Acoustic data processing method and device, electronic equipment and storage medium

Abstract

The invention discloses an acoustic data processing method and device, electronic equipment and a storage medium, and belongs to the technical field of data processing. The method comprises the following steps: in response to a user instruction, generating and displaying at least one post-processing result corresponding to acoustic data based on the acoustic data; the post-processing result comprises a first association relationship used for displaying acoustic data statistical information and / or a second association relationship used for displaying at least one acoustic simulation result, the post-processing method in the embodiment of the invention can generate and display the post-processing results corresponding to the plurality of acoustic data based on the user instruction, and the user experience is improved. The operation is simple, and the calculation efficiency of acoustic data post-processing is improved.

Description

Technical Field

[0001] This application relates to the field of data processing technology, specifically to a method, apparatus, electronic device, and storage medium for processing acoustic data. Background Technology

[0002] With the rapid development of computer technology, domestic and foreign automakers are focusing on establishing and improving numerical simulation capabilities, gradually replacing some wind tunnel tests. Numerical simulation requires low manpower and material costs, and the calculation results are unaffected by environmental factors such as temperature, air pressure, and background noise. It can be introduced early in vehicle development, helping to identify and solve wind noise problems in advance, improving development efficiency and saving development costs. When performing NVH wind noise simulation analysis, related technologies require acoustic solutions and post-processing analysis of the flow field results calculated by PowerFlow in PowerAcoustic to obtain sound pressure level curves. PowerAcoustics is an acoustic simulation software from Dassault Systèmes, France. It is highly specialized and complex to operate, presenting problems of operational complexity and low computational efficiency when post-processing wind noise curves. Summary of the Invention

[0003] This application provides a method, apparatus, electronic device, and storage medium for processing acoustic data, so as to simplify the operation steps of post-processing wind noise curves and improve the computational efficiency of post-processing.

[0004] In a first aspect, embodiments of this application provide a method for processing acoustic data, comprising the following steps: In response to user commands, generate and display post-processing results corresponding to at least one of the acoustic data based on the acoustic data; The post-processing results include a first correlation for displaying acoustic data statistics, and / or a second correlation for displaying at least one acoustic simulation result.

[0005] Optionally, the step of generating and displaying at least one post-processing result corresponding to the acoustic data based on the acoustic data in response to a user instruction includes: The acoustic data is processed to obtain an acoustic data array; Based on the acoustic data array and the user instructions, generate and display at least one post-processing result corresponding to the acoustic data array.

[0006] Optionally, processing the acoustic data to obtain an acoustic data array includes: The acoustic data is encoded and converted to obtain acoustic data text in a preset format; The acoustic data text is sliced ​​to obtain acoustic slice text; Extract acoustic parameters from the acoustic slice text based on the flag string; The acoustic parameters are classified to construct the acoustic data array.

[0007] Optionally, the encoding and conversion of the acoustic data to obtain acoustic data text in a preset format includes: The acoustic data is read in binary format to obtain the initial acoustic data; The identifiers of the initial acoustic data are retrieved, and the system document format corresponding to the initial acoustic data is determined based on the retrieval results; The initial acoustic data is read and encoded according to the system document format corresponding to the initial acoustic data to generate acoustic data text in a preset encoding format.

[0008] Optionally, the flag string includes at least one of the following: Data field identifier string, data field name identifier string, sound pressure level unit identifier string, reference sound pressure level identifier string, sound pressure level scatter data identifier string, speech intelligibility identifier string, free field loudness contribution identifier string, reverberant field loudness contribution identifier string, unweighted sound pressure level contribution identifier string, A-weighted sound pressure level contribution string, file name, file address.

[0009] Optionally, the first association relationship includes at least one of the following: Tables containing basic information about curves, statistics on sound pressure levels, statistics on speech intelligibility, and comparison of curves.

[0010] Optionally, the user instructions include: dragging the acoustic data, and / or checking the sound pressure level curve to be displayed, and / or editing the post-processing results.

[0011] Secondly, embodiments of this application also provide an acoustic data processing apparatus, the apparatus comprising: The generation and display module is used to: generate and display post-processing results corresponding to at least one type of acoustic data based on the acoustic data in response to user instructions; The post-processing results include a first correlation for displaying acoustic data statistics, and / or a second correlation for displaying at least one acoustic simulation result.

[0012] Thirdly, embodiments of this application also provide an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the computer program, when executed by the processor, implements the method as described in any of the above embodiments.

[0013] Fourthly, embodiments of this application also provide a computer-readable storage medium having a computer program stored thereon, the computer program being loaded by a processor to perform the steps of the method described in any of the above embodiments.

[0014] The acoustic data processing method provided in this application embodiment can generate and display post-processing results corresponding to at least one type of acoustic data based on user instructions. The post-processing results in this application embodiment include a first correlation representation for displaying statistical information of the acoustic data, and / or a second correlation relationship for displaying at least one acoustic simulation result. The post-processing method in this application embodiment can generate and display multiple post-processing results corresponding to acoustic data based on user instructions, simplifying operation and improving the computational efficiency of wind noise curve post-processing. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 A flowchart illustrating an acoustic data processing method provided in this application embodiment; Figure 2 A flowchart for determining an acoustic data array is provided in an embodiment of the present invention; Figure 3 An example diagram illustrating an acoustic data processing method provided in an embodiment of this application; Figure 4 The software operation steps corresponding to an acoustic data processing method provided in this application embodiment; Figure 5 This is a schematic diagram of the structure of an acoustic data processing device provided in an embodiment of this application. Detailed Implementation

[0017] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0018] In the description of this application, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicating orientation or positional relationships based on the orientation or positional relationships shown in the accompanying drawings, are used only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this application. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of the stated features. In the description of this application, "a plurality of" means two or more, unless otherwise explicitly specified.

[0019] "A and / or B" includes the following three combinations: A only, B only, and a combination of A and B.

[0020] The use of "applies to" or "configured to" in this application implies open and inclusive language, which does not exclude applicability to or configuration to devices performing additional tasks or steps. Additionally, the use of "based on" implies openness and inclusivity, because processes, steps, calculations, or other actions "based on" one or more of the stated conditions or values ​​may in practice be based on additional conditions or values ​​beyond those stated.

[0021] In this application, the term "exemplary" is used to mean "used as an example, illustration, or description." Any embodiment described as "exemplary" in this application is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is provided to enable any person skilled in the art to make and use this application. Details are set forth in the following description for purposes of explanation. It should be understood that those skilled in the art will recognize that this application can be made without using these specific details. In other instances, well-known structures and processes are not described in detail to avoid obscuring the description of this application with unnecessary detail. Therefore, this application is not intended to be limited to the embodiments shown, but is consistent with the broadest scope of the principles and features disclosed in this application.

[0022] Please see Figure 1 , Figure 1 A flowchart illustrating an acoustic data processing method provided in an embodiment of this application. See also... Figure 1 The method includes the following steps: S100: In response to a user instruction, generate and display post-processing results corresponding to at least one type of acoustic data based on the acoustic data.

[0023] The post-processing results include a first correlation for displaying acoustic data statistics and / or a second correlation for displaying at least one acoustic simulation result.

[0024] Acoustic data refers to the acoustic calculation results obtained by the acoustic solver. For example, acoustic data can be obtained by PowerAcoustics software by calculating the acoustic data corresponding to multiple models.

[0025] PowerAcoustics is an acoustic simulation software from Dassault Systèmes, France. It is a submodule of PowerFlow software and is used to receive the flow field calculation results obtained from PowerFlow and perform acoustic solutions on the flow field calculation results to obtain acoustic data.

[0026] The acoustic data can include sound pressure level data calculated from each acoustic panel, speech intelligibility data corresponding to each acoustic panel, and free-field loudness data corresponding to each acoustic panel. Among them, the acoustic panels are different acoustic regions or acoustic panels used to calculate and evaluate the contribution of in-vehicle noise in wind noise simulation analysis. For example, different acoustic panels can correspond to different simulation regions such as the windshield area, the door area, and the sunroof area.

[0027] The post-processing operations in this embodiment are mainly for the acoustic data calculated by the acoustic solver, and the user commands can be simple operations such as selection, editing, and dragging.

[0028] The first correlation is used to display statistical information of acoustic data, and the second correlation is used to display various acoustic simulation results. Both the first and second correlations can be displayed in the form of charts.

[0029] The technical solution of this application embodiment, in response to user instructions, can generate and display post-processing results corresponding to at least one type of acoustic data based on acoustic data. The post-processing results in this application embodiment include a first correlation representation for displaying statistical information of the acoustic data, and / or a second correlation relationship for displaying at least one acoustic simulation result. The post-processing method in this application embodiment, based on user instructions, can generate and display multiple post-processing results corresponding to acoustic data, is simple to operate, and improves the computational efficiency of wind noise curve post-processing.

[0030] In some embodiments, in response to a user instruction, a post-processing result corresponding to at least one type of acoustic data is generated and displayed based on the acoustic data, including: The acoustic data is processed to obtain an acoustic data array; Based on acoustic data arrays and user instructions, generate and display post-processing results corresponding to at least one acoustic data array.

[0031] When the acoustic solver runs on different operating systems, the corresponding acoustic data file formats vary. Therefore, it is necessary to encode and convert the acoustic data to achieve a unified data format. Then, based on the unified file data, the corresponding key information is extracted to obtain the corresponding acoustic data array. Based on the obtained acoustic data array, the corresponding post-processing results are generated.

[0032] Please see Figure 2 , Figure 2 This invention provides a flowchart for determining an acoustic data array. In this embodiment, acoustic data is processed to obtain an acoustic data array, including the following steps: S210. Encode and convert the acoustic data to obtain acoustic data text in a preset format.

[0033] S220. Perform data slicing on the acoustic data text to obtain acoustic slice text.

[0034] S230. Extract acoustic parameters from the acoustic slice text based on the flag string.

[0035] S240. Classify the acoustic parameters and construct an acoustic data array.

[0036] For example, the PowerAcoustics software can run on Linux or Windows systems. The acoustic data can be in SPL file format. Since the encoding formats of the acoustic data differ on these systems, encoding detection and conversion are required to unify it to a TXT text document format and encode it as UTF-8. Specifically, step S210 may include: S211. Read acoustic data in binary mode to obtain initial acoustic data.

[0037] S212. Retrieve the identifiers of the initial acoustic data and determine the system document format corresponding to the acoustic data based on the retrieval results.

[0038] The initial acoustic data is retrieved using the character 10 as the retrieval identifier. If character 10 is found, the character preceding it is retrieved, which is the key identifier. If the key identifier is not character 13, the SPL file can be determined to be a Linux format text document; otherwise, it is a Windows system format text document.

[0039] S213. Read the acoustic data according to the system document format corresponding to the acoustic data to generate acoustic data text in a preset encoding format.

[0040] In this embodiment of the application, after determining the text system format corresponding to the SPL file, the data is read line by line according to the corresponding system document format, stored in the SPL text array and encoded as UTF-8 to generate acoustic data text in a preset format.

[0041] In some embodiments, the flag string includes at least one of the following: The data field identifier string is NumDatasets, the data field name identifier string is DatasetNames, the sound pressure level unit identifier string is DataForm, the reference sound pressure level identifier string is P_Ref, the sound pressure level scatter data identifier strings are MultFactor and Articulation Index, the speech intelligibility identifier string is Articulation Index, the free field loudness contribution identifier string is Sones - free field, the reverberant field loudness contribution identifier string is Sones - diffuse field, the unweighted sound pressure level contribution identifier string is Overall, the A-weighted sound pressure level contribution string is Overall dBA, the file name, and the file address.

[0042] Based on the aforementioned flag string, line-by-line searches are performed in the acoustic data text of the preset format to extract acoustic parameters. The acoustic parameters may include flag string information and attribute information inherent in the sound pressure level curve.

[0043] Specifically, step S230 may include the following: (1) Identification of NumDatasets The specific method is as follows: perform a line-by-line search on the SPL text array, with the search string being "NumDatasets =". If the search result is true, stop the search, extract all the text after "NumDatasets =" in this line, and remove all spaces. The remaining string is then converted into NumDatasets data, which is the total number of data fields in the SPL text array.

[0044] (2) Identification of DatasetNames The specific method is as follows: perform line-by-line retrieval on the SPL text array, the retrieval string is "DatasetNames =", if the retrieval result is true, stop the retrieval, extract all the text segments after "DatasetNames =" in this line of text, and then search for "{" and "}", the data between the curly braces is the original text of DatasetNames, use "," to split the original text of DatasetNames, generate an array containing several members, each array member is the data field name in the current SPL text array, and its quantity is equal to the NumDatasets data in (1).

[0045] (3) DataForm recognition The specific method is as follows: perform a line-by-line search on the SPL text array, with the search string being "DataForm =". If the search result is true, stop the search and extract all the text segments after "DataForm =" in this line, which is the numerical unit of the SPL text.

[0046] (4) Identification of P_Ref The specific method is as follows: perform a line-by-line search on the SPL text array, with the search string being "P_Ref =". If the search result is true, stop the search and extract all the text segments after "P_Ref =" in this line, which is the reference sound pressure level of the SPL text, in Pa.

[0047] (5) Identification of overall and individual acoustic panel sound pressure level scatter data The specific method is as follows: The SPL text array is searched line by line, with the search strings being "MultFactor =" and "Articulation Index". If both are true, the search stops. The text between "MultFactor =" and "Articulation Index" is extracted from this line, representing the sound pressure level scatter plot data. This text segment is then separated by spaces to form an array with several members. The first array is the frequency point array, and subsequent data begins from the second array. The data names correspond to the field names in DatasetNames, and the number of array members corresponds to the number of NumDatasets data. All the data constitutes the overall sound pressure level scatter plot data and the sound pressure level scatter plot data for each acoustic board.

[0048] (6) Identification of Articulation Index The specific method is as follows: perform a line-by-line search on the SPL text array, with the search string being "ArticulationIndex". If the search result is true, stop the search and extract the entire text of the next line of this line, which is the speech intelligibility data of the SPL text.

[0049] (7) Identification of Sones-free field and Sones-diffuse field The specific method is as follows: perform a line-by-line search on the SPL text array, with the search string being "Sones - freefield". If the search result is true, stop the search and extract all the text of the next line of this line, which is the free field loudness data of the SPL text. The SPL text array is searched line by line, with the search string being "Sones - diffuse field". If the search result is true, the search stops and the entire text of the next line is extracted, which is the reverberation field loudness data of the SPL text.

[0050] (8) Overall and A-weighted sound pressure level data for each acoustic panel. The SPL text array is searched line by line, with the search string being "Overall". If the search result is true, the search stops and the entire next line of text is extracted, which is the unweighted sound pressure level contribution of each acoustic board in the SPL text. The SPL text array is searched line by line, with the search string being "Overall dBA". If the search result is true, the search stops and the entire next line of text is extracted, which is the A-weighted sound pressure level contribution of each acoustic board in the SPL text.

[0051] (9) File name recognition (10) Identification of file address.

[0052] In some embodiments, after obtaining the acoustic parameters, they are classified, analyzed, and organized to obtain an acoustic data array. For example, the acoustic data array in step S240 may specifically include the following field types: (1) NumDatasets (total number of data sets and number of data sets for each acoustic board) (2) DatasetNames (Overall and individual acoustic board names) (3) DataForm (sound pressure level unit) (4) P_Ref (reference sound pressure used for calculation) (5) MultFactor (the multiplier factor used in the calculation) (6) Articulation Index array (including the speech intelligibility contribution of each acoustic board) (7) Sones - free field array (including the free field loudness contribution of each acoustic plate) (8) Sones - diffuse field (including the loudness contribution of each acoustic plate to the reverberation field) (9) Overall dBA (including the A-weighted sound pressure level contribution of each acoustic panel) (10) Spectrum curves (including the spectrum curves of each acoustic plate) Each acoustic board's spectral curve includes two sets of coordinates: one set is the coordinate sequence of the center frequency point in one-third octave bands, and the other set is the sound pressure level coordinates corresponding to the frequency points.

[0053] Based on the above embodiments, by responding to the user's click operation on the calculation button, the corresponding information in the acoustic data array is extracted to generate the first association relationship.

[0054] In some embodiments, the first association includes at least one of the following: (1) Basic information table of curves, including the curve name, file path and name of each acoustic board; (2) Sound pressure level statistics table, including the curve name of each curve, the overall sound pressure level and the sound pressure level contribution of each acoustic plate; (3) AI statistics table for speech clarity, including the curve name of each curve, the overall AI and the AI ​​contribution of each acoustic board; (4) Curve comparison table, including the curve name, sound pressure level comparison data, and AI comparison data for each curve.

[0055] See further Figure 3 , Figure 3 This diagram illustrates an example of an acoustic data processing method provided in an embodiment of this application. After encoding and converting the acoustic data, performing slice analysis on the converted file information, and establishing an acoustic data array and outputting a statistical table, a sound pressure level curve is plotted based on user selection. Specifically, in the basic information table of the curves, based on the target curve selected by the user, such as the total sound pressure level curve and the sound pressure level contribution curve of each acoustic panel, the overall sound pressure level curve and the sound pressure level scatter plot data of each acoustic panel are plotted based on the extracted overall and individual panel sound pressure level curves.

[0056] The technical solution of this application embodiment, by generating statistical tables and multiple sound pressure level curves, can simultaneously compare the results of multiple models in both horizontal and vertical dimensions, making the results more intuitive.

[0057] Please see Figure 4 , Figure 4 The software operation steps corresponding to the acoustic data processing method provided in the embodiments of this application may include, in some embodiments, the above-mentioned user instructions including: dragging and dropping acoustic data, and / or checking the sound pressure level curve to be displayed, and / or editing the post-processing results.

[0058] In this embodiment, the user drags the source file of the acoustic data calculated by PowerAcoustics to the first selected position 41, clicks the calculation button at the second selected position 42, and then selects the third selected position 43 for post-processing according to the actual situation to generate the corresponding sound pressure level curve, thereby obtaining the post-processed result of the wind noise curve.

[0059] The technical solution of this application embodiment allows users to obtain statistical analysis results and curve generation results of multiple sound pressure level curves by simply making a selection operation when performing post-processing based on acoustic data. The generated post-processing results can also be freely edited. The operation is simple and avoids copyright issues caused by using acoustic solvers for post-processing. It also avoids cumbersome parameter settings and has low requirements for the user's professional skills. Compared with professional acoustic solvers, the software interface is cleaner, the layout is clearer, and it is more widely used.

[0060] Please see Figure 5 , Figure 5 This is a schematic diagram of an acoustic data processing apparatus provided in an embodiment of this application. See also... Figure 5 The post-processing device 500 includes a generation and display module 510.

[0061] The generation and display module 510 is used to: generate and display post-processing results corresponding to at least one type of acoustic data based on acoustic data in response to user instructions; The post-processing results include statistical tables for displaying acoustic data statistics, and / or sound pressure level graphs for displaying at least one acoustic simulation result.

[0062] In some embodiments, the generation and display module is specifically used for: The acoustic data is processed to obtain an acoustic data array; Based on acoustic data arrays and user instructions, generate and display post-processing results corresponding to at least one acoustic data array.

[0063] In some embodiments, the generation and display module includes an encoding conversion unit, a parameter extraction unit, and an array construction unit.

[0064] The encoding conversion unit is used to: encode and convert acoustic data to obtain acoustic data text in a preset format; A data slicing unit is used to perform data slicing processing on the acoustic data text to obtain acoustic slice text; The parameter extraction unit is used to: extract acoustic parameters from the acoustic slice text based on the flag string; Array building units are used to classify acoustic parameters and construct acoustic data arrays.

[0065] In some embodiments, the encoding conversion unit is specifically used for: Acoustic data is read in binary format to obtain initial acoustic data; The identifiers of the initial acoustic data are retrieved, and the system document format corresponding to the initial acoustic data is determined based on the retrieval results; The initial acoustic data is read and encoded according to the system document format corresponding to the initial acoustic data to generate acoustic data text in a preset encoding format.

[0066] In some embodiments, the flag string includes at least one of the following: Data field identifier string, data field name identifier string, sound pressure level unit identifier string, reference sound pressure level identifier string, sound pressure level scatter data identifier string, speech intelligibility identifier string, free field loudness contribution identifier string, reverberant field loudness contribution identifier string, unweighted sound pressure level contribution identifier string, A-weighted sound pressure level contribution string, file name, file address.

[0067] In some embodiments, the first association includes at least one of the following: Tables containing basic information about curves, statistics on sound pressure levels, statistics on speech intelligibility, and comparison of curves.

[0068] In some embodiments, user instructions include: dragging acoustic data, and / or checking the sound pressure level curve to be displayed, and / or editing the post-processing results.

[0069] This embodiment also provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, it implements the method as described in any of the above embodiments.

[0070] This embodiment also provides a computer-readable storage medium having a computer program stored thereon, the computer program being loaded by a processor to perform the steps of any of the methods in the above embodiments.

[0071] In the embodiments of this application, the storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM), etc.

[0072] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0073] The above provides a detailed description of an acoustic data processing method, apparatus, electronic device, and storage medium provided in the embodiments of this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for processing acoustic data, characterized in that, include: In response to user commands, generate and display post-processing results corresponding to at least one of the acoustic data based on the acoustic data; The post-processing results include a first correlation for displaying acoustic data statistics, and / or a second correlation for displaying at least one acoustic simulation result.

2. The method according to claim 1, characterized in that, The step of responding to a user instruction by generating and displaying at least one post-processing result corresponding to the acoustic data based on the acoustic data includes: The acoustic data is processed to obtain an acoustic data array; Based on the acoustic data array and the user instructions, generate and display at least one post-processing result corresponding to the acoustic data array.

3. The method according to claim 2, characterized in that, The process of processing the acoustic data to obtain an acoustic data array includes: The acoustic data is encoded and converted to obtain acoustic data text in a preset format; The acoustic data text is sliced ​​to obtain acoustic slice text; Extract acoustic parameters from the acoustic slice text based on the flag string; The acoustic parameters are classified to construct the acoustic data array.

4. The method according to claim 3, characterized in that, The process of encoding and converting the acoustic data to obtain acoustic data text in a preset format includes: The acoustic data is read in binary format to obtain the initial acoustic data; The identifiers of the initial acoustic data are retrieved, and the system document format corresponding to the initial acoustic data is determined based on the retrieval results; The initial acoustic data is read and encoded according to the system document format corresponding to the initial acoustic data to generate acoustic data text in a preset encoding format.

5. The method according to claim 3, characterized in that, The flag string includes at least one of the following: Data field identifier string, data field name identifier string, sound pressure level unit identifier string, reference sound pressure level identifier string, sound pressure level scatter data identifier string, speech intelligibility identifier string, free field loudness contribution identifier string, reverberant field loudness contribution identifier string, unweighted sound pressure level contribution identifier string, A-weighted sound pressure level contribution string, file name, file address.

6. The method according to claim 3, characterized in that, The first association relationship includes at least one of the following: Tables containing basic information about curves, statistics on sound pressure levels, statistics on speech intelligibility, and comparison of curves.

7. The method according to any one of claims 1 to 6, characterized in that, The user instructions include: dragging the acoustic data, and / or selecting the sound pressure level curve to be displayed, and / or editing the post-processing results.

8. An acoustic data processing apparatus, characterized in that, include: The generation and display module is used to: generate and display post-processing results corresponding to at least one type of acoustic data based on the acoustic data in response to user instructions; The post-processing results include a first correlation for displaying acoustic data statistics, and / or a second correlation for displaying at least one acoustic simulation result.

9. An electronic device, characterized in that, It includes a memory and a processor, wherein the memory stores a computer program that, when executed by the processor, implements the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, It stores a computer program, which is loaded by a processor to perform the steps of the method according to any one of claims 1 to 7.

Images