CN108882291B - Voice quality evaluation method and device - Google Patents
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- H—ELECTRICITY
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- 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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- H04B17/309—Measuring or estimating channel quality parameters
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Abstract
The embodiment of the application discloses a voice quality evaluation method, relates to the technical field of communication, and aims to solve the problems that the voice quality of a network cannot be evaluated in real time and the accuracy of an evaluation result is poor in the prior art. The method is applied to a VoWiFi scene, in which a calling terminal accesses a WiFi network and initiates a call through the WiFi network, and a called terminal accesses the call through a cellular network. The method comprises the following steps: and acquiring the signal intensity of the WiFi network accessed by the calling terminal when the calling terminal initiates a call. The received signal strength when the called terminal accesses the call through the cellular network is obtained. And determining a voice quality evaluation result of the call according to the signal intensity of the WiFi network accessed by the calling terminal when the calling terminal initiates the call, the received signal intensity of the called terminal when the called terminal accesses the call through the cellular network and a preset evaluation model.
Description
Technical Field
The present application relates to the field of communications technologies, and in particular, to a method and an apparatus for evaluating voice quality.
Background
Currently, operators have gradually opened Wi-Fi (Wi-Fi) and cellular network based voice over wireless fidelity (VoWiFi) services through their core networks to compensate for the user's demand for voice calls. In order to improve the VoWiFi service continuously, the voice quality of VoWiFi needs to be evaluated.
In the prior art, methods for evaluating voice quality mainly include a subjective voice evaluation method and an objective voice evaluation method. The subjective speech evaluation method needs to acquire source speech and test speech, and the final speech quality is determined by manually comparing and scoring the source speech and the test speech. The objective speech evaluation method generally uses some objective parameters in the network to reflect speech quality, such as signal-to-noise ratio, bit error rate, reception quality, etc. These parameters are too many and some parameters have little relevance to VoWiFi, so when applied to evaluating the voice quality of VoWiFi, the obtained evaluation result has poor accuracy.
Disclosure of Invention
The application provides a voice quality evaluation method and device, which can evaluate the voice quality of a network in real time and improve the accuracy of an evaluation result.
In order to achieve the purpose, the technical scheme is as follows:
in a VoWiFi scenario, a calling terminal accesses a WiFi network and initiates a call through the WiFi network, and a called terminal accesses the call through a cellular network. The method comprises the following steps: and acquiring the signal intensity of a WiFi network accessed by the calling terminal when the calling terminal initiates a call. And acquiring the received signal strength when the called terminal accesses the call through the cellular network. And determining a voice quality evaluation result of the call according to the signal intensity of a WiFi network accessed by the calling terminal when the calling terminal initiates the call, the received signal intensity of a called terminal when the called terminal accesses the call through the cellular network and a preset evaluation model.
In a second aspect, a voice quality assessment apparatus is provided, which is applied to a VoWiFi scenario, in the VoWiFi scenario, a calling terminal accesses a WiFi network and initiates a call through the WiFi network, and a called terminal accesses the call through a cellular network; the device comprises: an obtaining unit, configured to obtain a signal strength of a WiFi network to which the calling terminal accesses when the calling terminal initiates a call; and acquiring the received signal strength when the called terminal accesses the call through the cellular network. And the processing unit is used for determining a voice quality evaluation result of the call according to the signal intensity of the WiFi network accessed by the calling terminal when the calling terminal initiates the call, the received signal intensity of the called terminal when the called terminal accesses the call through the cellular network and a preset evaluation model.
In a third aspect, an apparatus is provided, the apparatus comprising: a processor, a transceiver, and a memory. Wherein the memory is used to store one or more programs. The one or more programs include computer executable instructions that, when executed by the apparatus, cause the apparatus to perform the method for speech quality assessment according to any one of the implementations of the first aspect and the first aspect.
In a fourth aspect, a computer-readable storage medium is provided, where instructions are stored in the computer-readable storage medium, and when the instructions are executed by a computer, the computer executes the voice quality assessment method according to the first aspect and any implementation manner of the first aspect.
In a fifth aspect, a computer program product containing instructions is provided, wherein when the computer program product runs on a computer, the computer executes the speech quality assessment method according to the first aspect and any one of the implementation manners of the first aspect.
The voice quality evaluation method and the voice quality evaluation device provided by the embodiment of the application respectively acquire the signal intensity of a WiFi network accessed by a calling terminal when the calling terminal initiates a call and the received signal intensity of a called terminal when the called terminal accesses the call through a cellular network. And determining the voice quality evaluation result of the call according to the two parameters and a preset evaluation model. Because the two parameters can be acquired in real time in a specific call, the voice quality evaluation result of the call can be determined in real time. In addition, the inventor of the present application finds in research that the two parameters are parameters strongly correlated with the speech quality assessment result, and therefore, the accuracy of the speech quality assessment result determined based on the two parameters is higher.
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Fig. 1 is a schematic flowchart of a speech quality assessment method according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a speech quality assessment method provided in the embodiment of the present application in a specific application scenario;
fig. 3 is a schematic structural diagram of a speech quality assessment apparatus according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a speech quality assessment apparatus according to an embodiment of the present application.
Detailed Description
The terms "comprising" and "having," and any variations thereof, as referred to in the description of the present application, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements but may alternatively include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.
In the description of the present application, the meaning of "a plurality" means two or more unless otherwise specified.
The VoWiFi technology refers to that a terminal can access an Internet protocol multimedia subsystem (IMS) network between networks through a WiFi network to implement an IP-based voice call. Wherein the WiFi networks include a trusted WiFi network (alternatively described as a secure WiFi network) and an untrusted WiFi network (alternatively described as a non-secure WiFi network). Specific implementation of the VoWiFi technology can refer to related prior art, and is not described herein.
The VoWiFi scenario includes the following three: 1. the calling terminal accesses a WiFi network and initiates a call through the WiFi network, and the called terminal accesses the call through a cellular network. 2. The calling terminal initiates a call through a cellular network, and the called terminal accesses a WiFi network and accesses the call through the WiFi network. 3. The calling terminal accesses a WiFi network and initiates a call through the WiFi network, and the called terminal accesses the call through the WiFi network. The voice quality evaluation method provided by the embodiment of the application is mainly applied to the first VoWiFi scene.
The execution main body of the voice quality evaluation method provided by the embodiment of the application can be any network equipment, such as any core network or access network equipment, and can also be any server or terminal, such as a calling terminal or a called terminal. As shown in fig. 1, the speech quality assessment method provided in the embodiment of the present application includes the following steps 101 to 103:
101. and acquiring the signal intensity of the WiFi network accessed by the calling terminal when the calling terminal initiates a call.
The calling terminal is a terminal with a function of connecting a WiFi network, for example, a WiFi module is installed in the calling terminal. In addition, the calling terminal may measure the signal strength of the WiFi network to which it is connected.
Optionally, if the execution subject of the method is a called terminal, the called terminal receives a call request initiated by the calling terminal, where the call request carries the signal strength of a WiFi network accessed by the calling terminal when the calling terminal initiates a call.
Illustratively, to implement VoWiFi, a specific Application (APP) is pre-installed on the terminal. The calling user can operate the APP to initiate a call through the WiFi network, the call is transmitted to the called terminal through the IMS network, and the called terminal answers the call by the called user after a Circuit Switched Fallback (CSFB) technique is applied by the called terminal to fall back to a 2G or 3G network from a 4G network.
102. And acquiring the received signal strength when the called terminal accesses the call through the cellular network.
In the embodiment of the application, a call initiated by a calling terminal through a WiFi network is transmitted to a called terminal through an IMS network, and the called terminal drops the call back to a 2G network or a 3G network on a called side because the 4G network does not support a voice service. Therefore, the cellular network referred to in this step is a 2G network or a 3G network. If the called terminal drops the call back to the 3G network, the received signal strength referred to in this step is Received Signal Code Power (RSCP), and if the called terminal drops the call back to the 2G network, the received signal strength referred to in this step is received signal level (RxLev).
Optionally, if the execution subject of the method is a called terminal, the called terminal measures the received signal strength.
103. And determining a voice quality evaluation result of the call according to the signal intensity of the WiFi network accessed by the calling terminal when the calling terminal initiates the call, the received signal intensity of the called terminal when the called terminal accesses the call through the cellular network and a preset evaluation model.
Optionally, the preset evaluation model is a preset fitting formula, and then the step may be specifically implemented as: and respectively taking the signal intensity of a WiFi network accessed by the calling terminal when the calling terminal initiates a call and the received signal intensity of the called terminal when the called terminal accesses the call through the cellular network as input parameters of the preset fitting formula, and calculating according to the preset fitting formula to obtain a voice quality evaluation result of the call.
In the embodiment of the application, the signal intensity of a WiFi network accessed by a calling terminal when a call is made for multiple times, the received signal intensity of a called terminal when the call is made through a cellular network and an MOS value obtained by evaluating each call according to the existing Mean Opinion Score (MOS) subjective test method are collected, and a functional relation among the MOS value, the signal intensity of the WiFi network accessed by the calling terminal and the received signal intensity of the called terminal when the call is made through the cellular network is established to obtain a preset fitting formula. Illustratively, the preset fitting formula is a third-order fitting formula obtained by linear fitting, for example:
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
where f (W, R) is the voice quality assessment result of the call, more specifically the MOS value. The values of p00, p10, p01, p20, p11, p02, p30, p21, p12 and p03 are preset constants, W is the signal strength of the WiFi network accessed by the calling terminal, and R is the received signal strength when the called terminal accesses the call through the cellular network. Exemplary, possible values for p00, p10, p01, p20, p11, p02, p30, p21, p12, p03 are given. 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, and p03 ═ 0.01529.
It should be noted that the values of p00, p10, p01, p20, p11, p02, p30, p21, p12, and p03 are only exemplary, and the values may have small fluctuation.
Illustratively, the preset fitting formula is a second-order fitting formula obtained by linear fitting, for example: f (W, R) ═ p00+ p10 × W + p01 × R + p20 × W2+p11*W*R+p02*R2
Where f (W, R) is the voice quality assessment result of the call, more specifically the MOS value. The values of p00, p10, p01, p20, p11 and p02 are preset constants, W is the signal strength of the WiFi network accessed by the calling terminal, and R is the received signal strength when the called terminal accesses the call through the cellular network. Exemplary, possible values for p00, p10, p01, p20, p11, p02 are given. p 00-3.382, p 10-0.003, p 01-0.04549, p 20-0.07873, p 11-0.09994 and p 02-0.04854. Similarly, the values of p00, p10, p01, p20, p11 and p02 may fluctuate within a certain range, for example, the value of p00 is 3.382, and actually the value thereof may range from 3.371 to 3.394, and similarly, the value of p10 is 0.003, and actually the value thereof may range from-0.007574 to 0.01357. The value of p01 is 0.04549, and actually the value can be 0.03558-0.0554. The value of p20 is-0.07873, and actually the value can be-0.08633 to-0.07114. The value of p11 is-0.09994, and actually the value can be-0.1077-0.09217. The value of p02 is-0.04854, and actually the value can be-0.054 to-0.04308.
Illustratively, the preset fitting formula is a fourth-order fitting formula obtained by linear fitting, for example:
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
where f (W, R) is the voice quality assessment result of the call, more specifically the MOS value. The values of p00, p10, p01, p20, p11, p02, p30, p21, p12, p03, p40, p31, p22, p13 and p04 are preset constants, W is the signal strength of the WiFi network accessed by the calling terminal, and R is the received signal strength when the called terminal accesses the call through the cellular network. Exemplary, possible values of p00, p10, p01, p20, p11, p02, p30, p21, p12, p03, p40, p31, p22, p13, p04 are given. p00 ═ 3.368 (the value range of p 00: 3.336,3.399), p10 ═ 0.1015 (the value range of p 10: -0.1621, -0.04089), p01 ═ 0.1522 (the value range of p 01: -0.2067, -0.09759), p20 ═ 0.08376 (the value range of p 20: -0.1371, -0.03043), p11 ═ -0.05737 (the value range of p 11: -0.1201,0.005405), p02 ═ 0.02311 (the value range of p 02: -0.06554,0.01931), p30 ═ 0.08835 (the value range of p 30: 0.03993,0.1368), and p21 ═ 0.1661 (the value range of p 21: 0.1252, 0.2069).
It should be noted that, in other implementation manners, the preset fitting formula may also be a functional relationship between an MOS value obtained by using, as input parameters, the signal intensity of the WiFi network to which the calling terminal is accessed when the calling terminal initiates a call and the received signal intensity of the WiFi network to which the called terminal is accessed when the called terminal accesses a call through the cellular network, and using exponential fitting, logarithmic fitting, and the like, as input parameters, and the received signal intensity of the WiFi network to which the calling terminal is accessed when the called terminal accesses a call through the cellular network.
Based on the above various possible fitting formulas, in the specific implementation process of step 103, the signal strength of the WiFi network accessed by the calling terminal when the calling terminal initiates a call obtained in step 101 and the received signal strength of the called terminal when the called terminal accesses a call through the cellular network obtained in step 102 are respectively input into the fitting formulas, so that a corresponding MOS value, that is, a voice quality evaluation result of the call can be obtained.
Illustratively, the MOS subjective test methods are classified as follows:
| MOS | |
| 5 | Excellent |
| 4 | Good |
| 3 | Fair |
| 2 | Poor |
| 1 | Bad |
optionally, after the step 103, if the voice quality evaluation result of the call is smaller than a preset threshold, the user is prompted that the current voice call quality is poor, and the user may be asked whether to stop the call. Illustratively, the MOS value represents a voice quality evaluation result of the call, and the preset threshold is 3, when the MOS value obtained from the voice quality evaluation result of the call is less than 3, the current voice quality is poor, and the user is prompted, for example, the user is suggested to stop the current call.
Optionally, if an execution subject for executing the voice quality assessment method provided by the embodiment of the present application is a called terminal, the called terminal may further send a voice quality assessment result of the call to the calling terminal.
The voice quality evaluation method provided by the embodiment of the application respectively obtains the signal intensity of a WiFi network accessed by a calling terminal when the calling terminal initiates a call and the received signal intensity of a called terminal when the called terminal accesses the call through a cellular network. And determining the voice quality evaluation result of the call according to the two parameters and a preset evaluation model. Because the two parameters can be acquired in real time in a specific call, the voice quality evaluation result of the call can be determined in real time. In addition, the inventor of the present application finds in research that the two parameters are parameters strongly correlated with the speech quality assessment result, and therefore, the accuracy of the speech quality assessment result determined based on the two parameters is higher.
In order to more clearly illustrate the speech quality assessment method provided by the embodiment of the present application, the following description is made in detail with reference to specific application scenarios. In the application scenario, a calling terminal accesses a WiFi network and initiates a call through the WiFi network, and a called terminal accesses the call through a 3G network. The called terminal executes the voice quality evaluation method provided by the embodiment of the application. As shown in fig. 2, the method comprises the steps of:
201. the calling terminal sends an Invite request message to the called terminal, wherein the Invite request message carries the signal strength of the WiFi network accessed by the calling terminal when the calling terminal initiates a call.
Illustratively, a field for recording the signal Strength of the WiFi network is added in the Invite request message, for example, the field may be WiFi Strength.
202. The called terminal receives the Invite request message and measures Reference Signal Receiving Power (RSRP).
203. And the called terminal acquires and analyzes the signal strength of the WiFi network carried in the Invite request message.
It should be noted that the execution order of step 202 and step 203 is not limited in the embodiments of the present application. Step 202 and step 203 may be executed simultaneously or sequentially.
204. And the called terminal evaluates the voice quality of the call according to the signal strength of the WiFi network, the RSRP and a preset evaluation model.
205. The called terminal sends the 183Answer signaling to the calling terminal, and the 183Answer signaling carries the voice quality evaluation result.
It should be noted that, information is transmitted between the calling terminal and the called terminal through a Session Initiation Protocol (SIP) signaling, and the above-mentioned Invite request message, 183Answer signaling and the like all belong to SIP signaling, which may refer to the prior art specifically, and are not described herein again. In addition, fig. 2 only shows that SIP signaling is transmitted between the calling terminal and the called terminal in a simplified manner, in practical applications, signaling needs to pass through various network devices when the signaling is transmitted between the calling terminal and the called terminal, which is not shown in fig. 2, and specific implementation thereof may refer to an existing signaling flow of VoIP, and details are not repeated here.
In the embodiment of the present application, according to the method example, functional modules or functional units may be divided for a device or an apparatus that executes the voice quality assessment method, for example, each functional module or functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated module may be implemented in a form of hardware, or may be implemented in a form of a software functional module or a functional unit. The division of the modules or units in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
Fig. 3 shows a schematic diagram of a possible structure of the apparatus or device for performing the voice quality assessment method in the above embodiment. The device is applied to a VoWiFi scene, in the VoWiFi scene, a calling terminal accesses a WiFi network and initiates a call through the WiFi network, and a called terminal accesses the call through a cellular network. The apparatus 300 comprises: an acquisition unit 301, a processing unit 302 and a storage unit 303.
An obtaining unit 301, configured to obtain a signal strength of a WiFi network to which the calling terminal accesses when the calling terminal initiates a call; and acquiring the received signal strength when the called terminal accesses the call through the cellular network.
A processing unit 302, configured to determine a voice quality evaluation result of the call according to a signal strength of a WiFi network that the calling terminal accesses when the calling terminal initiates the call, a received signal strength when the called terminal accesses the call through the cellular network, and a preset evaluation model.
Optionally, the preset evaluation model is a preset fitting formula, and the processing unit 302 is further configured to calculate, according to the preset fitting formula, a voice quality evaluation result of the call by using, as input parameters of the preset fitting formula, the signal strength of a WiFi network to which the calling terminal is accessed when the calling terminal initiates the call and the received signal strength of the called terminal when the called terminal accesses the call through the cellular network, respectively.
Optionally, the preset 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) is a voice quality evaluation result of the call, values of p00, p10, p01, p20, p11, p02, p30, p21, p12, and p03 are preset constants, W is a signal strength of a WiFi network to which the calling terminal accesses, and R is a received signal strength when the called terminal accesses the call through the cellular network.
Optionally, the obtaining unit 301 is specifically configured to receive a call request initiated by the calling terminal, where the call request carries a signal strength of a WiFi network to which the calling terminal accesses when the calling terminal initiates a call.
Optionally, the apparatus further includes a sending unit, configured to send a voice quality evaluation result of the call to the calling terminal.
The storage unit 303 stores program codes and data, such as the signal strength of a WiFi network accessed by a calling terminal when the calling terminal initiates a call, and the received signal strength of a called terminal when accessing the call through the cellular network.
The voice quality assessment device provided by the embodiment of the application respectively obtains the signal intensity of a WiFi network accessed by a calling terminal when the calling terminal initiates a call and the received signal intensity of a called terminal when the called terminal accesses the call through a cellular network. And determining the voice quality evaluation result of the call according to the two parameters and a preset evaluation model. Because the two parameters can be acquired in real time in a specific call, the voice quality evaluation result of the call can be determined in real time. In addition, the inventor of the present application finds in research that the two parameters are parameters strongly correlated with the speech quality assessment result, and therefore, the accuracy of the speech quality assessment result determined based on the two parameters is higher.
Fig. 4 shows a schematic structural diagram of another possible apparatus or device for performing the voice quality assessment method in the above embodiment. The apparatus 400 comprises: a processor 402 and a communication interface 403. The processor 402 is configured to control and manage the actions of the device 400, e.g., to perform the steps performed by the processing unit 302 described above, and/or to perform other processes for the techniques described herein. The communication interface 403 is used to support communication between the device and other network entities, for example, to perform the steps performed by the obtaining unit 301 or the sending unit. The apparatus may further comprise a memory 401 and a bus 404, the memory 401 being used to store program codes and data of the device 400, such as signal strength of a WiFi network accessed by the calling terminal when the calling terminal initiates a call, and received signal strength when the called terminal accesses the call through the cellular network.
The processor 402 may be, among other things, a processor or controller in a network device that may implement or execute the various illustrative logical blocks, modules, and circuits described in connection with the disclosure herein. The processor or controller may be a central processing unit, general purpose processor, digital signal processor, application specific integrated circuit, field programmable gate array or other programmable logic device, transistor logic device, hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor may also be a combination of computing functions, e.g., comprising one or more microprocessors, DSPs, and microprocessors, among others.
The communication interface 403 may be embodied as a transceiver circuit.
Memory 401 may be a volatile memory, such as a random access memory; the memory may also include non-volatile memory, such as read-only memory, flash memory, a hard disk, or a solid state disk; the memory may also comprise a combination of memories of the kind described above.
The apparatus also includes a bus 404, which bus 404 may be an Extended Industry Standard Architecture (EISA) bus or the like. The bus 404 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 4, but this does not indicate only one bus or one type of bus.
The device provided by the embodiment of the application respectively obtains the signal intensity of the WiFi network accessed by the calling terminal when the calling terminal initiates a call and the received signal intensity of the called terminal when the called terminal accesses the call through the cellular network. And determining the voice quality evaluation result of the call according to the two parameters and a preset evaluation model. Because the two parameters can be acquired in real time in a specific call, the voice quality evaluation result of the call can be determined in real time. In addition, the inventor of the present application finds in research that the two parameters are parameters strongly correlated with the speech quality assessment result, and therefore, the accuracy of the speech quality assessment result determined based on the two parameters is higher.
Through the above description of the embodiments, it is clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules to complete all or part of the above described functions. For the specific working processes of the system, the apparatus and the unit described above, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not described here again.
The embodiment of the present application further provides a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when the instructions are executed by a computer, the computer executes each step in the method flow shown in the above method embodiment.
The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a Read-Only Memory (ROM), an Erasable Programmable Read-Only Memory (EPROM), a register, a hard disk, an optical fiber, a portable Compact Disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, any suitable combination of the above, or any other form of computer readable storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuit (ASIC). In embodiments of the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The above description is only an embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions within the technical scope of the present disclosure should be covered by the scope of the present application.
Claims (9)
1. A voice quality assessment method is characterized in that the method is applied to a VoWiFi scene, in the VoWiFi scene, a calling terminal accesses a WiFi network and initiates a call through the WiFi network, and a called terminal accesses the call through a cellular network; the method comprises the following steps:
acquiring the signal intensity of a WiFi network accessed by the calling terminal when the calling terminal initiates a call;
acquiring the received signal strength when the called terminal accesses the call through the cellular network;
determining a voice quality evaluation result of the call according to the signal intensity of a WiFi network accessed by the calling terminal when the calling terminal initiates the call, the received signal intensity of a called terminal when the called terminal accesses the call through the cellular network and a preset evaluation model;
the preset evaluation model is a preset fitting formula;
the determining the voice quality evaluation result of the call according to the signal strength of the WiFi network accessed by the calling terminal when the calling terminal initiates the call, the received signal strength of the called terminal when the called terminal accesses the call through the cellular network and a preset evaluation model comprises the following steps:
and respectively taking the signal intensity of a WiFi network accessed by the calling terminal when the calling terminal initiates a call and the received signal intensity of the called terminal when the called terminal accesses the call through the cellular network as input parameters of the preset fitting formula, and calculating according to the preset fitting formula to obtain a voice quality evaluation result of the call.
2. The speech quality assessment method according to claim 1, wherein said preset 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) is a voice quality evaluation result of the call, values of p00, p10, p01, p20, p11, p02, p30, p21, p12, and p03 are preset constants, W is a signal strength of a WiFi network to which the calling terminal accesses, and R is a received signal strength when the called terminal accesses the call through the cellular network.
3. The method according to any one of claims 1 to 2, wherein the obtaining the signal strength of the WiFi network accessed by the calling terminal when the calling terminal initiates a call comprises:
and receiving a call request initiated by the calling terminal, wherein the call request carries the signal intensity of a WiFi network accessed by the calling terminal when the calling terminal initiates a call.
4. The method of claim 3, wherein after determining the voice quality assessment result of the call according to the signal strength of the WiFi network accessed by the calling terminal when the calling terminal initiates the call, the received signal strength when the called terminal accesses the call through the cellular network, and a preset assessment model, the method further comprises:
and sending the voice quality evaluation result of the call to the calling terminal.
5. A voice quality assessment device is applied to a VoWiFi scene, in the VoWiFi scene, a calling terminal accesses a WiFi network and initiates a call through the WiFi network, and a called terminal accesses the call through a cellular network; the device comprises:
an obtaining unit, configured to obtain a signal strength of a WiFi network to which the calling terminal accesses when the calling terminal initiates a call; and obtaining the received signal strength when the called terminal accesses the call through the cellular network;
the processing unit is used for determining a voice quality evaluation result of the call according to the signal intensity of a WiFi network accessed by the calling terminal when the calling terminal initiates the call, the received signal intensity of a called terminal when the called terminal accesses the call through the cellular network and a preset evaluation model; the preset evaluation model is a preset fitting formula;
the processing unit is further configured to use, as input parameters of the preset fitting formula, the signal strength of a WiFi network to which the calling terminal is accessed when the calling terminal initiates a call and the received signal strength of the called terminal when the called terminal accesses the call through the cellular network, respectively, and calculate a voice quality evaluation result of the call according to the preset fitting formula.
6. The speech quality assessment apparatus according to claim 5, wherein said preset 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) is a voice quality evaluation result of the call, values of p00, p10, p01, p20, p11, p02, p30, p21, p12, and p03 are preset constants, W is a signal strength of a WiFi network to which the calling terminal accesses, and R is a received signal strength when the called terminal accesses the call through the cellular network.
7. The apparatus according to any one of claims 5 to 6, wherein the obtaining unit is specifically configured to receive a call request initiated by the calling terminal, where the call request carries a signal strength of a WiFi network accessed by the calling terminal when the calling terminal initiates a call.
8. An apparatus, characterized in that the apparatus comprises: a processor, a transceiver, and a memory, wherein the memory is configured to store one or more programs, the one or more programs including computer-executable instructions that, when executed by the device, are executed by the processor to cause the device to perform the speech quality assessment method of any one of claims 1 to 4.
9. A computer-readable storage medium, characterized in that instructions are stored in the computer-readable storage medium, and when the instructions are executed by a computer, the computer performs the speech quality assessment method according to any one of the preceding claims 1 to 4.
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| CN109890045B (en) * | 2019-01-09 | 2022-01-04 | Oppo广东移动通信有限公司 | Network threshold value determination method and device, storage medium and electronic equipment |
| CN112188006B (en) * | 2020-09-11 | 2021-06-04 | 广州宸祺出行科技有限公司 | Driver and passenger communication method and system based on personal privacy confidentiality |
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