CN113055924A - Voice quality evaluation method and device and computer readable storage medium - Google Patents

Voice quality evaluation method and device and computer readable storage medium Download PDF

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CN113055924A
CN113055924A CN201911361343.XA CN201911361343A CN113055924A CN 113055924 A CN113055924 A CN 113055924A CN 201911361343 A CN201911361343 A CN 201911361343A CN 113055924 A CN113055924 A CN 113055924A
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frame error
rate
cell
evaluated
mean opinion
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CN113055924B (en
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陈守益
张霖
华成刚
卿晓春
金超
马磊
何德浩
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China Telecom Corp Ltd
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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
    • 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
    • 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/20—Arrangements for detecting or preventing errors in the information received using signal quality detector
    • H04L1/203—Details of error rate determination, e.g. BER, FER or WER
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0823—Errors, e.g. transmission errors
    • H04L43/0847—Transmission error
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Quality & Reliability (AREA)
  • Human Computer Interaction (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Acoustics & Sound (AREA)
  • Multimedia (AREA)
  • Computational Linguistics (AREA)
  • Environmental & Geological Engineering (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The present disclosure provides a method, an apparatus and a computer readable storage medium for evaluating voice quality, which relate to the technical field of communication, the method comprises: acquiring a frame error rate and a coding rate of a cell to be evaluated from a base station; and determining the mean opinion value of the cell to be evaluated according to the frame error rate and the coding rate of the cell to be evaluated.

Description

Voice quality evaluation method and device and computer readable storage medium
Technical Field
The present disclosure relates to the field of communications technologies, and in particular, to a method and an apparatus for evaluating voice quality, and a computer-readable storage medium.
Background
Mean Opinion Score (MOS) is an important indicator for measuring the voice quality of a communication system.
In the related art, the mean opinion value is obtained by a drive test mode. For example, a tester carries two test devices, and uses the two test devices to communicate in a test area, and further uses communication parameters generated in the communication process to calculate the mean opinion value.
Disclosure of Invention
The inventor has noted that the drive test method in the related art requires a lot of manpower and test equipment, and the test efficiency is low. In case the speech quality of many cells needs to be evaluated, the evaluation is inefficient. Also, some remote areas have difficulty in obtaining mean opinion values through testing due to limited testing areas.
In view of this, the embodiments of the present disclosure propose the following solutions.
According to an aspect of the embodiments of the present disclosure, there is provided a voice quality assessment method, including: acquiring a frame error rate and a coding rate of a cell to be evaluated from a base station; and determining the mean opinion value of the cell to be evaluated according to the frame error rate and the coding rate of the cell to be evaluated.
In some embodiments, determining the mean opinion value of the cell to be evaluated according to the frame error rate and the coding rate of the cell to be evaluated comprises: determining a formula corresponding to the cell to be evaluated according to the coding rate of the cell to be evaluated
Figure BDA0002337238990000011
Wherein MOS is an average opinion value, FER is a frame error rate, and A and B are constants; and calculating the mean opinion value of the cell to be evaluated by utilizing the frame error rate of the cell to be evaluated and a corresponding formula.
In some embodiments, a and B are obtained by: in the area with the frame error rate of 0, B corresponding to different encoding rates is obtained through testing; obtaining average opinion values corresponding to a plurality of frame error rates which are not 0 through testing aiming at B corresponding to each encoding rate; and determining A corresponding to each encoding rate according to B corresponding to each encoding rate, a plurality of frame error rates and the mean opinion value corresponding to each frame error rate.
In some embodiments, determining a for each encoding rate according to B for each encoding rate, a plurality of frame error rates, and a mean opinion value for each frame error rate comprises: determining a plurality of A corresponding to each encoding rate according to B corresponding to each encoding rate, a plurality of frame error rates and the mean opinion value corresponding to each frame error rate; and calculating the average value of a plurality of A, and taking the average value as A corresponding to each encoding rate.
According to another aspect of the embodiments of the present disclosure, there is provided a voice quality assessment apparatus including: the acquisition module is configured to acquire the frame error rate and the encoding rate of the cell to be evaluated from the base station; and the determining module is configured to determine the mean opinion value of the cell to be evaluated according to the frame error rate and the coding rate of the cell to be evaluated.
In some embodiments, the determination module is configured to: determining a formula corresponding to the cell to be evaluated according to the coding rate of the cell to be evaluated
Figure BDA0002337238990000021
Wherein MOS is an average opinion value, FER is a frame error rate, and A and B are constants; and calculating the mean opinion value of the cell to be evaluated by utilizing the frame error rate of the cell to be evaluated and a corresponding formula.
In some embodiments, a and B are obtained by: in the area with the frame error rate of 0, B corresponding to different encoding rates is obtained through testing; obtaining average opinion values corresponding to a plurality of frame error rates which are not 0 through testing aiming at B corresponding to each encoding rate; and determining A corresponding to each encoding rate according to B corresponding to each encoding rate, a plurality of frame error rates and the mean opinion value corresponding to each frame error rate.
In some embodiments, determining a for each encoding rate according to B for each encoding rate, a plurality of frame error rates, and a mean opinion value for each frame error rate comprises: determining a plurality of A corresponding to each encoding rate according to B corresponding to each encoding rate, a plurality of frame error rates and the mean opinion value corresponding to each frame error rate; and calculating the average value of a plurality of A, and taking the average value as A corresponding to each encoding rate.
According to still another aspect of the embodiments of the present disclosure, there is provided a voice quality assessment apparatus including: a memory; and a processor coupled to the memory, the processor configured to perform the method of any of the above embodiments based on instructions stored in the memory.
According to a further aspect of the embodiments of the present disclosure, there is provided a computer-readable storage medium having stored thereon computer program instructions, which when executed by a processor, implement the method according to any one of the embodiments described above.
In the embodiment of the disclosure, under the condition that the voice quality of a certain cell to be evaluated needs to be evaluated, the mean opinion value of the cell to be evaluated can be determined only by acquiring the frame error rate and the coding rate of the cell to be evaluated from the base station. In such a way, on one hand, the mean opinion value of the cell to be evaluated can be obtained without the need of drive test, and under the condition that the voice quality of a plurality of cells needs to be evaluated, the evaluation efficiency can be greatly improved, and the normal communication of the user cannot be influenced. On the other hand, the mean opinion value in a remote area can also be obtained.
The technical solution of the present disclosure is further described in detail by the accompanying drawings and examples.
Drawings
In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic flow diagram of a speech quality assessment method according to some embodiments of the present disclosure;
FIG. 2 is a schematic flow diagram of determining A and B according to some embodiments of the present disclosure;
FIG. 3 is a schematic block diagram of a speech quality assessment apparatus according to some embodiments of the present disclosure;
FIG. 4 is a schematic block diagram of a speech quality assessment apparatus according to further embodiments of the present disclosure;
fig. 5 is a diagram illustrating a comparison between the mean opinion values obtained by the present disclosure and the conventional drive test method.
Detailed Description
The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
The relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present disclosure unless specifically stated otherwise.
Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
Fig. 1 is a flow diagram of a speech quality assessment method according to some embodiments of the present disclosure.
In step 102, the frame error rate and the coding rate of the cell to be evaluated are obtained from the base station.
The base station performs Voice Quality Measurement (VQM), and obtains information such as a frame error rate and a coding rate of each cell after the measurement.
In step 104, the mean opinion value of the cell to be evaluated is determined according to the frame error rate and the coding rate of the cell to be evaluated.
In some embodiments, step 104 may be implemented according to the following: determining a formula corresponding to the cell to be evaluated according to the coding rate of the cell to be evaluated
Figure BDA0002337238990000041
Wherein MOS is an average opinion value, FER is a frame error rate, and A and B are constants; and then, calculating the mean opinion value of the cell to be evaluated by utilizing the frame error rate of the cell to be evaluated and a corresponding formula.
It should be understood that different coding rates correspond to different a and B. In the case where at least one of a and B is different, the formula between MOS and FER is also different. Thus, different encoding rates correspond to different formulas.
In the above embodiment, when the voice quality of a certain cell to be evaluated needs to be evaluated, the mean opinion value of the cell to be evaluated can be determined only by acquiring the frame error rate and the coding rate of the cell to be evaluated from the base station. In such a way, on one hand, the mean opinion value of the cell to be evaluated can be obtained without the need of drive test, and under the condition that the voice quality of a plurality of cells needs to be evaluated, the evaluation efficiency can be greatly improved, and the normal communication of the user cannot be influenced. On the other hand, the mean opinion value in a remote area can also be obtained.
Fig. 2 is a schematic flow diagram of determining a and B according to some embodiments of the present disclosure.
In step 202, in the region where the frame error rate is 0, B corresponding to different encoding rates is obtained through testing.
For example, whether the frame error rate is 0 may be determined according to an air interface packet loss condition. In an area with a good wireless environment, if the air interface has no packet loss, the frame error rate may be determined to be 0.
It is understood that according to
Figure BDA0002337238990000051
When the error rate FER is 0, MOS is B. Thus, the MOS obtained by the test is B.
The following table shows an example of B for different coding rates.
Encoding rate B
AMR23.2 4.3
AMR12.2 4.2
AMR10.2 4.1
AMR7.4 3.8
AMR5.9 3.6
In step 204, for B corresponding to each coding rate, a test is performed to obtain mean opinion values corresponding to a plurality of frame error rates other than 0.
After B is obtained, the corresponding mean opinion value may be tested by changing the frame error rate. In this way, mean opinion values corresponding to a plurality of frame error rates other than 0 can be obtained.
It should be understood that for each B above, mean opinion values corresponding to a plurality of frame error rates other than 0 can be obtained in the above manner.
In step 206, a corresponding to each encoding rate is determined according to B corresponding to each encoding rate, a plurality of frame error rates, and the mean opinion value corresponding to each frame error rate.
In some implementations, a plurality of a corresponding to each encoding rate may be determined according to B corresponding to each encoding rate, a plurality of frame error rates, and a mean opinion value corresponding to each frame error rate; further, an average value of a plurality of a is calculated, and the average value of a plurality of a is defined as a corresponding to each coding rate. This makes a more accurate for each code rate.
It should be understood that the above implementations are not limiting. For example, in other implementations, one of the mean opinion values corresponding to a plurality of frame error rates may be randomly selected as a corresponding to each encoding rate.
In the above manner, a corresponding to each coding rate can be obtained.
The following table shows an example of a and B for different coding rates.
Encoding rate B A
AMR23.2 4.3 -4.9
AMR12.2 4.2 -4.8
AMR10.2 4.1 -4.6
AMR7.4 3.8 -4.2
AMR5.9 3.6 -3.8
In the embodiment, only the drive test is needed to be carried out when the A and the B are determined, and after the A and the B are obtained subsequently, the mean opinion value can be directly calculated by using the formula, so that the obtaining process of the mean opinion value is greatly simplified, and the evaluation efficiency is improved.
After the mean opinion value of the cell to be evaluated is obtained, if the mean opinion value is smaller, the voice quality of the cell is poor. Subsequent analyses can be performed from the following: the method comprises the steps of alarming, covering, interference, capacity, packet loss rate, Key Performance Indicator (KPI) and adjacent cell configuration, finding out the reason of poor voice quality, and further eliminating cell interference, so that the mean opinion value of a cell is improved.
For coverage, analysis can be made from MR coverage, average Channel Quality Indication (CQI), uplink Modulation and Coding Strategy (MCS), unordered list/defined list (UL/DL), block error rate, etc. For interference, the uplink average interference noise may be analyzed. For capacity, the average number of users in a cell, the maximum number of Radio Resource Control (RRC) connected users in a cell, and the uplink and downlink Physical Resource Block (PRB) utilization rate may be analyzed. For the packet loss rate, the uplink and downlink packet loss rates may be analyzed. For KPIs, analysis can be performed from handover success rate, drop rate.
In the present specification, the embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts in the embodiments are referred to each other. For the embodiment of the voice quality assessment device, the description is simple because the embodiment of the voice quality assessment device basically corresponds to the embodiment of the method, and the relevant points can be referred to the partial description of the embodiment of the method.
Fig. 3 is a schematic structural diagram of a speech quality assessment apparatus according to some embodiments of the present disclosure.
As shown in fig. 3, the voice quality assessment apparatus of this embodiment includes an acquisition module 301 and a determination module 302.
The obtaining module 301 is configured to obtain the frame error rate and the encoding rate of the cell to be evaluated from the base station;
the determining module 302 is configured to determine the mean opinion value of the cell to be evaluated according to the frame error rate and the coding rate of the cell to be evaluated.
In the above embodiment, when the voice quality of a certain cell to be evaluated needs to be evaluated, the mean opinion value of the cell to be evaluated can be determined only by acquiring the frame error rate and the coding rate of the cell to be evaluated from the base station. In such a way, on one hand, the mean opinion value of the cell to be evaluated can be obtained without the need of drive test, and under the condition that the voice quality of a plurality of cells needs to be evaluated, the evaluation efficiency can be greatly improved, and the normal communication of the user cannot be influenced. On the other hand, the mean opinion value in a remote area can also be obtained.
In some implementations, the determination module 302 is configured to: determining a formula corresponding to the cell to be evaluated according to the coding rate of the cell to be evaluated
Figure BDA0002337238990000071
Wherein MOS is an average opinion value, FER is a frame error rate, and A and B are constants; and calculating the mean opinion value of the cell to be evaluated by utilizing the frame error rate of the cell to be evaluated and a corresponding formula.
In some implementations, a and B are obtained by: in the area with the frame error rate of 0, B corresponding to different encoding rates is obtained through testing; obtaining average opinion values corresponding to a plurality of frame error rates which are not 0 through testing aiming at B corresponding to each encoding rate; and determining A corresponding to each encoding rate according to B corresponding to each encoding rate, a plurality of frame error rates and the mean opinion value corresponding to each frame error rate. For example, a plurality of a corresponding to each encoding rate may be determined according to B corresponding to each encoding rate, a plurality of frame error rates, and a mean opinion value corresponding to each frame error rate; then, an average value of a plurality of a is calculated, and the average value of a plurality of a is taken as a corresponding to each encoding rate.
Fig. 4 is a schematic structural diagram of a speech quality assessment apparatus according to further embodiments of the present disclosure.
As shown in fig. 4, the speech quality assessment apparatus 400 of this embodiment includes a memory 401 and a processor 402 coupled to the memory 401, the processor 402 is configured to execute the method of any of the foregoing embodiments based on instructions stored in the memory 401.
The memory 401 may include, for example, a system memory, a fixed non-volatile storage medium, and the like. The system memory may store, for example, an operating system, application programs, a Boot Loader (Boot Loader), and other programs.
The voice quality evaluation apparatus 400 may further include an input-output interface 403, a network interface 404, a storage interface 404, and the like. The interfaces 403, 404 and the memory 401 and the processor 402 may be connected by a bus 406, for example. The input/output interface 403 provides a connection interface for input/output devices such as a display, a mouse, a keyboard, and a touch screen. The network interface 404 provides a connection interface for various networking devices. The storage interface 404 provides a connection interface for external storage devices such as an SD card and a usb disk.
Fig. 5 is a diagram illustrating a comparison between the mean opinion values obtained by the present disclosure and the conventional drive test method.
As shown in fig. 5, the disclosed method and the conventional drive test method have similar mean opinion values. Therefore, the scheme provided by the disclosure can be used for well evaluating the voice quality of the cell, the cost of manpower and material resources is greatly reduced, the operation and maintenance efficiency is improved, and the evaluation result is relatively accurate.
The disclosed embodiments also provide a computer-readable storage medium having stored thereon computer program instructions, which when executed by a processor, implement the method of any of the above embodiments.
The scheme provided by the embodiment of the disclosure is suitable for, but not limited to, a Long Term Evolution (LTE) network.
Thus, various embodiments of the present disclosure have been described in detail. Some details that are well known in the art have not been described in order to avoid obscuring the concepts of the present disclosure. It will be fully apparent to those skilled in the art from the foregoing description how to practice the presently disclosed embodiments.
As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable non-transitory storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the disclosure. It will be understood that the functions specified in one or more of the flows in the flowcharts and/or one or more of the blocks in the block diagrams can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Although some specific embodiments of the present disclosure have been described in detail by way of example, it should be understood by those skilled in the art that the foregoing examples are for purposes of illustration only and are not intended to limit the scope of the present disclosure. It will be understood by those skilled in the art that various changes may be made in the above embodiments or equivalents may be substituted for elements thereof without departing from the scope and spirit of the present disclosure. The scope of the present disclosure is defined by the appended claims.

Claims (10)

1. A speech quality assessment method, comprising:
acquiring a frame error rate and a coding rate of a cell to be evaluated from a base station;
and determining the mean opinion value of the cell to be evaluated according to the frame error rate and the coding rate of the cell to be evaluated.
2. The method of claim 1, wherein determining the mean opinion value for the cell under evaluation based on the frame error rate and the coding rate of the cell under evaluation comprises:
determining a formula corresponding to the cell to be evaluated according to the coding rate of the cell to be evaluated
Figure FDA0002337238980000011
Figure FDA0002337238980000012
Wherein MOS is an average opinion value, FER is a frame error rate, and A and B are constants;
and calculating the mean opinion value of the cell to be evaluated by utilizing the frame error rate of the cell to be evaluated and a corresponding formula.
3. The method of claim 2, wherein a and B are obtained by:
in the area with the frame error rate of 0, B corresponding to different encoding rates is obtained through testing;
obtaining average opinion values corresponding to a plurality of frame error rates which are not 0 through testing aiming at B corresponding to each encoding rate;
and determining A corresponding to each encoding rate according to B corresponding to each encoding rate, a plurality of frame error rates and the mean opinion value corresponding to each frame error rate.
4. The method of claim 3, wherein determining a for each encoding rate based on B for each encoding rate, the plurality of frame error rates, and the mean opinion value for each frame error rate comprises:
determining a plurality of A corresponding to each encoding rate according to B corresponding to each encoding rate, a plurality of frame error rates and the mean opinion value corresponding to each frame error rate;
and calculating the average value of a plurality of A, and taking the average value as A corresponding to each encoding rate.
5. A speech quality assessment apparatus comprising:
the acquisition module is configured to acquire the frame error rate and the encoding rate of the cell to be evaluated from the base station;
and the determining module is configured to determine the mean opinion value of the cell to be evaluated according to the frame error rate and the coding rate of the cell to be evaluated.
6. The apparatus of claim 5, wherein the determination module is configured to:
determining a formula corresponding to the cell to be evaluated according to the coding rate of the cell to be evaluated
Figure FDA0002337238980000021
Figure FDA0002337238980000022
Wherein, MOS is the mean opinion value,FER is the frame error rate, A and B are constants;
and calculating the mean opinion value of the cell to be evaluated by utilizing the frame error rate of the cell to be evaluated and a corresponding formula.
7. The apparatus of claim 6, wherein A and B are obtained by:
in the area with the frame error rate of 0, B corresponding to different encoding rates is obtained through testing;
obtaining average opinion values corresponding to a plurality of frame error rates which are not 0 through testing aiming at B corresponding to each encoding rate;
and determining A corresponding to each encoding rate according to B corresponding to each encoding rate, a plurality of frame error rates and the mean opinion value corresponding to each frame error rate.
8. The apparatus of claim 7, wherein determining a for each encoding rate based on B for each encoding rate, the plurality of frame error rates, and the mean opinion value for each frame error rate comprises:
determining a plurality of A corresponding to each encoding rate according to B corresponding to each encoding rate, a plurality of frame error rates and the mean opinion value corresponding to each frame error rate;
and calculating the average value of a plurality of A, and taking the average value as A corresponding to each encoding rate.
9. A speech quality assessment apparatus comprising:
a memory; and
a processor coupled to the memory, the processor configured to perform the method of any of claims 1-4 based on instructions stored in the memory.
10. A computer readable storage medium having computer program instructions stored thereon, wherein the instructions, when executed by a processor, implement the method of any of claims 1-4.
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