requests immediately for speed, while the global intent engine provides backup accuracy when needed, resolving the contradiction between speed and reliability.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The hub device acts as an intermediary between the local computing device and the global intent engine. It receives voice requests locally, evaluates confidence measures, and selectively forwards requests to the global intent engine when local confidence is insufficient, enabling seamless transition between fast local processing and accurate global processing.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If a global intent engine is used to ensure accurate intent prediction, then reliability is improved, but processing speed and responsiveness deteriorate due to network dependency

Engineering Contradiction:

Improveintent prediction accuracyVSAvoidvoice request processing speed

Core Design Contradiction:

ReliabilityVSSpeed

Solution Approach 1:

The system performs preliminary local intent prediction before involving the global intent engine. By pre-processing requests locally and only escalating when confidence is insufficient, the system minimizes network dependency and maintains fast response times while ensuring accuracy when needed.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system dynamically adjusts processing mode based on confidence measures. When local confidence is high, it uses fast local processing; when confidence is low, it transitions to accurate global processing. This dynamic adaptation resolves the contradiction between speed and reliability.

Inventive Principle:

Principle #15Dynamics

3Adaptability or versatility

If AV systems are configured for each environment, then user experience consistency is improved, but device complexity and configuration overhead increase

Engineering Contradiction:

Improveenvironmental adaptation capabilityVSAvoidAV system configuration complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The hub device provides universal AV configuration management that works across multiple environments. It automatically detects the current environment, selects appropriate AV settings, and configures devices accordingly, enabling the system to adapt to different environments without requiring separate manual configurations for each location.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system performs self-service environmental adaptation by automatically detecting which environment the user is in and configuring AV settings without user intervention. The hub device autonomously manages the complexity of multi-environment configuration, reducing the burden on users while maintaining adaptability.

Inventive Principle:

Principle #25Self-service

4Stability of the object's composition

If session migration is implemented across environments, then user experience continuity is improved, but system coordination complexity increases

Engineering Contradiction:

Improvegaming session continuityVSAvoidsession management coordination

Core Design Contradiction:

Stability of the object's compositionVSDevice complexity

Solution Approach 1:

The hub device serves as an intermediary for session management across environments. It coordinates session state, manages migration between devices, and maintains continuity seamlessly, abstracting the complexity of multi-device coordination from users and enabling stable session composition across different environments.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS12469496B2Hybrid local and global processing of voice requests from users

Publication Date: 2025.11.11 DELL PROD LP

AI summary

Systems and methods described herein may provide a system that enables hybrid local and global processing of voice requests from a user. A computing device may receive audio data containing a voice request from a user and may determine, using a local intent engine, a local intent prediction based on the voice request. The computing device may determine that the local intent prediction has a confidence measure that is less than a predetermined threshold and may, in response, transmit data containing the voice request to a global intent engine. The computing device may receive a global intent prediction from the global intent engine and may determine a corresponding computing process based on the global intent prediction.