Environmental Noise Detection for Automatic Closed Captioning

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Solution Overview

Problem

Conventional mechanisms for managing closed captioning are limited, often requiring manual user intervention and are not effectively integrated with environmental noise detection to optimize accessibility for hearing-impaired viewers or those in noisy environments.

Innovation Solution

A system that automatically manages closed captioning by using device sensors to monitor environmental noise levels and spectral characteristics, triggering caption display or providing easy access when noise interferes with the viewing experience, and allowing seamless integration with media streaming systems.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual user intervention is used to manage closed captioning, then user control over caption display is maintained, but system complexity increases and ease of operation decreases

Engineering Contradiction:
Improveease of operationVSAvoiddevice complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The system automatically manages closed captioning display by monitoring environmental noise levels and spectral characteristics without requiring manual user intervention. The device serves itself by using sensors to detect noise conditions and automatically triggering caption display or providing easy access options when noise interferes with the viewing experience.

Inventive Principle:
Principle #25Self-service

2Reliability

If automatic noise monitoring is implemented, then accessibility for hearing-impaired viewers is improved, but device complexity increases

Engineering Contradiction:
ImprovereliabilityVSAvoiddevice complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system integrates multiple functions into a unified automatic caption management mechanism. The same noise monitoring system serves both hearing-impaired viewers and those in noisy environments, providing universal accessibility benefits without requiring separate manual control systems.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system continuously monitors environmental noise levels and spectral characteristics, using this feedback to automatically adjust closed captioning display. The feedback loop enables the system to respond dynamically to changing noise conditions, improving reliability for accessibility without requiring complex manual intervention systems.

Inventive Principle:
Principle #23Feedback

3Reliability

If closed captioning is always displayed, then accessibility is improved, but loss of information increases due to unnecessary caption display in quiet environments

Engineering Contradiction:
ImprovereliabilityVSAvoidloss of information
Core Design Contradiction:
ReliabilityVSLoss of information

Solution Approach 1:

The system dynamically adjusts closed captioning display based on real-time environmental noise conditions. Rather than always displaying captions or requiring manual selection, the system adapts its behavior to the current acoustic environment, displaying captions automatically only when noise levels warrant such intervention.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes the display parameter of closed captioning based on measured noise level parameters and spectral characteristics. By monitoring environmental parameters and using them to control caption display parameters, the system avoids unnecessary caption display in quiet environments while ensuring accessibility when needed.

Inventive Principle:
Principle #35Parameter changes

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enhances accessibility by automatically displaying closed captions in noisy conditions, improving user experience and compliance with legal requirements for captioning without user intervention.

Implementation Method 1

A system that automatically manages closed captioning by using device sensors to monitor environmental noise levels and spectral characteristics

Methodology Applied
Scientific EffectAcoustic detection: Sound

Data Source

PatentUS12425539B2Closed captioning management system
Publication Date: 2025.09.23 ADEIA MEDIA HOLDINGS INC
  • US12425539B2 patent drawing
  • US12425539B2 patent drawing
  • US12425539B2 patent drawing

AI summary

Media content typically includes closed captioning information such as subtitled in domestic and foreign languages. Techniques and mechanisms provide that closed captioning information may be toggled on/off using menu options and preferences as well as automatically managed by intelligently monitoring the environment surrounding a device. Device sensors such as microphones and vibration monitors determine the noise level of an environment as well as the spectral characteristics of the noise to determine whether the noise profile would interfere with the video playback experience. A particular environmental noise profile could automatically trigger the display of closed captioning information or present an easy access, otherwise unavailable toggle to display closed captioning information associated with a video stream.