Headset ANC Control Using Trigger Words for Relevant Audio
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Solution Overview
Problem
Conventional active noise cancellation (ANC) systems in headsets require manual adjustment by users, leading to inconvenience and potential missed important information due to the user's inability to hear external audio, especially when wearing headphones.
Innovation Solution
Implementing an audio playback manager in mobile devices or headsets that detects trigger words and adjusts ANC based on location and user preferences, pausing audio playback and presenting relevant audio data to ensure the user is aware of important external audio.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If active noise cancellation is enabled in headsets, then ambient noise is reduced and audible media is enhanced, but users cannot hear external audio and must manually adjust ANC settings
Solution Approach 1:
The system automatically detects audio sources and adjusts ANC settings without requiring user intervention. The audio source detector identifies when external audio is present and the processor automatically modifies ANC operation accordingly, allowing the system to serve itself rather than requiring manual user adjustment.
Solution Approach 2:
The system continuously monitors the audio environment using microphones and detects the presence of audio sources. This feedback loop allows the system to sense external conditions and automatically adjust ANC settings in response to detected audio sources, creating a closed-loop control system that adapts to environmental conditions.
2Object-affected harmful factors
If active noise cancellation is enabled in headsets, then ambient noise is reduced and audible media is enhanced, but users may miss important external information
Solution Approach 1:
The system continuously monitors the audio environment using microphones and detects the presence of audio sources. This feedback loop allows the system to sense external conditions and automatically adjust ANC settings in response to detected audio sources, creating a closed-loop control system that adapts to environmental conditions.
Solution Approach 2:
The ANC operation is made dynamic rather than static. The system automatically adjusts ANC settings based on real-time detection of audio sources, allowing the noise cancellation level to change dynamically in response to environmental conditions rather than remaining fixed at a manual setting.
3Adaptability or versatility
If manual ANC adjustment mechanism is provided, then users can control ANC settings, but user convenience is reduced and operation complexity increases
Solution Approach 1:
The system automatically detects audio sources and adjusts ANC settings without requiring user intervention. The audio source detector identifies when external audio is present and the processor automatically modifies ANC operation accordingly, allowing the system to serve itself rather than requiring manual user adjustment.
Solution Approach 2:
The manual mechanical adjustment mechanism is replaced with an automated electronic detection and control system. Instead of requiring physical buttons or switches for ANC adjustment, the system uses audio source detectors and processors to automatically control ANC operation, replacing mechanical user interaction with electronic automation.
Data Source
AI summary
In aspects of presenting relevant audio data, a mobile device implements an audio playback manager that monitors audio in an environment for a trigger word. The audio playback manager detects the trigger word via a microphone associated with a headset in communication with a mobile device. The audio playback manager determines whether a portion of the audio preceding the trigger word is relevant to a user of the mobile device and presents the portion of the audio that is relevant to the user.