Dual Microphone Whistle Detection via Amplitude Comparison
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Solution Overview
Problem
Existing systems for detecting a referee's whistle in sporting events face challenges with distant whistles or ambient noises, leading to non-detections or untimely detections, as they struggle to accurately differentiate between nearby and distant sounds.
Innovation Solution
The method involves installing first and second microphones on the referee, with the second microphone further away, analyzing their signals to determine if a sound is ambient or comes from the whistle by comparing amplitudes and determining if the difference exceeds a predefined threshold, allowing for distinction between nearby and distant sounds without using propagation times or complex spectral analyses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single microphone is used to detect the whistle, then the device complexity is low, but the reliability of whistle detection deteriorates due to inability to distinguish ambient noises
Solution Approach 1:
The detection system is segmented into two independent microphone channels, each capturing audio signals from different spatial positions. The first microphone is positioned near the referee's mouth to capture whistle sounds, while the second microphone is positioned away to capture ambient noises. This segmentation allows the system to compare signals from different locations and reliably distinguish whistle sounds from ambient noises through amplitude comparison.
2Measurement precision
If complex spectral analysis is used to distinguish ambient sounds from whistle sounds, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
Instead of using complex spectral analysis, the invention changes the analysis parameter to amplitude comparison. By comparing the amplitudes of signals from two microphones positioned at different distances from potential sound sources, the system achieves accurate sound source identification through a simple parameter-based differentiation method that avoids complex computational analysis.
3Measurement precision
If propagation time analysis is used to determine sound origin, then the measurement precision improves, but the device complexity and computational requirements increase
Solution Approach 1:
The invention replaces propagation time analysis with amplitude-based detection. By positioning microphones at different distances from the referee and comparing signal amplitudes, the system determines sound origin through a simpler parameter that does not require precise timing measurements or complex computational processing, thereby reducing device complexity while maintaining detection accuracy.
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 reliability of whistle detection by distinguishing between nearby whistle sounds and ambient noises effectively, improving accuracy and reducing false detections, while maintaining simplicity in analysis.
Implementation Method 1
a microphone can be any acoustic-electric transducer
Data Source
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AI summary
The invention relates to a method for detecting a whistle from a referee (106) at a sporting event, comprising: - the installation of first and second microphones (112, 113) on the referee (106) so that, when the referee (106) uses a whistle (104), the second microphone (113) is further from the whistle (104) than the first microphone (112); and - the analysis of first and second signals (S1, S2) respectively provided by first and second microphones (112, 113), to determine whether a perceived sound is ambient or may originate from the whistle (104).