Audio Anomaly Detection for Mute Status Indication
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Solution Overview
Problem
Individuals often unintentionally transmit unwanted audio during remote calls or conferences due to the lack of reliable indicators for mute status, leading to embarrassing and disruptive situations, as existing solutions rely on visual cues that may be overlooked or dynamically change, causing confusion with redundant mute functionalities.
Innovation Solution
An information handling device receives audio input, determines if an audible anomaly exists by comparing it to an established speech pattern, and performs a remedial action such as providing a notification or dynamically activating a mute control to prevent unintended audio transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If visual mute indicators are used to show mute status, then users can see whether they are muted, but users may overlook these indicators or become confused by redundant mute functionalities
Solution Approach 1:
The system provides continuous audio feedback by monitoring for anomalies and notifying users through multiple channels (visual notifications, audible alerts). This feedback loop ensures users are reliably informed of their actual audio transmission status and any detected anomalies, resolving the issue of overlooked or confusing visual indicators.
Solution Approach 2:
The system automatically detects audio anomalies and performs remedial actions without requiring users to manually check multiple mute controls. The anomaly detection system self-monitors audio input and autonomously notifies or mutes the user, eliminating confusion from redundant mute functionalities.
2Adaptability or versatility
If multiple mute controls are provided across different levels (device, application), then comprehensive mute control is achieved, but users may be confused about which control is actually active
Solution Approach 1:
The system merges the functionality of multiple mute controls by implementing a unified anomaly detection mechanism that monitors audio input regardless of which mute control level is active. This consolidation approach maintains comprehensive control coverage while eliminating the need for users to understand or manage multiple separate controls.
Solution Approach 2:
The anomaly detection system serves multiple functions simultaneously: it detects when audio should be muted, identifies the actual transmission status, and triggers appropriate remedial actions. This multi-functional approach replaces the need for separate mute controls at different levels with a single universal detection system.
3Reliability
If the system continuously monitors audio input for anomalies, then unintended audio transmission can be detected, but this requires constant processing of audio data
Solution Approach 1:
The system applies partial monitoring by focusing detection efforts on specific anomaly indicators rather than analyzing every aspect of audio input continuously. The anomaly detection targets particular patterns (unexpected speech, background noises) that indicate unintended transmission, reducing processing requirements while maintaining reliable detection.
Data Source
AI summary
One embodiment provides a method, including: receiving, at an input device associated with an information handling device, audio input; determining, using a processor, that an audible anomaly exists in the audio input, wherein the audible anomaly corresponds to a deviation from an established speech input pattern of a user; and performing, responsive to determining that the audible anomaly exists in the audio input, a remedial action to address the audible anomaly. Other aspects are described and claimed.


