CN108234756A - Call control method, device and computer readable storage medium - Google Patents
Call control method, device and computer readable storage medium Download PDFInfo
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- 238000004590 computer program Methods 0.000 claims description 2
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
- H04M1/72454—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to context-related or environment-related conditions
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/03—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters
- G10L25/18—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters the extracted parameters being spectral information of each sub-band
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/03—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters
- G10L25/21—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters the extracted parameters being power information
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
- H04M1/72463—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions to restrict the functionality of the device
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M2250/00—Details of telephonic subscriber devices
- H04M2250/12—Details of telephonic subscriber devices including a sensor for measuring a physical value, e.g. temperature or motion
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- Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
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Abstract
This disclosure relates to a kind of call control method, device and computer readable storage medium, the method includes：When detecting call trigger signal, the internal car noise signal of vehicle is obtained；Time and frequency domain analysis is carried out to the internal car noise signal, extracts the characteristic value of the internal car noise signal；According to the characteristic value of the internal car noise signal, judge the vehicle whether in transport condition；When the vehicle is in transport condition, trigger signal of conversing described in refusal respond.It by the technical solution of the disclosure, can force that driver is forbidden to converse using mobile terminal when vehicle is in transport condition, so as to ensure vehicle safe driving, reduce accident rate.
Description
Technical field
This disclosure relates to field of terminal technology, and in particular, to a kind of call control method, device and computer-readable deposit
Storage media.
Background technology
Many drivers get used to making a phone call using mobile terminals such as mobile phones when driving, however, easily dividing in this way
It dissipates the attention of driver and its reaction time is caused to increase, so as to easily cause traffic accident.
Invention content
In view of this, the disclosure provides a kind of call control method, device and computer readable storage medium, in vehicle
Be in transport condition when force driver is forbidden to converse using mobile terminal.
To achieve these goals, it according to the embodiment of the present disclosure in a first aspect, provide a kind of call control method, wraps
It includes：
When detecting call trigger signal, the internal car noise signal of vehicle is obtained；
Time and frequency domain analysis is carried out to the internal car noise signal, extracts the characteristic value of the internal car noise signal；
According to the characteristic value of the internal car noise signal, judge the vehicle whether in transport condition；
When the vehicle is in transport condition, trigger signal of conversing described in refusal respond.
Optionally, it is described that time and frequency domain analysis is carried out to the internal car noise signal, extract the internal car noise signal
Characteristic value, including：
The continuing noise signal segment that amplitude is located in preset range is extracted from the internal car noise signal；
Fourier transformation is carried out to the continuing noise signal segment, obtains the frequency spectrum of the continuing noise signal segment；
According to the frequency spectrum of the continuing noise signal segment, the default octave power spectrum of the continuing noise signal segment is obtained
Density, wherein, the characteristic value includes the frequency spectrum of the continuing noise signal segment and default octave power spectral density.
Optionally, the characteristic value according to the internal car noise signal, judges whether the vehicle is in transport condition,
Including：
If the frequency spectrum of the continuing noise signal segment meets preset condition and the default frequency multiplication of the continuing noise signal segment
Journey power spectral density is less than predetermined power spectrum density threshold value, it is determined that the vehicle is in transport condition.
Optionally, the method further includes：
Internal car noise signal of the different vehicle under different transport conditions is obtained as training sample；
Time and frequency domain analysis is carried out to the training sample, obtains the frequency spectrum of the training sample and default octave work(
Rate spectrum density；
The preset condition is set and according to the default octave of the training sample according to the frequency spectrum of the training sample
Power spectral density sets the predetermined power spectrum density threshold value.
According to the second aspect of the embodiment of the present disclosure, a kind of call control apparatus is provided, including：
Noise signal acquisition module, for when detecting call trigger signal, obtaining the internal car noise signal of vehicle；
Characteristics extraction module for carrying out time and frequency domain analysis to the internal car noise signal, extracts the car
The characteristic value of noise signal；
Transport condition judgment module for the characteristic value according to the internal car noise signal, judges whether the vehicle is located
In transport condition；
Refusal respond module, for trigger signal of when the vehicle is in transport condition, conversing described in refusal respond.
Optionally, the characteristics extraction module includes：
Noise signal section extracting sub-module is located at for extracting amplitude from the internal car noise signal in preset range
Continuing noise signal segment；
Frequency spectrum acquisition submodule for carrying out Fourier transformation to the continuing noise signal segment, obtains described continuously making an uproar
The frequency spectrum of acoustical signal section；
Power spectral density acquisition submodule, for the frequency spectrum according to the continuing noise signal segment, acquisition is described continuously to make an uproar
The default octave power spectral density of acoustical signal section, wherein, the frequency spectrum of the characteristic value including the continuing noise signal segment and
Default octave power spectral density.
Optionally, the transport condition judgment module includes：
Transport condition determination sub-module, for meeting preset condition and the company in the frequency spectrum of the continuing noise signal segment
When the default octave power spectral density of continuous noise signal section is less than predetermined power spectrum density threshold value, determine that the vehicle is in row
Sail state.
Optionally, described device further includes：
Training sample acquisition module, for obtaining internal car noise signal of the different vehicle under different transport conditions as instruction
Practice sample；
Training sample analysis module for carrying out time and frequency domain analysis to the training sample, obtains the trained sample
This frequency spectrum and predetermined power spectrum density；
Setup module, for setting the preset condition and according to the training sample according to the frequency spectrum of the training sample
Default octave power spectral density the predetermined power spectrum density threshold value is set.
According to the third aspect of the embodiment of the present disclosure, a kind of call control apparatus is provided, including：
Processor；
For storing the memory of processor-executable instruction；
Wherein, the processor is configured as performing the call control method that the embodiment of the present disclosure provides.
According to the fourth aspect of the embodiment of the present disclosure, a kind of computer readable storage medium is provided, is stored thereon with calculating
Machine program instruction, when which is executed by processor the step of first aspect the method for the realization embodiment of the present disclosure.
Through the above technical solutions, when detecting call trigger signal, the internal car noise signal and basis of vehicle are obtained
Whether internal car noise signal judges vehicle in transport condition, if in transport condition, the refusal respond call trigger signal,
Thus, it is possible to it forces that driver is forbidden to converse using mobile terminal when vehicle is in transport condition, so as to ensure vehicle
Safety traffic reduces accident rate.
Other feature and advantage of the disclosure will be described in detail in subsequent specific embodiment part.
Description of the drawings
Attached drawing is for providing further understanding of the disclosure, and a part for constitution instruction, with following tool
Body embodiment is used to explain the disclosure, but do not form the limitation to the disclosure together.In the accompanying drawings：
Fig. 1 is the flow chart according to a kind of call control method shown in one exemplary embodiment of the disclosure；
Fig. 2 is the flow chart according to a kind of call control method shown in disclosure another exemplary embodiment；
Fig. 3 is the time domain schematic diagram according to a kind of internal car noise signal shown in one exemplary embodiment of the disclosure；
Fig. 4 is the spectrogram according to a kind of internal car noise signal shown in one exemplary embodiment of the disclosure；
Fig. 5 is the default octave power spectrum according to a kind of internal car noise signal shown in one exemplary embodiment of the disclosure
Density map；
Fig. 6 is close according to a kind of setting frequency spectrum preset condition shown in one exemplary embodiment of the disclosure and predetermined power spectrum
The flow chart of the method for degree；
Fig. 7 is the block diagram according to a kind of call control apparatus shown in one exemplary embodiment of the disclosure；
Fig. 8 is the block diagram according to a kind of call control apparatus shown in disclosure another exemplary embodiment；
Fig. 9 is the block diagram according to a kind of device for call control method shown in one exemplary embodiment of the disclosure.
Specific embodiment
The specific embodiment of the disclosure is described in detail below in conjunction with attached drawing.It should be understood that this place is retouched
The specific embodiment stated is only used for describing and explaining the disclosure, is not limited to the disclosure.
Fig. 1 is according to a kind of flow chart of call control method shown in one exemplary embodiment of the disclosure, and this method can
To be applied in mobile terminal, wherein, mobile terminal can be that mobile phone, tablet computer, intelligent wearable device etc. have call
The electronic equipment of function, as shown in Figure 1, this method includes the following steps：
In step S101, when detecting call trigger signal, the internal car noise signal of vehicle is obtained.
A normally opened low-power consumption microphone is commonly configured in mobile terminal, in an embodiment of the disclosure, works as inspection
When measuring call trigger signal, the internal car noise signal of vehicle is obtained using the normally opened low-power consumption microphone.Wherein, call is touched
Signalling can include incoming call signal and place calls signal.
In step s 102, time and frequency domain analysis is carried out to internal car noise signal, obtains the feature of internal car noise signal
Value.
In step s 103, according to the characteristic value of internal car noise signal, judge vehicle whether in transport condition.
In step S104, when vehicle is in transport condition, refusal respond call trigger signal.
The noise signal that engine and tire of internal car noise signal including vehicle etc. are sent out, and vehicle in parked state and
Its performance of internal car noise signal in time domain and frequency domain is different under various transport conditions.Therefore, by getting
Internal car noise signal carry out time and frequency domain analysis, extract the characteristic value of internal car noise signal, can be true according to characteristic value
Whether vehicle is made currently in transport condition, if vehicle is in transport condition, mobile terminal refusal respond call triggering letter
Number, so as to which driver be forbidden to be made a phone call in driving procedure.
In an embodiment of the disclosure, the characteristic value of internal car noise signal can include internal car noise signal frequency spectrum and
Default octave power spectral density, correspondingly, as shown in Fig. 2, above-mentioned steps S102 can include：
In step S121, the continuing noise signal that amplitude is located in preset range is extracted from internal car noise signal
Section.
The Conversation Voice of vehicle occupant may be mixed into the internal car noise signal got, and then shadow can be generated to testing result
It rings.And internal car noise signal is usually all steady-state signal, it is smaller and for continuous noise contribution to show as fluctuation in the time domain,
Therefore, it talks to exclude mixed vehicle occupant, as shown in figure 3, multistage internal car noise signal can be acquired and therefrom extracted
Amplitude is located at the continuing noise signal segment in preset range, which is the engine and wheel for being regarded as vehicle
The steady-state noise that fetal hair goes out.
In step S122, Fourier transformation is carried out to continuing noise signal segment, obtains the frequency of the continuing noise signal segment
Spectrum.
Then, Fourier transformation is carried out to the continuing noise signal segment extracted, the continuing noise signal segment can be obtained
Frequency spectrum and as the frequency spectrum of internal car noise signal, as shown in Figure 4.
In step S123, according to the frequency spectrum of continuing noise signal segment, the default frequency multiplication of the continuing noise signal segment is obtained
Journey power spectral density.
The frequency of the noise signals such as the engine and tire of vehicle is concentrated mainly on before 1kHz, therefore, is getting this
After the frequency spectrum of continuing noise signal segment, the frequency spectrum of the frequency range of 20Hz~1kHz can be divided simultaneously according to default octave
The power spectral density of each frequency range is calculated to get to the default octave power spectral density of internal car noise signal segment.
In embodiment of the disclosure, default octave can be third-octave, 1/6 octave, 1/12 octave and
1/24 octave etc..Frequency multiplication number of passes is bigger, and the accuracy of testing result is higher, but robustness is poor.Therefore, consider detection
As a result accuracy and robustness, it is preferable that default octave can use 1/12 octave, correspondingly, 1/12 frequency multiplication got
Journey power spectral density is as shown in Figure 5.
Further, since vehicle motor and tyre noise signal are typically distributed on low-frequency range, while in view of identification knot
The accuracy of fruit can choose the power spectral densities of preceding 10 frequency ranges as one of characteristic value of internal car noise signal to carry out
Subsequent analysis.
Correspondingly, in above-mentioned steps S103, the frequency spectrum of internal car noise signal and default octave power spectrum are being got
It after density, can analyze it, if the frequency spectrum of internal car noise signal meets preset condition and default octave power spectral density
Less than predetermined power spectrum density threshold value, then it can determine that vehicle is in transport condition.
In an embodiment of the disclosure, the preset condition and predetermined power spectrum density threshold value of frequency spectrum can be by largely accumulating
The result that internal car noise signal of the tired different brands vehicle under different transport conditions carries out big data machine learning is set
It puts, specifically, as shown in fig. 6, including：
In step s 601, internal car noise signal of the different vehicle under different transport conditions is obtained as training sample.
In step S602, time and frequency domain analysis is carried out to training sample, obtain the frequency spectrum of training sample and is preset again
Sound interval power spectral density.
It should be noted that obtain training sample frequency spectrum and default octave power spectral density process can be found in it is above-mentioned
The frequency spectrum of internal car noise signal and default frequency multiplication are obtained to internal car noise signal progress time and frequency domain analysis described in embodiment
The process of journey power density, details are not described herein again.
In step S603, the condition of frequency spectrum is set and according to the default frequency multiplication of training sample according to the frequency spectrum of training sample
Journey power spectral density sets power spectral density threshold value.
For example, can classify according to the driving state of the vehicle to training sample, i.e., a kind of transport condition corresponds to a kind of
Training sample for every class training sample, obtains the frequency spectrum of each training sample and default octave power spectral density in such.
By carrying out time and frequency domain analysis to such training sample, the frequency spectrum of such training sample and default octave power can obtain
Spectrum density, and the spectrum amplitude upper limit value of such sample and the upper limit of lower limiting value and default octave power spectral density can be set
Value.
By the frequency spectrum to all kinds of training samples and the spectrum amplitude upper limit value and lower limiting value of setting carry out machine learning and
Analysis is available, when vehicle be in transport condition, the frequency spectrum of internal car noise signal show as from low to high linearly under
Drop trend and the upper limit value and lower limiting value that can obtain spectrum amplitude, correspondingly, the preset condition of frequency spectrum are frequency spectrum from low frequency to height
The linear downward trend of frequency and amplitude is between upper limit value TH1 and lower limiting value TH2.
Equally, power spectrum can be set by carrying out machine learning and analysis by the predetermined power spectrum density to all kinds of training samples
Density threshold TH3.
It should be noted that in the frequency spectrum upper limit value and lower limiting value for setting all kinds of training samples, a model can be preset first
It encloses, if the range is gradually reduced until the amplitude of frequency spectrum is located just in the range of this in the range of being somebody's turn to do in the amplitude of frequency spectrum；If
The amplitude of frequency spectrum is located at outside the range, then gradually expands the range until the amplitude of frequency spectrum is located just in the range of this.All kinds of instructions
The upper limit value for practicing the power spectral density of sample is equally applicable to this, and details are not described herein again.
Through the above technical solutions, when detecting call trigger signal, the internal car noise signal and basis of vehicle are obtained
Whether internal car noise signal judges vehicle in transport condition, if in transport condition, the refusal respond call trigger signal,
Thus, it is possible to it forces that driver is forbidden to converse using mobile terminal when vehicle is in transport condition, so as to ensure vehicle
Safety traffic reduces accident rate.
Fig. 7 is according to a kind of block diagram of call control apparatus 700 shown in one exemplary embodiment of the disclosure, the device
700 can be applied in mobile terminal, wherein, mobile terminal can be that mobile phone, tablet computer, intelligent wearable device etc. have
The electronic equipment of call function, as described in Figure 7, the device 700 include noise signal acquisition module 701, characteristics extraction module
702nd, transport condition judgment module 703 and refusal respond module 704.
The noise signal acquisition module 701, for when detecting call trigger signal, obtaining the internal car noise letter of vehicle
Number；
This feature value extraction module 702, for carrying out time and frequency domain analysis to the internal car noise signal, described in extraction
The characteristic value of internal car noise signal；
The transport condition judgment module 703 for the characteristic value according to the internal car noise signal, judges that the vehicle is
It is no to be in transport condition；
The refusal respond module 704, for when the vehicle is in transport condition, call triggering described in refusal respond to be believed
Number.
Optionally, as shown in figure 8, the characteristics extraction module 702 includes：
Noise signal section extracting sub-module 721 is located at default model for extracting amplitude from the internal car noise signal
Enclose interior continuing noise signal segment；
Frequency spectrum acquisition submodule 722 for carrying out Fourier transformation to the continuing noise signal segment, obtains described continuous
The frequency spectrum of noise signal section；
Power spectral density acquisition submodule 723 for the frequency spectrum according to the continuing noise signal segment, obtains described continuous
The default octave power spectral density of noise signal section, wherein, the characteristic value includes the frequency spectrum of the continuing noise signal segment
With default octave power spectral density.
Optionally, as shown in figure 8, the transport condition judgment module 703 includes：
Transport condition determination sub-module 731, for meeting preset condition and institute in the frequency spectrum of the continuing noise signal segment
When stating the default octave power spectral density of continuing noise signal segment less than predetermined power spectrum density threshold value, determine at the vehicle
In transport condition.
Optionally, as shown in figure 8, described device 700 further includes：
Training sample acquisition module 705 is made for obtaining internal car noise signal of the different vehicle under different transport conditions
For training sample；
Training sample analysis module 706 for carrying out time and frequency domain analysis to the training sample, obtains the training
The frequency spectrum of sample and predetermined power spectrum density；
Setup module 707, for setting the preset condition and according to the training according to the frequency spectrum of the training sample
The default octave power spectral density of sample sets the predetermined power spectrum density threshold value.
About the device in above-described embodiment, wherein modules perform the concrete mode of operation in related this method
Embodiment in be described in detail, explanation will be not set forth in detail herein.
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 call control method that disclosure offer is provided when being executed by processor.
Fig. 9 is the frame according to a kind of device 900 for call control method shown in one exemplary embodiment of the disclosure
Figure.For example, device 900 can be mobile phone, and computer, digital broadcast terminal, messaging devices, tablet device, individual
Digital assistants etc..
With reference to Fig. 9, device 900 can include following one or more components：Processing component 902, memory 904, electric power
Component 906, multimedia component 908, audio component 910, the interface 912 of input/output (I/O), sensor module 914 and
Communication component 916.
The integrated operation of 902 usual control device 900 of processing component, such as with display, call, data communication, phase
Machine operates and record operates associated operation.Processing component 902 can refer to including one or more processors 920 to perform
It enables, to complete all or part of step of above-mentioned call control method.In addition, processing component 902 can include one or more
A module, convenient for the interaction between processing component 902 and other assemblies.For example, processing component 902 can include multimedia mould
Block, to facilitate the interaction between multimedia component 908 and processing component 902.
Memory 904 is configured as storing various types of data to support the operation in device 900.These data are shown
Example includes the instruction of any application program or method for being operated on device 900.Memory 904 can be by any kind of
Volatibility or non-volatile memory device or combination thereof are realized, such as static RAM (SRAM), electrically erasable
Except programmable read only memory (EEPROM), Erasable Programmable Read Only Memory EPROM (EPROM), programmable read only memory
(PROM), read-only memory (ROM), magnetic memory, flash memory, disk or CD.
Electric power assembly 906 provides electric power for the various assemblies of device 900.Electric power assembly 906 can include power management system
System, one or more power supplys and other generate, manage and distribute electric power associated component with for device 900.
Multimedia component 908 is included in the screen of one output interface of offer between described device 900 and user.One
In a little embodiments, screen can 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 908 includes a front camera and/or rear camera.When device 900 is in operation mode, such as screening-mode or
During 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 910 is configured as output and/or input audio signal.For example, audio component 910 includes a Mike
Wind (MIC), when device 900 is in operation mode, during such as call model, logging mode and speech recognition mode, microphone by with
It is set to reception external audio signal.The received audio signal can be further stored in memory 904 or via communication set
Part 916 is sent.In some embodiments, audio component 910 further includes a loud speaker, for exports audio signal.
I/O interfaces 912 provide interface between processing component 902 and peripheral interface module, and above-mentioned peripheral interface module can
To be keyboard, click wheel, button etc..These buttons may include but be not limited to：Home button, volume button, start button and lock
Determine button.
Sensor module 914 includes one or more sensors, and the state for providing various aspects for device 900 is commented
Estimate.For example, sensor module 914 can detect opening/closed state of device 900, and the relative positioning of component, for example, it is described
Component is the display and keypad of device 900, and sensor module 914 can be with 900 1 components of detection device 900 or device
Position change, the existence or non-existence that user contacts with device 900,900 orientation of device or acceleration/deceleration and device 900
Temperature change.Sensor module 914 can include proximity sensor, be configured to detect without any physical contact
Presence of nearby objects.Sensor module 914 can also include optical sensor, such as CMOS or ccd image sensor, for into
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 916 is configured to facilitate the communication of wired or wireless way between device 900 and other equipment.Device
900 can access the wireless network based on communication standard, such as WiFi, 2G or 3G or combination thereof.In an exemplary implementation
In example, communication component 916 receives broadcast singal or broadcast related information from external broadcasting management system via broadcast channel.
In one exemplary embodiment, the communication component 916 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 900 can be believed by one or more application 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, for performing above-mentioned call control method.
In the exemplary embodiment, a kind of non-transitorycomputer readable storage medium including instructing, example are additionally provided
Such as include the memory 904 of instruction, above-metioned instruction can be performed to complete above-mentioned call controlling party by the processor 920 of device 900
Method.For example, the non-transitorycomputer readable storage medium can be ROM, random access memory (RAM), CD-ROM, magnetic
Band, floppy disk and optical data storage devices etc..
Those skilled in the art will readily occur to other embodiment party of the disclosure after considering specification and putting into practice 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 principle of the disclosure and including the undocumented common knowledge in the art of the disclosure or usual skill
Art means.Description and embodiments are considered only as illustratively, and the true scope and spirit of the disclosure are by following claim
It points out.
The preferred embodiment of the disclosure is described in detail above in association with attached drawing, still, the disclosure is not limited to above-mentioned reality
The detail in mode is applied, in the range of the technology design of the disclosure, a variety of letters can be carried out to the technical solution of the disclosure
Monotropic type, these simple variants belong to the protection domain of the disclosure.
It is further to note that specific technical features described in the above specific embodiments, in not lance
In the case of shield, it can be combined by any suitable means.In order to avoid unnecessary repetition, the disclosure to it is various can
The combination of energy no longer separately illustrates.
In addition, arbitrary combination can also be carried out between a variety of different embodiments of the disclosure, as long as it is without prejudice to originally
Disclosed thought should equally be considered as disclosure disclosure of that.
Claims (10)
1. a kind of call control method, which is characterized in that including：
When detecting call trigger signal, the internal car noise signal of vehicle is obtained；
Time and frequency domain analysis is carried out to the internal car noise signal, extracts the characteristic value of the internal car noise signal；
According to the characteristic value of the internal car noise signal, judge the vehicle whether in transport condition；
When the vehicle is in transport condition, trigger signal of conversing described in refusal respond.
2. according to the method described in claim 1, it is characterized in that, described carry out time domain and frequency domain to the internal car noise signal
The characteristic value of the internal car noise signal is extracted in analysis, including：
The continuing noise signal segment that amplitude is located in preset range is extracted from the internal car noise signal；
Fourier transformation is carried out to the continuing noise signal segment, obtains the frequency spectrum of the continuing noise signal segment；
According to the frequency spectrum of the continuing noise signal segment, the default octave power spectrum of the continuing noise signal segment is obtained
Degree, wherein, the characteristic value includes the frequency spectrum of the continuing noise signal segment and default octave power spectral density.
3. according to the method described in claim 2, it is characterized in that, the characteristic value according to the internal car noise signal, sentences
Whether the vehicle that breaks is in transport condition, including：
If the frequency spectrum of the continuing noise signal segment meets the default octave work(of preset condition and the continuing noise signal segment
Rate spectrum density is less than predetermined power spectrum density threshold value, it is determined that the vehicle is in transport condition.
4. according to the method described in claim 3, it is characterized in that, the method further includes：
Internal car noise signal of the different vehicle under different transport conditions is obtained as training sample；
Time and frequency domain analysis is carried out to the training sample, obtains the frequency spectrum of the training sample and default octave power spectrum
Density；
The preset condition is set and according to the default octave power of the training sample according to the frequency spectrum of the training sample
Spectrum density sets the predetermined power spectrum density threshold value.
5. a kind of call control apparatus, which is characterized in that including：
Noise signal acquisition module, for when detecting call trigger signal, obtaining the internal car noise signal of vehicle；
Characteristics extraction module for carrying out time and frequency domain analysis to the internal car noise signal, extracts the internal car noise
The characteristic value of signal；
Whether transport condition judgment module for the characteristic value according to the internal car noise signal, judges the vehicle in row
Sail state；
Refusal respond module, for trigger signal of when the vehicle is in transport condition, conversing described in refusal respond.
6. device according to claim 5, which is characterized in that the characteristics extraction module includes：
Noise signal section extracting sub-module, for extracting the company that amplitude is located in preset range from the internal car noise signal
Continuous noise signal section；
Frequency spectrum acquisition submodule for carrying out Fourier transformation to the continuing noise signal segment, obtains the continuing noise letter
The frequency spectrum of number section；
Power spectral density acquisition submodule for the frequency spectrum according to the continuing noise signal segment, obtains the continuing noise letter
The default octave power spectral density of number section, wherein, the characteristic value includes the frequency spectrum of the continuing noise signal segment and presets
Octave power spectral density.
7. device according to claim 6, which is characterized in that the transport condition judgment module includes：
Transport condition determination sub-module, for meeting preset condition in the frequency spectrum of the continuing noise signal segment and described continuously making an uproar
When the default octave power spectral density of acoustical signal section is less than predetermined power spectrum density threshold value, determine that the vehicle is in traveling shape
State.
8. device according to claim 7, which is characterized in that described device further includes：
Training sample acquisition module, for obtaining internal car noise signal of the different vehicle under different transport conditions as training sample
This；
Training sample analysis module for carrying out time and frequency domain analysis to the training sample, obtains the training sample
Frequency spectrum and predetermined power spectrum density；
Setup module, for setting the preset condition and according to the pre- of the training sample according to the frequency spectrum of the training sample
If octave power spectral density sets the predetermined power spectrum density threshold value.
9. a kind of call control apparatus, which is characterized in that including：
Processor；
For storing the memory of processor-executable instruction；
Wherein, the processor is configured as performing such as claim 1-4 any one of them call control methods.
10. 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 1-4 the methods are realized when being executed by processor.
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| CN108234756B (en) | 2020-10-30 |
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