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Smart Test Method for Noise Canceling Headphones

A technology of noise reduction earphones and testing methods, which is applied in neural learning methods, earpiece/earphone accessories, earphones to reduce environmental noise, etc., can solve the problems of low testing and efficiency, high production costs, etc., and achieve the effect of high testing and adjustment efficiency

Active Publication Date: 2022-03-29
广东声强科技有限公司
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  • Application Information

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Problems solved by technology

Its testing and efficiency are low, resulting in high production costs

Method used

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  • Smart Test Method for Noise Canceling Headphones

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Embodiment Construction

[0010] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0011] Such as figure 1 Shown, the intelligent testing method of noise reduction earphone of the present invention comprises the following steps; A. selected standard sample earphone, measures its noise reduction filter curve and frequency response curve as target noise reduction filter curve and frequency response curve; B. .Sampling samples to form the earphone set to be tested, randomly divide the earphone set to be tested into at least fifty first-level groups, and divide each first-level group into at least fifty second-level groups; C. Measure the noise reduction filter of the earphone to be tested curve and frequency response curve as the noise reduction filter curve and frequency response curve of the product sample; D. compare the noise reduction filter curve and frequency response curve of the product sample with the target noise reduction filter curve and ...

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Abstract

The present invention relates to the technical field of ANC earphone production testing, in particular to an intelligent test method for noise-reducing earphones, comprising the following steps: A. Obtaining target noise-reduction filter curves and frequency response curves; B. Sampling samples to form earphone sets to be tested; C. Obtain the noise reduction filter curve and frequency response curve of the product sample; D. Obtain the fine-tuning parameters of the noise reduction filter and the frequency response for fitting the earphone of the sample to be tested; E. Obtain the first-order equation and the second-order equation; F. Perform functional regression analysis on the secondary fine-tuning parameters to obtain the noise reduction filter and the frequency response fine-tuning equation for adjusting the earphones to be adjusted; the intelligent test method of the noise-reduction earphones of the present invention, based on sample sampling statistical analysis, draws the curve The adjustment equation automatically selects the fitting adjustment equation of a certain sample group according to the curve parameter difference, and the test adjustment efficiency is high.

Description

technical field [0001] The invention relates to the technical field of production and testing of ANC earphones, in particular to an intelligent testing method for noise-canceling earphones. Background technique [0002] In the production test phase of the existing active noise reduction headphones, the noise reduction filter curve and frequency response curve need to be tested and adjusted to obtain better sound effects. In the existing technology, the curves are tested one by one for the headphones, and the The difference from the target curve is adjusted individually for each earphone. Its testing and efficiency are low, resulting in high production costs. Contents of the invention [0003] The purpose of the present invention is to provide a kind of deficiencies in the prior art. [0004] In order to achieve the above object, the intelligent testing method of the noise reduction earphone of the present invention comprises the following steps; A. select the standard sa...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04R29/00H04R1/10G10K11/175G10K11/178G10L21/0208G10L25/30G06N3/08
CPCH04R29/001H04R1/1083G10K11/175G10K11/17853G10L21/0208G10L25/30G06N3/08
Inventor 邓文武
Owner 广东声强科技有限公司
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