Sound Source Localization via High Frequency Ratio Analysis
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Solution Overview
Problem
Monitoring systems face challenges in accurately locating sound sources and controlling cameras to capture images of these sources in real-time, especially in complex environments with multiple sound sources and obstructions.
Innovation Solution
A sound source locating method and system that uses two audio sensors to detect sound signals, convert them into the frequency domain, determine high frequency ratios, and calculate the direction of the sound source, allowing for precise positioning and camera control to capture relevant images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional sound source locating methods are used in monitoring systems, then the system can detect sound signals, but the accuracy of locating sound sources in complex environments with multiple sound sources and obstructions deteriorates
Solution Approach 1:
The patent extracts and analyzes only the high frequency components of sound signals by converting from time domain to frequency domain. This extraction of high frequency ratios allows the system to focus on specific signal characteristics that are less affected by environmental interference and multiple sound sources, thereby improving location accuracy in complex environments
Solution Approach 2:
The patent replaces traditional time-domain signal processing with frequency-domain analysis. By using Fast Fourier Transform (FFT) to convert sound signals from time domain to frequency domain, the system substitutes mechanical/time-based detection with spectral analysis, enabling more accurate sound source localization by examining frequency characteristics rather than temporal patterns alone
2Productivity
If real-time sound source locating and camera control are implemented, then monitoring efficiency improves, but system complexity increases
Solution Approach 1:
The patent integrates multiple functions into a unified system: audio sensors detect sound, the processor performs frequency domain conversion and high frequency ratio calculation, and the camera captures images based on calculated directions. This multi-functional integration allows real-time sound source locating and automatic image capture without requiring separate complex systems for each function, thereby improving monitoring efficiency while managing system complexity
Solution Approach 2:
The system automatically processes sound signals in real-time, calculates sound source directions, and triggers camera capture without human intervention. The automated pipeline from sound detection to image capture enables the system to serve itself in real-time monitoring tasks, improving productivity by eliminating manual operation requirements
Data Source
AI summary
A method and system for locating a sound source are provide. The method may include detecting a sound signal of a sound by each of two audio sensors. The method may also include converting the sound signals detected by the two audio sensors from a time domain to a frequency domain. The method may further include determining a high frequency ratio of each of the sound signals in the frequency domain. The method may further include determining a direction of the sound source based on the high frequency ratios.