CN113380087A - English word reading memory method and system based on virtual reality scene - Google Patents

English word reading memory method and system based on virtual reality scene Download PDF

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CN113380087A
CN113380087A CN202110765622.3A CN202110765622A CN113380087A CN 113380087 A CN113380087 A CN 113380087A CN 202110765622 A CN202110765622 A CN 202110765622A CN 113380087 A CN113380087 A CN 113380087A
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english word
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CN113380087B (en
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王鑫
许昭慧
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Shanghai Squirrel Classroom Artificial Intelligence Technology Co Ltd
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Abstract

本发明公开了基于虚拟现实场景的英文单词诵读记忆方法与系统，涉及智能学习技术领域。所述方法，包括：采集当前学生在虚拟环境中，第n次对目标英文单词的跟读语音信息；根据所述第n次对目标英文单词的跟读语音信息，获取当前学生第n次对目标英文单词的跟读相似度；根据所述当前学生第n次对目标英文单词的跟读相似度，计算当前学生第n次对目标英文单词的跟读评分；根据所述当前学生第n次对目标英文单词的跟读评分，计算获取当前学生对目标英文单词的巩固间隔时间；当巩固间隔时间到达时，向当前学生提供目标英文单词进行跟读。本发明能根据学生当前对英文单词的掌握程度，合理制定复习时间，智能化程度高。

Figure 202110765622

The invention discloses a method and a system for reciting and memorizing English words based on a virtual reality scene, and relates to the technical field of intelligent learning. The method includes: collecting the current student's follow-up phonetic information on the target English word at the nth time in the virtual environment; and obtaining the current student's nth time on the target English word according to the n-th follow-up phonetic information on the target English word. The similarity of the follow-up reading of the target English word; according to the similarity of the current student's n-th follow-up reading to the target English word, calculate the current student's n-th follow-up score to the target English word; according to the current student's n-th follow-up reading For the follow-up score of the target English word, the current student's consolidation interval for the target English word is calculated and obtained; when the consolidation interval is reached, the target English word is provided to the current student for follow-up reading. The invention can reasonably set the review time according to the students' current mastery of English words, and has a high degree of intelligence.

Figure 202110765622

Description

English word reading memory method and system based on virtual reality scene
Technical Field
The invention relates to the technical field of intelligent learning, in particular to an English word reading and memorizing method and system based on a virtual reality scene.
Background
Learning english, english words are the first problem to be solved. The words are the basis of sentences and articles. The reading of english words is advocated because during reading, input is performed by eye, brain response, output is performed by mouth reading, hearing is performed by ears, and then the user enters the brain to verify whether the word is correct or incorrect, and the process is a complete closed loop of learning and cannot be distracted because the distraction must be wrong. Therefore, reading is important, which is beneficial to the learner to develop special attention, enhance learning ability and improve learning efficiency.
Traditional English word recites memory method mainly still adopts artificial mode, for example reads in the morning, and the student concentrates on reading aloud together, supervises and checks by mr, reminds when discovering the student and recites the mistake, perhaps recites by the student by oneself, when having the mistake of reciting, problem that can not in time correct. As computer technology has developed, word recitation devices/systems have come to mind, typically by pre-building a database of english words and then providing the student with each english word in a set order (e.g., alphabetical) or further in a set recitation review cycle, and at the end of each time cycle, re-providing the student with words recited in the previous cycle for review by the student, while these word recitation devices/systems can score and present the words recited by the student to correct the student's recitation errors in time.
However, in the reciting process, the memory mastering degrees of different words of reciting by students also have differences, and the students can review the words with different mastering degrees according to the same reciting review cycle, which is not beneficial to scientific management of learning time and words.
Disclosure of Invention
The invention provides an English word reading and memorizing method based on a virtual reality scene, which is used for solving the problems that the existing English word reading and memorizing method is not intelligent enough, can not evaluate the mastering degree of students on each English word and can not give review suggestions for each English word. The invention provides an English word reading and memorizing method and system based on a virtual reality scene, which can intelligently evaluate the current mastering degree of a student on an English word, give reasonable word consolidation review time and effectively improve the learning efficiency of the student.
In a first aspect, the intelligent English word memory recitation management method provided by the invention comprises the following steps:
collecting the read-after voice information of the current student on the target English word at the nth time in the virtual environment;
acquiring the read-following similarity of the current student to the target English word at the nth time according to the read-following voice information of the target English word at the nth time;
calculating the read-following score of the current student on the target English word for the nth time according to the read-following similarity of the current student on the target English word for the nth time;
calculating and acquiring consolidation interval time of the current student to the target English word according to the nth reading score of the current student to the target English word;
and when the consolidation interval time is up, providing the target English word for the current student to read after.
In an optional embodiment, the calculating, according to the nth reading similarity of the current student to the target english word, a reading score of the current student to the target english word for the nth time includes:
calculating the reading following score of the current student on the target English word for the nth time according to the following first formula:
Figure BDA0003150946370000021
in the first formula, FnScoring the nth reading of the target English word for the current student, e is the base number of the natural logarithm, SiFor the ith reading similarity of the current student to the target English word, i is 1,2, …, n; snFor the nth reading similarity of the current student to the target English word, sn-1The follow-up reading similarity of the current student to the target English word for the (n-1) th time, si+1And (5) reading following similarity of the target English word for the i +1 th time of the current student.
In an optional embodiment, the calculating and obtaining the consolidation interval time of the current student on the target english word according to the nth reading score of the current student on the target english word includes:
calculating and acquiring the consolidation interval time of the current student to the target English word according to the following second formula:
Figure BDA0003150946370000031
in the second formula, Tn+1Consolidation interval for target English word for current student, Fn-1Representing the n-1 th read-following score of the current student on the target English word, sinh-1() As an inverse hyperbolic sine function, cosh-1() In the case of an inverse hyperbolic cosine function, ln () is a logarithmic function with a constant e as a base.
In an optional embodiment, after the calculating, according to the nth reading similarity of the target english word, the reading following score of the current student on the target english word, the method further includes:
comparing the read-after score of the current student on the target English word at the nth time with the read-after score of the current student on the target English word at the (n-1) th time;
if the current student's reading following score for the target English word at the nth time is larger than the reading following score for the target English word at the (n-1) th time, displaying first prompt information to the current student;
if the current student's reading-following score for the target English word at the nth time is not greater than the reading-following score for the target English word at the (n-1) th time, calculating the reading-following amplitude reduction value of the current student to the target English word according to a third formula, and displaying second prompt information to the current student;
wherein the third formula is:
Figure BDA0003150946370000032
in the third formula, GnReading amplitude reduction value s for current student to target English wordn-2And (5) the read-following similarity of the target English word for the current student at the (n-2) th time.
In an optional embodiment, the first prompt message at least includes: and scoring the target English word by the current student for the nth reading, and presetting positive prompt information.
In an optional embodiment, the second prompt message at least includes: scoring the target English word by the current student for the nth reading, and setting the target English word reading descending amplitude and preset encouragement prompt information by the current student.
In a second aspect, the present invention provides an english word reading memory system based on a virtual reality scene, including:
the acquisition module is used for acquiring the read-after voice information of the target English word at the nth time when the current student is in the virtual environment;
the similarity obtaining module is used for obtaining the current nth reading similarity of the student to the target English word according to the nth reading speech information of the target English word;
the scoring module is used for calculating the read-following score of the current student on the target English word for the nth time according to the read-following similarity of the current student on the target English word for the nth time;
the consolidation interval time calculation module is used for calculating and acquiring consolidation interval time of the current student to the target English word according to the nth reading score of the current student to the target English word;
and the providing module is used for providing the target English words for the current student to read after the consolidation interval time is reached.
In an optional embodiment, the scoring module is specifically configured to calculate the current student's nth reading score for the target english word according to the following first formula:
Figure BDA0003150946370000041
in the first formula, FnScoring the nth reading of the target English word for the current student, e is the base number of the natural logarithm, SiFor the ith reading similarity of the current student to the target English word, i is 1,2, …, n; snFor the nth reading similarity of the current student to the target English word, sn-1The follow-up reading similarity of the current student to the target English word for the (n-1) th time, si+1And (5) reading following similarity of the target English word for the i +1 th time of the current student.
In an optional embodiment, the consolidation interval time calculation module is specifically configured to calculate and obtain a consolidation interval time of the current student on the target english word according to a second formula as follows:
Figure BDA0003150946370000042
in the second formula, Tn+1Consolidation interval for target English word for current student, Fn-1Representing the n-1 th read-following score of the current student on the target English word, sinh-1() As an inverse hyperbolic sine function, cosh-1() In the case of an inverse hyperbolic cosine function, ln () is a logarithmic function with a constant e as a base.
In an optional embodiment, the system further comprises:
the comparison module is used for comparing the read-after score of the current student on the target English word at the nth time with the read-after score of the current student on the target English word at the (n-1) th time;
the display module is used for displaying first prompt information to the current student when the comparison module compares that the nth reading score of the current student on the target English word is larger than the (n-1) th reading score of the current student on the target English word; when the comparison module compares that the nth reading score of the current student on the target English word is not more than the nth-1 reading score of the current student on the target English word, calculating the reading descending amplitude of the current student on the target English word according to a third formula, and displaying second prompt information to the current student;
wherein the third formula is:
Figure BDA0003150946370000051
in the third formula, GnReading amplitude reduction value s for current student to target English wordn-2And (5) the read-following similarity of the target English word for the current student at the (n-2) th time.
According to the English word reading memory method and system based on the virtual reality scene, the read-following score of the current student on the target English word is calculated according to the read-following similarity of the student on the target English word, the consolidation interval time of the current student on the target English word is calculated and obtained according to the read-following score, and finally the target English word is provided for the current student to be read-following when the consolidation interval time is up. The invention can intelligently calculate the current mastery degree score of the student on the English word and set the reasonable consolidation interval time for reviewing the word next time, thereby effectively improving the learning efficiency of the student.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a flow chart of a virtual reality scenario-based English word reading and memorizing method according to an embodiment of the present invention;
FIG. 2 is a flowchart of a method after step S103;
FIG. 3 is a schematic structural diagram of a first embodiment of an English word reading memory system based on a virtual reality scenario according to the present invention;
fig. 4 is a schematic structural diagram of a second embodiment of an english word reading memory system based on a virtual reality scene according to the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Fig. 1 is a flowchart of an english word reading and memorizing method based on a virtual reality scenario according to an embodiment of the present invention. As shown in fig. 1, the method comprises the following steps S101-S105:
s101: and acquiring the read-after voice information of the target English word of the current student in the virtual environment for the nth time.
In this embodiment, gather in real time that the student follows reading speech information of reading every english individual character in the virtual reality scene, be convenient for follow-up intelligent analysis that carries on confirms the degree of mastering of student to english individual character.
S102: and acquiring the read-following similarity of the target English word of the current student at the nth time according to the read-following voice information of the target English word at the nth time.
In this embodiment, if the reading following similarity of the current student to the target english word is higher, it indicates that the reading of the current student to the target english word is more accurate, and the mastering degree is better.
S103: and calculating the read-following score of the current student on the target English word for the nth time according to the read-following similarity of the current student on the target English word for the nth time.
Preferably, the current student's reading-after score for the target english word for the nth time is calculated according to the following first formula:
Figure BDA0003150946370000071
in the first formula, FnScoring the current student for the nth reading of the target English word, wherein the higher the scoring is, the more accurate the reading of the target English word by the current student is; e is the base number of the natural logarithm, and the value is 2.71, SiFor the ith reading similarity of the current student to the target English word, i is 1,2, …, n; snFor the nth reading similarity of the current student to the target English word, sn-1The follow-up reading similarity of the current student to the target English word for the (n-1) th time, si+1And (5) reading following similarity of the target English word for the i +1 th time of the current student.
S104: and calculating and acquiring the consolidation interval time of the current student to the target English word according to the nth reading score of the current student to the target English word.
Preferably, the consolidation interval time for obtaining the target english word by the current student is calculated according to the following second formula:
Figure BDA0003150946370000072
in the second formula, Tn+1Consolidation interval for target English word for current student, Fn-1Representing the n-1 th read-following score of the current student on the target English word, sinh-1() As an inverse hyperbolic sine function, cosh-1() In the case of an inverse hyperbolic cosine function, ln () is a logarithmic function with a constant e as a base.
In this embodiment, according to the second formula and Ebinghaos forgetting curve, when Fn>Fn-1When it is going through
Figure BDA0003150946370000073
After hours, the system provides the target English word for the same student again, so that the student can read the target English word, and the reading skill and memory of the target English word can be deepened for the student; when F is presentn≤Fn-1When it is going through
Figure BDA0003150946370000074
After hours, the system can provide the target English word for the same student again, so that the student can read with the target English word, and the student can deepen the reading skill and memory of the target English word.
S105: and when the consolidation interval time is up, providing the target English word for the current student to read after.
In this embodiment, the English word review time is obtained according to the current degree of the student grasping the target English word, so that the student can better grasp the target English word.
As shown in fig. 2, after step S103, the following steps S201 to S203 may be further included:
s201: judging whether the reading following score of the current student on the target English word at the nth time is larger than the reading following score of the current student on the target English word at the (n-1) th time; if yes, step S202 is executed, otherwise step S203 is executed.
S202: and displaying the first prompt message to the current student.
In this example, when FnGreater than Fn-1And then, the pronunciation level of the target English word is improved by the current student, the system displays the follow-up reading score and gives corresponding vocalized words, and the student is encouraged to continue learning.
S203: and calculating the read-following amplitude reduction value of the target English word by the current student according to a third formula, and displaying second prompt information to the current student.
Preferably, the third formula is:
Figure BDA0003150946370000081
in the third formula, GnReading amplitude reduction value s for current student to target English wordn-2And (5) the read-following similarity of the target English word for the current student at the (n-2) th time.
In this example, when FnLess than or equal to Fn-1The system prompts that the pronunciation mastery degree of the target English word is degraded, and simultaneously displays the reading-following score and the reduced amplitude G compared with the reading-following scorenTherefore, the current student is prompted to have problems in mastering the pronunciation of the target English word at present, and the method is beneficial to improving the mastering degree of the target English word by the current student as soon as possible.
According to the English word reading memory method based on the virtual reality scene, firstly, the reading following score of a current student on a target English word is calculated according to the reading following similarity of the student on the target English word, then the consolidation interval time of the current student on the target English word is calculated and obtained according to the reading following score, and finally, the target English word is provided for the current student to be read after the consolidation interval time is up; meanwhile, the reading following score is displayed to students, so that the students can know the mastering condition of English words. The invention can push the relevant memory practice to read the target English word to the student in the best memory consolidation time according to the current mastering degree and memory characteristics of the student on the English word so as to help the student to consolidate the memory, better master the word reading skill, effectively improve the learning efficiency of the student and ensure that the follow-up reading system has high intelligent degree.
Corresponding to the virtual reality scene-based english word reading memory method provided in the embodiment of the present invention, the embodiment of the present invention further provides a virtual reality scene-based english word reading memory system, as shown in fig. 3, the system includes:
and the acquisition module 1 is used for acquiring the read-after voice information of the target English word at the nth time of the current student in the virtual environment.
And the similarity acquisition module 2 is used for acquiring the read-after similarity of the current student to the target English word at the nth time according to the read-after voice information of the target English word at the nth time.
And the scoring module 3 is used for calculating the reading following score of the current student on the target English word for the nth time according to the reading following similarity of the current student on the target English word for the nth time. Preferably, the scoring module 3 is specifically configured to calculate, according to the first formula, the reading-after score of the current student on the target english word for the nth time.
And the consolidation interval time calculation module 4 is used for calculating and acquiring consolidation interval time of the current student to the target English word according to the nth reading score of the current student to the target English word. Preferably, the consolidation interval time calculation module 4 is specifically configured to calculate and acquire consolidation interval time of the target english word by the current student according to the second formula.
And the providing module 5 is used for providing the target English words for the current students to follow when the consolidation interval time is up.
Fig. 4 is a schematic structural diagram of a second embodiment of an english word reading memory system based on a virtual reality scene according to the present invention. Referring to fig. 4, the present embodiment is based on the structure of the first embodiment of the virtual reality scene-based english word reading memory system, and further, the virtual reality scene-based english word reading memory system further includes:
the comparison module 6 is used for comparing the read-after score of the current student on the target English word for the nth time with the read-after score of the current student on the target English word for the (n-1) th time;
the display module 7 is used for displaying first prompt information to the current student if the nth reading score of the current student on the target English word is larger than the nth-1 reading score of the current student on the target English word; and if the current student's reading following score for the target English word at the nth time is not greater than the reading following score for the target English word at the (n-1) th time, calculating the reading following reduction value of the current student to the target English word according to the third formula, and displaying second prompt information to the current student.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or 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.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (10)

1.基于虚拟现实场景的英文单词诵读记忆方法，其特征在于，包括以下步骤：1. the English word recitation memory method based on virtual reality scene, is characterized in that, comprises the following steps: 采集当前学生在虚拟环境中，第n次对目标英文单词的跟读语音信息；Collect the current students' follow-up voice information of the target English word for the nth time in the virtual environment; 根据所述第n次对目标英文单词的跟读语音信息，获取当前学生第n次对目标英文单词的跟读相似度；According to the n-th follow-up phonetic information of the target English word, obtain the n-th follow-up similarity of the current student to the target English word; 根据所述当前学生第n次对目标英文单词的跟读相似度，计算当前学生第n次对目标英文单词的跟读评分；According to the similarity of the current student's n-th follow-up reading to the target English word, calculate the current student's n-th follow-up score for the target English word; 根据所述当前学生第n次对目标英文单词的跟读评分，计算获取当前学生对目标英文单词的巩固间隔时间；According to the current student's n-th follow-up score on the target English word, calculate and obtain the current student's consolidation interval for the target English word; 当巩固间隔时间到达时，向当前学生提供目标英文单词进行跟读。When the consolidation interval arrives, the current student is provided with the target English word for follow-up reading. 2.如权利要求1所述的基于虚拟现实场景的英文单词诵读记忆方法，其特征在于，所述根据所述当前学生第n次对目标英文单词的跟读相似度，计算当前学生第n次对目标英文单词的跟读评分，包括：2. the English word recitation memory method based on virtual reality scene as claimed in claim 1, is characterized in that, described according to described current student's nth follow-up reading similarity to target English word, calculates current student's nth time Follow-up scoring of target English words, including: 根据以下第一公式计算当前学生第n次对目标英文单词的跟读评分：Calculate the current student's n-th follow-up score for the target English word according to the following first formula:
Figure FDA0003150946360000011
Figure FDA0003150946360000011
 在第一公式中，Fn为当前学生第n次对目标英文单词的跟读评分，e为自然对数的底数，Si为当前学生第i次对目标英文单词的跟读相似度，i＝1,2,…,n；sn为当前学生第n次对目标英文单词的跟读相似度，sn-1为当前学生第n-1次对目标英文单词的跟读相似度，si+1为当前学生第i+1次对目标英文单词的跟读相似度。In the first formula, F n is the current student's n-th follow-up score for the target English word, e is the base of the natural logarithm, S i is the current student's i-th follow-up score of the target English word, i =1,2,...,n; s n is the current student's n-th follow-up similarity to the target English word, s n-1 is the current student's n-1 follow-up similarity to the target English word, s i+1 is the follow-up similarity of the current student to the target English word for the i+1th time. 3.如权利要求2所述的基于虚拟现实场景的英文单词诵读记忆方法，其特征在于，根据所述当前学生第n次对目标英文单词的跟读评分，计算获取当前学生对目标英文单词的巩固间隔时间，包括：3. the English word recitation memory method based on virtual reality scene as claimed in claim 2, it is characterized in that, according to described current student's nth following reading score to target English word, calculate and obtain current student's to target English word's score. Consolidation intervals, including: 根据以下第二公式计算获取当前学生对目标英文单词的巩固间隔时间：Calculate and obtain the current student's consolidation interval for the target English word according to the following second formula:
Figure FDA0003150946360000021
Figure FDA0003150946360000021
 在第二公式中，Tn+1为当前学生对目标英文单词的巩固间隔时间，Fn-1表示当前学生第n-1次对目标英文单词的跟读评分，sinh-1()为反双曲正弦函数，cosh-1()为反双曲余弦函数，ln()为常数e为底数的对数函数。In the second formula, T n+1 is the current student's consolidation interval for the target English word, F n-1 is the current student's n-1th follow-up score for the target English word, sinh -1 () is the reverse The hyperbolic sine function, cosh -1 () is the inverse hyperbolic cosine function, and ln() is the logarithmic function with the constant e as the base. 4.如权利要求2或3所述的基于虚拟现实场景的英文单词诵读记忆方法，其特征在于，所述根据所述第n次对目标英文单词的跟读相似度，计算当前学生对目标英文单词的跟读评分之后，还包括：4. the English word recitation memory method based on virtual reality scene as claimed in claim 2 or 3, is characterized in that, described according to the following reading similarity to target English word for the nth time, calculate current student to target English word After the word follow-up score, it also includes: 比较当前学生第n次对目标英文单词的跟读评分与当前学生第n-1次对目标英文单词的跟读评分的大小；Compare the size of the current student's n-th follow-up score for the target English word and the current student's n-1th follow-up score for the target English word; 若当前学生第n次对目标英文单词的跟读评分大于第n-1次对目标英文单词的跟读评分，则向当前学生展示第一提示信息；If the current student's n-th follow-up score for the target English word is greater than the n-1th follow-up score for the target English word, the first prompt information is displayed to the current student; 若当前学生第n次对目标英文单词的跟读评分不大于第n-1次对目标英文单词的跟读评分，则根据第三公式计算当前学生对目标英文单词的跟读降幅值，并向当前学生展示第二提示信息；If the current student's n-th follow-up score for the target English word is not greater than the n-1th follow-up score for the target English word, then the current student's follow-up drop value for the target English word is calculated according to the third formula, and is sent to The current student displays the second prompt information; 其中，所述第三公式为：Wherein, the third formula is:
Figure FDA0003150946360000022
Figure FDA0003150946360000022
 在第三公式中，Gn为当前学生对目标英文单词的跟读降幅值，sn-2为当前学生第n-2次对目标英文单词的跟读相似度。In the third formula, G n is the drop value of the current student's follow-up reading of the target English word, and s n-2 is the current student's n-2th follow-up reading similarity to the target English word. 5.如权利要求3或4所述的基于虚拟现实场景的英文单词诵读记忆方法，其特征在于，所述第一提示信息，至少包括：当前学生第n次对目标英文单词的跟读评分，及预设肯定提示信息。5. the English word recitation memory method based on virtual reality scene as claimed in claim 3 or 4, is characterized in that, described first prompt information, at least comprises: current student's n-th follow-up reading score to target English word, and the default affirmative message. 6.如权利要求5所述的基于虚拟现实场景的英文单词诵读记忆方法，其特征在于，所述第二提示信息，至少包括：当前学生第n次对目标英文单词的跟读评分，当前学生对目标英文单词的跟读降幅值及预设鼓励提示信息。6. the English word recitation memory method based on virtual reality scene as claimed in claim 5, is characterized in that, described second prompt information, at least comprises: current student's n-th follow-up score to target English word, current student The drop value of the follow-up reading of the target English word and the preset encouragement prompt information. 7.基于虚拟现实场景的英文单词诵读记忆系统，其特征在于，包括：7. The English word recitation memory system based on virtual reality scene, is characterized in that, comprises: 采集模块，用于采集当前学生在虚拟环境中，第n次对目标英文单词的跟读语音信息；The acquisition module is used to collect the current students' follow-up voice information of the target English word for the nth time in the virtual environment; 相似度获取模块，用于根据所述第n次对目标英文单词的跟读语音信息，获取当前学生第n次对目标英文单词的跟读相似度；The similarity obtaining module is used to obtain the similarity of the current student's n-th following-reading of the target English word according to the n-th following-reading phonetic information of the target English word; 评分模块，用于根据所述当前学生第n次对目标英文单词的跟读相似度，计算当前学生第n次对目标英文单词的跟读评分；The scoring module is used to calculate the current student's n-th follow-up score for the target English word according to the similarity of the current student's n-th follow-up reading of the target English word; 巩固间隔时间计算模块，用于根据所述当前学生第n次对目标英文单词的跟读评分，计算获取当前学生对目标英文单词的巩固间隔时间；The consolidation interval time calculation module is used to calculate and obtain the consolidation interval time of the current student to the target English word according to the n-th follow-up reading of the target English word by the current student; 提供模块，用于当巩固间隔时间到达时，向当前学生提供目标英文单词进行跟读。A module is provided to provide current students with target English words for follow-up reading when the consolidation interval is reached. 8.如权利要求7所述的基于虚拟现实场景的英文单词诵读记忆系统，其特征在于，所述评分模块，具体用于根据以下第一公式计算当前学生第n次对目标英文单词的跟读评分：8. the English word reading memory system based on virtual reality scene as claimed in claim 7, is characterized in that, described scoring module, is specifically used for calculating current student's following reading to target English word nth time according to following first formula score:
Figure FDA0003150946360000031
Figure FDA0003150946360000031
 在第一公式中，Fn为当前学生第n次对目标英文单词的跟读评分，e为自然对数的底数，Si为当前学生第i次对目标英文单词的跟读相似度，i＝1,2,…,n；sn为当前学生第n次对目标英文单词的跟读相似度，sn-1为当前学生第n-1次对目标英文单词的跟读相似度，si+1为当前学生第i+1次对目标英文单词的跟读相似度。In the first formula, F n is the current student's n-th follow-up score for the target English word, e is the base of the natural logarithm, S i is the current student's i-th follow-up score of the target English word, i =1,2,...,n; s n is the current student's n-th follow-up similarity to the target English word, s n-1 is the current student's n-1 follow-up similarity to the target English word, s i+1 is the follow-up similarity of the current student to the target English word for the i+1th time. 9.如权利要求8所述的基于虚拟现实场景的英文单词诵读记忆系统，其特征在于，所述巩固间隔时间计算模块，具体用于根据以下第二公式计算获取当前学生对目标英文单词的巩固间隔时间：9. the English word recitation memory system based on virtual reality scene as claimed in claim 8, is characterized in that, described consolidation interval time calculation module, is specifically used for calculating and obtaining the consolidation of current student to target English word according to following second formula Intervals:
Figure FDA0003150946360000041
Figure FDA0003150946360000041
 在第二公式中，Tn+1为当前学生对目标英文单词的巩固间隔时间，Fn-1表示当前学生第n-1次对目标英文单词的跟读评分，sinh-1()为反双曲正弦函数，cosh-1()为反双曲余弦函数，ln()为常数e为底数的对数函数。In the second formula, T n+1 is the current student's consolidation interval for the target English word, F n-1 is the current student's n-1th follow-up score for the target English word, sinh -1 () is the reverse The hyperbolic sine function, cosh -1 () is the inverse hyperbolic cosine function, and ln() is the logarithmic function with the constant e as the base. 10.如权利要求8或9所述的基于虚拟现实场景的英文单词诵读记忆系统，其特征在于，该系统还包括：10. The English word recitation memory system based on virtual reality scene as claimed in claim 8 or 9, is characterized in that, this system also comprises: 比较模块，用于比较当前学生第n次对目标英文单词的跟读评分与当前学生第n-1次对目标英文单词的跟读评分的大小；The comparison module is used to compare the size of the current student's n-th follow-up score for the target English word and the current student's n-1th follow-up score for the target English word; 展示模块，用于在所述比较模块比较出当前学生第n次对目标英文单词的跟读评分大于第n-1次对目标英文单词的跟读评分时，向当前学生展示第一提示信息；并在所述比较模块比较出当前学生第n次对目标英文单词的跟读评分不大于第n-1次对目标英文单词的跟读评分时，根据第三公式计算当前学生对目标英文单词的跟读降幅值，并向当前学生展示第二提示信息；The display module is used to display the first prompt information to the current student when the comparison module compares that the current student's n-th follow-up score for the target English word is greater than the n-1th follow-up score for the target English word; And when the said comparison module compares that the current student's n-th follow-up score to the target English word is not greater than the n-1th follow-up score to the target English word, the current student's score to the target English word is calculated according to the third formula. Follow up with the drop value, and show the second prompt information to the current student; 其中，所述第三公式为：Wherein, the third formula is:
Figure FDA0003150946360000042
Figure FDA0003150946360000042
 在第三公式中，Gn为当前学生对目标英文单词的跟读降幅值，sn-2为当前学生第n-2次对目标英文单词的跟读相似度。In the third formula, G n is the drop value of the current student's follow-up reading of the target English word, and s n-2 is the current student's n-2th follow-up reading similarity to the target English word.
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