CN117437824B

CN117437824B - Lecture training method and related device

Info

Publication number: CN117437824B
Application number: CN202311711650.2A
Authority: CN
Inventors: 胡文佳; 陈鹏
Original assignee: Tuoshe Technology Group Co ltd; Jiangxi Tuoshi Intelligent Technology Co ltd
Current assignee: Tuoshe Technology Group Co ltd; Jiangxi Tuoshi Intelligent Technology Co ltd
Priority date: 2023-12-13
Filing date: 2023-12-13
Publication date: 2024-05-14
Anticipated expiration: 2043-12-13
Also published as: CN117437824A

Abstract

The application discloses a speech training method and a related device, wherein the method comprises the steps of obtaining a speech request from a target user terminal; acquiring target image data according to a lecture request, wherein the target image data is image content acquired by a target user terminal or a target holographic lecture bin, and the target image data comprises character images when a target user performs lecture simulation training; generating first holographic projections according to the target image data, and sending the first holographic projections to at least one target holographic rest bin so as to display the first holographic projections in a lecture display area of each target holographic rest bin in the at least one target holographic rest bin; acquiring lecture evaluation information from at least one target holographic rest bin, wherein the lecture evaluation information is used for characterizing evaluation content of audience in the at least one target holographic rest bin aiming at first holographic projection; and sending the speech evaluation information to the target user terminal. The application is beneficial to realizing the lecture training function of the holographic bin.

Description

Lecture training method and related device

Technical Field

The application relates to the technical field of holographic projection in data information processing, in particular to a speech training method and a related device.

Background

In the society, people often cannot find a training object when want to carry out lecture training, and cannot obtain feedback on the lecture training of the people. The conventional interactive equipment aims at the simulation lecture, only a virtual lecture scene is simply fictitiously formed for a user to train, and the user cannot acquire real audience evaluation, so that the training effect is poor.

Disclosure of Invention

The embodiment of the application provides a lecture training method and a related device, which aim to realize the lecture training function of a holographic cabin, improve the flexibility and the intelligence of a server for information data processing in the function, meet the lecture training requirement of a user and improve the training effect.

In a first aspect, an embodiment of the present application provides a lecture training method, applied to a server in a lecture training system, where the lecture training system includes the server, a plurality of holographic rest bins, a plurality of user terminals, and a plurality of holographic lecture bins, where the holographic rest bins include a lecture display area and a rest area, and the method includes:

Acquiring a lecture request from a target user terminal, wherein the target user terminal is any one of the plurality of user terminals;

Acquiring target image data according to the lecture request, wherein the target image data is image content acquired by the target user terminal or a target holographic lecture bin, the target image data comprises character images when a target user performs lecture simulation training, and the target holographic lecture bin is any one of the plurality of holographic lecture bins;

Generating a first holographic projection according to the target image data, and sending the first holographic projection to at least one target holographic rest bin, so that the first holographic projection is displayed in a lecture display area of each target holographic rest bin in the at least one target holographic rest bin, wherein the at least one target holographic rest bin is at least one of the plurality of holographic rest bins, and at least one audience is in a rest area of a single target holographic rest bin;

acquiring lecture evaluation information from the at least one target holographic rest bin, wherein the lecture evaluation information is used for characterizing evaluation content of audience in the at least one target holographic rest bin aiming at the first holographic projection;

and sending the speech evaluation information to the target user terminal.

In one possible example, the acquiring the target image data according to the lecture request includes:

Determining target speech equipment of the target user according to the speech request, wherein the target speech equipment is equipment indicated by the speech request and used for performing speech simulation training, the target speech equipment is the target user terminal or the target holographic speech cabin, and the target holographic speech cabin is any one of the holographic speech cabins;

If the target speech equipment is the user terminal, acquiring the target image data from the user terminal;

If the target speech equipment is the target holographic speech cabin, acquiring user information of the target user, and determining whether the target user reaches preset use conditions according to the user information;

if so, acquiring the target image data from the target holographic speech cabin;

if not, sending a request failure prompt to the target user terminal.

In one possible example, the determining whether the target user reaches a preset usage condition according to the user information includes:

determining the historical speech times of the target user according to the user information;

determining whether the historical speech times reach preset times or not;

if yes, determining the speech integral of the target user according to the user information, and determining whether the speech integral reaches a preset integral or not;

If so, judging that the target user reaches a preset use condition;

if the preset service condition is not met, judging that the target user does not meet the preset service condition;

if not, judging that the target user does not reach the preset use condition.

In one possible example, the holographic speech cabin includes a speech region and a projection region; when the target user reaches the preset use condition, the method further comprises the following steps:

Determining a projection target according to the user information, wherein the projection target comprises at least one of the at least one target holographic rest bin;

Obtaining audience image data from the projection target, wherein the audience image data comprises image contents of a rest area of the target holographic rest bin corresponding to the projection target;

Generating a second holographic projection from the audience image data;

And sending the second holographic projection to the target holographic lecture cabin so as to display the second holographic projection in the projection area.

In one possible example, the determining a projection target according to the user information includes:

Determining user grade and historical watching number according to the user information, wherein the historical watching number is used for representing the average watching number corresponding to a single speech in a plurality of historical speech of the target user;

Determining a target projection number according to the user grade and the historical viewing number;

determining the current number of people watched by each target holographic rest bin in the at least one target holographic rest bin;

determining whether a single target holographic rest bin with the current watching number of people matched with the target projection number of people exists in the at least one target holographic rest bin;

If yes, determining the target holographic rest bin as a projection target;

And if the target holographic rest bin does not exist, determining at least two target holographic rest bins as the projection targets according to the number of the target projection people and the current number of the watching people corresponding to each target holographic rest bin.

In one possible example, the determining the target projected number of people from the user level and the historical number of people comprises:

determining a preset number of people according to the user grade;

comparing the preset number of people with the historical number of people to obtain a first comparison result;

If the first comparison result is that the preset number of people is smaller than or equal to the historical number of people, determining the preset number of people as a projection number threshold;

If the first comparison result is that the preset number of people is larger than the historical number of people, determining the historical number of people to be the threshold value of the number of projection people;

Obtaining the total number of audience in the at least one target holographic rest bin;

Comparing the threshold value of the number of the projection persons with the total number of the audience to obtain a second comparison result;

if the second comparison result is that the threshold of the number of projection people is smaller than or equal to the total number of audience, the total number of audience is confirmed to be the target number of projection people;

and if the second comparison result is that the threshold number of the projection people is larger than the total number of the audience, determining the threshold number of the projection people as the target projection people.

In one possible example, after the acquiring of the lecture assessment information from the at least one target holographic rest room, the method further comprises:

acquiring an evaluation image of a target holographic rest cabin corresponding to the speech evaluation information;

determining an evaluation user corresponding to the speech evaluation information according to the evaluation image;

Points are accumulated for the evaluating user, the points being used to redeem the item.

In a second aspect, an embodiment of the present application provides a lecture training apparatus, which is applied to a server in a lecture training system, where the lecture training system includes the server, a plurality of holographic rest bins, a plurality of user terminals, and a plurality of holographic lecture bins, where the holographic rest bins include a lecture display area and a rest area, and the lecture training apparatus includes:

a first obtaining unit, configured to obtain a lecture request from a target user terminal, where the target user terminal is any one of the plurality of user terminals;

The second acquisition unit is used for acquiring target image data according to the speech request, wherein the target image data is image content acquired by the target user terminal or a target holographic speech cabin, the target image data comprises character images when a target user performs speech simulation training, and the target holographic speech cabin is any one of the plurality of holographic speech cabins;

A generation unit which generates a first holographic projection according to the target image data;

a first sending unit, configured to send the first holographic projection to at least one target holographic rest bin, so as to display the first holographic projection in a lecture display area of each target holographic rest bin in the at least one target holographic rest bin, where the at least one target holographic rest bin is at least one of the plurality of holographic rest bins, and at least one viewer is in a rest area of a single target holographic rest bin;

a third acquisition unit for acquiring lecture evaluation information from the at least one target holographic rest room, the lecture evaluation information being used for characterizing evaluation content of audience in the at least one target holographic rest room for the first holographic projection;

and the second sending unit is used for sending the speech evaluation information to the target user terminal.

In a third aspect, an embodiment of the present application provides an electronic device comprising a processor, a memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the first aspect of the embodiment of the present application.

In a fourth aspect, embodiments of the present application provide a computer storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to perform some or all of the steps as described in the first aspect of the present embodiment.

It can be seen that this embodiment is applied to the server in the speech training system, and the speech training system includes server, a plurality of holographic rest storehouse, a plurality of user terminal, and a plurality of holographic speech storehouse, and holographic rest storehouse includes speech show area and rest area. In this embodiment, the server obtains a lecture request from a target user terminal, where the target user terminal is any one of multiple user terminals; acquiring target image data according to a lecture request, wherein the target image data is image content acquired by a target user terminal or a target holographic lecture bin, and the target image data comprises character images when a target user performs lecture simulation training; generating a first holographic projection according to the target image data, and transmitting the first holographic projection to at least one target holographic rest bin, so that the first holographic projection is displayed in a speech display area of each target holographic rest bin in the at least one target holographic rest bin, wherein the at least one target holographic rest bin is at least one of a plurality of holographic rest bins, and at least one audience is in a rest area of a single target holographic rest bin; acquiring lecture evaluation information from at least one target holographic rest bin, wherein the lecture evaluation information is used for characterizing evaluation content of audience in the at least one target holographic rest bin aiming at first holographic projection; and sending the speech evaluation information to the target user terminal. The server generates a first holographic projection according to the figure image of the user, sends the holographic projection into a holographic rest bin where the audience is located for the audience to watch, and feeds back the evaluation to the user based on the evaluation after watching. According to the method and the device, the lecture training function of the holographic bin can be realized, the flexibility and the intelligence of the server for information data processing in the function are improved, so that the lecture training requirement of a user is met, the user can obtain real audience evaluation, and the lecture capability of the user is improved.

Drawings

In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic diagram of a speech training system according to an embodiment of the present application;

fig. 2 is a diagram showing a composition example of an electronic device according to an embodiment of the present application;

FIG. 3 is a schematic flow chart of a lecture training method according to an embodiment of the present application;

FIG. 4 is an application scenario diagram of a lecture training method provided by an embodiment of the present application;

FIG. 5 is an application scenario diagram of another lecture training method provided by an embodiment of the present application;

FIG. 6 is an application scenario diagram of yet another lecture training method provided by an embodiment of the present application;

FIG. 7 is a functional block diagram of a first speech training device according to an embodiment of the present application;

fig. 8 is a functional unit block diagram of a second speech training device according to an embodiment of the present application.

Detailed Description

In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

The terms first, second and the like in the description and in the claims and in the above-described figures are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.

Embodiments of the present application will be described below with reference to the accompanying drawings.

The technical scheme of the present application can be applied to a lecture training system 10 as shown in fig. 1, and the lecture training system 10 includes a server 100, a plurality of holographic rest cabins 200, a plurality of holographic lecture cabins 300, and a plurality of user terminals 400. Wherein, a plurality of holographic rest cabins can be put to public place for resident's rest amusement. The holographic lecture cabin can be equipment only used by a lecturer, or can be equipment placed in public places for the lecturer to apply for use. In a specific implementation, a lecturer can directly carry out lecture training through the user terminal and at least one holographic rest cabin. Or the lecturer can apply for using the holographic lecture cabin through the user terminal or directly apply for using through the holographic lecture cabin so as to carry out lecture training through the holographic lecture cabin and at least one holographic rest cabin.

Wherein, see fig. 4 through 6, the holographic rest storehouse includes speech show area and rest area, and the speech show area is used for throwing the holographic image of the person of speech, and rest area is used for supplying resident's rest amusement. Referring to fig. 5 and 6, the holographic speech cabin includes a speech region for a presenter to perform speech training in the region and a projection region for projecting a holographic image of a viewer.

The server may be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDNs, and basic cloud computing services such as big data and artificial intelligence platforms. Servers include, but are not limited to, servers hosting IOS systems, android systems, microsoft systems, or other operating systems, and are not limited herein. The plurality of holographic rest cabins 200, the plurality of holographic lecture cabins 300, and the plurality of user terminals 400 are all communicatively connected to a server.

The user terminal may be a handheld device, an in-vehicle device, a wearable device, a computing device or other processing device connected to a wireless modem, as well as various forms of user devices (UserEquipment, UE), mobile stations (MobileStation, MS), terminal devices (TERMINALDEVICE), etc. with wireless communication capabilities.

The electronic device 20 in the present application may be as shown in fig. 2, the electronic device 20 may be a server 100, a holographic rest room 200, a holographic lecture room 300, or a user terminal 400, and the electronic device 20 may include a processor 210, a memory 220, a communication interface 230, and one or more programs 221, where the one or more programs 221 are stored in the memory 220 and configured to be executed by the processor 210, and the one or more programs 221 include instructions for executing any of the steps of the embodiments of the method.

Wherein the communication interface 230 is used to support communication between the electronic device 20 and other devices. The processor 210 may be, for example, a central processing unit (CentralProcessingUnit, CPU), a general purpose processor, a digital signal processor (DigitalSignalProcessor, DSP), an Application-specific integrated circuit (Application-SpecificIntegratedCircuit, ASIC), a field programmable gate array (FieldProgrammableGateArray, FPGA) or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various exemplary logic blocks, elements and circuits described in connection with the disclosure of embodiments of the application. The processor may also be a combination that performs the function of a computation, e.g., a combination comprising one or more microprocessors, a combination of a DSP and a microprocessor, and the like.

The memory 220 may be volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (programmableROM, PROM), an erasable programmable read-only memory (erasablePROM, EPROM), an electrically erasable programmable read-only memory (electricallyEPROM, EEPROM), or a flash memory, among others. The volatile memory may be Random Access Memory (RAM) which acts as an external cache. By way of example, and not limitation, many forms of Random Access Memory (RAM) are available, such as static random access memory (STATICRAM, SRAM), dynamic Random Access Memory (DRAM), synchronous dynamic random access memory (synchronousDRAM, SDRAM), double data rate synchronous dynamic random access memory (doubledatarateSDRAM, DDRSDRAM), enhanced synchronous dynamic random access memory (ENHANCEDSDRAM, ESDRAM), synchronous link dynamic random access memory (SYNCHLINKDRAM, SLDRAM), and direct memory bus random access memory (directrambusRAM, DRRAM).

In particular, the processor 210 is configured to perform any step performed by the server 100, the holographic rest room 200, the holographic lecture room 300, or the user terminal 400 in the method embodiments described below, and when performing data transmission such as sending, the communication interface 230 is selectively invoked to complete the corresponding operation.

It should be noted that the above schematic structural diagram of the electronic device 20 is merely an example, and more or fewer devices may be specifically included, which is not limited herein.

Referring to fig. 3, fig. 3 is a flowchart of a speech training method according to an embodiment of the present application, where the method may be applied to a server 100 in a speech training system shown in fig. 1, and as shown in fig. 3, the speech training method includes:

Step S310, a lecture request from a target user terminal is acquired.

Wherein the target user terminal is any one of a plurality of user terminals.

The lecture request can be a request for applying to use the target user terminal to carry out lecture training; or the lecture request may be a request for lecture training using a certain target holographic lecture room.

Step S320, obtaining target image data according to the speech request.

The target image data is image content collected by a target user terminal or a target holographic speech cabin, the target image data comprises character images when the target user performs speech simulation training, and the target holographic speech cabin is any one of the plurality of holographic speech cabins.

In a specific implementation, the target image data can be image content acquired in real time when the target user performs speech training, so that the sense of reality of the target user performing the speech training is improved, and the user experience is improved. Or the target image data may be a complete image of the whole lecture training process uploaded by the target user.

For example, referring to fig. 4, when the device for performing lecture training by the target user is the target user terminal, the target image data may be directly acquired by the image capturing device on the target user terminal. Or the target user terminal can also control the camera equipment outside the target user terminal to collect the target image data when the target user performs the speech training. And then uploading the collected target image data to a server through a target user terminal. It will be appreciated that when the device on which the target user performs speech training is the target user terminal, the location on which the target user performs speech training may be any location.

For example, referring to fig. 5 or 6, when the device for performing speech training by the target user is a target holographic speech cabin, target image data may be acquired through an image capturing device provided in the target holographic speech cabin and uploaded to the server through the target holographic speech cabin.

Step S330, generating a first holographic projection according to the target image data, and sending the first holographic projection to at least one target holographic rest bin, so as to display the first holographic projection in a lecture display area of each target holographic rest bin in the at least one target holographic rest bin.

Wherein the at least one target holographic rest bin is at least one of a plurality of holographic rest bins, and at least one viewer is in the rest area of the single target holographic rest bin.

Specifically, each holographic rest cabin comprises a speech display area and a rest area, and the speech display area is provided with a speech imaging device. Of course, the holographic rest room is also provided with an audio device for playing the speech content of the target user.

In a specific implementation, the audience in the plurality of holographic rest bins can selectively interact with the target user, the target holographic rest bins can be formed after selection, and the lecture training holographic projection of the target user can be watched through the lecture display area of the target holographic rest bins.

In a specific implementation, after each target holographic rest bin receives the first holographic projection, the first holographic projection is displayed through an imaging device in the target holographic projection bin, so that the projection of a target user is imaged in a speech display area for viewing by a viewer positioned in the rest area.

And step S340, acquiring speech evaluation information from the at least one target holographic rest cabin.

The lecture evaluation information is used for characterizing evaluation content of audience in at least one target holographic rest bin aiming at the first holographic projection.

In a specific implementation, the audience in the target holographic rest room may send the lecture evaluation information (such as the lecture evaluation information shown in fig. 4 and 5, or the first lecture evaluation information and the second lecture evaluation information shown in fig. 6) to the server through the interaction device (such as the operation device in fig. 4 to 6) in the target holographic rest room during the projection process or after the projection is completed, so as to send the lecture evaluation information to the lecture training device of the target user through the service device. Or the audience in the target holographic rest bin can be associated with the target holographic rest bin through own terminal equipment, so that the audience can evaluate the target holographic rest bin through own terminal equipment, and the evaluation convenience and the intelligence are improved.

Specifically, each user in each target holographic rest room may send lecture rating information to the server. When the lecture evaluation information is too much, the server can also screen the lecture evaluation information and send the screened lecture evaluation information to the lecture training equipment of the target user, so that the content relevance of the lecture evaluation information and the lecture training is improved, and the repetitive content is reduced, so that the target user can check conveniently.

And step S350, the speech evaluation information is sent to the target user terminal.

Specifically, if the training device of the target user is the target user terminal, the server may directly send the speech evaluation information to the target user terminal, so as to facilitate the target user to view, thereby improving the deficiency in speech training according to the speech evaluation information.

Or specifically, if the training device of the target user is the target holographic speech cabin, the server may send the speech evaluation information to at least one of the target user terminal and the target holographic speech cabin, so that the target user can watch the speech evaluation information and trace back after the time, so as to improve the speech capability of the target user.

In one possible example, the acquiring the target image data according to the lecture request includes: determining target speech equipment of the target user according to the speech request, wherein the target speech equipment is equipment indicated by the speech request and used for performing speech simulation training, the target speech equipment is the target user terminal or the target holographic speech cabin, and the target holographic speech cabin is any one of the holographic speech cabins; if the target speech equipment is the user terminal, acquiring the target image data from the user terminal; if the target speech equipment is the target holographic speech cabin, acquiring user information of the target user, and determining whether the target user reaches preset use conditions according to the user information; if so, acquiring the target image data from the target holographic speech cabin; if not, sending a request failure prompt to the target user terminal.

The user information of the target user comprises information such as historical speech times, historical speech duration, user grade and the like of the target user.

In a specific implementation, after receiving the lecture request, the server extracts lecture equipment information carried by the lecture request. And if the speech equipment information corresponds to the target user terminal, determining the target user terminal as the target speech equipment for carrying out speech simulation training. And the target image data can be acquired through the target user terminal and sent to the server.

In the specific implementation, if the speech equipment information corresponds to a holographic speech cabin, the user information of the target user is called, and whether the target user reaches the preset use condition for using the holographic speech cabin to carry out speech training is determined according to the user information of the target user.

Specifically, if the target user does not reach the preset use condition, the server sends a request failure prompt to the target user terminal so as to instruct the target user terminal to display the request failure content. The request failure content may be a target presentation device replacement confirmation. If the target user agrees to the replacement, the target user terminal can be used for the lecture training, and if the target user does not agree to the replacement, the target user is determined to give up the lecture training request.

Specifically, if the target user reaches a preset use condition, the server can confirm the use state of the holographic speech cabin applied by the target user, and if the holographic speech cabin applied by the target user is not currently used, the holographic speech cabin applied by the target user can be determined as target speech equipment. If the holographic speech cabin of the application is currently being used, the server may send a device selection confirmation message to the target user terminal. The device selection confirmation message includes device recommendation confirmation information and device queuing confirmation information. The equipment recommends the confirmation information to be an idle holographic speech cabin recommended by the server for the target user. The idle holographic speech cabin may be the holographic speech cabin closest to the current distance of the target user and idle. The queuing confirmation information is confirmation information of adding the target user into a queuing sequence of the holographic speech cabin applied by the target user. The server may determine the recommended holographic speech cabin or the holographic speech cabin applied by the target user as the target speech device according to the feedback of the target user device selection confirmation message for the device.

Further, when the target user selects to add the target holographic speech cabin to the queuing sequence of the holographic speech cabin, the holographic speech cabin of the application can be determined as the target holographic speech cabin, and the target holographic speech cabin can acquire target image data when the target user rotates and send the target image data to the server.

Illustratively, if the preset use condition of the holographic speech cabin is applied for use, the user grade reaches 5 grades. The server can acquire the user grade of the target user through the user information of the target user, and if the user grade of the target user is higher than grade 5 (such as grade 7), the preset use condition is achieved. If the user level of the target user is lower than 5 (e.g., level 2), the preset use condition is not reached.

In this example, when the target user initiates the lecture request, the target lecture device is determined according to the device applied by the target user, so that the target image data of the target user is collected through the target lecture device and sent to the server, which is beneficial to improving the flexibility and intelligence of the lecture training system for information data processing interaction. Meanwhile, when the target user applies for taking the holographic speech cabin as target speech equipment, whether the target user reaches preset use conditions is determined according to user information, so that the holographic speech equipment is taken as target speech equipment which can be used by the target user when the preset use conditions are met. It can be understood that the basic training requirements can be met by performing the lecture training through the user terminal, and the basic user can perform enough basic training through the user terminal to improve the lecture capability so as to reduce the frequency of application use of the holographic lecture warehouse, thereby providing more higher-order users for use and improving the lecture level. The method and the system are beneficial to improving the flexibility and accuracy of the server for processing the lecture request, thereby meeting the requirements of different users and improving the user experience.

In one possible example, the determining whether the target user reaches a preset use condition according to the user information includes determining a historical lecture number of times of the target user according to the user information; determining whether the historical speech times reach preset times or not; if yes, determining the speech integral of the target user according to the user information, and determining whether the speech integral reaches a preset integral or not; if so, judging that the target user reaches a preset use condition; if the preset service condition is not met, judging that the target user does not meet the preset service condition; if not, judging that the target user does not reach the preset use condition.

The historical speech times refer to the times of speech training of a user through a speech training system. The magnitude of the speech score is used to characterize the speech capabilities of the user.

Specifically, the speech points may be accumulated by the number of times of speech, for example, the accumulated speech points of the user are added by 1 each time the user completes the speech training. Meanwhile, the speech score can be obtained through speech evaluation information. For example, the lecture evaluation information includes lecture scores, and the server may accumulate lecture scores corresponding to a section where an average lecture score of a single lecture of the user is located, for the user. For example, if the user obtains three lecture scores of 7, 8, and 9 after a lecture, the average lecture score of the user at that lecture may be determined to be 8. The server may invoke a correspondence of the average speech score and the speech score. For example, the correspondence between the average speech score and the speech score is: less than 6 points, no speech points are accumulated, 0.5 speech points are accumulated from 6 points to 8 points, and 1 speech point is accumulated from 8 points to 10 points.

In a specific implementation, the preset times may be the times of performing speech training by using the terminal device. The server can firstly acquire the historical times of the target user for carrying out the speech training by using the target user equipment from the user information of the target user, and then acquire the speech integral of the target user from the user information of the target user if the historical times are larger than or equal to the preset times so as to compare the speech integral of the target user with the preset integral. If the speech integral of the target user is larger than or equal to the preset integral, determining that the target user achieves the preset use condition of using the holographic speech cabin. If the historical times of the target user for the lecture training by using the target user equipment are smaller than the preset times or the lecture integral of the target user is smaller than the preset integral, determining that the target user does not reach the preset use condition of the holographic lecture bin. That is, in the present example, the preset use condition is that the lecture integral reaches the preset integral while the number of historic lectures reaches the preset number.

It can be seen that, in this example, by determining whether the historical lecture times of the target user reach the preset times and determining whether the lecture points of the target user reach the preset points, users who can proficiently use the lecture training system to perform lecture training and whose lecture capability meets the standards can be screened out, so that higher-order training can be performed through the holographic lecture bin, and the lecture capability is improved. Meanwhile, the user with relatively poor lecture capability after part of multiple training can be screened out, so that the user can further improve the capability through basic training. This example facilitates improved intelligence and accuracy of server-to-lecture request processing.

In one possible example, the holographic speech cabin includes a speech region and a projection region; when the target user reaches the preset use condition, the method further comprises the following steps: determining a projection target according to the user information, wherein the projection target comprises at least one of the at least one target holographic rest bin; obtaining audience image data from the projection target, wherein the audience image data comprises image contents of a rest area of the target holographic rest bin corresponding to the projection target; generating a second holographic projection from the audience image data; and sending the second holographic projection to the target holographic lecture cabin so as to display the second holographic projection in the projection area.

In the specific implementation, when the target user performs the lecture training through the target holographic lecture cabin, the audience in the target holographic rest cabin which is currently watching the first holographic projection corresponding to the lecture training of the target user can be projected in the target holographic lecture cabin. Specifically, when the target user performs the lecture training through the target holographic lecture bin, the server may select at least one target holographic rest bin among at least one target holographic rest bins currently watching the first holographic projection corresponding to the lecture training as the projection target. After the projection target is confirmed, the image pickup device in the target holographic rest cabin corresponding to the projection target can collect audience image data corresponding to an audience in the rest area and upload the audience image data to the server, and the server can generate second holographic projection according to the audience image data and send the second holographic projection to the target holographic speech cabin so as to display the second holographic projection in the projection area of the target holographic speech cabin through the audience imaging device in the target holographic speech cabin.

It can be seen that, in this example, by projecting the second holographic image of the audience currently watching in the projection area of the target holographic speech cabin, the target user in the target holographic speech cabin can obtain the field reaction of the audience more intuitively and in an imaging manner, so that the sense of reality of the speech training interaction is improved, the diversity of functions realized by the speech training system is facilitated to be improved, the flexibility of data information processing of the server is improved, and the user experience is improved.

In one possible example, the determining a projection target according to the user information includes: determining user grade and historical watching number according to the user information, wherein the historical watching number is used for representing the average watching number corresponding to a single speech in a plurality of historical speech of the target user; determining a target projection number according to the user grade and the historical viewing number; determining the current number of people watched by each target holographic rest bin in the at least one target holographic rest bin; determining whether a single target holographic rest bin with the current watching number of people matched with the target projection number of people exists in the at least one target holographic rest bin; if yes, determining the target holographic rest bin as a projection target; and if the target holographic rest bin does not exist, determining at least two target holographic rest bins as the projection targets according to the number of the target projection people and the current number of the watching people corresponding to each target holographic rest bin.

In a specific implementation, the server may obtain, from the user information of the target user, the user level of the target user, the number of historic lectures, and the highest number of viewers for each of the historic lectures. Then, the average value of the corresponding highest number of viewers in the past lectures is calculated, and the average value is determined as the historical number of viewers. For example, if the number of historical training of the target user is 7, the highest viewing number of people corresponding to each time is 3, 8, 6, 20, 15, 18, 14, then the number of historical viewing people is 12. Or specifically, when the corresponding highest number of viewers in the past lectures is averaged, the maximum value and the minimum value thereof can be removed, so that the determined historical number of viewers is more accurate. Or specifically, when the average value of the highest number of viewers corresponding to the past lectures is calculated, the average value of the highest number of viewers corresponding to the preset lecture times adjacent to the current lecture time can be calculated, so that the calculated historical number of viewers is closer to the recent lecture training condition of the target user.

In the specific implementation, when the server determines the projection target according to the user grade and the historical viewing people, the target projection people number to be projected can be determined according to the user grade and the historical viewing people number, then the current viewing people numbers corresponding to all the target holographic rest bins respectively are obtained, and the projection target is determined by comparing the target projection people number with the current viewing people corresponding to all the target holographic rest bins respectively.

Specifically, if the current number of the people watched by one target holographic rest bin corresponds to the number of the target projection people, the target holographic rest bin is determined to be a projection target; and if the current number of the watching persons corresponding to the plurality of target holographic rest bins corresponds to the number of the target projection persons, determining any one of the plurality of target holographic rest bins as the projection target. And if the current watching number of the target holographic rest bin does not correspond to the target projection number and the target holographic rest bin with the current watching number of the target holographic rest bin smaller than the target projection number exists, determining at least two target holographic rest bins with the sum of the current watching number of the target holographic rest bins equal to or approximately equal to the target projection number as projection targets. Or selecting at least two target holographic rest bins as projection targets, and projecting partial spectators in the at least two target holographic rest bins so as to keep the actual projection number and the target projection number consistent. If the current watching number of the target holographic rest bin does not correspond to the target projection number, and the current watching number of all the target holographic rest bins is larger than the target projection number, determining the target holographic rest bin with the minimum current watching number as a projection target.

For example, referring to fig. 5, if the number of projection targets corresponding to the target holographic speech cabin is 3, and the number of current watching persons is 3 in the target holographic rest cabin for watching the speech training corresponding to the target holographic speech cabin, determining the target holographic rest cabin as the projection target. And the second holographic projection information is generated according to the audience image data acquired by the image pickup device in the target holographic rest cabin, is sent to the target holographic speech cabin, and is projected to the projection area through the audience imaging device in the target holographic speech cabin.

For example, referring to fig. 6, if the number of target projections corresponding to the target holographic speech cabin is 5, there are no target holographic rest cabins with current viewing number of 5, but there are two target holographic rest cabins with current viewing number of 3 and 2 (such as the first target holographic rest cabin and the second target holographic rest cabin shown in fig. 6), the two target holographic rest cabins may be determined as projection targets. And generating second holographic projection information according to the first audience image data and the second audience image data acquired by the image pickup devices in the two target holographic rest cabins, sending the second holographic projection information to the target holographic lecture cabins, and projecting the second holographic projection information to a projection area through audience imaging devices (such as the first audience imaging device and the second audience imaging device shown in fig. 6) in the target holographic lecture cabins.

It can be seen that, in this example, by taking at least one of all the target holographic rest bins as a projection target in units of the target holographic rest bins, the amount of data that needs to be processed when the server generates the second holographic projection information can be reduced, thereby reducing the processing pressure of the server and improving the efficiency of generating the second holographic projection.

In one possible example, the determining the target projected number of people from the user level and the historical number of people comprises: determining a preset number of people according to the user grade; comparing the preset number of people with the historical number of people to obtain a first comparison result; if the first comparison result is that the preset number of people is smaller than or equal to the historical number of people, determining the preset number of people as a projection number threshold; if the first comparison result is that the preset number of people is larger than the historical number of people, determining the historical number of people to be the threshold value of the number of projection people; obtaining the total number of audience in the at least one target holographic rest bin; comparing the threshold value of the number of the projection persons with the total number of the audience to obtain a second comparison result; if the second comparison result is that the threshold of the number of projection people is smaller than or equal to the total number of audience, the total number of audience is confirmed to be the target number of projection people; and if the second comparison result is that the threshold number of the projection people is larger than the total number of the audience, determining the threshold number of the projection people as the target projection people.

The preset number of people is the maximum number of people for projection in the holographic lecture warehouse corresponding to the user grade.

In a specific implementation, when determining the target projection number of people, the server may first determine the preset number of people corresponding to the user level in a table look-up manner according to the user level of the target user. And then comparing the preset number of people with the historical number of people to determine the smaller number of people as a projection number threshold value, so that the projection number threshold value is more in line with the current speech capability of the target user. After the projector number threshold is determined, the projector number threshold is compared with the total number of audience of all audience in all target holographic rest cabins, so that whether the total number of audience currently watched reaches the projector number threshold is determined. If the total number of spectators is smaller than the threshold number of projecting persons, the threshold number of projecting persons is not reached, and the total number of spectators can be determined to be the target projecting persons so as to project all spectators to the target holographic speech cabin in a holographic mode. If the total number of the audiences is greater than or equal to the threshold of the number of the projection people, the threshold of the number of the projection people is determined to be the target projection people, and partial audiences corresponding to the threshold of the number of the projection people in all audiences are selected to be holographically projected to the target holographic lecture warehouse.

In this example, the preset number of people and the historical number of people corresponding to the user level of the target user are compared, the smaller value of the preset number of people and the historical number of people is determined to be the projection number threshold, and the smaller value of the projection number threshold and the total number of audiences are compared to determine the smaller value of the projection number threshold and the total number of audiences as the target projection number, so that the target projection number is matched with the lecture capability of the target user while the actual lecture situation is met, and meanwhile, the flexibility and the intelligence of the data information processing of the server are improved, and the data processing capacity of the server is reduced.

In one possible example, after the acquiring of the lecture assessment information from the at least one target holographic rest room, the method further comprises: acquiring an evaluation image of a target holographic rest cabin corresponding to the speech evaluation information; determining an evaluation user corresponding to the speech evaluation information according to the evaluation image; points are accumulated for the evaluating user, the points being used to redeem the item.

In a specific implementation, referring to fig. 4 to 6, the resting area of the holographic resting warehouse can be provided with a point exchange cabinet, and articles such as beverages, snacks and the like are arranged in the point exchange cabinet so as to be exchanged and eaten by spectators in the resting area, thereby improving the use experience of the spectators. Wherein different items within the points redemption cabinet can be swapped for different numbers of points (3 points, 5 points as shown in fig. 4-6).

Specifically, the method is used for exchanging the points of the articles, and the audience can put forward the acquisition of the speech evaluation information, so that the watching enthusiasm of the audience is improved, and the application effect of the speech training system is improved.

For example, when the target holographic rest cabin uploads the lecture evaluation information to the server, the evaluation image corresponding to the lecture evaluation information may be uploaded correspondingly, and the evaluation image includes the character image of the sponsor of the lecture evaluation information. The server can identify the identity of the viewer by evaluating the images and accumulate points for the viewer each time the viewer gives speech evaluation information.

In the specific implementation, the target user can also determine whether to adopt the speech evaluation information of the audience through the target user equipment or the target holographic speech cabin, and if so, the accumulated points can be further accumulated for the audience, so that the flexibility of the server in processing the data information is improved. Illustratively, the audience member may add up 1 point to a piece of speech rating information. If the target user adopted the speech rating information, the server may also accumulate a further 1 point for the audience.

Therefore, in the example, the audience who presents the speech evaluation information is accumulated and integrated so that the audience can correspond to the object, the richness of the function of the speech training system can be further realized, and the enthusiasm of the audience to watch the holographic projection of the speech training can be improved, so that the application effect of the speech training system is improved. In addition, the accuracy of information data processing by the server can be improved by evaluating the images to identify the identity of the audience so as to accumulate points for the audience, thereby improving the accuracy of the identity identification of the audience.

The present application may divide the functional units of the server according to the above-described method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated in one processing unit. The integrated units may be implemented in hardware or in software functional units. It should be noted that, in the embodiment of the present application, the division of the units is schematic, which is merely a logic function division, and other division manners may be implemented in actual practice.

Fig. 7 is a functional unit block diagram of a first speech training device according to an embodiment of the present application. The first lecture training apparatus 70 may be applied to a server 100 in a lecture training system as shown in fig. 1, and the first lecture training apparatus 70 includes:

a first obtaining unit 710, configured to obtain a lecture request from a target user terminal, where the target user terminal is any one of the plurality of user terminals;

A second obtaining unit 720, configured to obtain target image data according to the lecture request, where the target image data is image content collected by the target user terminal or a target holographic lecture bin, the target image data includes a character image when the target user performs lecture simulation training, and the target holographic lecture bin is any one of the plurality of holographic lecture bins;

a generating unit 730 for generating a first holographic projection according to the target image data;

A first sending unit 740, configured to send the first holographic projection to at least one target holographic rest bin, so as to display the first holographic projection in a lecture display area of each target holographic rest bin in the at least one target holographic rest bin, where the at least one target holographic rest bin is at least one of the plurality of holographic rest bins, and at least one viewer is in a rest area of a single target holographic rest bin;

a third obtaining unit 750, configured to obtain lecture evaluation information from the at least one target holographic rest room, where the lecture evaluation information is used to characterize evaluation content of the audience in the at least one target holographic rest room with respect to the first holographic projection;

And a second transmitting unit 760 for transmitting the lecture evaluation information to the target user terminal.

In one possible example, in the aspect of acquiring the target image data according to the lecture request, the second acquiring unit is specifically configured to:

Determining target speech equipment of the target user according to the speech request, wherein the target speech equipment is equipment indicated by the speech request and used for performing speech simulation training, the target speech equipment is the target user terminal or the target holographic speech cabin, and the target holographic speech cabin is any one of the holographic speech cabins; if the target speech equipment is the user terminal, acquiring the target image data from the user terminal; if the target speech equipment is the target holographic speech cabin, acquiring user information of the target user, and determining whether the target user reaches preset use conditions according to the user information; if so, acquiring the target image data from the target holographic speech cabin; if not, sending a request failure prompt to the target user terminal.

In one possible example, in the determining whether the target user reaches a preset use condition according to the user information, the second obtaining unit is specifically further configured to: determining the historical speech times of the target user according to the user information; determining whether the historical speech times reach preset times or not; if yes, determining the speech integral of the target user according to the user information, and determining whether the speech integral reaches a preset integral or not; if so, judging that the target user reaches a preset use condition; if the preset service condition is not met, judging that the target user does not meet the preset service condition; if not, judging that the target user does not reach the preset use condition.

In one possible example, the holographic speech cabin includes a speech region and a projection region; when the target user reaches the preset use condition, the first speech training device further comprises a determining unit, a fourth obtaining unit, a second generating unit and a third sending unit; the determining unit is used for determining a projection target according to the user information, wherein the projection target comprises at least one of the at least one target holographic rest bin; the fourth acquisition unit is configured to acquire audience image data from the projection target, where the audience image data includes image content of a rest area of the target holographic rest bin corresponding to the projection target; a second generation unit for generating a second holographic projection from the audience image data; and the third sending unit is used for sending the second holographic projection to the target holographic lecture cabin so as to display the second holographic projection in the projection area.

In one possible example, in said determining a projection target according to said user information, said determining unit is specifically configured to: determining user grade and historical watching number according to the user information, wherein the historical watching number is used for representing the average watching number corresponding to a single speech in a plurality of historical speech of the target user; determining a target projection number according to the user grade and the historical viewing number; determining the current number of people watched by each target holographic rest bin in the at least one target holographic rest bin; determining whether a single target holographic rest bin with the current watching number of people matched with the target projection number of people exists in the at least one target holographic rest bin; if yes, determining the target holographic rest bin as a projection target; and if the target holographic rest bin does not exist, determining at least two target holographic rest bins as the projection targets according to the number of the target projection people and the current number of the watching people corresponding to each target holographic rest bin.

In one possible example, in said determining a target projected population from said user level and said historical number of viewers, said determining unit is specifically further configured to: determining a preset number of people according to the user grade; comparing the preset number of people with the historical number of people to obtain a first comparison result; if the first comparison result is that the preset number of people is smaller than or equal to the historical number of people, determining the preset number of people as a projection number threshold; if the first comparison result is that the preset number of people is larger than the historical number of people, determining the historical number of people to be the threshold value of the number of projection people; obtaining the total number of audience in the at least one target holographic rest bin; comparing the threshold value of the number of the projection persons with the total number of the audience to obtain a second comparison result; if the second comparison result is that the threshold of the number of projection people is smaller than or equal to the total number of audience, the total number of audience is confirmed to be the target number of projection people; and if the second comparison result is that the threshold number of the projection people is larger than the total number of the audience, determining the threshold number of the projection people as the target projection people.

In one possible example, after the acquiring the lecture evaluation information from the at least one target holographic rest room, the first lecture training apparatus further includes a redemption unit, where the redemption unit is specifically configured to: acquiring an evaluation image of a target holographic rest cabin corresponding to the speech evaluation information; determining an evaluation user corresponding to the speech evaluation information according to the evaluation image; points are accumulated for the evaluating user, the points being used to redeem the item.

In the case of adopting integrated units, a functional unit composition block diagram of a second speech training device provided by an embodiment of the present application is shown in fig. 8. In fig. 8, the second lecture training apparatus 80 includes: a processing module 820 and a communication module 810. The processing module 820 is configured to control and manage actions of the second speech training device, e.g., steps performed by the first obtaining unit 710, the second obtaining unit 720, the generating unit 730, the first sending unit 740, the third obtaining unit 750, the second sending unit 760, and/or other processes for performing the techniques described herein. The communication module 810 is used to support interactions between the second speech training apparatus 80 and other devices. As shown in fig. 8, the second speech training device 80 may further include a storage module 830, where the storage module 830 is configured to store program codes and data of the second speech training device 80.

The processing module 820 may be a processor or controller, such as a central processing unit (CentralProcessingUnit, CPU), a general purpose processor, a digital signal processor (DigitalSignalProcessor, DSP), an ASIC, an FPGA or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules and circuits described in connection with the disclosure of embodiments of the application. The processor may also be a combination that performs the function of a computation, e.g., a combination comprising one or more microprocessors, a combination of a DSP and a microprocessor, and the like. The communication module 810 may be a transceiver, an RF circuit, or a communication interface, etc. The storage module 830 may be a memory.

All relevant contents of each scenario related to the above method embodiment may be cited to the functional description of the corresponding functional module, which is not described herein. The second speech training devices may perform the steps performed by the server in the speech training method shown in fig. 3.

The embodiment of the present application also provides a computer storage medium storing a computer program for electronic data exchange, where the computer program causes a computer to execute part or all of the steps of any one of the methods described in the above method embodiments, and the computer includes a server.

It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present application is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required for the present application.

In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.

In the several embodiments provided by the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, such as the above-described division of units, merely a division of logic functions, and there may be additional manners of dividing in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, or may be in electrical or other forms.

The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units described above, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a memory, comprising several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the above-mentioned method of the various embodiments of the present application. And the aforementioned memory includes: a U-disk, a Read-only memory (ROM), a random access memory (RAM, randomAccessMemory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.

Those of ordinary skill in the art will appreciate that all or a portion of the steps in the various methods of the above embodiments may be implemented by a program that instructs associated hardware, and the program may be stored in a computer readable memory, which may include: flash disk, read-only memory (ROM), random Access Memory (RAM), magnetic disk or optical disk.

The foregoing has outlined rather broadly the more detailed description of embodiments of the application, wherein the principles and embodiments of the application are explained in detail using specific examples, the above examples being provided solely to facilitate the understanding of the method and core concepts of the application; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.

Claims

1. A lecture training method, characterized by being applied to a server in a lecture training system, the lecture training system comprising the server, a plurality of holographic rest bins, a plurality of user terminals, and a plurality of holographic lecture bins, the holographic rest bins comprising lecture presentation areas and rest areas, the method comprising:

Determining target speech equipment of the target user according to the speech request, wherein the target speech equipment is equipment indicated by the speech request and used for performing speech simulation training, the target speech equipment is the target user terminal or a target holographic speech cabin, and the target holographic speech cabin is any one of the holographic speech cabins;

If the target speech equipment is the target user terminal, acquiring target image data from the target user terminal, wherein the target image data comprises character images when a target user performs speech simulation training;

if the target speech equipment is the target holographic speech cabin, acquiring user information of the target user, and determining whether the target user reaches preset use conditions according to the user information of the target user;

If the request failure content is not met, a request failure prompt is sent to the target user terminal, the request failure prompt is used for indicating the target user terminal to display the request failure content, and the request failure content comprises the replacement confirmation information of the target speech equipment;

acquiring a confirmation reply message of the target user terminal aiming at the target speech equipment replacement confirmation information;

If the confirmation reply message is confirmation replacement, updating the target speech equipment to the target user terminal, and acquiring the target image data from the target user terminal;

If the confirmation reply message is that the confirmation is not replaced, confirming that the speech request fails;

generating a first holographic projection according to the target image data from the target user terminal or the target holographic speech cabin, and sending the first holographic projection to at least one target holographic rest cabin so as to display the first holographic projection in a speech display area of each target holographic rest cabin in the at least one target holographic rest cabin, wherein the at least one target holographic rest cabin is at least one of the plurality of holographic rest cabins, and at least one audience exists in a rest area of a single target holographic rest cabin;

and sending the speech evaluation information to the target user terminal.

2. The method of claim 1, wherein the determining whether the target user reaches a preset usage condition according to the user information of the target user comprises:

Determining the historical speech times of the target user according to the user information of the target user;

determining whether the historical speech times reach preset times or not;

If yes, determining a speech integral of the target user according to the user information of the target user, and determining whether the speech integral reaches a preset integral or not;

If so, judging that the target user reaches a preset use condition;

if not, judging that the target user does not reach the preset use condition.

3. The method of claim 1, wherein the holographic speech cabin comprises a speech region and a projection region; when the target user reaches the preset use condition, the method further comprises the following steps:

determining a projection target according to user information of the target user, wherein the projection target comprises at least one of the at least one target holographic rest bin;

Generating a second holographic projection from the audience image data;

4. A method as claimed in claim 3, wherein said determining a projection target from user information of said target user comprises:

determining user grade and historical watching number according to the user information of the target user, wherein the historical watching number is used for representing the average watching number corresponding to a single speech of the target user in a plurality of historical speech;

If yes, determining the target holographic rest bin as a projection target;

5. The method of claim 4, wherein said determining a target projected number of people based on said user level and said historical number of people watched comprises:

determining a preset number of people according to the user grade;

6. The method of claim 1, wherein after the acquiring of the lecture assessment information from the at least one target holographic rest room, the method further comprises:

7. The utility model provides a speech training device, its characterized in that is applied to the server in the speech training system, the speech training system includes server, a plurality of holographic rest storehouse, a plurality of user terminal, and a plurality of holographic speech storehouse, holographic rest storehouse includes speech show area and rest area, speech training device includes:

The second acquisition unit is used for determining target speech equipment of the target user according to the speech request, wherein the target speech equipment is equipment indicated by the speech request and used for performing speech simulation training, the target speech equipment is the target user terminal or a target holographic speech cabin, and the target holographic speech cabin is any one of the plurality of holographic speech cabins; if the target speech equipment is the target user terminal, acquiring target image data from the target user terminal, wherein the target image data comprises character images when a target user performs speech simulation training; if the target speech equipment is the target holographic speech cabin, acquiring user information of the target user, and determining whether the target user reaches preset use conditions according to the user information of the target user; if so, acquiring the target image data from the target holographic speech cabin; if the request failure content is not met, a request failure prompt is sent to the target user terminal, the request failure prompt is used for indicating the target user terminal to display the request failure content, and the request failure content comprises the replacement confirmation information of the target speech equipment; acquiring a confirmation reply message of the target user terminal aiming at the target speech equipment replacement confirmation information; if the confirmation reply message is confirmation replacement, updating the target speech equipment to the target user terminal, and acquiring the target image data from the target user terminal; if the confirmation reply message is that the confirmation is not replaced, confirming that the speech request fails;

A generation unit for generating a first holographic projection according to the target image data from the target user terminal or the target holographic speech cabin;

8. An electronic device comprising a processor, a memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-6.

9. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the steps in the method according to any one of claims 1-6.