Speaker abnormal sound detecting method based on short-time Fourier transformation

A short-time Fourier, detection method technology, applied in electrical components and other directions, can solve the problems of low accuracy, different judgment standards, slow speed, etc., to achieve the effect of wide application

Inactive Publication Date: 2014-01-29
ZHEJIANG ELECTRO ACOUSTIC R&D CENT CAS +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0010] What the present invention aims to solve is the problem that the existing method for detecting abnormal sound of loudspeakers is sl

Method used

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  • Speaker abnormal sound detecting method based on short-time Fourier transformation
  • Speaker abnormal sound detecting method based on short-time Fourier transformation
  • Speaker abnormal sound detecting method based on short-time Fourier transformation

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Embodiment Construction

[0048] Specific embodiments of the present invention will be described below in conjunction with the accompanying drawings.

[0049] Establish figure 1 In the detection system shown, the computer outputs an excitation signal through a professional sound card to stimulate the speaker under test, and after obtaining the sound signal from the speaker through the microphone, follow the figure 2 The signal processing flow shown in the figure processes the sound signal. The main process is: using the short-time Fourier transform to transform the response signal collected by the professional sound card into a time-frequency diagram, and according to the measured speaker stored in the tested speaker database. According to the characteristics of the abnormal sound signal, the time-frequency diagram is effectively segmented. Then, the degree of difference between each segmented area and each area corresponding to the standard time-frequency diagram is quantified, and the display mode...

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Abstract

The invention provides a speaker abnormal sound detecting method based on short-time Fourier transformation. A to-be-detected speaker is stimulated by swept-frequency signals, sound response signals of the to-be-detected speaker are collected, and the short-time Fourier transformation is performed on the sound response signals to obtain the time frequency picture corresponding to the sound response signals. The time frequency picture is segmented according to the features of speaker abnormal sound signals, the difference degree of each segmented area and the area corresponding to the standard time frequency is quantified, and display mode conversion is performed on the obtained difference degree to construct the abnormal sound curve. The abnormal sound curve is compared with the set threshold so as to judge whether abnormal sounds occur in the speaker. The threshold is the abnormal sound curve constructed by M times of the largest difference degree of the good time frequency picture and the standard time frequency picture.

Description

technical field [0001] The invention belongs to the application field of electroacoustic technology. It proposes a short-time Fourier transform-based loudspeaker abnormal sound detection method, which can replace the current subjective judgment method relying on manual inspection, so as to improve the quality level of factory production line control loudspeakers. Background technique [0002] Significance of speaker abnormal sound detection: [0003] During the production process of the speaker, due to assembly errors, impurities mixed in, etc., the sound of the speaker is different from that of the qualified speaker, which is called abnormal sound of the speaker. Loudspeaker abnormal sound detection is the process of screening out speakers with abnormal sound. This process is an important part of quality control, and the results of its testing will directly affect the quality of product shipments. At present, the detection method of loudspeaker abnormal sound mainly relie...

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Application Information

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IPC IPC(8): H04R29/00
Inventor 李宏斌温周斌徐楚林计敏君金晶
Owner ZHEJIANG ELECTRO ACOUSTIC R&D CENT CAS
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