CN108877837A - Audio signal abnormality recognition method, device and storage medium - Google Patents
Audio signal abnormality recognition method, device and storage medium Download PDFInfo
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Abstract
This disclosure relates to which a kind of audio signal abnormality recognition method, device and storage medium, are related to terminal hardware maintenance area, this method includes：In the signal processing to audio, the output signal of each specified audio processing modules is detected；When detecting the output signal exception of the first audio processing modules, log information is generated according to the exception information of the output signal of first audio processing modules, which is any audio processing modules in the specified audio processing modules.The abnormality detection of the output signal to the specified module during Audio Signal Processing can be passed through, the source of record audio issue and type when audio occurs abnormal, the collection to the information extremely unrelated with audio is avoided, guarantees the timeliness and specific aim of audio signal abnormality detection and identification.
Description
Technical field
This disclosure relates to terminal hardware maintenance area more particularly to a kind of audio signal abnormality recognition method, device and deposit
Storage media.
Background technique
When carrying out audio broadcasting by audio frequency apparatuses such as mobile terminal, audio player or sound pick-up outfits and including,
It usually will appear noiseless, noise, distorsion, audio discontinuity and the acoustic problems such as sound is too small.Maintenance for audio frequency apparatus, one
Aspect, user can not retain the field conditions of acoustic problem in time, solve so that engineer analyzes, on the other hand, partial sound
Problem is also difficult to the test early period discovery in advance by Test Engineer.Therefore, relevant after-sales service process, ought usually use
After family discovery sound goes wrong, tester is informed, then whole process is remembered when audio frequency apparatus carries out audio broadcasting by tester
Log (log) information of audio frequency apparatus is recorded, finally goes out to lead to the hardware fault of acoustic problem according to the log information analysis, in turn
It repairs and replaces.
Summary of the invention
To overcome the problems in correlation technique, the disclosure provide a kind of audio signal abnormality recognition method, device and
Storage medium.
According to the first aspect of the embodiments of the present disclosure, a kind of audio signal abnormality recognition method is provided, the method includes：
In the signal processing to audio, the output signal of each specified audio processing modules is detected；
When detecting the output signal exception of the first audio processing modules, according to the defeated of first audio processing modules
The exception information of signal generates log information out, and first audio processing modules are in the specified audio processing modules
Any audio processing modules.
Optionally, during playing audio by audio output apparatus or enrolling audio by sound pick-up outfit, institute
Stating specified audio processing modules includes codec module, digital signal processing module；The signal processing mistake to audio
Cheng Zhong detects the output signal of each specified audio processing modules, including：
After completing to the processing of the digital signal of the audio by the digital signal processing module, to the number
First output signal of signal processing module output carries out abnormal signal detection processing；
After conversion between the digital signal and analog signal for completing the audio by the codec module, to institute
The second output signal for stating codec module output carries out abnormal signal detection processing.
Optionally, during carrying out upload or download process to audio, the specified audio processing modules include
Codec module, digital signal processing module and modem, in the signal processing to audio, to each finger
The output signal of fixed audio processing modules is detected, including：
After completing to the processing of the digital signal of the audio by the digital signal processing module, to the number
First output signal of signal processing module output carries out abnormal signal detection processing；
After conversion between the digital signal and analog signal for completing the audio by the codec module, to institute
The second output signal for stating codec module output carries out abnormal signal detection processing.
After conversion between the digital signal and pulse signal for completing the audio by the modem, to institute
The third output signal for stating modem output carries out abnormal signal detection processing.
Optionally, in the signal processing to audio, the output of each specified audio processing modules is believed
It number is detected, including：
Volume is carried out according to output signal of the preset signal strength range to the audio processing modules each specified
Abnormality detection, whether there is volume abnormal problem in the output signal of the determination audio processing modules each specified；
The interrupted situation of waveform of the output signal of the audio processing modules each specified is detected, to determine
It states in the output signal of each specified audio processing modules with the presence or absence of staccato problem；And/or
The slicing situation of the output signal of the audio processing modules each specified is detected, it is described every with determination
It whether there is plosive problem in the output signal of a specified audio processing modules.
Optionally, log information is generated in the exception information of the output signal according to first audio processing modules
Later, the method also includes：
Grab the log information；
The log information is shared to preset maintenance information collecting platform.
According to the second aspect of an embodiment of the present disclosure, a kind of audio signal anomalous identification device is provided, described device includes：
Abnormality detection module, is configured as in the signal processing to audio, to each specified audio processing mould
The output signal of block is detected；
Log generation module is configured as when detecting the output signal exception of the first audio processing modules, according to institute
The exception information for stating the output signal of the first audio processing modules generates log information, and first audio processing modules are described
Any audio processing modules in specified audio processing modules.
Optionally, during playing audio by audio output apparatus or enrolling audio by sound pick-up outfit, institute
Stating specified audio processing modules includes codec module and digital signal processing module, the abnormality detection module, including：
First abnormality detection submodule is configured as completing by the digital signal processing module to the audio
After the processing of digital signal, the first output signal of digital signal processing module output is carried out at abnormal signal detection
Reason；
Second abnormality detection submodule is configured as in the digital signal for completing the audio by the codec module
After conversion between analog signal, the second output signal of codec module output is carried out at abnormal signal detection
Reason.
Optionally, during carrying out upload or download process to audio, the specified audio processing modules include
Codec module, digital signal processing module and modem, the abnormality detection module, including：
First abnormality detection submodule is configured as completing by the digital signal processing module to the audio
After the processing of digital signal, the first output signal of digital signal processing module output is carried out at abnormal signal detection
Reason；
Second abnormality detection submodule is configured as in the digital signal for completing the audio by the codec module
With analog signal between conversion after, to the codec module output the second output signal carry out abnormal signal detection at
Reason.
Third abnormality detection submodule is configured as in the digital signal for completing the audio by the modem
After conversion between pulse signal, the third output signal of modem output is carried out at abnormal signal detection
Reason.
Optionally, the abnormality detection module, is configured as：
Volume is carried out according to output signal of the preset signal strength range to the audio processing modules each specified
Abnormality detection, whether there is volume abnormal problem in the output signal of the determination audio processing modules each specified；
The interrupted situation of waveform of the output signal of the audio processing modules each specified is detected, to determine
It states in the output signal of each specified audio processing modules with the presence or absence of staccato problem；And/or
The slicing situation of the output signal of the audio processing modules each specified is detected, it is described every with determination
It whether there is plosive problem in the output signal of a specified audio processing modules.
Optionally, described device further includes：
Log handling module is configured as grabbing the log information；
Log sharing module is configured as sharing the log information to preset maintenance information collecting platform.
According to the third aspect of an embodiment of the present disclosure, a kind of audio signal anomalous identification device is provided, including：
Processor；
Memory for storage processor executable instruction；
Wherein, the processor is configured to：
In the signal processing to audio, the output signal of each specified audio processing modules is detected；
When detecting the output signal exception of the first audio processing modules, according to the defeated of first audio processing modules
The exception information of signal generates log information out, and first audio processing modules are in the specified audio processing modules
Any audio processing modules.
According to a fourth aspect of embodiments of the present disclosure, a kind of computer readable storage medium is provided, calculating is stored thereon with
Machine program instruction realizes audio signal anomalous identification provided by the disclosure first aspect when program instruction is executed by processor
The step of method.
The technical scheme provided by this disclosed embodiment can include the following benefits：In the signal processing mistake to audio
Cheng Zhong detects the output signal of each specified audio processing modules；When detecting the defeated of the first audio processing modules
Out when abnormal signal, log information, first sound are generated according to the exception information of the output signal of first audio processing modules
Frequency processing module is any audio processing modules in the specified audio processing modules.It can be by Audio Signal Processing mistake
The abnormality detection of the output signal of specified module in journey, the source of record audio issue and type when audio occurs abnormal,
The collection to the information extremely unrelated with audio is avoided, guarantees the timeliness and specific aim of audio signal abnormality detection and identification.
It should be understood that above general description and following detailed description be only it is exemplary and explanatory, not
The disclosure can be limited.
Detailed description of the invention
The drawings herein are incorporated into the specification and forms part of this specification, and shows the implementation for meeting the disclosure
Example, and together with specification for explaining the principles of this disclosure.
Fig. 1 is a kind of flow chart of audio signal abnormality recognition method shown according to an exemplary embodiment；
Fig. 2 is the flow chart for implementing a kind of audio signal detection method exemplified according to Fig. 1；
Fig. 3 is the flow chart for implementing another audio signal detection method exemplified according to Fig. 1；
Fig. 4 is the flow chart for implementing another audio signal abnormality recognition method exemplified according to Fig. 1；
Fig. 5 is a kind of block diagram of audio signal anomalous identification device shown according to an exemplary embodiment；
Fig. 6 is the block diagram for implementing a kind of abnormality detection module exemplified according to Fig.5,；
Fig. 7 is the block diagram for implementing another abnormality detection module exemplified according to Fig.5,；
Fig. 8 is the block diagram for implementing another audio signal anomalous identification device exemplified according to Fig.5,；
Fig. 9 is a kind of block diagram of audio signal anomalous identification device shown according to an exemplary embodiment.
Specific embodiment
Example embodiments are described in detail here, and the example is illustrated in the accompanying drawings.Following description is related to
When attached drawing, unless otherwise indicated, the same numbers in different drawings indicate the same or similar elements.Following exemplary embodiment
Described in embodiment do not represent all implementations consistent with this disclosure.On the contrary, they be only with it is such as appended
The example of the consistent device and method of some aspects be described in detail in claims, the disclosure.
Before introducing the audio signal abnormality recognition method, device and storage medium of disclosure offer, first to this public affairs
It opens application scenarios involved in each embodiment to be introduced, which includes a terminal device, which is
Has the terminal device that audio plays with recording function or at least can save and export audio.The terminal device can be,
For example, smart phone, tablet computer, smart television, smartwatch, PDA (English：Personal Digital Assistant,
Chinese：Personal digital assistant), the mobile terminals such as portable computer.
Fig. 1 is a kind of flow chart of audio signal abnormality recognition method shown according to an exemplary embodiment, such as Fig. 1 institute
Show, applied to terminal device described in above-mentioned application scenarios, this approach includes the following steps：
In a step 101, in the signal processing to audio, the output of each specified audio processing modules is believed
It number is detected.
Wherein, include to the signal processing of audio：Audio is converted from analog by multiple specified modules
Pulse signal is uploaded to the process of network, and the audio of downloading is converted to analog signal from pulse signal and is played out or defeated
Process out alternatively, playing the process of the audio of storage by audio output apparatus, and enrolls audio simultaneously by sound pick-up outfit
The process of storage.
Illustratively, in application signal strength detection mechanism, the interrupted testing mechanism of waveform and/or slicing testing mechanism to each
When the output signal of specified audio processing modules carries out abnormality detection, which may include：It is strong according to preset signal
It spends range and volume abnormality detection is carried out to the output signal of the audio processing modules each specified, to determine what this was each specified
It whether there is volume abnormal problem in the output signal of audio processing modules, slightly exceed the preset letter when the output signal
When number strength range, determine that the problem that volume is excessive, less than normal or noiseless occurs in the corresponding audio of the output signal；It is each to this
The interrupted situation of the waveform of the output signal of specified audio processing modules is detected, to determine the audio processing each specified
The output is determined when abnormal interrupt occurs in the waveform of the output signal with the presence or absence of staccato problem in the output signal of module
There is the incoherent problem of sound in the corresponding audio of signal；And/or the output signal to the audio processing modules each specified
Slicing situation detected, with determine the audio processing modules each specified output signal in whether there is plosive
(POP noise) problem, wherein the POP noise be audio parts power on, shutdown transient and power on stablize after, various operations
Explosion sound caused by bring transient impact.
It should be noted that being directed to different application scenarios, the signal processing of the audio can be for comprising a variety of
Conversion module unlike signal treatment process, and corresponding abnormality detection mechanism includes a variety of for different audio issues
Testing mechanism, the present embodiment are made as example to the audio signal anomalous identification with above-mentioned signal processing and anomaly detection machine
Method is illustrated.
In a step 102, when detecting the output signal exception of the first audio processing modules, at first audio
The exception information for managing the output signal of module generates log information.
Wherein, which is any audio processing modules in the specified audio processing modules.
Illustratively, when the output signal for detecting any audio processing modules occurs abnormal, by the different of the output signal
Normal information is recorded in the current log of terminal device.Wherein, which may include：The position that abnormal signal occurs
(the type includes noiseless, miscellaneous to the type of (that is, occurring after the conversion process of which audio processing modules) and signal problem
Sound, distorsion, audio discontinuity or sound are too small) etc..
In conclusion the disclosure can be in the signal processing to audio, to each specified audio processing modules
Output signal detected；When detecting the output signal exception of the first audio processing modules, at first audio
The exception information for managing the output signal of module generates log information, which is the specified audio processing mould
Any audio processing modules in block.The exception of the output signal to the specified module during Audio Signal Processing can be passed through
Detection, when audio occurs abnormal, the source of record audio issue and type, avoid the receipts to the information extremely unrelated with audio
Collection guarantees the timeliness and specific aim of audio signal abnormality detection and identification.
Fig. 2 is the flow chart for implementing a kind of audio signal detection method exemplified according to Fig. 1, defeated by audio
Out device plays audio or by sound pick-up outfit enroll audio during, above-mentioned specified audio processing modules include compiling
Code module and digital signal processing module, as shown in Fig. 2, above-mentioned steps 101, including：
In step 1011, after completing to the processing of the digital signal of the audio by the digital signal processing module,
Abnormal signal detection processing is carried out to the first output signal of digital signal processing module output.
In step 1012, it completes to turn between the digital signal of the audio and analog signal by the codec module
After changing, abnormal signal detection processing is carried out to the second output signal of codec module output.
Wherein, which can be DSP (Digital Signal Processor, at digital signal
Manage chip), which can be Codec (COder-DECoder, coder).Audio output apparatus may include
Earphone and loudspeaker etc., the sound pick-up outfit can be microphone.It is understood that the audio is stored up with digital signal form
There are in terminal device.
Illustratively, during playing audio by audio output apparatus, the execution sequence of above-mentioned steps is step
1011 to step 1012, that is, is handled first by digital signal of the DSP to the audio, first output signal is at this time
Then above-mentioned treated digital signal is converted to corresponding analog signal by Codec by treated digital signal,
Second output signal is analog signal at this time, converts the analog signal into audio finally by earphone or loudspeaker and carries out
It plays.During the above process, can by corresponding abnormal signal testing mechanism to the output signal of DSP and Codec into
Row abnormality detection, and corresponding exception information is recorded in log information automatically when above-mentioned output signal occurs abnormal.It needs
It is noted that AP (Application can be passed through before handling by digital signal of the DSP to the audio
Processer, application processor) PCM (Pulse Code Modulation, pulse code modulation) conversion is carried out to audio, then
Digital signal after conversion is sent to DSP.
Relatively, during enrolling audio by sound pick-up outfit, the execution sequence of above-mentioned steps be step 1012 to
Step 1011, that is, the corresponding analog signal of audio is converted to by corresponding digital signal by Codec first, at this time this second
Output signal is digital signal, is then handled by digital signal of the DSP to the audio, and first output signal is at this time
By the digital signal that DSP is handled, first output signal is finally stored.It, can be by believing accordingly during the above process
Number abnormality detection mechanism carries out abnormality detection the output signal of Codec and DSP, and when above-mentioned output signal occurs abnormal
Automatically corresponding exception information is recorded in log information.
Fig. 3 is the flow chart for implementing another audio signal detection method exemplified according to Fig. 1, to audio into
During row upload or download process, above-mentioned specified audio processing modules include codec module, Digital Signal Processing mould
Block and modem, as shown in figure 3, step 101 includes：
In step 1013, after completing to the processing of the digital signal of the audio by the digital signal processing module,
Abnormal signal detection processing is carried out to the first output signal of digital signal processing module output.
In step 1014, complete to turn between the digital signal of the audio and analog signal by the codec module
After changing, abnormal signal detection processing is carried out to the second output signal of codec module output.
In step 1015, complete to turn between the digital signal of the audio and pulse signal by the modem
After changing, abnormal signal detection processing is carried out to the third output signal of modem output.
Illustratively, during audio is uploaded to network, the execution of above-mentioned steps sequence is step 1014 to 1013
Again to 1015, that is, the corresponding analog signal of audio is converted to by corresponding digital signal by Codec first, at this time this second
Output signal is digital signal, is then handled by digital signal of the DSP to the audio, and first output signal is at this time
Treated digital signal, then the treated digital signal is converted to by pulse signal by modem and is carried out
It passes, the third output signal is pulse signal at this time.During the above process, corresponding abnormal signal testing mechanism can be passed through
The output signal of Codec, DSP and modulation and demodulation device are carried out abnormality detection, and certainly when above-mentioned output signal occurs abnormal
It is dynamic that corresponding exception information is recorded in log information.
Relatively, during downloading audio from network, the execution sequence of above-mentioned steps is step 1015 to 1013
Again to 1014, the corresponding pulse signal of the audio is converted to by digital signal by modem first, the third is defeated at this time
Signal is digital signal out, is then handled by DSP the digital signal, and first output signal is by processing at this time
Digital signal, the treated digital signal is converted into corresponding analog signal finally by Codec and is stored or logical
It crosses audio output apparatus to be exported, second output signal is digital signal at this time.During the above process, phase can be passed through
The abnormal signal testing mechanism answered carries out abnormality detection the output signal of modem, DSP and Codec, and above-mentioned
Corresponding exception information is recorded in log information by output signal automatically when occurring abnormal.
Fig. 4 is the flow chart for implementing another audio signal abnormality recognition method exemplified according to Fig. 1, such as Fig. 4
Shown, this method can also include：
In step 103, the log information is grabbed.
At step 104, which is shared to preset maintenance information collecting platform.
Illustratively, after audio signal relevant log information extremely generates, the log information can be grabbed, and according to
The source of the corresponding audio issue of exception information in log information or type carry out classified storage to these log informations, or
These log informations are uploaded to the maintenance information collecting platform for the maintenance information for being used to collect the terminal device by person, so that after sale
Maintenance personnel carries out remote maintenance to the terminal device or seeks advice from after sale.
In conclusion the disclosure can be in the signal processing to audio, to each specified audio processing modules
Output signal detected；When detecting the output signal exception of the first audio processing modules, at first audio
The exception information for managing the output signal of module generates log information, which is the specified audio processing mould
Any audio processing modules in block.The exception of the output signal to the specified module during Audio Signal Processing can be passed through
Detection, the source of record audio issue and type when audio occurs abnormal, and remotely inform after-sales service personnel, avoid to
The collection of the extremely unrelated information of audio, guarantees the timeliness and specific aim of audio signal abnormality detection and identification, and improves
The convenience of after-sales service.
Fig. 5 is a kind of block diagram of audio signal anomalous identification device shown according to an exemplary embodiment, such as Fig. 5 institute
Show, applied to terminal device described in above-mentioned application scenarios, which includes：
Abnormality detection module 210, is configured as in the signal processing to audio, to each specified audio processing
The output signal of module is detected；
Log generation module 220 is configured as when detecting the output signal exception of the first audio processing modules, according to
The exception information of the output signal of first audio processing modules generates log information, and first audio processing modules are specified for this
Audio processing modules in any audio processing modules.
Fig. 6 is the block diagram for implementing a kind of abnormality detection module exemplified according to Fig.5, as shown in fig. 6, passing through sound
During frequency output equipment plays audio or enrolls audio by sound pick-up outfit, which includes compiling
Decoding module and digital signal processing module, the abnormality detection module 210, including：
First abnormality detection submodule 211 is configured as completing by the digital signal processing module to the audio
After the processing of digital signal, abnormal signal detection processing is carried out to the first output signal of digital signal processing module output；
Second abnormality detection submodule 212 is configured as in the digital signal for completing the audio by the codec module
After conversion between analog signal, abnormal signal detection processing is carried out to the second output signal of codec module output.
Fig. 7 is the block diagram for implementing another abnormality detection module exemplified according to Fig.5, as shown in fig. 7, to sound
During frequency carries out upload or download process, which includes codec module, Digital Signal Processing
Module and modem, the abnormality detection module 210, including：
First abnormality detection submodule 211 is configured as completing by the digital signal processing module to the audio
After the processing of digital signal, abnormal signal detection processing is carried out to the first output signal of digital signal processing module output；
Second abnormality detection submodule 212 is configured as in the digital signal for completing the audio by the codec module
After conversion between analog signal, abnormal signal detection processing is carried out to the second output signal of codec module output.
Third abnormality detection submodule 213 is configured as in the digital signal for completing the audio by the modem
After conversion between pulse signal, abnormal signal detection processing is carried out to the third output signal of modem output.
Optionally, the abnormality detection module 210, is configured as：
It is different that volume is carried out according to output signal of the preset signal strength range to the audio processing modules each specified
Often detection, whether there is volume abnormal problem in the output signal of the determining audio processing modules each specified；
The interrupted situation of the waveform of the output signal of the audio processing modules each specified is detected, to determine that this is every
It whether there is staccato problem in the output signal of a specified audio processing modules；And/or
The slicing situation of the output signal of the audio processing modules each specified is detected, to determine each finger
It whether there is plosive problem in the output signal of fixed audio processing modules.
Fig. 8 is the block diagram for implementing another audio signal anomalous identification device exemplified according to Fig.5, such as Fig. 8 institute
Show, which further includes：
Log handling module 230 is configured as grabbing the log information；
Log sharing module 240 is configured as sharing the log information to preset maintenance information collecting platform.
About the device in above-described embodiment, wherein modules execute the concrete mode of operation in related this method
Embodiment in be described in detail, no detailed explanation will be given here.
In conclusion the disclosure can be in the signal processing to audio, to each specified audio processing modules
Output signal detected；When detecting the output signal exception of the first audio processing modules, at first audio
The exception information for managing the output signal of module generates log information, which is the specified audio processing mould
Any audio processing modules in block.The exception of the output signal to the specified module during Audio Signal Processing can be passed through
Detection, the source of record audio issue and type when audio occurs abnormal, and remotely inform after-sales service personnel, avoid to
The collection of the extremely unrelated information of audio, guarantees the timeliness and specific aim of audio signal abnormality detection and identification, and improves
The convenience of after-sales service.
The disclosure also provides a kind of computer readable storage medium, is stored thereon with computer program instructions, which refers to
The step of enabling the audio signal abnormality recognition method that disclosure offer is provided when being executed by processor.
Fig. 9 is a kind of block diagram of audio signal anomalous identification device 300 shown according to an exemplary embodiment.For example,
Device 300 can be mobile phone, computer, digital broadcasting terminal, messaging device, game console, tablet device, doctor
Treat equipment, body-building equipment, personal digital assistant etc..
Referring to Fig. 9, device 300 may include following one or more components：Processing component 302, memory 304, electric power
Component 306, multimedia component 308, audio component 310, the interface 312 of input/output (I/O), sensor module 314, and
Communication component 316.
The integrated operation of the usual control device 300 of processing component 302, such as with display, telephone call, data communication, phase
Machine operation and record operate associated operation.Processing component 302 may include that one or more processors 320 refer to execute
It enables, to complete all or part of the steps of above-mentioned audio signal abnormality recognition method.In addition, processing component 302 may include
One or more modules, convenient for the interaction between processing component 302 and other assemblies.For example, processing component 302 may include more
Media module, to facilitate the interaction between multimedia component 308 and processing component 302.
Memory 304 is configured as storing various types of data to support the operation in device 300.These data are shown
Example includes the instruction of any application or method for operating on the device 300, contact data, and telephone book data disappears
Breath, picture, video etc..Memory 304 can be by any kind of volatibility or non-volatile memory device or their group
It closes and realizes, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM) is erasable to compile
Journey read-only memory (EPROM), programmable read only memory (PROM), read-only memory (ROM), magnetic memory, flash
Device, disk or CD.
Electric power assembly 306 provides electric power for the various assemblies of device 300.Electric power assembly 306 may include power management system
System, one or more power supplys and other with for device 300 generate, manage, and distribute the associated component of electric power.
Multimedia component 308 includes the screen of one output interface of offer between described device 300 and user.One
In a little embodiments, screen may include liquid crystal display (LCD) and touch panel (TP).If screen includes touch panel, screen
Curtain may be implemented as touch screen, to receive input signal from the user.Touch panel includes one or more touch sensings
Device is to sense the gesture on touch, slide, and touch panel.The touch sensor can not only sense touch or sliding action
Boundary, but also detect duration and pressure associated with the touch or slide operation.In some embodiments, more matchmakers
Body component 308 includes a front camera and/or rear camera.When device 300 is in operation mode, such as screening-mode or
When video mode, front camera and/or rear camera can receive external multi-medium data.Each front camera and
Rear camera can be a fixed optical lens system or have focusing and optical zoom capabilities.
Audio component 310 is configured as output and/or input audio signal.For example, audio component 310 includes a Mike
Wind (MIC), when device 300 is in operation mode, when such as call mode, recording mode, and voice recognition mode, microphone is matched
It is set to reception external audio signal.The received audio signal can be further stored in memory 304 or via communication set
Part 316 is sent.In some embodiments, audio component 310 further includes a loudspeaker, is used for output audio signal.
I/O interface 312 provides interface between processing component 302 and peripheral interface module, and above-mentioned peripheral interface module can
To be keyboard, click wheel, button etc..These buttons may include, but are not limited to：Home button, volume button, start button and lock
Determine button.
Sensor module 314 includes one or more sensors, and the state for providing various aspects for device 300 is commented
Estimate.For example, sensor module 314 can detecte the state that opens/closes of device 300, and the relative positioning of component, for example, it is described
Component is the display and keypad of device 300, and sensor module 314 can be with 300 1 components of detection device 300 or device
Position change, the existence or non-existence that user contacts with device 300,300 orientation of device or acceleration/deceleration and device 300
Temperature change.Sensor module 314 may include proximity sensor, be configured to detect without any physical contact
Presence of nearby objects.Sensor module 314 can also include optical sensor, such as CMOS or ccd image sensor, at
As being used in application.In some embodiments, which can also include acceleration transducer, gyro sensors
Device, Magnetic Sensor, pressure sensor or temperature sensor.
Communication component 316 is configured to facilitate the communication of wired or wireless way between device 300 and other equipment.Device
300 can access the wireless network based on communication standard, such as WiFi, 2G or 3G or their combination.In an exemplary implementation
In example, communication component 316 receives broadcast singal or broadcast related information from external broadcasting management system via broadcast channel.
In one exemplary embodiment, the communication component 316 further includes near-field communication (NFC) module, to promote short range communication.Example
Such as, NFC module can be based on radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra wide band (UWB) technology,
Bluetooth (BT) technology and other technologies are realized.
In the exemplary embodiment, device 300 can be believed by one or more application specific integrated circuit (ASIC), number
Number processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD), field programmable gate array
(FPGA), controller, microcontroller, microprocessor or other electronic components are realized, are known extremely for executing above-mentioned audio signal
Other method.
In the exemplary embodiment, a kind of non-transitorycomputer readable storage medium including instruction, example are additionally provided
It such as include the memory 304 of instruction, above-metioned instruction can be executed different to complete above-mentioned audio signal by the processor 320 of device 300
Normal recognition methods.For example, the non-transitorycomputer readable storage medium can be ROM, random access memory (RAM),
CD-ROM, tape, floppy disk and optical data storage devices etc..The disclosure can be reduced when positioning wlan device position to WLAN
The dependence of the signal strength of equipment keeps the error precision of positioning controllable, improves the accuracy of positioning.
Those skilled in the art will readily occur to other embodiment party of the disclosure after considering specification and practicing the disclosure
Case.This application is intended to cover any variations, uses, or adaptations of the disclosure, these modifications, purposes or adaptability
Variation follows the general principles of this disclosure and including the undocumented common knowledge or usual skill in the art of the disclosure
Art means.The description and examples are only to be considered as illustrative, and the true scope and spirit of the disclosure are by following claim
It points out.
It should be understood that the present disclosure is not limited to the precise structures that have been described above and shown in the drawings, and
And various modifications and changes may be made without departing from the scope thereof.The scope of the present disclosure is only limited by the accompanying claims.
Claims (12)
1. a kind of audio signal abnormality recognition method, which is characterized in that the method, including：
In the signal processing to audio, the output signal of each specified audio processing modules is detected；
When detecting the output signal exception of the first audio processing modules, believed according to the output of first audio processing modules
Number exception information generate log information, first audio processing modules be the specified audio processing modules in any
Audio processing modules.
2. the method according to claim 1, wherein playing audio by audio output apparatus or passing through record
During sound equipment enrolls audio, the specified audio processing modules include codec module and Digital Signal Processing mould
Block in the signal processing to audio, detects the output signal of each specified audio processing modules, wraps
It includes：
After completing to the Digital Signal Processing of the audio by the digital signal processing module, at the digital signal
The first output signal for managing module output carries out abnormal signal detection processing；
After conversion between the digital signal and analog signal for completing the audio by the codec module, to the volume
Second output signal of decoding module output carries out abnormal signal detection processing.
3. the method according to claim 1, wherein upload to audio or during download process,
The specified audio processing modules include codec module, digital signal processing module and modem, described to sound
In the signal processing of frequency, the output signal of each specified audio processing modules is detected, including：
After completing to the Digital Signal Processing of the audio by the digital signal processing module, at the digital signal
The first output signal for managing module output carries out abnormal signal detection processing；
After conversion between the digital signal and analog signal for completing the audio by the codec module, to the volume
Second output signal of decoding module output carries out abnormal signal detection processing；
After conversion between the digital signal and pulse signal for completing the audio by the modem, to the tune
The third output signal of modulator-demodulator output carries out abnormal signal detection processing.
4. method according to any one of claim 1-3, which is characterized in that the signal processing to audio
In, the output signal of each specified audio processing modules is detected, including：
It is abnormal that volume is carried out according to output signal of the preset signal strength range to the audio processing modules each specified
Detection, whether there is volume abnormal problem in the output signal of the determination audio processing modules each specified；
The interrupted situation of waveform of the output signal of the audio processing modules each specified is detected, it is described every with determination
It whether there is staccato problem in the output signal of a specified audio processing modules；And/or
The slicing situation of the output signal of the audio processing modules each specified is detected, with determination each finger
It whether there is plosive problem in the output signal of fixed audio processing modules.
5. method according to claim 1-3, which is characterized in that described according to the first audio processing mould
After the exception information of the output signal of block generates log information, the method also includes：
Grab the log information；
The log information is shared to preset maintenance information collecting platform.
6. a kind of audio signal anomalous identification device, which is characterized in that described device, including：
Abnormality detection module, is configured as in the signal processing to audio, to each specified audio processing modules
Output signal is detected；
Log generation module is configured as when detecting the output signal exception of the first audio processing modules, according to described
The exception information of the output signal of one audio processing modules generates log information, and first audio processing modules are described specified
Audio processing modules in any audio processing modules.
7. device according to claim 6, which is characterized in that playing audio by audio output apparatus or passing through record
During sound equipment enrolls audio, the specified audio processing modules include codec module and Digital Signal Processing mould
Block, the abnormality detection module, including：
First abnormality detection submodule is configured as completing the number to the audio by the digital signal processing module
After signal processing, abnormal signal detection processing is carried out to the first output signal of digital signal processing module output；
Second abnormality detection submodule is configured as in the digital signal and mould for completing the audio by the codec module
After conversion between quasi- signal, abnormal signal detection processing is carried out to the second output signal of codec module output.
8. device according to claim 6, which is characterized in that during carrying out upload or download process to audio,
The specified audio processing modules include codec module, digital signal processing module and modem, the abnormal inspection
Module is surveyed, including：
First abnormality detection submodule is configured as completing the number to the audio by the digital signal processing module
After signal processing, abnormal signal detection processing is carried out to the first output signal of digital signal processing module output；
Second abnormality detection submodule is configured as in the digital signal and mould for completing the audio by the codec module
After conversion between quasi- signal, abnormal signal detection processing is carried out to the second output signal of codec module output；
Third abnormality detection submodule is configured as in the digital signal and arteries and veins for completing the audio by the modem
After rushing the conversion between signal, abnormal signal detection processing is carried out to the third output signal of modem output.
9. device a method according to any one of claims 6-8, which is characterized in that the abnormality detection module is configured as：
It is abnormal that volume is carried out according to output signal of the preset signal strength range to the audio processing modules each specified
Detection, whether there is volume abnormal problem in the output signal of the determination audio processing modules each specified；
The interrupted situation of waveform of the output signal of the audio processing modules each specified is detected, it is described every with determination
It whether there is staccato problem in the output signal of a specified audio processing modules；And/or
The slicing situation of the output signal of the audio processing modules each specified is detected, with determination each finger
It whether there is plosive problem in the output signal of fixed audio processing modules.
10. device a method according to any one of claims 6-8, which is characterized in that described device further includes：
Log handling module is configured as grabbing the log information；
Log sharing module is configured as sharing the log information to preset maintenance information collecting platform.
11. a kind of audio signal anomalous identification device, which is characterized in that including：
Processor；
Memory for storage processor executable instruction；
Wherein, the processor is configured to：
In the signal processing to audio, the output signal of each specified audio processing modules is detected；
When detecting the output signal exception of the first audio processing modules, believed according to the output of first audio processing modules
Number exception information generate log information, first audio processing modules be the specified audio processing modules in any
Audio processing modules.
12. a kind of computer readable storage medium, is stored thereon with computer program instructions, which is characterized in that the program instruction
The step of any one of claim 1-5 the method is realized when being executed by processor.
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