Headset Mute Notification with Voice Activity Detection
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Solution Overview
Problem
Existing audio communication systems, such as headsets, often provide unintended microphone mute notifications, which can be disturbing, especially when the user is speaking to someone physically present or when background noise is misinterpreted as speech.
Innovation Solution
A method using a Voice Activity Detection (VAD) algorithm in conjunction with additional microphones to suppress surrounding noise and introduce an additional condition for determining when to provide mute state notifications, ensuring that only intended speech triggers notifications, thereby reducing false alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If audible notification is provided when user speaks into muted microphone, then user is always notified of mute state, but user may be disturbed when speaking to physically present colleague
Solution Approach 1:
The system uses feedback from multiple sources (VAD algorithm analyzing user speech, additional microphones analyzing surrounding speech, and call participant speech detection) to intelligently determine when to provide mute notifications, avoiding false alarms during physical conversations
Solution Approach 2:
The patent introduces an intermediary assessment layer that processes information from multiple sensors and algorithms before triggering the notification. This intermediary layer analyzes whether detected speech is intended for the call or for a physically present person, mediating between the simple detection and the notification output
2Quantity of substance
If microphone picks up surrounding sounds including colleague speech, then comprehensive audio capture is achieved, but false mute notifications are triggered when colleague speaks
Solution Approach 1:
The patent segments the audio detection function into multiple independent components: primary microphone for user speech, additional microphones for surrounding speech, and separate analysis streams for each. This segmentation allows the system to distinguish between user speech intended for the call and surrounding speech from colleagues
Solution Approach 2:
Different microphones are positioned with different local qualities and orientations - the primary microphone is positioned to capture user speech while additional microphones are positioned to capture surrounding environment. Each microphone's output is processed with appropriate algorithms tailored to its specific capture characteristics
3Device complexity
If simple mute notification system is used, then system complexity is low, but unintended notifications occur frequently
Solution Approach 1:
The system performs preliminary actions by continuously analyzing speech patterns and environmental sounds before triggering a notification. The VAD algorithm and additional microphones prepare assessment data in advance, so when speech is detected, the system can immediately determine whether notification is appropriate without false alarms
Data Source
AI summary
A method and device, e.g. a headset, for notifying a user of a mute state of a primary microphone during a call, in case the user speaks while the primary microphone is muted. The method comprises performing a noise cancellation algorithm (ENC) on output signals from the primary microphone and on output signals from an additional microphone capturing sound in the user's surroundings to suppress surrounding noise at the user location. Further processing output signals from the primary microphone according to a Voice Activity Detection (VAD) algorithm by means of a processor system while the primary microphone is muted. The VAD algorithm is used to determine if speech is present, and next it is determined if an additional condition if fulfilled. Then, finally providing a mute state notification to the user only if it is determined that speech is present and the additional condition is fulfilled.