Smart Speaker Microphone Defect Detection Using Ambient White Noise
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Solution Overview
Problem
Current methods for testing smart speakers separately for microphones and loudspeakers result in inaccurate results due to added structures affecting microphone consistency when the speaker is assembled, leading to inconsistent and inaccurate acoustic quality assessments.
Innovation Solution
A method and apparatus for testing a completed smart speaker by recording audio data in ambient white noise and analyzing it to determine microphone defects, including hardware and software issues, and assessing acoustic parameters like harmonic distortion, ensuring consistent and accurate testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If separate testing of microphone and loudspeaker is performed, then testing efficiency is improved, but measurement precision deteriorates due to structural interference
Solution Approach 1:
The patent merges the separate testing processes into a unified integrated testing system that simultaneously evaluates both the microphone and loudspeaker within the complete smart speaker assembly. This allows the testing to account for structural interference effects while maintaining efficient batch testing capability.
2Measurement precision
If integrated testing of completed speaker is performed, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The testing system is designed with multi-functionality to handle various testing requirements within a single integrated platform. It can perform both microphone consistency testing and loudspeaker acoustic quality assessment simultaneously, reducing the need for multiple separate testing devices and procedures.
3Measurement precision
If ambient white noise recording is used, then measurement precision is improved, but loss of information increases due to noise interference
Solution Approach 1:
The system converts the harmful ambient white noise into a beneficial testing tool by using it as a reference signal to verify microphone consistency. The known characteristics of white noise allow the system to distinguish between actual microphone defects and normal environmental variations, thereby improving measurement precision while accounting for noise interference.
Data Source
AI summary
The present disclosure discloses a method and an apparatus for testing a speaker, an electronic device and a storage medium. A specific implementation includes: obtaining first audio data recorded by a microphone integrated with the speaker in ambient white noise; analyzing the first audio data to derive a first analysis result; and determining whether there is a defect in the microphone according to the first analysis result. Hence, these allow for testing a completed set on an assembled speaker to ensure the consistency of a microphone test and improve the accuracy of the test result.