CN109951349A - Microphone fault detection method and device, readable storage medium storing program for executing - Google Patents
Microphone fault detection method and device, readable storage medium storing program for executing Download PDFInfo
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- CN109951349A CN109951349A CN201910015813.0A CN201910015813A CN109951349A CN 109951349 A CN109951349 A CN 109951349A CN 201910015813 A CN201910015813 A CN 201910015813A CN 109951349 A CN109951349 A CN 109951349A
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- microphone
- audio data
- fault detection
- mass fraction
- detection method
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Abstract
A kind of microphone fault detection method and device, readable storage medium storing program for executing, the microphone fault detection method, comprising: obtain the collected audio data of microphone；Calculate the mass fraction of the audio data；When the mass fraction of the audio data is less than preset threshold, determine that there are failures for the microphone.Using the above scheme, the microphone failure on interactive terminal facility can be effectively detected out.
Description
Technical field
It is the invention belongs to technical field of intelligent equipment, in particular to a kind of microphone fault detection method and device, readable
Storage medium.
Background technique
Various interactive terminal facilities, such as interactive voice robot, intelligent sound box etc. on the market at present, be equipped with
The directly interactive audio data collecting equipment of user, such as microphone etc..And it is that assessment terminal is set that whether microphone is working properly
A standby whole whether normally important ring.
There are mainly two types of regular microphones inspection methods working properly: one is the recording that machine acquisition is listened in artificial sampling observation
It is whether normal, time-consuming and laborious and higher cost；Another kind is remotely to check that whether just microphone calls log to judge microphone
It is often called.But call the mode of log that can only judge whether microphone circuit is normal or whether call normal, cannot but sentence
Whether its recording substance that breaks is normal, can not judge whether microphone breaks down.
Summary of the invention
What the embodiment of the present invention solved is the microphone failure how being effectively detected out on interactive terminal facility.
In order to solve the above technical problems, the embodiment of the present invention provides a kind of microphone fault detection method, microphone failure
Detection method includes: to obtain the collected audio data of microphone；Calculate the mass fraction of the audio data；When the audio
When the mass fraction of data is less than preset threshold, determine that there are failures for the microphone.
Optionally, the mass fraction for calculating the audio data, comprising: the audio number is calculated using SRMR algorithm
According to mass fraction.
Optionally, when the mass fraction of the audio data is more than preset threshold, determine that the microphone works are normal.
Optionally, after calculating the mass fraction of the audio data using SRMR algorithm, further includes: by the quality
Score is sent to remote server.
Optionally, the collected audio data of the acquisition microphone, comprising: it is collected to obtain at least one microphone
Audio data.
In order to solve the above technical problems, the embodiment of the invention also discloses a kind of microphone fault detection means, microphone
Fault detection means includes: acquiring unit, for obtaining the collected audio data of microphone；Computing unit, for calculating
State the mass fraction of audio data；Judging unit, for determining when the mass fraction of the audio data is less than preset threshold
There are failures for the microphone.
Optionally, the computing unit calculates institute using SRMR algorithm for calculating the mass fraction of the audio data
State the mass fraction of audio data.
Optionally, the computing unit, is also used to: when the mass fraction of the audio data is more than preset threshold, sentencing
The fixed microphone works are normal.
Optionally, the computing unit, is also used to: the mass fraction is sent to remote server.
Optionally, the acquiring unit, is used for: obtaining the collected audio data of at least one microphone.
The embodiment of the invention also discloses a kind of computer readable storage mediums, are stored thereon with computer instruction, described
The step of microphone fault detection method described in executing any of the above-described kind when computer instruction operation.
It is described to deposit the embodiment of the invention also provides a kind of microphone fault detection means, including memory and processor
The computer instruction that can be run on the processor is stored on reservoir, the processor is held when running the computer instruction
The step of microphone fault detection method described in any of the above-described kind of row.
Compared with prior art, the technical solution of the embodiment of the present invention has the advantages that
By the mass fraction of the calculating collected audio data of microphone, then judge the mass fraction of the audio data
Whether preset threshold is less than, and then whether the microphone detected on interactive terminal facility breaks down.
Further, the terminal device not strong for computing capability, by the microphone fault detection means in remote server
The audio data that receiving terminal apparatus is sent, and use SRMR algorithm calculates the mass fraction of the audio data, it can be effective
Whether the mass fraction of the audio data collected of the different terminal device of detection computing capability is less than preset threshold, Jin Erjian
The microphone measured on the interactive terminal facility breaks down.
Detailed description of the invention
Fig. 1 is a kind of flow chart of microphone fault detection method of the embodiment of the present invention；
Fig. 2 is a kind of structural schematic diagram of microphone fault detection means of the embodiment of the present invention.
Specific embodiment
Various interactive terminal facilities, such as interactive voice robot, intelligent sound box etc. on the market at present, be equipped with
The directly interactive audio data collecting equipment of user, such as microphone etc..And it is that assessment terminal is set that whether microphone is working properly
A standby whole whether normally important ring.
There are mainly two types of regular microphones inspection methods working properly: one is the recording that machine acquisition is listened in artificial sampling observation
It is whether normal, time-consuming and laborious and higher cost；Another kind is remotely to check that whether just microphone calls log to judge microphone
It is often called.But call the mode of log that can only judge whether microphone circuit is normal or whether call normal, cannot but sentence
Whether its recording substance that breaks is normal, can not judge whether microphone breaks down.
In the embodiment of the present invention, by the mass fraction of the calculating collected audio data of microphone, then the sound is judged
Whether the mass fraction of frequency evidence is less than preset threshold, and then the microphone on interactive terminal facility can be effectively detected out
Whether break down.
It is understandable to enable the above-mentioned purpose, feature and beneficial effect of the embodiment of the present invention to become apparent, below with reference to attached
Figure is described in detail specific embodiments of the present invention.
The embodiment of the invention provides a kind of microphone fault detection methods, referring to Fig.1, carry out below by way of specific steps
It is described in detail.
The microphone fault detection method provided in the embodiment of the present invention can be applied to all kinds of interactive intelligent terminals and set
It is standby.
Step S101 obtains the collected audio data of microphone.
In practical applications, microphone fault detection means can be deployed on all kinds of interactive intelligent terminal devices,
Microphone fault detection means obtains the collected audio data of microphone institute of terminal device.It is understood that interactive
Intelligent terminal includes all kinds of self-help terminal equipments, such as service class self-help terminal equipment；Also it is adopted including all kinds of by audio
The intelligent terminal, such as intelligent sound box, intelligent refrigerator etc. that collection equipment and user interact.The present invention does not go to live in the household of one's in-laws on getting married herein
It states.
In specific implementation, the collected audio number of at least one available microphone of microphone fault detection means
According to.Specifically, microphone fault detection means is disposed when the data-handling capacity of terminal device or poor computing capability
On remote equipment, the collected audio number of the microphone at least one terminal device is obtained by microphone fault detection means
According to, it is unified to be calculated by remote equipment, and then judge whether the microphone of corresponding terminal device is working properly.
Step S102 calculates the mass fraction of the audio data.
In specific implementation, energy ratio (Speech-to-Reverberation can be modulated using speech reverberation
Modulation energy Ratio, SRMR) algorithm calculates the mass fraction of the audio data.
SRMR algorithm is the objective evaluation method of a kind of voice quality based on voice signal modulation spectrum characterization and intelligibility.
The mass fraction of audio data is calculated using SRMR algorithm, obtained mass fraction represents the voice quality of this section audio data.
When mass fraction is less than preset threshold, it is possible to determine that the quality of the audio is poor, while also illustrating corresponding microphone work
Make abnormal.Therefore, the mass fraction that the audio data is calculated using SRMR algorithm can be convenient and effectively judge corresponding sound
Frequency detects whether corresponding microphone is working properly according to whether quality is intact.
It in specific implementation, can also be by institute after calculating the mass fraction of the audio data using SRMR algorithm
It states mass fraction and is sent to remote server.
In practical applications, when microphone fault detection means is deployed on interactive intelligent terminal device, by Mike
Wind fault detection means calculate microphone collected audio data mass fraction.After the completion of calculating, microphone failure
Mass fraction can be sent to remote server and summarized by detection device, the end managed using the manager of remote server it
The state of end equipment is recorded, and is facilitated and subsequent is had good grounds when something goes wrong.
Step S103 determines that the microphone has event when the mass fraction of the audio data is less than preset threshold
Barrier.
In practical applications, when microphone fault detection means is deployed on interactive intelligent terminal device, by Mike
Wind fault detection means calculate microphone collected audio data mass fraction.When determining the microphone, there are failures
Afterwards, one of mass fraction, judging result and deterministic process data or a variety of data can be sent to remote server,
Allow manager to grasp the fault condition of terminal device in time, and carries out subsequent troubleshooting.
When microphone fault detection means is deployed on remote equipment, remembered by the microphone detection device on remote equipment
Record corresponding mass fraction, judging result and deterministic process data.
In specific implementation, when the mass fraction of the audio data is more than preset threshold, determine the microphone work
Make normal.
In practical applications, it when the corresponding microphone works of judgement are normal, is deployed on interactive intelligent terminal device
Microphone fault detection means can recorde corresponding detection data, and send detection data to remote equipment；And it is deployed in
Microphone fault detection means on remote equipment can directly record corresponding detection data.Therefore, above two deployment side
Method can guarantee that the process of microphone fault detection has good grounds, and facilitate unified management of the manager to terminal device.
In conclusion by the mass fraction for calculating the collected audio data of microphone, then judge the audio data
Mass fraction whether be less than preset threshold, and then whether the microphone detected on interactive terminal facility breaks down.
Further, the terminal device not strong for computing capability, by the microphone fault detection means in remote server
The audio data that receiving terminal apparatus is sent, and use SRMR algorithm calculates the mass fraction of the audio data, it can be effective
Whether the mass fraction of the audio data collected of the different terminal device of detection computing capability is less than preset threshold, Jin Erjian
The microphone measured on the interactive terminal facility breaks down.
Referring to Fig. 2, the embodiment of the invention also provides a kind of microphone fault detection means 20.The microphone failure inspection
Surveying device 20 includes: acquiring unit 201, computing unit 202 and judging unit 203；
Wherein, the acquiring unit 201, for obtaining the collected audio data of microphone；
The computing unit 202, for calculating the mass fraction of the audio data；
The judging unit 203, for determining the wheat when the mass fraction of the audio data is less than preset threshold
There are failures for gram wind.
In specific implementation, the computing unit 202 can be used for calculating the mass fraction of the audio data, use
SRMR algorithm calculates the mass fraction of the audio data.
In specific implementation, the computing unit 202, can be also used for: when the mass fraction of the audio data is more than
When preset threshold, determine that the microphone works are normal.
In specific implementation, the computing unit 202, can be also used for: the mass fraction is sent to remote service
Device.
In specific implementation, the acquiring unit 201, can be used for: obtain the collected audio of at least one microphone
Data.
The embodiment of the invention also provides a kind of computer readable storage medium, computer readable storage medium is non-volatile
Property storage medium or non-transitory storage media, be stored thereon with computer instruction, the computer instruction executes this hair when running
The step of any microphone fault detection method provided in bright above-described embodiment.
It is described to deposit the embodiment of the invention also provides a kind of microphone fault detection means, including memory and processor
The computer instruction that can be run on the processor is stored on reservoir, when the processor runs shown computer instruction,
The step of any microphone fault detection method provided in the above embodiment of the present invention is provided.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of above-described embodiment is can
It is completed with instructing relevant hardware by program, which can store in any computer readable storage medium storing program for executing, deposit
Storage media may include: ROM, RAM, disk or CD etc..
Although present disclosure is as above, present invention is not limited to this.Anyone skilled in the art are not departing from this
It in the spirit and scope of invention, can make various changes or modifications, therefore protection scope of the present invention should be with claim institute
Subject to the range of restriction.
Claims (12)
1. a kind of microphone fault detection method characterized by comprising
Obtain the collected audio data of microphone；
Calculate the mass fraction of the audio data；
When the mass fraction of the audio data is less than preset threshold, determine that there are failures for the microphone.
2. microphone fault detection method as described in claim 1, which is characterized in that the matter for calculating the audio data
Measure score, comprising: the mass fraction of the audio data is calculated using SRMR algorithm.
3. microphone fault detection method as described in claim 1, which is characterized in that further include: when the audio data
When mass fraction is more than preset threshold, determine that the microphone works are normal.
4. microphone fault detection method as described in claim 1, which is characterized in that calculating the sound using SRMR algorithm
After the mass fraction of frequency evidence, further includes: the mass fraction is sent to remote server.
5. microphone fault detection method as described in claim 1, which is characterized in that the collected sound of the acquisition microphone
Frequency evidence, comprising: obtain the collected audio data of at least one microphone.
6. a kind of microphone fault detection means characterized by comprising
Acquiring unit, for obtaining the collected audio data of microphone；
Computing unit, for calculating the mass fraction of the audio data；
Judging unit, for determining that the microphone has event when the mass fraction of the audio data is less than preset threshold
Barrier.
7. microphone fault detection means as claimed in claim 6, which is characterized in that the computing unit, for calculating
The mass fraction for stating audio data calculates the mass fraction of the audio data using SRMR algorithm.
8. microphone fault detection means as claimed in claim 6, which is characterized in that the computing unit is also used to: working as institute
When stating the mass fraction of audio data more than preset threshold, determine that the microphone works are normal.
9. microphone fault detection means as claimed in claim 6, which is characterized in that the computing unit is also used to: by institute
It states mass fraction and is sent to remote server.
10. microphone fault detection means as claimed in claim 6, which is characterized in that the acquiring unit is used for: obtaining
The collected audio data of at least one microphone.
11. a kind of computer readable storage medium, computer readable storage medium is non-volatile memory medium or non-transient deposits
Storage media is stored thereon with computer instruction, which is characterized in that perform claim requires in 1 to 5 when the computer instruction is run
The step of described in any item microphone fault detection methods.
12. a kind of microphone fault detection means, including memory and processor, being stored on the memory can be at the place
The computer instruction run on reason device, which is characterized in that perform claim requires 1 when the processor runs the computer instruction
The step of to 5 described in any item microphone fault detection methods.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910015813.0A CN109951349A (en) | 2019-01-08 | 2019-01-08 | Microphone fault detection method and device, readable storage medium storing program for executing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201910015813.0A CN109951349A (en) | 2019-01-08 | 2019-01-08 | Microphone fault detection method and device, readable storage medium storing program for executing |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105979053A (en) * | 2016-04-18 | 2016-09-28 | 广东欧珀移动通信有限公司 | Method and device for detecting microphone in mobile terminal and mobile terminal |
| CN106303804A (en) * | 2016-07-28 | 2017-01-04 | 维沃移动通信有限公司 | The control method of a kind of mike and mobile terminal |
| US9607627B2 (en) * | 2015-02-05 | 2017-03-28 | Adobe Systems Incorporated | Sound enhancement through deverberation |
| CN108737615A (en) * | 2018-06-27 | 2018-11-02 | 努比亚技术有限公司 | microphone reception method, mobile terminal and computer readable storage medium |
-
2019
- 2019-01-08 CN CN201910015813.0A patent/CN109951349A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9607627B2 (en) * | 2015-02-05 | 2017-03-28 | Adobe Systems Incorporated | Sound enhancement through deverberation |
| CN105979053A (en) * | 2016-04-18 | 2016-09-28 | 广东欧珀移动通信有限公司 | Method and device for detecting microphone in mobile terminal and mobile terminal |
| CN106303804A (en) * | 2016-07-28 | 2017-01-04 | 维沃移动通信有限公司 | The control method of a kind of mike and mobile terminal |
| CN108737615A (en) * | 2018-06-27 | 2018-11-02 | 努比亚技术有限公司 | microphone reception method, mobile terminal and computer readable storage medium |
Non-Patent Citations (2)
| Title |
|---|
| 付建梅: "提取耳蜗熵值的语音可懂度客观评测算法研究", 《提取耳蜗熵值的语音可懂度客观评测算法研究》 * |
| 张雄伟等: "语音去混响技术的研究进展与展望", 《数字采集与处理》 * |
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Application publication date: 20190628 |