Automatic Closed Captioning Control via Ambient Noise Thresholds
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Solution Overview
Problem
Existing closed captioning systems require manual intervention to turn on or off based on changing ambient noise and program audio levels, which is inefficient and inconvenient.
Innovation Solution
A system that automatically determines whether to turn on or off closed captioning based on estimated loudness levels of ambient noise and program audio, using thresholds and user preferences to adjust settings dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If closed captioning is manually controlled, then the system can be kept simple, but the user convenience and efficiency deteriorate due to repeated manual adjustments
Solution Approach 1:
The closed captioning system automatically monitors ambient noise levels and program audio levels, then self-adjusts the captioning state without user intervention. The system serves itself by detecting when captions should be turned on or off based on real-time audio analysis, eliminating the need for manual user control while maintaining simplicity in user interaction.
Solution Approach 2:
The system continuously monitors ambient noise and program audio levels, compares these measurements against thresholds, and adjusts closed captioning state accordingly. This feedback loop enables automatic adaptation to changing listening conditions, improving user convenience while the automation handles the complexity internally.
2Ease of operation
If automatic closed captioning control is implemented, then user convenience improves, but the device complexity increases due to additional sensors and processing
Solution Approach 1:
The system utilizes existing audio processing components and ambient noise sensors that are already present in modern devices, making them serve dual purposes: standard audio processing and closed captioning control. This multi-functionality approach reduces the need for dedicated additional hardware, thereby limiting the increase in device complexity while maintaining automatic control capabilities.
3Productivity
If manual closed captioning adjustment is required, then the system remains simple, but time is lost due to searching for menu options and making adjustments
Solution Approach 1:
The system proactively monitors audio levels and ambient noise continuously, preparing to activate closed captioning before the user even becomes aware of the need for it. By detecting deteriorating listening conditions in advance, the system eliminates the time users would otherwise spend noticing the problem, searching for menu options, and manually adjusting settings.
Solution Approach 2:
The closed captioning system automatically detects when activation is needed based on real-time audio analysis and turns itself on or off without requiring user intervention. This self-service capability completely eliminates the time loss associated with manual menu navigation and adjustment, while the automated processing occurs efficiently in the background.
4Measurement precision
If automatic detection of ambient noise and audio levels is implemented, then closed captioning accuracy improves, but the measurement and detection difficulty increases
Solution Approach 1:
The system employs dedicated audio level meters and noise measurement components as intermediaries between the physical acoustic environment and the closed captioning control logic. These intermediary devices specialize in accurate audio measurement, converting complex acoustic conditions into standardized level measurements that are straightforward to compare against thresholds, thereby improving precision while managing detection complexity through specialized components.
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
Improves the efficiency and effectiveness of closed captioning by eliminating the need for manual adjustments, ensuring optimal viewing conditions without user intervention.
Implementation Method 1
The system may estimate the loudness level of the ambient noise by use of a loudness meter that causes the ambient noise to be sampled with a microphone
Implementation Method 2
The system may estimate the loudness level of the ambient noise by use of a loudness meter that causes the ambient noise to be sampled with a microphone and determining a decibel level of the sampled ambient noise
Data Source
AI summary
A system for controlling turning on and off of closed captioning receives information regarding a program content stream and automatically determines whether to turn on or off closed captioning based on thresholds being crossed regarding an estimated current loudness level of ambient noise and an estimated current loudness level of the audio of the program content stream. The estimated current loudness level of audio of the program content stream is, or is based on, one or more indications of current volume level in an audio signal representing the audio of the program content stream and current audio settings of a device outputting the audio of the program content stream. The system may estimate the loudness level of the ambient noise by use of a loudness meter that causes the ambient noise to be sampled with a microphone and a decibel level of the sampled ambient noise to be determined.