Microphone Gain Compensation for Reliable Wake Word Recognition
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Solution Overview
Problem
Conventional techniques fail to protect Wake Word Recognizers (WWRs) from user-controlled microphone gain and boost changes, leading to suboptimal signal levels and potential misactivation of voice-enabled devices.
Innovation Solution
An automatic gain adjustment mechanism that compensates for microphone gain, boost, and mute settings using detection and observation logic, gain/boost adjustment logic, and mute enforcement, ensuring optimal signal levels for WWRs by applying gain compensation formulas based on current settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If user-controlled microphone gain and boost settings are allowed to change freely, then ease of operation is improved, but wake word recognition accuracy deteriorates
Solution Approach 1:
The audio signal processing path is segmented into separate channels: one channel for wake word recognition that bypasses user-controlled gain and boost settings, and another channel for general audio processing that accepts user adjustments. This segmentation allows wake word recognition to maintain signal integrity while users can still control microphone settings for other audio functions.
Solution Approach 2:
An intermediary gain adjustment mechanism is introduced that operates between the user-controlled gain settings and the wake word recognizer. This intermediary layer applies compensatory gain adjustments based on detected settings, effectively mediating between user control needs and recognition accuracy requirements by calculating and applying the necessary gain compensation to maintain optimal signal levels for wake word detection.
2Device complexity
If conventional techniques are used without gain compensation, then device complexity is reduced, but wake word recognition performance deteriorates
Solution Approach 1:
The system implements self-service through automatic detection and compensation of microphone gain and boost settings. The detection and observation logic continuously monitors the audio processing pipeline for gain changes, and the gain adjustment logic automatically applies compensatory adjustments without requiring manual intervention or complex configuration, thereby maintaining recognition performance while keeping the system relatively simple.
Solution Approach 2:
A feedback mechanism is implemented where the system continuously monitors microphone gain and boost settings, detects deviations from optimal signal levels, and automatically applies compensatory gain adjustments. This closed-loop feedback system ensures wake word recognition performance is maintained despite changes in user-controlled settings, with the feedback flowing from detection logic through to gain adjustment logic.
Data Source
AI summary
A mechanism is described for facilitating automatic gain adjustment in audio systems according to one embodiment. A method of embodiments, as described herein, includes determining status of one or more of gain settings, mute settings, and boost settings associated with one or more microphones based on a configuration of a computing device including a voice-enabled device. The method may further comprise recommending adjustment of microphone gain based on the configuration and the status of one or more of the gain, mute, and boost settings, and applying the recommended adjustment of the microphone gain.