CN103581819A - Microphone detection method - Google Patents
Microphone detection method Download PDFInfo
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- CN103581819A CN103581819A CN201210275196.6A CN201210275196A CN103581819A CN 103581819 A CN103581819 A CN 103581819A CN 201210275196 A CN201210275196 A CN 201210275196A CN 103581819 A CN103581819 A CN 103581819A
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Abstract
The invention discloses a microphone detection method. A microphone to be detected and a reference microphone are used for receiving sound waves from a loudspeaker respectively and generating a first feature point distribution graph and a second feature point distribution graph respectively. The first feature point distribution graph and the second feature point distribution graph respectively comprise multiple feature points corresponding to a frequency quantization numerical value. The quality of the microphones is judged by comparing the quantity variance of the feature points of the first feature point distribution graph and the feature points of the second feature point distribution graph in a specific frequency quantization numerical interval. The microphone detection method can be directly used for detection in an open field, after manufacturing is finished on a production line, products are not needed to be moved to an anechoic room any more, and detection can be rapidly and immediately performed beside the production line. Thus, the overall efficiency is greatly improved.
Description
Technical field
The present invention is about a kind of microphone detection method, and particularly about under a kind of situation existing at the noise of having powerful connections, still can accurately judge the microphone detection method of microphone quality.
Background technology
Along with the quick evolution of audio-visual technology, at present the range of application of microphone is very extensive on the market, similarly is camera with recording device, network camera and Headphone device etc. such as, and the related microphone that is provided with in the lump conventionally, to carry out the action of radio reception.
In order to maintain the product quality of microphone, before shipment, conventionally can do quality management to microphone, normally by detecting instrument, microphone is carried out and measured, to obtain, detect data and detection waveform.Thereafter, then by measurement and detection data and detection waveform and storage in advance in the normal data and the reference waveform that are built in detecting instrument compare.
Therefore yet factory is an open place, microphone is a radio equipment, no matter be the background noises such as machine operation in factory or noisy voice, is all difficult to can by microphone, be included in the lump with avoiding.Thus, in factory to the measured test data of microphone and test waveform, will be test data and the test waveform that comprises background noise, therefore, if accordingly to compare with normal data and reference waveform, and unreasonable, because its test data and test waveform are not simple, react the quality of microphone own, but also comprised the noises such as background noise.
Furthermore, because normal data and reference waveform are built in advance in the middle of detecting instrument, therefore certainly cannot learn the annoyance level of background noise to test microphone instantly, thus, take test waveform and reference waveform to compare also unreasonable, therefore the radio reception quality that reflects microphone that this is incorrect, cannot tell the difference of non-defective unit and defective products really.
Therefore, avoid said circumstances if want, manufacturer must additionally set up an anechoic chamber, and anechoic chamber is a sound insulation test zone independently, and makes microphone in anechoic chamber, carry out radio reception, then makes comparisons with a reference waveform, to find out the microphone of bad quality again.Yet also additionally labor intensive and time cost are the transporting of microphone, unsatisfactory for these; In addition, the cost of anechoic chamber is high, must make cost significantly improve.
In view of this, providing a kind of microphone detection method, even if in the open factory of the noise of having powerful connections, also can detect exactly bad microphone, and then improve detection efficiency, is to be industry problem demanding prompt solution.
Summary of the invention
Main purpose of the present invention is to provide a kind of microphone detection method, it utilizes the extra colory reference microphone of a calibrating to do radio reception with microphone to be measured simultaneously, therefore two microphones are measured respectively two waveforms, then carry out the converted two characteristic point distribution patterns of function, by comparing in two characteristic point distribution patterns, the difference of characteristic point in characteristic frequency quantized values interval, to judge that whether microphone to be measured is as non-defective unit.
Another object of the present invention is to provide a kind of microphone detection method, comprise the following steps: that (a) provides a microphone to be measured, a reference microphone and a processing unit, this microphone to be measured and this reference microphone divide level signal to be connected in this processing unit; (b) provide a loud speaker, make this microphone to be measured and this reference microphone receive the sound wave that this loud speaker sends; Wherein, this microphone to be measured receives this sound wave and produces one first digital signal to this processing unit, and this reference microphone receives this sound wave and produces one second digital signal to this processing unit, wherein, this processing unit produces a First Characteristic point distribution pattern according to this first digital signal, and produce a Second Characteristic point distribution pattern according to this second digital signal, and this First Characteristic point distribution pattern and this Second Characteristic point distribution pattern comprise respectively a plurality of characteristic points, and the corresponding frequency quantized values of each this characteristic point; And (c) characteristic point quantity variance in a characteristic frequency quantized values interval of this First Characteristic point distribution pattern and this Second Characteristic point distribution pattern and judge the quality of this microphone to be measured relatively; Wherein, when this characteristic point quantity variance is less than a predetermined value, judge that this microphone to be measured is as a non-defective unit, and when this characteristic point quantity variance is greater than a predetermined value, judge that this microphone to be measured is as a defective products.
In a preferred embodiment, wherein this processing unit comprises a chip module and an application program module, in step (b), comprise the steps: that (b1) makes this chip module receive this first digital signal and be sent to this application program module to produce one first waveform, and this first waveform is carried out to function and change to produce this First Characteristic point distribution pattern.
In a preferred embodiment, wherein after step (b1), also comprise the steps: that (b2) makes this chip module receive this second digital signal and be sent to this application program module to produce one second waveform, and this second waveform is carried out to function and change to produce this Second Characteristic point distribution pattern.
In a preferred embodiment, this function is converted to fourier transform (Fourier Transform) or wavelet conversion (Wavelet Transform).
In a preferred embodiment, this frequency of sound wave that this loud speaker is launched is 1kHz.
The microphone detection method of this case can directly detect in an open place, similarly is production plant, thus on production line after manufacture completes, product needn't be moved to anechoic chamber again, but can in production line, detect rapidly on one side immediately, thus, significantly improved whole efficiency.
Accompanying drawing explanation
Fig. 1 is the block schematic diagram of microphone detection method of the present invention.
Fig. 2 is the flow chart of microphone detection method of the present invention.
Fig. 3 is the first waveform coordinate figure of the microphone to be measured of microphone detection method of the present invention.
Fig. 4 is the First Characteristic point distribution pattern of microphone detection method of the present invention.
Fig. 5 is the second waveform coordinate figure of the reference microphone of microphone detection method of the present invention.
Fig. 6 is the Second Characteristic point distribution pattern of microphone detection method of the present invention.
Wherein, description of reference numerals is as follows:
1: loud speaker
21: microphone to be measured
210: the first digital signals
22: reference microphone
220: the second digital signals
3: processing unit
36: chip module
37: application program module
41: the first waveforms
42: the second waveforms
51: First Characteristic point distribution pattern
52: Second Characteristic point distribution pattern
S1～S3: step
P: the characteristic point on First Characteristic point distribution pattern
P1～P12: First Characteristic point distribution pattern frequency quantizes value bit in 0.4～0.6 characteristic point
P ': the characteristic point on Second Characteristic point distribution pattern
P ' 1: Second Characteristic point distribution pattern frequency quantizes value bit in 0.4～0.6 characteristic point
Embodiment
Need first expositor, the disclosed microphone detection method of the present invention, not for another example tradition to be subject to environment limitation similarly be to carry out in enclosed anechoic chamber environment, in other words, the disclosed microphone detection method of the present invention can be under the general open environment that has background noise (such as: in carrying out the factory building of manufacturing), carry out the Quality Detection of microphone.
Refer to Fig. 1, it is the block schematic diagram of microphone detection method of the present invention; Fig. 2 is the flow chart of microphone detection method of the present invention.Please refer to Fig. 1 and Fig. 2.In step S1, first, provide a microphone 21 to be measured, a reference microphone 22 and a processing unit 3.22 minutes level signals of microphone 21 to be measured and reference microphone are connected in processing unit 3.Wherein, microphone 21 to be measured is quality new microphone finished product to be detected, for example, such as just completed the microphone of making on production line, as for 22 of reference microphone, is former through the colory microphone of calibrating.Whether this case makes microphone to be measured 21 and reference microphone 22 carry out radio reception action in the same time of same environment, and then for this, both radio reception contents are made comparisons, to differentiate microphone 21 to be measured, can reach with reference microphone 22 and have the same radio reception level.
Then, a loud speaker 1 is provided in step S2 and makes loud speaker 1 send a sound wave towards microphone 21 to be measured and reference microphone 22, so that microphone to be measured 21 and reference microphone 22 receive this sound wave.In an embodiment, the sound wave that this sound wave is fixed frequency, such as the sound wave of 1k frequency, but is not limited to this frequency.
Fig. 3 is the first waveform coordinate figure of the microphone to be measured of microphone detection method of the present invention; Fig. 4 is the First Characteristic point distribution pattern of microphone detection method of the present invention.Please refer to Fig. 1 to Fig. 4.Wherein, microphone 21 to be measured produces one first digital signal 210 to processing unit 3 by receiving this sound wave, and processing unit 3 produces a First Characteristic point distribution pattern 51 according to the first digital signal 210.Similarly, refer to Fig. 5 and Fig. 6, Fig. 5 is the second waveform coordinate figure of the reference microphone of microphone detection method of the present invention; Fig. 6 is the Second Characteristic point distribution pattern of microphone detection method of the present invention.Wherein, reference microphone 22 receives sound wave and produces one second digital signal 220 to this processing unit 3, and processing unit 3 produces a Second Characteristic point distribution pattern 52 according to the second digital signal 220.
The person of connecing, describes in detail the generation type of the First Characteristic point distribution pattern 51 of this case and Second Characteristic point distribution pattern 52.Please refer to Fig. 1 to Fig. 6, specifically, processing unit 3 comprises a chip module 36 and an application program module 37.Chip module 36 receives this first digital signal 210 and is sent to this application program module 37 to produce one first waveform 41, and as shown in Figure 3, the transverse axis of the first waveform 41 represents the time, and the longitudinal axis represents frequency.Thereafter, this first waveform 41 is carried out to function conversion, to produce, can be made for identification and a plurality of characteristic point P relatively, produce as the First Characteristic point distribution pattern 51 of Fig. 4, its transverse axis represents each characteristic point, and the longitudinal axis represents frequency quantized values; In other words, each characteristic point on First Characteristic point distribution pattern 51 corresponds respectively to a frequency quantized values.Similarly, chip module 36 receives the second digital signal 220 and is sent to application program module 37 to produce one second waveform 42, and as shown in Figure 5, the transverse axis of the second waveform 42 represents the time, and the longitudinal axis represents frequency; Thereafter, this second waveform 42 is carried out to function conversion, to produce, can be made for identification and a plurality of characteristic point P ' relatively, produce as the Second Characteristic point distribution pattern 52 of Fig. 6, its transverse axis represents each characteristic point, and the longitudinal axis represents frequency quantized values; Also, each characteristic point on Second Characteristic point distribution pattern 52 corresponds respectively to a frequency quantized values.
In this, need first expositor to be, the mode that function is changed can be changed into fourier transform (Fourier Transform), wavelet conversion (Wavelet Transform) or other function that a time-domain of the resulting waveform of microphone can be converted to frequency domain, design like that, all belongs in the category of the possible application of this case.
Subsequently, execution step S3.In step S3, compare First Characteristic point distribution pattern 51 and the characteristic point quantity variance of Second Characteristic point distribution pattern 52 in a characteristic frequency quantized values interval.Wherein, when the characteristic point quantity variance when is between the two less than a predetermined value, judge that microphone 21 to be measured is as a non-defective unit, and when characteristic point quantity variance is between the two greater than a predetermined value, judge that microphone 21 to be measured is as a defective products.
For example, please refer to Fig. 4 and Fig. 6, on the First Characteristic point distribution pattern 51 that Fig. 4 illustrates, include 50 characteristic point P, and these 50 characteristic point P each is own corresponding to the frequency quantized values on the longitudinal axis.Referring again to Fig. 6, on Second Characteristic point distribution pattern 52, also include 50 characteristic point P ', and these 50 characteristic point P ' also each is own corresponding to the frequency quantized values on the longitudinal axis.The person of connecing, it is discriminate interval that tester can specify the arbitrary characteristic frequency quantized values in two characteristic point distribution patterns interval, further calculate again in this discriminate interval the difference of the characteristic point quantity of First Characteristic point distribution pattern 51 and the characteristic point quantity of Second Characteristic point distribution pattern 52.For example, if the characteristic frequency quantized values interval of tester's appointment is between 0.4～0.6, and the difference of specific characteristic point quantity is for being less than or equal to 7 for non-defective unit, the difference of characteristic point quantity is for being greater than 7 for defective products, as shown in Fig. 4 and Fig. 6, on First Characteristic point distribution pattern 51, in frequency quantized values interval, be that characteristic point P between 0.4～0.6 has 12, it is denoted as respectively P1～P12, on Second Characteristic point distribution pattern 52, in frequency quantized values interval, be that characteristic point between 0.4～0.6 has one, it is denoted as P ' 1, both quantity differences are 11, difference is greater than 7, therefore we judge that this microphone 21 to be measured is defective products in this exemplifies.Certainly, above-mentioned characteristic frequency quantized values interval and the difference of characteristic point quantity can convert, and in this one exemplifying for convenience of description only, are not restricted.
In sum, the disclosed microphone detection method of the present invention, utilize an other reference microphone to do radio reception with microphone to be measured simultaneously, by both being recorded to content, do corresponding comparison, make testing result can not be subject to the interference of the background noises such as machine operation or noisy voice and have error.Therefore the microphone detection method of this case can directly detect in an open place, similarly is production plant, thus on production line after manufacture completes, product needn't be moved to anechoic chamber again, but can in production line, detect rapidly on one side immediately, thus, significantly improved whole efficiency.
Only the foregoing is only preferred embodiment of the present invention, be non-ly intended to limit to scope of patent protection of the present invention, therefore such as use the equivalence that specification of the present invention and graphic content are done to change, be all in like manner all included in the scope of the present invention, close and give Chen Ming.
Claims (5)
1. a microphone detection method, comprises the following steps:
(a) provide a microphone to be measured, a reference microphone and a processing unit, this microphone to be measured and this reference microphone divide level signal to be connected in this processing unit;
(b) provide a loud speaker, make this microphone to be measured and this reference microphone receive the sound wave that this loud speaker sends; Wherein, this microphone to be measured receives this sound wave and produces one first digital signal to this processing unit, and this reference microphone receives this sound wave and produces one second digital signal to this processing unit, wherein, this processing unit produces a First Characteristic point distribution pattern according to this first digital signal, and produce a Second Characteristic point distribution pattern according to this second digital signal, and this First Characteristic point distribution pattern and this Second Characteristic point distribution pattern comprise respectively a plurality of characteristic points, and the corresponding frequency quantized values of each this characteristic point; And
(c) characteristic point quantity variance in a characteristic frequency quantized values interval of this First Characteristic point distribution pattern and this Second Characteristic point distribution pattern and judge the quality of this microphone to be measured relatively; Wherein, when this characteristic point quantity variance is less than a predetermined value, judge that this microphone to be measured is as a non-defective unit, and when this characteristic point quantity variance is greater than a predetermined value, judge that this microphone to be measured is as a defective products.
2. microphone detection method as claimed in claim 1, wherein this processing unit comprises a chip module and an application program module, in step (b), comprises the steps:
(b1) make this chip module receive this first digital signal and be sent to this application program module to produce one first waveform, and this first waveform being carried out to function and change to produce this First Characteristic point distribution pattern.
3. microphone detection method as claimed in claim 2 wherein also comprises the steps: after step (b1)
(b2) make this chip module receive this second digital signal and be sent to this application program module to produce one second waveform, and this second waveform being carried out to function and change to produce this Second Characteristic point distribution pattern.
4. microphone detection method as claimed in claim 3, wherein this function is converted to fourier transform or wavelet conversion.
5. microphone detection method as claimed in claim 1, this frequency of sound wave that wherein this loud speaker is launched is 1kHz.
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| CN201210275196.6A CN103581819A (en) | 2012-08-03 | 2012-08-03 | Microphone detection method |
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| CN201210275196.6A CN103581819A (en) | 2012-08-03 | 2012-08-03 | Microphone detection method |
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| CN104105048A (en) * | 2014-07-17 | 2014-10-15 | 福建星网视易信息系统有限公司 | Detecting system, device and method for audio test of electronic device |
| CN104640055A (en) * | 2015-03-09 | 2015-05-20 | 歌尔声学股份有限公司 | Microphone testing method and testing system |
| CN104936124A (en) * | 2015-06-11 | 2015-09-23 | 科瑞自动化技术（苏州）有限公司 | Mounting sealing test device for microphone of notebook computer |
| CN109104684A (en) * | 2018-07-26 | 2018-12-28 | Oppo广东移动通信有限公司 | Microphone plug-hole detection method and Related product |
| CN110248264A (en) * | 2019-04-25 | 2019-09-17 | 维沃移动通信有限公司 | A kind of voice transmission control method and terminal device |
| CN111263284A (en) * | 2020-01-09 | 2020-06-09 | 河南讯飞智元信息科技有限公司 | Microphone fault detection method and device, electronic equipment and storage medium |
| CN114089168A (en) * | 2021-12-01 | 2022-02-25 | 亳州联滔电子有限公司 | Circuit board testing machine and circuit board testing method |
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| CN111263284A (en) * | 2020-01-09 | 2020-06-09 | 河南讯飞智元信息科技有限公司 | Microphone fault detection method and device, electronic equipment and storage medium |
| CN111263284B (en) * | 2020-01-09 | 2021-10-15 | 河南讯飞智元信息科技有限公司 | Microphone fault detection method and device, electronic equipment and storage medium |
| CN114089168A (en) * | 2021-12-01 | 2022-02-25 | 亳州联滔电子有限公司 | Circuit board testing machine and circuit board testing method |
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Application publication date: 20140212 |