Automated Buzz Detection in Sound Playing Devices
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Solution Overview
Problem
Conventional methods for testing sound playing devices for buzz are subjective and rely on human hearing, leading to inconsistent results and potential hearing damage, necessitating an automated solution for improved efficiency and accuracy.
Innovation Solution
An automated buzz detecting method and system that uses an audio processing device to output baseband signals of varying frequencies to a sound playing device, converts the resulting sound signals into frequency-domain signals through Fourier transform, calculates noise ratios, and compares them to standard ratios to determine if a buzz is present, eliminating the need for trained testers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual hearing testing is used to detect buzz in sound playing devices, then the testing can be performed with simple equipment, but the testing results are subjective and inconsistent due to differences in tester experience and body conditions
Solution Approach 1:
The patent replaces the human hearing system (mechanical/biological) with an automated instrument system consisting of audio processing device, sound receiving device, and application program module. This substitution eliminates subjectivity in buzz detection while maintaining measurement capability through objective acoustic analysis.
Solution Approach 2:
The patent introduces an intermediary automated testing system that mediates between the sound playing device under test and the evaluation process. The audio processing device, sound receiving device, and Fourier transform algorithm act as intermediaries to objectively measure and analyze acoustic signals, replacing direct human perception.
2Reliability
If manual hearing testing is used to detect buzz in sound playing devices, then the equipment required is simple, but the hearing system of the tester may be hurt after intensive stimulation for a long time
Solution Approach 1:
The patent replaces the human hearing system with an automated instrument system that can continuously operate without risk of hearing damage. The audio processing device and sound receiving device can handle intensive acoustic stimulation indefinitely, eliminating the safety constraint while maintaining or improving testing throughput.
3Productivity
If automated testing with instruments is used to detect buzz in sound playing devices, then testing efficiency is improved and hearing damage is prevented, but the system complexity increases
Solution Approach 1:
The patent employs universal components (audio processing device, sound receiving device, Fourier transform algorithm) that can test multiple types of sound playing devices for buzz detection. This multi-functionality justifies the system complexity by enabling efficient, standardized testing across different product lines without requiring separate specialized equipment for each device type.
4Measurement precision
If manual hearing testing is used to detect buzz in sound playing devices, then the testing procedure is simple to implement, but the judgment about testing results lacks objectivity and consistence
Solution Approach 1:
The patent replaces the subjective human judgment process with an objective automated analysis system. The application program module performs Fourier transform on the acoustic signals and compares noise ratios against reference values, providing consistent and objective testing results free from human bias, experience differences, or fatigue effects.
Data Source
AI summary
A buzz detecting method and a buzz detecting system are provided for testing whether an under-test sound playing device generates a buzz while playing sound. By an application program module, plural under-test sound signals from the under-test sound playing device are converted into plural under-test frequency-domain signals corresponding to the under-test sound signals through Fourier transform. Moreover, the application program module calculates plural under-test noise ratios corresponding to the frequencies of respective under-test sound signals according to respective under-test frequency-domain signals. After the plural under-test noise ratios are compared with plural standard noise ratios from a standard sound playing device, the application program module may automatically judge whether the under-test sound playing device generates a buzz while playing sound. Since the testing procedure does not need to be implemented by the trained testers, the overall efficiency is largely enhanced.