Digital textbook voice evaluation result display method and system

Abstract

The invention provides a digital textbook voice evaluation result display method and system, and relates to the technical field of data processing, and the method comprises the steps: obtaining the follow-up audio data of a text in a digital textbook, generating a corresponding follow-up score based on the follow-up audio data, the follow-up score comprising the follow-up score of each vocabulary in the text, and displaying the follow-up score of each vocabulary in the text according to the follow-up score of each vocabulary in the text. According to the read-after scores corresponding to the vocabularies in the same sentence, the read-after scores corresponding to the sentences are obtained, and the read-after scores corresponding to the sentences are displayed behind the corresponding sentences in the evaluation result in a dynamic drawing mode. Therefore, according to the method and the device, the read-after scores corresponding to the sentences can be displayed behind the corresponding sentences in the form of pictures, and no matter how long the sentence characters are, the scores can follow the sentences accurately. According to the image-text mixed arrangement display effect, the problem that the score display position is not fixed in a traditional method is solved, and the tedious work that each possible score needs to be made in advance and a large number of corresponding images need to be added into a project is avoided.

Description

Technical Field

[0001] This application relates to the technical field of data processing, and particularly to a method and system for displaying digital textbook speech evaluation results. Background Art

[0002] With the rapid development of digital education, speech evaluation technology plays an increasingly important role in language learning applications. This technology can automatically evaluate the pronunciation accuracy of users and provide instant feedback, thereby helping users improve their language pronunciation skills. However, there are some common problems in the implementation and display of evaluation results in existing speech evaluation systems, which limit the effectiveness of the technology and the user experience.

[0003] Therefore, there is an urgent need for a new technical solution to solve these problems in order to improve the performance of the speech evaluation system and user satisfaction. Summary of the Invention

[0004] In view of the above problems, this application provides a method for displaying digital textbook speech evaluation results, including the following:

[0005] In a first aspect, this application provides a method for displaying digital textbook speech evaluation results, the method including:

[0006] Obtain the follow-up audio data of the text in the digital textbook;

[0007] Generate corresponding follow-up scores based on the follow-up audio data, where the follow-up scores include the follow-up scores of each vocabulary in the text;

[0008] Obtain the follow-up score corresponding to the sentence according to the follow-up scores of the vocabularies in the same sentence;

[0009] In the evaluation result, display the follow-up score corresponding to the sentence behind the corresponding sentence by means of dynamic drawing.

[0010] Optionally, the method further includes:

[0011] In the display interface of the evaluation result, set words with different scores into different colors by using variable style strings.

[0012] Optionally, the step of displaying the follow-up score corresponding to the sentence behind the corresponding sentence by means of dynamic drawing in the evaluation result includes:

[0013] Dynamically draw a picture corresponding to the follow-up score according to the follow-up score of the sentence, and mix and arrange the sentence and the score picture by using variable style strings and custom picture styles, and the value corresponding to the follow-up score of the sentence is displayed in the picture.

[0014] Optionally, the method further includes:

[0015] In the display interface of the evaluation result, set a specified font for the sentences in the evaluation result, and set the preset keyword vocabulary in the sentences to italic.

[0016] Optionally, the setting of the specified font for the sentences includes:

[0017] Set the font of the sentence to the preset reference standard font.

[0018] Optionally, the setting of different scores of words into different colors by using a variable style string includes:

[0019] According to the follow-up reading scores of the vocabulary, assign corresponding colors to each vocabulary according to the preset configuration rules.

[0020] In a second aspect, the present application provides a digital textbook speech evaluation result display system, and the system includes:

[0021] An acquisition unit, configured to acquire the follow-up reading audio data of the text in the digital textbook;

[0022] A score generation unit, configured to generate corresponding follow-up reading scores based on the follow-up reading audio data, and the follow-up reading scores include the follow-up reading scores of each vocabulary in the text;

[0023] The score generation unit is further configured to obtain the follow-up reading score corresponding to the sentence according to the follow-up reading scores corresponding to the vocabulary in the same sentence;

[0024] A display unit, configured to display the follow-up reading score corresponding to the sentence behind the corresponding sentence in the evaluation result by means of dynamic drawing.

[0025] Optionally, the system further includes:

[0026] A color display unit, configured to set words with different scores into different colors by using a variable style string.

[0027] Optionally, the display unit is specifically configured to dynamically draw a picture corresponding to the follow-up reading score according to the follow-up reading score of the sentence, and mix and arrange the sentence and the score picture by using a variable style string and a custom picture style, and the value corresponding to the follow-up reading score of the sentence is displayed in the picture.

[0028] Optionally, the system further includes a font setting unit, configured to set a specified font for the sentences in the evaluation result display interface, and set the preset keyword vocabulary in the sentences to italic.

[0029] Optionally, the font setting unit is configured to set a specified font for the sentences in the evaluation result display interface, specifically including setting the font of the sentences to a preset reference standard font.

[0030] Optionally, the color display unit sets words with different scores to different colors by using variable style strings, including assigning corresponding colors to each word according to the follow-up reading score of the word according to a preset configuration rule.

[0031] In a third aspect, the present application provides a device, which includes a memory and a processor. The memory is used to store instructions or codes, and the processor is used to execute the instructions or codes so that the device executes the digital textbook speech evaluation result display method introduced in any implementation manner of the foregoing first aspect.

[0032] In a fourth aspect, the present application provides a computer-readable storage medium, in which codes are stored. When the codes are run, the device running the codes implements the digital textbook speech evaluation result display method introduced in any implementation manner of the foregoing first aspect.

[0033] The present application provides a method for displaying digital textbook speech evaluation results. The method includes obtaining follow-up reading audio data of the text in the digital textbook, generating corresponding follow-up reading scores based on the follow-up reading audio data. The follow-up reading scores include the follow-up reading scores of each word in the text. According to the follow-up reading scores corresponding to the words in the same sentence, the follow-up reading score corresponding to the sentence is obtained, and in the evaluation result, the follow-up reading score corresponding to the sentence is displayed behind the corresponding sentence in a dynamically drawn manner.

[0034] In this way, by providing specific follow-up reading scores for each word, users can clearly understand their strengths and weaknesses in pronunciation, and thus practice more targeted, improving learning efficiency; directly displaying the follow-up reading scores behind the corresponding sentences makes the feedback more intuitive and immediate, enhancing the interactivity and sense of participation in learning, and helping to improve users' learning interest and motivation. In addition, in terms of the display of evaluation results, the present application can display the follow-up reading score corresponding to the sentence in the form of a picture behind the corresponding sentence. No matter how long the sentence text is, the score picture can accurately follow it. This display effect of mixing text and pictures solves the problem that the position of score display is not fixed in the traditional method, and avoids the cumbersome work of pre-making and adding a large number of corresponding pictures to the project for each possible score in advance. At the same time, since the number of preset pictures in the application is reduced, the installation package volume of the application is also reduced, thereby improving the download and installation efficiency of the application and optimizing the user experience. Description of the Drawings

[0035] To more clearly illustrate the technical solutions in the present embodiment or the prior art, the following will briefly introduce the accompanying drawings required in the description of the embodiment or the prior art. Obviously, the accompanying drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0036] Figure 1 It is a flowchart of a method for displaying the results of digital textbook speech evaluation provided by an embodiment of the present application;

[0037] Figure 2 It is a schematic diagram of the display of the results of digital textbook speech evaluation provided by an embodiment of the present application;

[0038] Figure 3 It is a schematic structural diagram of a system for displaying the results of digital textbook speech evaluation provided by an embodiment of the present application. Detailed implementation manners

[0039] As described in the background art of the present application, there are some common problems in the existing speech evaluation systems in realizing and displaying the evaluation results, which limit the effectiveness of the technology and the user experience.

[0040] There are generally problems with score display in existing speech evaluation applications on the Android platform. Due to technical limitations, these applications usually place the score in a fixed position instead of immediately following the sentence being evaluated. This layout not only affects the intuitiveness and readability of the information but also is particularly inconvenient when dealing with decimal scores. Since there are numerous possible scores, if a mixed text and graphic layout solution is adopted, developers may need to pre-set a large number of picture resources corresponding to different scores in the project, which undoubtedly increases the complexity and maintenance difficulty of the application.

[0041] To solve the above technical problems, an embodiment of the present application provides a method for displaying the results of digital textbook speech evaluation. The method includes:

[0042] Obtain the follow-up audio data of the text in the digital textbook, generate the corresponding follow-up score based on the follow-up audio data. The follow-up score includes the follow-up score of each vocabulary in the text. According to the follow-up scores of the vocabularies in the same sentence, obtain the follow-up score corresponding to the sentence, and display the follow-up score corresponding to the sentence behind the corresponding sentence in the evaluation result by means of dynamic drawing.

[0043] In this way, by providing specific follow - up scores for each vocabulary, users can clearly understand their strengths and weaknesses in pronunciation, and thus practice more targeted, improving learning efficiency. Displaying the follow - up scores directly behind the corresponding sentences makes the feedback more intuitive and immediate, enhancing the interactivity and sense of participation in learning, and helping to increase users' learning interest and motivation. Additionally, in terms of presenting the evaluation results, this application can display the follow - up scores corresponding to the sentences in the form of pictures behind the corresponding sentences. No matter how long the sentence text is, the score pictures can accurately follow it immediately. This display effect of the dynamically drawn mixed text and picture method solves the problem in traditional methods where when the score display position is not fixed, a large number of pictures corresponding to the scores need to be added to the project, avoiding the cumbersome work of pre - manufacturing and adding a large number of corresponding pictures to the project for each possible score. At the same time, since the number of pre - installed pictures in the application is reduced, the installation package size of the application is also reduced, thereby improving the download and installation efficiency of the application and optimizing the user experience.

[0044] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the following will clearly and completely describe the technical solutions in the embodiments of this application with reference to the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

[0045] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with the relevant laws, regulations, and standards of relevant countries and regions.

[0046] Figure 1 This is a flowchart of a method for displaying the results of digital textbook speech evaluation provided by an embodiment of this application. Combining Figure 1 As shown, the method for displaying the results of digital textbook speech evaluation provided by an embodiment of this application may include:

[0047] S101. Obtain the follow - up audio data of the text in the digital textbook.

[0048] This step is the starting link of the method for displaying the results of digital textbook speech evaluation, and its purpose is to collect the audio data generated when the user follows up on specific text content in the digital textbook. In this process, the system will record the audio information of the user reading the selected text in the textbook, and this information will be used as the basis for subsequent speech evaluation.

[0049] The follow - up audio mentioned above refers to the audio recorded by the user imitating and reading the text content in the digital textbook. In language learning, following - up reading is a common learning method, which can help users improve pronunciation accuracy, intonation and language rhythm. In this application, the acquisition of follow - up audio data is the basis for realizing speech evaluation. By analyzing these audio data, the system can evaluate the user's pronunciation quality and provide feedback. By obtaining and processing the follow - up audio data, the method of this application can provide accurate speech evaluation results for users, help them improve their pronunciation and enhance the language learning effect.

[0050] S102. Generate corresponding follow - up scores based on the follow - up audio data, where the follow - up scores include the follow - up scores of each vocabulary in the text.

[0051] In this step, the system will use speech recognition and evaluation technologies to analyze the follow - up audio data recorded by the user. Specifically, the system will compare the user's pronunciation with the standard pronunciation to evaluate the pronunciation accuracy, clarity, intonation and rhythm of each word or vocabulary.

[0052] Specifically, the pronunciation of each word can be evaluated according to the preset scoring criteria. These criteria may include pronunciation accuracy, clarity, intonation, rhythm and fluency, etc. According to the preset scoring criteria, the system generates a specific score for each vocabulary.

[0053] S103. Obtain the follow - up score corresponding to the sentence according to the follow - up scores corresponding to the vocabulary in the same sentence.

[0054] After completing the evaluation of the follow - up scores of individual vocabulary, it is also necessary to calculate the follow - up score of the entire sentence by analyzing the scores of each vocabulary that makes up the sentence. This can provide an overall evaluation of the user's performance when reading the entire sentence. Specifically, first obtain the follow - up scores of each vocabulary, and these scores reflect the pronunciation accuracy and quality of each individual vocabulary. Set a calculation rule to determine how to aggregate the scores of each vocabulary into a sentence score. For example, take the average value of the vocabulary scores, weighted average or other statistical methods. According to the defined rule, calculate the scores of all vocabulary in the sentence to obtain the total score of the sentence. After completion of the calculation, generate a sentence score representing the follow - up performance of the entire sentence. This score can be used for further analysis and feedback.

[0055] Through this step, users can get direct feedback on their sentence reading performance, which helps them understand their progress in language learning and identify areas that need further practice.

[0056] S104. In the evaluation result, display the follow-up reading score corresponding to the sentence behind the corresponding sentence in a dynamically drawn manner.

[0057] Based on the follow-up reading scores of each sentence, the system will dynamically generate a picture containing the score values. This process utilizes dynamic drawing technology and can create corresponding visual representations in real time according to different scores.

[0058] In an implementation manner of the embodiment of the present application, by using SpannableString (variable style string), the system can insert elements of different styles, such as colors, fonts, and pictures, into the text. This provides a basis for dynamically mixing and arranging text and pictures. In addition, it is also necessary to customize ImageSpan (picture style) to insert the dynamically generated score picture into SpannableString. This can control the exact position and display method of the picture in the text.

[0059] In this way, the sentence and the score picture are mixed and arranged, so that the score picture follows closely behind the corresponding sentence. This mixing and arranging method is not only intuitive but also can flexibly adapt to sentences and score information of different lengths. Finally, in the generated score picture, the follow-up reading score value of the corresponding sentence will be clearly displayed. This provides clear feedback to users and helps them understand their performance when reading a specific sentence. Through this dynamically drawn and text-picture mixed arrangement method, a flexible, efficient, and user-friendly evaluation result display method is realized. This method not only solves the problem that the score display position is not fixed in the traditional method but also reduces the need for pre-set picture resources in the application, thereby reducing the workload of UI design and the volume of the application installation package. This not only improves the performance of the application but also optimizes the user's learning experience.

[0060] The above method introduces that in the display interface of the digital textbook voice evaluation result, the follow-up reading score of the entire sentence is displayed at the end of the sentence, enabling users to understand their pronunciation situation. However, this score is the total score of the entire sentence. In order to enable users to more clearly understand their learning situation, in an implementation manner of the embodiment of the present application, the method further includes: in the display interface of the evaluation result, using a variable style string to set words with different scores to different colors. As Figure 2 shown, Figure 2 is a schematic diagram of the display of the digital textbook voice evaluation result provided by the embodiment of the present application. Among them, there are two different colors, green and yellow, in the sentence part, representing different follow-up reading scores, that is, according to the follow-up reading scores of the vocabulary, corresponding colors are assigned to each vocabulary according to the preset configuration rules.

[0061] The implementation principle of this process through code is as follows: 1. Define color styles: First, define a ForegroundColorSpan object, which is used to change the foreground color of the text (i.e., the color of the text).

[0062] 2. Judge the score: Then, the code will check the value of the score and set different colors for the text according to different ranges of the score:

[0063] If the score is greater than or equal to 85 points, the text color will be set to green.

[0064] If the score is between 70 and 84 points, the text color will be set to yellow.

[0065] If the score is between 60 and 69 points, the text color will be set to blue.

[0066] If the score is less than 60 points, the text color will be set to red.

[0067] 3. Apply the color: Finally, use the spannableString.setSpan method to apply the defined color style to the specified part of the text. Define the start and end positions of the color application through the start and end parameters.

[0068] In this way, it is achieved to highlight the text with different colors according to different scores. Such visual feedback can help users quickly understand their performance. It should be noted that the matching between the above scores and colors is only exemplary, and those skilled in the art can make other matches according to the actual scores and colors.

[0069] In a specific implementation manner of this application, in addition to the previously mentioned dynamic drawing of score pictures and the technology of mixed text and graphics, it also includes the function of specially setting the font style of sentences in the evaluation results. The purpose of doing this is to improve the readability of the text and emphasize specific information, thereby enhancing the user's learning experience.

[0070] The following is a specific explanation of this implementation process. In the interface for displaying the evaluation results, the system will apply a specified font style to each sentence. This font may be selected to be consistent with the overall design style of the digital textbook or to improve the readability of the text. The system will also identify the key vocabulary in the sentence and set the font style of these vocabulary to italic. The key vocabulary may include important terms, keywords, or vocabulary that needs special attention. By setting these vocabulary to italic, it can attract the user's attention and help them better understand and remember these important information.

[0071] The specified font refers to a pre-set reference standard font. In the embodiments of the present application, the font is set according to the font of the textbook, that is, it is kept consistent with the font in the textbook, so as to ensure better user experience during use. Through these settings, the method of the present application not only provides feedback on speech evaluation, but also enhances the information transmission effect through visual design. This comprehensive method helps to improve students' learning motivation, enabling them to learn and improve more effectively from the evaluation results.

[0072] The above are some specific implementation manners of a method for displaying speech evaluation results of a digital textbook provided by the embodiments of the present application. Based on this, the present application also provides a corresponding system. Next, the system provided by the embodiments of the present application will be introduced from the perspective of functional modularization.

[0073] Figure 3 It is a schematic structural diagram of a system for displaying speech evaluation results of a digital textbook provided by the embodiments of the present application. Combining Figure 3 As shown, the system 300 for displaying speech evaluation results of a digital textbook provided by the embodiments of the present application includes:

[0074] An acquisition unit 310, configured to acquire the audio data of reading aloud the text in the digital textbook;

[0075] A score generation unit 320, configured to generate a corresponding reading score based on the reading aloud audio data, and the reading score includes the reading score of each word in the text;

[0076] The score generation unit 320 is further configured to obtain the reading score corresponding to the sentence according to the reading scores corresponding to the words in the same sentence;

[0077] A display unit 330, configured to display the reading score corresponding to the sentence behind the corresponding sentence in the evaluation result by means of dynamic drawing.

[0078] In an implementation manner of the embodiments of the present application, the system further includes:

[0079] A color display unit, configured to set words with different scores into different colors by using variable style strings.

[0080] In an implementation manner of the embodiments of the present application, the display unit is specifically configured to dynamically draw a picture corresponding to the reading score according to the reading score of the sentence, and mix and arrange the sentence and the score picture by using variable style strings and a custom picture style, and the picture displays the value corresponding to the reading score of the sentence.

[0081] In an implementation manner of the embodiment of the present application, the system further includes a font setting unit, which is used to set a specified font for the sentences in the evaluation result in the display interface of the evaluation result, and set the preset keyword vocabulary in the sentences to italic.

[0082] In an implementation manner of the embodiment of the present application, the font setting unit is used to set a specified font for the sentences in the evaluation result in the display interface. Specifically, it includes setting the font of the sentence to a preset reference standard font.

[0083] In an implementation manner of the embodiment of the present application, the color display unit uses a variable style string to set words with different scores to different colors, including assigning corresponding colors to each vocabulary according to the follow-up reading score of the vocabulary according to the preset configuration rules.

[0084] The embodiment of the present application also provides corresponding devices and computer storage media for implementing the solutions provided by the embodiment of the present application.

[0085] Among them, the device includes a memory and a processor. The memory is used to store instructions or codes, and the processor is used to execute the instructions or codes so that the device executes the method described in any embodiment of the present application.

[0086] The computer storage medium stores codes. When the codes are run, the device running the codes implements the method described in any embodiment of the present application.

[0087] From the description of the above embodiments, those skilled in the art can clearly understand that all or part of the steps in the above embodiment methods can be implemented by means of software plus a general hardware platform. Based on such an understanding, the technical solution of the present application can be embodied in the form of a software product. The computer software product can be stored in a storage medium, such as read-only memory (ROM) / RAM, magnetic disk, optical disk, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network communication device such as a router) to execute the methods described in each embodiment or some parts of the embodiments of the present application.

[0088] It can be understood that in the specific implementation manner of the present application, the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved. When the above embodiments of the present application are applied to specific products or technologies, user permission or consent needs to be obtained, and the collection, use, and processing of relevant data need to comply with the relevant laws, regulations, and standards of relevant countries and regions.

[0089] It should be noted that, in this text, relative terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprising", "including" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent in such process, method, article or device. Without further limitation, an element defined by the statement "comprising a..." does not exclude the existence of additional identical elements in the process, method, article or device comprising the said element.

[0090] It should also be noted that the various embodiments in this specification are described in a progressive manner. For the identical or similar parts among the various embodiments, reference can be made to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the embodiments of the device and system, since they are basically similar to the method embodiments, the description is relatively simple, and reference can be made to the relevant parts of the method embodiments for the relevant content. The device and system embodiments described above are only illustrative. The units described as separate components may or may not be physically separated, and the components referred to as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative efforts.

[0091] As described above, this is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present application should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for displaying the results of a digital teaching material speech evaluation, characterized in that: The method comprises: Obtain audio data for following the text in digital textbooks; Generate a corresponding follow-up reading score based on the follow-up reading audio data, wherein the follow-up reading score includes a follow-up reading score for each word in the text; According to the corresponding follow-up scores of the words in the same sentence, the corresponding follow-up score of the sentence is obtained; In the evaluation results, the follow-up score corresponding to the sentence is displayed behind the corresponding sentence by means of dynamic drawing.

2. The method according to claim 1, characterized in that The method further comprises: In the display interface of the evaluation results, words with different scores are set to different colors using variable style strings.

3. The method according to claim 1, characterized in that The step of displaying the corresponding reading score of the sentence behind the corresponding sentence in the evaluation result by means of dynamic drawing includes: According to the sentence's follow-up score, a picture corresponding to the follow-up score is dynamically drawn, and the sentence and the score picture are mixed using a variable style string and a custom picture style, and the picture displays a numerical value corresponding to the sentence's follow-up score.

4. The method according to claim 1, characterized in that: The method further comprises: In the display interface of the evaluation results, a specified font is set for the sentences in the evaluation results, and preset key words in the sentences are set to italics.

5. The method according to claim 4, characterized in that The setting of a specified font for a sentence includes: The font of the sentence is set to a preset reference standard font.

6. The method according to claim 2, characterized in that The method of using a variable style character string to set words with different scores to different colors includes: According to the vocabulary's follow-up score, each vocabulary is assigned a corresponding color according to the preset configuration rules.

7. A digital teaching material voice evaluation result display system, characterized in that: include: An acquisition unit, used to acquire audio data of following the reading of text in the digital teaching material; A score generating unit, configured to generate a corresponding follow-up reading score based on the follow-up reading audio data, wherein the follow-up reading score includes a follow-up reading score for each word in the text; The score generating unit is further used to obtain the follow-up score corresponding to the sentence according to the follow-up scores corresponding to the words in the same sentence; The display unit is used to display the follow-up score corresponding to the sentence behind the corresponding sentence in the evaluation result by dynamic drawing.

8. The system according to claim 7, characterized in that The system further comprises: The color display unit is used to set words with different scores to different colors using a variable style character string.

9. A computing device, characterized in that The computing device includes: a memory and a processor; The memory is used to store computer programs; The processor is configured to implement the method according to any one of claims 1 to 6 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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