CN108882291A - Speech quality assessment method and device - Google Patents
Speech quality assessment method and device Download PDFInfo
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- CN108882291A CN108882291A CN201811003742.4A CN201811003742A CN108882291A CN 108882291 A CN108882291 A CN 108882291A CN 201811003742 A CN201811003742 A CN 201811003742A CN 108882291 A CN108882291 A CN 108882291A
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- calling
- signal strength
- speech quality
- terminal
- calling terminal
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; 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
- G10L25/60—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 for measuring the quality of voice signals
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
- H04B17/318—Received signal strength
Abstract
The embodiment of the present application discloses a kind of speech quality assessment method, is related to field of communication technology, in order to solve the problems, such as that the voice quality that can not assess network in real time and assessment result accuracy existing in the prior art are poor and invent.This method is applied in VoWiFi scene, and in VoWiFi scene, calling terminal accesses WiFi network and initiates to call by WiFi network, and called terminal passes through cellular network access calling.This method includes：Obtain the signal strength that calling terminal initiates the WiFi network of calling terminal access when calling.Obtain received signal strength when called terminal passes through cellular network access calling.Received signal strength and default assessment models when the signal strength of the WiFi network of calling terminal access, called terminal pass through cellular network access calling when initiating to call according to calling terminal determine the speech quality evaluation result of calling.
Description
Technical field
This application involves field of communication technology more particularly to a kind of speech quality assessment methods and device.
Background technique
Currently, operator has gradually opened through Operator Core Network across Wireless Fidelity (wireless-
Fidelity, Wi-Fi) and cellular network voice (voice over Wi-Fi, VoWiFi) business based on Wi-Fi, be used for
Make up demand of the user to voice communication.In order to constantly improve VoWiFi business, need to assess the voice quality of VoWiFi.
In the prior art, the method for evaluating voice quality mainly includes Subjective speech evaluation method and objective voice evaluation side
Method.Wherein, Subjective speech evaluation method needs to obtain source voice and tested speech, by manually comparing source voice and tested speech
It gives a mark to determine that last voice quality, this method can not assess the voice quality of network in real time and need artificial participation, answer
It is poor with property.Objective voice evaluation method is usually to reflect voice quality, such as noise using some objective parameters in network
Than, the bit error rate, the quality of reception etc..These parameters are too many and some parameters and the relevance of VoWiFi are little, therefore are being applied to
When assessing the voice quality of VoWiFi, obtained assessment result accuracy is poor.
Summary of the invention
The application provides a kind of speech quality assessment method and device, while capable of assessing the voice quality of network in real time
Improve the accuracy of assessment result.
In order to achieve the above objectives, the application adopts the following technical scheme that：
In a first aspect, providing a kind of speech quality assessment method, it is applied in VoWiFi scene, in the VoWiFi scene
In, calling terminal accesses WiFi network and initiates to call by the WiFi network, and called terminal accesses institute by cellular network
State calling.The method includes：Obtain the letter that the calling terminal initiates the WiFi network of calling terminal access when calling
Number intensity.Obtain the received signal strength when called terminal accesses the calling by the cellular network.According to described
The signal strength of the calling terminal WiFi network that the calling terminal accesses when initiating calling, called terminal pass through the Cellular Networks
Received signal strength and default assessment models when network accesses the calling determine the speech quality evaluation result of the calling.
Second aspect provides a kind of speech quality evaluation device, is applied in VoWiFi scene, in the VoWiFi scene
In, calling terminal accesses WiFi network and initiates to call by the WiFi network, and called terminal accesses institute by cellular network
State calling；Described device includes：Acquiring unit, for obtaining the calling terminal access when calling terminal initiates to call
The signal strength of WiFi network；And the reception obtained when the called terminal accesses the calling by the cellular network is believed
Number intensity.Processing unit, the letter of the WiFi network of calling terminal access when for initiating to call according to the calling terminal
Received signal strength and default assessment models when number intensity, called terminal access the calling by the cellular network is true
The speech quality evaluation result of the fixed calling.
The third aspect, provides a kind of equipment, and the equipment includes：Processor, transceiver and memory.Wherein, memory
For storing one or more programs.The one or more program includes computer executed instructions, when equipment operation, processing
Device executes the computer executed instructions of memory storage, so that the equipment executes above-mentioned first aspect and first aspect is appointed
It anticipates speech quality assessment method described in a kind of implementation.
Fourth aspect provides a kind of computer readable storage medium, instruction is stored in computer readable storage medium, when
When computer executes the instruction, which is executed described in above-mentioned first aspect and first aspect any one implementation
Speech quality assessment method.
5th aspect, provides a kind of computer program product comprising instruction, when the computer program product is calculating
When running on machine, which executes voice quality described in above-mentioned first aspect and first aspect any one implementation
Appraisal procedure.
Speech quality assessment method and device provided by the embodiments of the present application obtain calling terminal respectively and initiate master when calling
The received signal strength when signal strength and called terminal of the WiFi network for making terminal access are by cellular network access calling.
And then the speech quality evaluation result of the calling is determined according to the two parameters and default assessment models.Due to above-mentioned two ginseng
Number can obtain in real time in certain specific calling, therefore, can determine the speech quality evaluation knot of certain calling in real time
Fruit.In addition, present inventor has found under study for action, the two parameters are the parameter with speech quality evaluation result strong correlation,
Therefore, determine that the accuracy of obtained speech quality evaluation result is higher based on the two parameters.
Detailed description of the invention
Fig. 1 is the flow diagram of speech quality assessment method provided by the embodiments of the present application；
Fig. 2 is flow diagram of the speech quality assessment method provided by the embodiments of the present application in concrete application scene；
Fig. 3 is a kind of structural schematic diagram of speech quality evaluation device provided by the embodiments of the present application；
Fig. 4 is another structural schematic diagram of speech quality evaluation device provided by the embodiments of the present application.
Specific embodiment
The term " includes " and " having " and their any deformation being previously mentioned in the description of the present application, it is intended that cover
It covers and non-exclusive includes.Such as it contains the process, method, system, product or equipment of a series of steps or units and does not limit
In listed step or unit, but optionally further comprising the step of other are not listed or unit, or optionally further comprising
For the intrinsic other step or units of these process, methods, product or equipment.
It should be noted that in the embodiment of the present application, " illustrative " or " such as " etc. words make example, example for indicating
Card or explanation.Be described as in the embodiment of the present application " illustrative " or " such as " any embodiment or design scheme do not answer
It is interpreted than other embodiments or design scheme more preferably or more advantage.Specifically, " illustrative " or " example are used
Such as " word is intended to that related notion is presented in specific ways.
In the description of the present application, unless otherwise indicated, the meaning of " plurality " is refer to two or more.
VoWiFi technology refers to that terminal can access interconnection protocol IP multimedia subsystem, IMS between network by WiFi network
(Internet protocol multimedia subsystem, IMS) network is to realize IP-based voice communication.Wherein,
The WiFi network include trusted WiFi network (being either described as safe WiFi network) and trustless WiFi network (or
It is described as non-security WiFi network).The specific implementation of VoWiFi technology can refer to related art, and details are not described herein again.
VoWiFi scene includes the following three types：1, calling terminal accesses WiFi network and is exhaled by WiFi network initiation
It cries, called terminal accesses the calling by cellular network.2, calling terminal initiates to call by cellular network, and called terminal connects
Enter WiFi network and the calling is accessed by the WiFi network.3, calling terminal accesses WiFi network and passes through the WiFi
Network-originated call, called terminal access the calling by WiFi network.Speech quality evaluation provided by the embodiments of the present application
Method is mainly used in the first above-mentioned VoWiFi scene.
The executing subject of speech quality assessment method provided by the embodiments of the present application can be arbitrary network equipment, such as any
Core net or access network equipment can also be any server or terminal, such as calling terminal or called terminal.As shown in Figure 1, this
The speech quality assessment method that application embodiment provides includes the following steps 101 to step 103：
101, the signal strength that calling terminal initiates the WiFi network of calling terminal access when calling is obtained.
Wherein, the calling terminal is the terminal for having connection WiFi network function, such as is equipped in the calling terminal
WiFi module.In addition, calling terminal can measure the signal strength of the WiFi network of its connection.
Optionally, the executing subject of this method is called terminal, then called terminal receives exhaling for the calling terminal initiation
Request is cried, the letter that the calling terminal initiates the WiFi network of calling terminal access when calling is carried in the call request
Number intensity.
Illustratively, in order to realize VoWiFi, installed in advance in terminal specific application program (application,
APP).Calling subscriber can operate the APP to initiate to call by WiFi network, which is transmitted to called whole by IMS network
End, called terminal application circuit domain dropping (circuit switched fallback, CSFB) technology fall back to 2G by 4G network
Or the calling is answered by called subscriber after 3G network.
102, received signal strength when called terminal accesses the calling by cellular network is obtained.
In the embodiment of the present application, the calling that calling terminal is initiated by WiFi network is transmitted to called whole via IMS network
End, since 4G network does not support voice service, in callee side, called terminal falls the calling to 2G network or 3G net after rise
Network.Therefore, the cellular network signified in this step is 2G network or 3G network.If called terminal falls the calling extremely after rise
3G network, then the received signal strength of this step meaning is received signal code power (received signal code
Power, RSCP), if called terminal falls the calling after rise into the 2G network received signal strength of this step meaning
For received signal level (received signal level, RxLev).
Optionally, the executing subject of this method is called terminal, then called terminal measures the received signal strength.
103, the signal strength of the WiFi network of calling terminal access, called terminal are logical when initiating to call according to calling terminal
Received signal strength and default assessment models when crossing cellular network access calling determine the speech quality evaluation result of calling.
Optionally, the default assessment models are default fitting formula, then the step can be implemented as：Respectively by institute
It states the signal strength of the WiFi network of the calling terminal access and the called terminal when calling terminal initiates calling and passes through institute
Input parameter of received signal strength when cellular network accesses the calling as the default fitting formula is stated, according to described
The speech quality evaluation result of the calling is calculated in default fitting formula.
In the embodiment of the present application, the signal strength of the WiFi network of calling terminal access when acquiring repeatedly calling is called
Received signal strength when terminal passes through cellular network access calling and according to existing average opinion value (Mean Opinion
Score, MOS) method for subjective testing MOS value that per call is assessed, establish MOS value, calling terminal access
The function between received signal strength three when the signal strength of WiFi network, called terminal pass through cellular network access calling
Relationship obtains default fitting formula.Illustratively, the default fitting formula is the three rank fitting formulas that linear fit obtains,
Such as：
F (W, R)=p00+p10*W+p01*R+p20*W2+p11*W*R+p02*R2+p30*W3+
p21*W2*R+p12*W*R2+p03*R3
Wherein, f (W, R) is the speech quality evaluation of the calling as a result, being more specifically MOS value.p00,p10,p01,
The value of p20, p11, p02, p30, p21, p12, p03 are preset constant, and W is the letter of the WiFi network of calling terminal access
Number intensity, R are received signal strength when called terminal accesses the calling by the cellular network.Illustratively, it provides
The possibility value of p00, p10, p01, p20, p11, p02, p30, p21, p12, p03.P00=3.354, p10=-0.02938,
P01=-0.06553, p20=-0.03809, p11=0.02356, p02=-0.02627, p30=0.01841, p21=
0.1021, p12=-0.03204, p03=0.01529.
It should be noted that the value of above-mentioned p00, p10, p01, p20, p11, p02, p30, p21, p12, p03 are only one
Kind is exemplary, and value can have lesser fluctuation.
Illustratively, the default fitting formula is the second-order fit formula that linear fit obtains, such as：F (W, R)=
p00+p10*W+p01*R+p20*W2+p11*W*R+p02*R2
Wherein, f (W, R) is the speech quality evaluation of the calling as a result, being more specifically MOS value.p00,p10,p01,
The value of p20, p11, p02 are preset constant, and W is the signal strength of the WiFi network of calling terminal access, and R is to be called eventually
The received signal strength when calling is accessed at end by the cellular network.Illustratively, provide p00, p10, p01, p20,
The possibility value of p11, p02.P00=3.382, p10=0.003, p01=0.04549, p20=-0.07873, p11=-
0.09994, p02=-0.04854.Similarly, the value of above-mentioned p00, p10, p01, p20, p11, p02 may be in a certain range
It is fluctuated, for example the value of p00 is 3.382, actually its value can be between 3.371~3.394, similarly, and p10's takes
Value is 0.003, and actually its value can be between -0.007574~0.01357.The value of p01 is 0.04549, actually
Its value can be between 0.03558~0.0554.The value of p20 be -0.07873, actually its value can -
Between 0.08633~-0.07114.The value of p11 is -0.09994, and actually its value can be -0.1077~-0.09217
Between.The value of p02 is -0.04854, and actually its value can be between -0.054~-0.04308.
Illustratively, the default fitting formula is the fourth order fits formula that linear fit obtains, such as：
F (W, R)=p00+p10*W+p01*R+p20*W2+p11*W*R+p02*R2+p30*W3+p21*W2*R+p12*W*R2+
p03*R3+p40*W4+p31*W3*R+p22*W2*R2+p13*W*R3+p04*R4
Wherein, f (W, R) is the speech quality evaluation of the calling as a result, being more specifically MOS value.p00,p10,p01,
The value of p20, p11, p02, p30, p21, p12, p03, p40, p31, p22, p13, p04 are preset constant, and W is that the caller is whole
Terminate into WiFi network signal strength, R is that reception when called terminal accesses the calling by the cellular network is believed
Number intensity.Illustratively, provide p00, p10, p01, p20, p11, p02, p30, p21, p12, p03, p40, p31, p22, p13,
The possibility value of p04.P00=3.368 (the value range of p00：3.336,3.399), p10=-0.1015 (the value model of p10
It encloses：- 0.1621, -0.04089), the p01=-0.1522 (value range of p01：- 0.2067, -0.09759), p20=-
0.08376 (the value range of p20：- 0.1371, -0.03043), the p11=-0.05737 (value range of p11：-0.1201,
0.005405), the p02=-0.02311 (value range of p02：- 0.06554,0.01931), (p30's takes p30=0.08835
It is worth range：0.03993,0.1368), the p21=0.1661 (value range of p21：0.1252,0.2069).
It should be noted that in other implementations, the default fitting formula can also be to initiate calling terminal
The signal strength and called terminal for the WiFi network that calling terminal accesses when calling pass through reception when cellular network access calling
MOS value that signal strength is obtained respectively as input parameter using the modes such as exponential fitting, logistic fit, calling terminal access
The function between received signal strength three when the signal strength called terminal of WiFi network is by cellular network access calling
Relationship.
Step 101 is obtained during the specific implementation of the step 103 based on above-mentioned various possible fitting formulas
Calling terminal to initiate the called terminal that the signal strength of the WiFi network of calling terminal access and step 102 obtain when calling logical
Received signal strength when crossing cellular network access calling is separately input in the fitting formula, and corresponding MOS value can be obtained,
That is the speech quality evaluation result of this calling.
Illustratively, the MOS method for subjective testing classification is as follows：
| MOS | |
| 5 | Excellent |
| 4 | Good |
| 3 | Fair |
| 2 | Poor |
| 1 | Bad |
Optionally, after the step 103, if the speech quality evaluation result of the calling is less than preset threshold
When, then it prompts user's current speech speech quality poor, can ask the user whether to stop call.Illustratively, MOS value expression is exhaled
The speech quality evaluation cried is as a result, the preset threshold is 3, then as the MOS that the speech quality evaluation result of this calling obtains
It indicates that current speech is second-rate when value is less than 3, then prompts user, user stops current talking such as suggested.
Optionally, if the executing subject for executing speech quality assessment method provided by the embodiments of the present application is called whole
End, then called terminal can also send the speech quality evaluation result of the calling to calling terminal.
Speech quality assessment method provided by the embodiments of the present application obtains calling terminal respectively and initiates calling terminal when calling
The signal strength and called terminal of the WiFi network of access pass through received signal strength when cellular network access calling.And then root
The speech quality evaluation result of the calling is determined according to the two parameters and default assessment models.Since above-mentioned two parameter can be with
It is obtained in real time in certain specific calling, therefore, can determine the speech quality evaluation result of certain calling in real time.This
Outside, present inventor has found under study for action, the two parameters are the parameter with speech quality evaluation result strong correlation, therefore,
Determine that the accuracy of obtained speech quality evaluation result is higher based on the two parameters.
For clearer explanation speech quality assessment method provided by the embodiments of the present application, below in conjunction with concrete application field
Scape is described in detail.In the application scenarios, calling terminal accesses WiFi network and initiates calling by the WiFi network, is called eventually
End passes through the 3G network access calling.Called terminal executes the speech quality assessment method provided by the embodiments of the present application.Such as Fig. 2
Shown, this approach includes the following steps：
201, calling terminal sends Invite request message to called terminal, and it is whole to carry caller in the Invite request message
Initiate the signal strength of the WiFi network of calling terminal access when calling in end.
Illustratively, increase the field for recording the signal strength of the WiFi network, example in Invite request message
Such as, which can be WiFi Strength.
202, called terminal receives the Invite request message, and measuring reference signals receive power (reference
Signal receiving power, RSRP).
203, called terminal obtains and parses the signal of the WiFi network entrained in the Invite request message
Intensity.
It should be noted that the embodiment of the present application do not limit step 202 and step 203 execute sequence.The step 202 and
Step 203, which can be performed simultaneously, successively to be executed.
204, called terminal assesses this according to the signal strength of the WiFi network, the RSRP and default assessment models
The voice quality of secondary calling.
205, called terminal sends the 183Answer signaling to calling terminal, carries voice in the 183Answer signaling
Quality assessment result.
It should be noted that passing through transmission session initiation protocol (session between calling terminal and called terminal
Initiation protocol, SIP) signaling information, Invite request message mentioned hereinbefore, 183Answer letter
Order etc. belongs to SIP signaling, specifically refers to the prior art, details are not described herein again.In addition, what is only simplified in Fig. 2 shows
SIP signaling is transmitted between calling terminal and called terminal, when transmitting signaling in practical application, between calling terminal and called terminal
Also to pass through the various network equipments, be not shown in Fig. 2, specific implementation can refer to the signaling process of existing VoIP, herein not
It repeats again.
The embodiment of the present application to the device for executing above-mentioned speech quality assessment method or can be set according to above method example
The standby division for carrying out functional module perhaps functional unit is for example, each functional module of each function division or function can be corresponded to
Energy unit, two or more functions can also be integrated in a processing module.Above-mentioned integrated module both can be with
Using formal implementation of hardware, can also be realized in the form of software function module or functional unit.Wherein, the application is real
Applying in example is schematical to the division of module or unit, and only a kind of logical function partition can have in actual implementation
Other division mode.
Fig. 3 shows one of the device of the above-mentioned speech quality assessment method of execution or equipment involved in above-described embodiment
The possible structural schematic diagram of kind.The device is applied in VoWiFi scene, in the VoWiFi scene, calling terminal access
WiFi network simultaneously is initiated to call by the WiFi network, and called terminal accesses the calling by cellular network.Described device
300 include：Acquiring unit 301, processing unit 302 and storage unit 303.
Acquiring unit 301, for obtaining the WiFi network that the calling terminal accesses when the calling terminal initiates calling
Signal strength；And obtain received signal strength when the called terminal accesses the calling by the cellular network.
Processing unit 302, the WiFi network of calling terminal access when for initiating to call according to the calling terminal
Signal strength, received signal strength and default assessment mould when called terminal accesses the calling by the cellular network
Type determines the speech quality evaluation result of the calling.
Optionally, the default assessment models are default fitting formula, and the processing unit 302 is also used to institute respectively
It states the signal strength of the WiFi network of the calling terminal access and the called terminal when calling terminal initiates calling and passes through institute
Input parameter of received signal strength when cellular network accesses the calling as the default fitting formula is stated, according to described
The speech quality evaluation result of the calling is calculated in default fitting formula.
Optionally, the default fitting formula is：
F (W, R)=p00+p10*W+p01*R+p20*W2+p11*W*R+p02*R2+p30*W3+p21*W2*R+p12*W*R2+
p03*R3
Wherein, f (W, R) be the calling speech quality evaluation as a result, p00, p10, p01, p20, p11, p02, p30,
The value of p21, p12, p03 are preset constant, and W is the signal strength of the WiFi network of calling terminal access, and R is to be called eventually
The received signal strength when calling is accessed at end by the cellular network.
Optionally, the acquiring unit 301, the call request initiated specifically for receiving the calling terminal are described to exhale
It cries and carries the signal strength that the calling terminal initiates the WiFi network of calling terminal access when calling in request.
Optionally, described device further includes transmission unit, and the voice quality for sending the calling to calling terminal is commented
Estimate result.
Storage unit 303 is stored with program code and data, calling terminal access when initiating to call such as calling terminal
The signal strength of WiFi network, received signal strength when called terminal accesses the calling by the cellular network.
Speech quality evaluation device provided by the embodiments of the present application obtains calling terminal respectively and initiates calling terminal when calling
The signal strength and called terminal of the WiFi network of access pass through received signal strength when cellular network access calling.And then root
The speech quality evaluation result of the calling is determined according to the two parameters and default assessment models.Since above-mentioned two parameter can be with
It is obtained in real time in certain specific calling, therefore, can determine the speech quality evaluation result of certain calling in real time.This
Outside, present inventor has found under study for action, the two parameters are the parameter with speech quality evaluation result strong correlation, therefore,
Determine that the accuracy of obtained speech quality evaluation result is higher based on the two parameters.
Fig. 4 shows the device of the above-mentioned speech quality assessment method of execution or equipment involved in above-described embodiment again
A kind of possible structural schematic diagram.Equipment 400 includes：Processor 402 and communication interface 403.Processor 402 is used for equipment
400 movement carries out control management, for example, executing the step of above-mentioned processing unit 302 executes, and/or for executing this paper institute
Other processes of the technology of description.Communication interface 403 is used to support the communication of the equipment Yu other network entities, for example, executing
The step of above-mentioned acquiring unit 301 or transmission unit execute.The device can also include memory 401 and bus 404, memory
401 for storing the program code and data of equipment 400, the WiFi that the calling terminal accesses when initiating to call such as calling terminal
The signal strength of network, received signal strength when called terminal accesses the calling by the cellular network.
Wherein, above-mentioned processor 402 can be processor or controller in the network equipment, and the processor or controller can
To realize or execute various illustrative logic blocks, module and circuit in conjunction with described in present disclosure.The processing
Device or controller can be central processing unit, general processor, digital signal processor, specific integrated circuit, field-programmable
Gate array or other programmable logic device, transistor logic, hardware component or any combination thereof.It may be implemented
Or it executes and combines various illustrative logic blocks, module and circuit described in present disclosure.The processor
It can be the combination for realizing computing function, such as combined comprising one or more microprocessors, the combination of DSP and microprocessor
Deng.
Communication interface 403 specifically can be implemented as transmission circuit.
Memory 401 can be volatile memory, such as random access memory；The memory also may include non-easy
The property lost memory, such as read-only memory, flash memory, hard disk or solid state hard disk；The memory can also include above-mentioned kind
The combination of the memory of class.
The device further includes bus 404, which can be expanding the industrial standard structure (Extended Industry
Standard Architecture, EISA) bus etc..Bus 404 can be divided into address bus, data/address bus, control bus
Deng.Only to be indicated with a thick line in Fig. 4, it is not intended that an only bus or a type of bus convenient for indicating.
Above equipment provided by the embodiments of the present application obtains calling terminal respectively and initiates calling terminal access when calling
The signal strength and called terminal of WiFi network pass through received signal strength when cellular network access calling.And then according to this two
A parameter and default assessment models determine the speech quality evaluation result of the calling.Since above-mentioned two parameter can be specific
Certain calling in obtain in real time, therefore, can determine in real time certain calling speech quality evaluation result.In addition, this Shen
Please inventor find that the two parameters are parameter with speech quality evaluation result strong correlation under study for action, therefore, based on this two
A parameter determines that the accuracy of obtained speech quality evaluation result is higher.
Through the above description of the embodiments, it is apparent to those skilled in the art that, for description
It is convenienct and succinct, only the example of the division of the above functional modules, in practical application, can according to need and will be upper
It states function distribution to be completed by different functional modules, i.e., the internal structure of device is divided into different functional modules, to complete
All or part of function described above.The specific work process of the system, apparatus, and unit of foregoing description, before can referring to
The corresponding process in embodiment of the method is stated, details are not described herein.
The embodiment of the present application also provides a kind of computer readable storage medium, and finger is stored in computer readable storage medium
It enables, when computer executes the instruction, which executes each step in method flow shown in above method embodiment.
Wherein, computer readable storage medium, such as electricity, magnetic, optical, electromagnetic, infrared ray can be but not limited to or partly led
System, device or the device of body, or any above combination.The more specific example of computer readable storage medium is (non-poor
The list of act) include：Electrical connection, portable computer diskette with one or more conducting wires, hard disk, random access memory
(Random Access Memory, RAM), read-only memory (Read-Only Memory, ROM), erasable type may be programmed read-only
It is memory (Erasable Programmable Read Only Memory, EPROM), register, hard disk, optical fiber, portable
Compact disc read-only memory (Compact Disc Read-Only Memory, CD-ROM), light storage device, magnetic memory
The computer readable storage medium of part or above-mentioned any appropriate combination or any other form well known in the art.
A kind of illustrative storage medium is coupled to processor, to enable a processor to from the read information, and can be to
Information is written in the storage medium.Certainly, storage medium is also possible to the component part of processor.Pocessor and storage media can be with
In application-specific IC (Application Specific Integrated Circuit, ASIC).In the application
In embodiment, computer readable storage medium can be any tangible medium for including or store program, which can be referred to
Enable execution system, device or device use or in connection.
The above, the only specific embodiment of the application, but the protection scope of the application is not limited thereto, it is any
Change or replacement within the technical scope of the present application should all be covered within the scope of protection of this application.
Claims (12)
1. a kind of speech quality assessment method, which is characterized in that it is applied in VoWiFi scene, in the VoWiFi scene,
Calling terminal accesses WiFi network and initiates to call by the WiFi network, and called terminal described in cellular network access by exhaling
It cries；The method includes：
Obtain the signal strength that the calling terminal initiates the WiFi network of calling terminal access when calling；
Obtain the received signal strength when called terminal accesses the calling by the cellular network；
The signal strength of the WiFi network of the calling terminal access, called terminal are logical when initiating to call according to the calling terminal
Cross the voice that received signal strength and default assessment models when the cellular network accesses the calling determine the calling
Quality assessment result.
2. speech quality assessment method according to claim 1, which is characterized in that the default assessment models are default quasi-
Close formula；The signal strength of the WiFi network of the calling terminal access, quilt when the initiation calling according to the calling terminal
Received signal strength and default assessment models when terminal being made to access the calling by the cellular network are exhaled described in determining
The speech quality evaluation cried is as a result, include：
The signal strength of the WiFi network of the calling terminal access and the quilt when respectively the calling terminal being initiated to call
Input of the received signal strength as default fitting formula when terminal being made to access the calling by the cellular network
The speech quality evaluation result of the calling is calculated according to the default fitting formula for parameter.
3. speech quality assessment method according to claim 2, which is characterized in that the default fitting formula is：
F (W, R)=p00+p10*W+p01*R+p20*W2+p11*W*R+p02*R2+p30*W3+p21*W2*R+p12*W*R2+p03*
R3
Wherein, f (W, R) be the calling speech quality evaluation as a result, p00, p10, p01, p20, p11, p02, p30, p21,
The value of p12, p03 are preset constant, and W is the signal strength of the WiFi network of calling terminal access, and R is logical for called terminal
Cross the received signal strength when cellular network accesses the calling.
4. speech quality assessment method according to any one of claims 1 to 3, which is characterized in that described to obtain the master
It is the signal strength for the WiFi network that the calling terminal accesses when terminal originated calls, including：
The call request that the calling terminal is initiated is received, the calling terminal is carried in the call request and initiates calling when institute
State the signal strength of the WiFi network of calling terminal access.
5. speech quality assessment method according to claim 4, which is characterized in that sent out described according to the calling terminal
The signal strength of the WiFi network of the calling terminal access, called terminal when calling is played to pass through described in cellular network access
After received signal strength and default assessment models when calling determine the speech quality evaluation result of the calling, the side
Method further includes：
The speech quality evaluation result of the calling is sent to calling terminal.
6. a kind of speech quality evaluation device, which is characterized in that it is applied in VoWiFi scene, in the VoWiFi scene,
Calling terminal accesses WiFi network and initiates to call by the WiFi network, and called terminal described in cellular network access by exhaling
It cries；Described device includes：
Acquiring unit, the signal for obtaining the WiFi network that the calling terminal accesses when the calling terminal initiates calling are strong
Degree；And obtain received signal strength when the called terminal accesses the calling by the cellular network；
Processing unit, the signal of the WiFi network of the calling terminal access is strong when for initiating to call according to the calling terminal
Received signal strength and default assessment models when degree, called terminal access the calling by the cellular network determine institute
State the speech quality evaluation result of calling.
7. speech quality evaluation device according to claim 6, which is characterized in that the default assessment models are default quasi-
Close formula；
The processing unit, the WiFi network of calling terminal access when being also used to initiate to call by the calling terminal respectively
Received signal strength when accessing the calling by the cellular network of signal strength and the called terminal be used as described in
The input parameter of default fitting formula, the speech quality evaluation knot of the calling is calculated according to the default fitting formula
Fruit.
8. speech quality evaluation device according to claim 7, which is characterized in that the default fitting formula is：
F (W, R)=p00+p10*W+p01*R+p20*W2+p11*W*R+p02*R2+p30*W3+p21*W2*R+p12*W*R2+p03*
R3
Wherein, f (W, R) be the calling speech quality evaluation as a result, p00, p10, p01, p20, p11, p02, p30, p21,
The value of p12, p03 are preset constant, and W is the signal strength of the WiFi network of calling terminal access, and R is logical for called terminal
Cross the received signal strength when cellular network accesses the calling.
9. according to the described in any item speech quality evaluation devices of claim 6 to 8, which is characterized in that the acquiring unit, tool
Body is used to receive the call request that the calling terminal is initiated, when carrying the calling terminal initiation calling in the call request
The signal strength of the WiFi network of the calling terminal access.
10. a kind of equipment, which is characterized in that the equipment includes：Processor, transceiver and memory, wherein memory is used for
One or more programs are stored, one or more of programs include computer executed instructions, when equipment operation, processing
Device executes the computer executed instructions of memory storage, so that described in one of any in equipment perform claim requirement 1 to 5
Speech quality assessment method.
11. a kind of computer readable storage medium, which is characterized in that be stored with instruction in computer readable storage medium, work as meter
When calculation machine executes the instruction, the computer execute it is one of any in the claims 1 to 5 described in speech quality evaluation side
Method.
12. a kind of computer program product comprising instruction, which is characterized in that when the computer program product on computers
When operation, the computer execute it is one of any in the claims 1 to 5 described in speech quality assessment method.
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