Earbud Position Detection via Speech Vibration for Microphone Selection
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Solution Overview
Problem
Existing audio devices face challenges in accurately determining whether earbuds are positioned in a user's ears, leading to suboptimal microphone selection for beamforming, especially in varying environmental conditions and user orientations.
Innovation Solution
The solution involves detecting user speech vibrations using both microphones and accelerometers in the earbuds, employing voice activity detection (VAD) and normalized cross-correlation techniques to determine earbud position, and selectively choosing microphones for beamforming based on this information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If gravitational-based detection methods are used to determine earbud position, then the device complexity is reduced, but the measurement precision deteriorates due to errors in varying user orientations
Solution Approach 1:
The patent replaces gravitational-based mechanical detection with voice vibration detection using accelerometers. Instead of relying on gravity direction to infer earbud position, the system detects vibrations caused by user speech at the accelerometers in the earbuds. This substitution eliminates orientation-dependent errors while maintaining relatively simple device architecture.
Solution Approach 2:
The patent changes the detection parameter from gravitational force direction to vibration frequency and amplitude characteristics. By analyzing voice-induced vibrations at the accelerometers, the system can determine earbud position independent of user orientation, thereby improving measurement precision without significantly increasing device complexity.
2Device complexity
If all microphones are used for beamforming regardless of earbud position, then the device complexity is reduced, but the signal-to-noise ratio deteriorates due to inclusion of inappropriate microphones
Solution Approach 1:
The patent implements dynamic microphone selection based on real-time earbud position detection. The system continuously monitors accelerometer data to determine which earbuds are properly positioned in the user's ears, and dynamically adjusts which microphones are activated for beamforming. This dynamic adaptation improves signal-to-noise ratio by ensuring only appropriate microphones are used, while the complexity increase is managed through algorithmic control rather than additional hardware.
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
This approach enhances the accuracy of user voice detection and beamforming by ensuring that only the appropriate microphones are used, improving signal-to-noise ratio and reducing errors associated with gravitational-based detection methods.
Implementation Method 1
detecting a user's voice at microphones and accelerometers of the headset... detecting user speech vibrations in accelerometers in the earbuds
Implementation Method 2
detecting user speech vibrations at the microphones... microphone based voice activity detection (VAD)
Data Source
AI summary
Embodiments of the invention determine whether speaker earbuds of a headset are positioned in a user's ears. The headset may be a “Y” shaped headset with two earbuds having speakers and a plug for insertion into a jack of the audio device. Multiple microphones are located on wired lengths to the earbuds and a common wire between the lengths and the plug, to receive speech from the user's mouth. Each earbud may have a front and rear microphone, and an accelerometer. Embodiments can detect user speech vibrations at one or more of the microphones, and in the accelerometers in the earbuds. Based on these detections, it can be determined whether one or both of the earbuds are in user's ears. To provide more accurate beamforming, when only one of the earbuds is in the user's ears, only the microphones leading to that earbud are selected for beamforming input.


