Voice Capture Session Manager for Hands-Free Generative Content

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Solution Overview

Problem

Existing systems lack the ability to seamlessly integrate generative AI models for hands-free generation and incorporation of content within voice-based input environments, such as speech-to-text, without requiring users to physically interact or navigate away from their current interface.

Innovation Solution

A voice-based generative system utilizing generative AI models that detects and processes voice commands within a voice capture session to generate and incorporate content like text, images, and memes without physical input, enabling features like tone change and query answering directly within the session.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If generative AI models are integrated into voice-based input environments, then content generation capability is improved, but system complexity increases

Engineering Contradiction:

Improvecontent generation capabilityVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent introduces a voice capture session manager as an intermediary component that coordinates between the voice capture session, generative AI model, and user interface. This mediator handles the complex interactions by managing voice command detection, model invocation, and result delivery, thereby improving content generation capability while containing system complexity through modular architecture

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The voice capture session is designed to serve multiple functions: it captures voice input, detects voice commands, invokes generative AI models, and delivers results within the same interface. This multi-functional design allows the system to handle both traditional speech-to-text conversion and new generative content creation without requiring separate systems, thus improving versatility while managing complexity

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Productivity

If voice commands are processed to generate content within the same session, then user interaction efficiency is improved, but processing time increases

Engineering Contradiction:

Improveuser interaction efficiencyVSAvoidprocessing time

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by detecting and classifying voice commands during the voice capture session before full content generation is required. The voice command detection and classification occur in real-time as voice input is being captured, allowing the system to prepare for subsequent content generation tasks and reduce overall processing time

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The voice capture session maintains continuous operation throughout the process, capturing voice input, detecting commands, and generating content without requiring the user to exit the session or switch interfaces. This continuous action eliminates interruptions and maintains productive flow, improving user interaction efficiency while the system manages processing time through efficient task scheduling

Inventive Principle:

Principle #20Continuity of useful action

3Ease of operation

If hands-free content generation is enabled, then ease of operation is improved, but control precision deteriorates

Engineering Contradiction:

Improvehands-free operation capabilityVSAvoidcommand recognition accuracy

Core Design Contradiction:

Ease of operationVSMeasurement precision

Solution Approach 1:

The system implements feedback mechanisms where the voice capture session provides continuous voice input to the command detection system, which then classifies and triggers appropriate generative AI model responses. This feedback loop allows the system to refine its command recognition through contextual understanding of the voice session, maintaining high accuracy while enabling hands-free operation

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The voice processing is segmented into distinct phases: voice capture, command detection, classification, and model invocation. Each segment handles a specific aspect of the process with specialized algorithms, allowing the system to maintain high command recognition accuracy in each phase while keeping the overall system hands-free and easy to operate

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20250273207A1Providing generative content within a voice capture session using large generative models

Publication Date: 2025.08.28 MICROSOFT TECHNOLOGY LICENSING LLC

AI summary

This disclosure describes the utilization of a voice-based generative system (e.g., an AI voice system) to improve the functionality of voice-based input environments by utilizing generative AI models to provide generative content as inputs. For instance, the voice-based generative system enables the incorporation of generative AI model content and features into voice-based input environments, such as speech-to-text environments. For example, the voice-based input environments provide flexibility to previously limited environments and applications by allowing speech-to-text to seamlessly change the tone of dictated speech, automatically compose new content, answer queries, generate images, and create memes within a voice capture session. The voice-based generative system automatically detects, processes, and performs operations to provide generative content without requiring a user to move away from their current user interface or provide additional physical input.