Wearable Sound Detector Microphone Arrangement
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing particular-sound detection technologies face challenges in achieving sufficient detection performance due to microphone arrangement and placement, often resulting in false detection of non-target sounds, especially when multiple individuals are present.
Innovation Solution
The use of multiple microphones strategically arranged around a wearable device, with at least two microphones equidistant from the sound source and additional microphones positioned at predetermined locations, such as left, right, bottom, and top, to differentiate between the sound of the wearer and other individuals or environmental sounds, employing machine learning-based detectors to enhance detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple microphones are used for particular-sound detection, then detection performance is improved, but device complexity increases
Solution Approach 1:
The detection system is segmented into multiple independent microphone channels, each capturing sound from different spatial positions. The microphones are arranged in specific geometric patterns (equidistant from sound source, predetermined positions) to create distinct acoustic signatures for different sound sources. This segmentation allows the system to analyze spatial relationships between multiple microphones to differentiate target sounds from background noise, thereby improving detection performance while maintaining manageable device complexity through systematic spatial arrangement.
2Measurement precision
If microphones are arranged to detect particular sounds accurately, then detection precision is improved, but false detection of non-target sounds increases
Solution Approach 1:
The microphone arrangement employs asymmetric positioning relative to the wearable device and sound source. Two microphones are placed equidistant from the sound source while a third microphone is positioned at a predetermined location that creates an asymmetric acoustic field. This asymmetric arrangement generates unique sound pressure level patterns for different sound sources, allowing the system to distinguish target sounds from non-target sounds based on their spatial acoustic characteristics, thereby reducing false detection while maintaining high detection precision.
Solution Approach 2:
The system utilizes feedback from multiple microphone channels to continuously monitor and analyze sound pressure level relationships. By comparing the acoustic signals from different microphone positions, the system can identify patterns consistent with target sounds versus non-target sounds. This feedback mechanism enables real-time adjustment and verification of detection accuracy, reducing false detection by validating sound source identification against multiple spatial reference points.
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 configuration significantly reduces false detection and improves the overall performance of particular-sound detection by utilizing the differences in sound pressure levels across multiple microphones, allowing for accurate identification of target sounds amidst ambient noise.
Implementation Method 1
utilizing the differences in sound pressure levels across multiple microphones, allowing for accurate identification of target sounds amidst ambient noise
Data Source
AI summary
The present technology relates to a particular-sound detector and method, and a program that make it possible to improve the performance of detecting particular sounds.The particular-sound detector includes a particular-sound detecting section that detects a particular sound on a basis of a plurality of audio signals obtained by collecting sounds by a plurality of microphones provided to a wearable device. In addition, the plurality of the microphones includes two microphones that are equidistant at least from a sound source of the particular sound, and one microphone arranged at a predetermined position. The present technology can be applied to headphones.


