KR101138753B1 - Conversation studying system and method by using mobile communication terminal - Google Patents

Abstract

The present invention relates to a conversational learning system and method using a mobile communication terminal. The disclosed learning system is a conversational learning system for providing a conversational learning service to a conversational learner using a mobile communication network. To the mobile communication network, and outputs the conversation situation information and voice received through the mobile communication network, a speech recognition engine for recognizing a voice for conversation learning input through the mobile communication terminal, and a conversation learning service For each situation, the learning material DB that stores the expected conversation contents between the learner and the system, and the speech recognition engine recognizes the voice transmitted through the mobile communication terminal and provides the discernible data. Extract and extract the extracted answer data It includes a conversation learning server that transmits a voice to the user, and uses a mobile communication terminal for conversational learning, thus guaranteeing high mobility, and taking a conversational method of answering the system when a user speaks in various situations set by the system. By maximizing your creativity, you can benefit from high learning achievement.

Mobile terminal, conversation learning, avatar

Description

Conversation learning system and method using mobile communication terminal {CONVERSATION STUDYING SYSTEM AND METHOD BY USING MOBILE COMMUNICATION TERMINAL}

1 is a block diagram of a conversational learning system using a mobile communication terminal according to the present invention;

Figure 2 is a flow chart showing a conversation learning process by the conversation learning system according to the present invention.

<Explanation of symbols for the main parts of the drawings>

110: mobile communication terminal 120: wireless access network

121: base station transmitter 123: base station controller

130: mobile switching center 140: home location register

150: speech recognition engine 160: conversation learning server

171: Learning Materials DB 173: Members DB

175: avatar DB 177: billing DB

The present invention relates to a conversation learning system and method using a mobile communication terminal, and to a conversation learning system and method using a mobile communication terminal that provides a conversation learning service between a conversation learner and a system using a mobile communication terminal.

In general, the best way to learn a foreign language is to live in the country, live with locals, and learn about the culture and customs of the country. Therefore, the language training is popular these days, but not only economic difficulties, but also less time to talk with foreigners than you think, it takes a long time to learn conversation. The reason is that there are only a few foreigners in the part-time job who can communicate with foreigners other than the teachers at the language school.

Also, real-life paintings are not learned very much because real-life paintings are economically expensive. For example, if you learn the general words used in coffee shops, there are a lot of words that you do not know if you do not go there directly.

On the other hand, in addition to the methods described above, as an effective foreign language learning method, it is a method of setting and practicing various situations while frequently using a foreign language through repetitive learning, which is also not easy.

In addition, the way to learn a foreign language is to study in academy, but studying in a limited situation is not easy to see the great effect. Therefore, they may practice conversation with native speakers or form study groups, but there are many difficulties due to economic burdens and time constraints. Moreover, there is a way to learn a foreign language over the telephone these days, but it is difficult to set up the situation although it is less time-consuming and economical. In addition, there are various learning methods, but there are few effective learning methods based on repetitive learning and situation setting.

As a method for providing a learning service according to foreign language learning as described above, the most common form is to deliver educational materials such as books or problem papers to the home of a user who wants to use the learning service, and then use the delivered book or problem paper. It is well known that the study was voluntary.

However, as the use of the Internet is generalized according to the development of technology, various learning websites that provide an opportunity to learn through the Internet are operating. Since most of these learning websites only provide educational materials to users, they are only in the form of expecting the learning effect only by the user's personal efforts, and do not inspire the user's desire for achievement and motivation for learning.

In addition, as a method of providing a learning service of another type, a team is formed between one user or a plurality of users, and the alphabets are assigned and input one by one in order according to a predetermined order in order to match invisible English words or sentences. If the alphabet is present in the word, it is inferred through the alphabet corresponding to the game to solve the problem.

However, the method described above is only a conversion of the game format that was aired on US television to online form, and the learning effect that can be acquired through the game is only an increase in the number of words memorized. In addition, listening and conversation are becoming more important at the present time when there are more exchanges with foreigners, but there is a problem that cannot reflect the trend of the times.

In addition, as a conventional method of providing a general learning service, the expectation of the learning effect through the problem or quiz solving provided on the website cannot be expected to have a great effect in terms of the psychological concentration and interest of the user. There is a problem that does not contribute significantly to the overall language improvement.

In addition, the conventional learning service providing method has a limitation that can not escape the framework of the injection-type education, which is gradually emphasized the negative side in terms of the effect, and is configured to allow the user to be trained through a predetermined tool for other situations There is also a problem that can not cope at all.

Korean Patent Laid-Open Publication No. 10-2004-0052822 discloses a "conversation learning system and a conversation learning method using Avatar" in order to solve these conventional techniques.

The conversational learning system disclosed in the published patent can be generated in real life online by combining the additional contents such as pictures, voices, explanations, words, etc. by directly decorating a two-dimensional space using a user's avatar through a network. The situation was set in advance so that the dictionary could be created according to the situation and the conversation could be learned through the contents created.

However, the above-described published patent application has a problem that the use space is limited according to the use of the wired network, and the situation is set by the learner as well as the repeated learning in accordance with the written dictionary is still creative conversation learning is made There was a problem that could not be supported.

The present invention has been proposed to solve such a conventional problem, and guarantees high mobility by using a mobile communication terminal, and takes a conversational method of answering a conversation when the user speaks in various situations set by the system. The goal is to maximize creativity and ensure high learning achievement.

As an aspect of the present invention for achieving the above object, a conversation learning system using a mobile communication terminal is a conversation learning system that provides a conversation learning service to a conversation learner using a mobile communication network. A mobile communication terminal that transmits a voice for a conversation to a mobile communication network, and outputs conversational context information and a voice received through the mobile communication network, a speech recognition engine that recognizes a voice for conversational learning input through the mobile communication terminal, and conversation learning For the service, the learning material DB that stores the expected conversation contents between the conversation learner and the system for each situation, and the speech recognition engine recognizes the voice transmitted through the mobile communication terminal and provides identifiable data. Extract the material, and transfer the extracted answer material It includes learning conversation server that transmits voice to the terminal.

As another aspect of the present invention, a conversational learning method using a mobile communication terminal comprises a learning material DB in which expected conversational content between conversational learners and systems is stored for various situations in order to provide a conversational learning service to a conversational learner using a mobile communication network. A conversational learning method, comprising: recognizing and receiving a speech for conversational learning input by a conversational learner into a mobile communication network; extracting answer data for the recognized conversational learning voice from a learning material DB; And transmitting the voice corresponding to the material to the conversation learner through the mobile communication network and outputting the voice through the mobile communication terminal.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. In describing the present invention, when it is determined that the detailed description of the related well-known configuration or function may obscure the gist of the present invention, the detailed description thereof will be omitted.

1 is a block diagram of a conversational learning system using a mobile communication terminal according to the present invention.

Conversation learning system of the present embodiment, the mobile communication terminal 110, wireless access network 120, mobile switching center 130, home location register 140, speech recognition engine 150, conversation learning server 160, learning material DB 171, member DB 173, avatar DB 175, billing DB 177, and the like.

The mobile communication terminal 110 is a terminal capable of voice communication and data communication with the other party through a mobile communication network, and generates a corresponding call when a user inputs a phone number for a voice call. In addition, during conversation learning according to the present invention, the conversation situation information received from the conversation learning server 160 is output through text, voice, screen, and the like, and voice recognition for speech learning inputted to the mobile communication terminal 110 is performed. To the engine 150.

The radio access network 120 serves to guarantee the mobility of the mobile communication terminal 110 and performs handover and radio support management functions. The radio access network 120 includes a base station transmitter 121 and a base station controller 123 and supports both synchronous and asynchronous. In this case, the base station transmitter 121 will be a base transceiver station (BTS), the base station controller 123 will be a base station controller (BSC), and in the case of asynchronous, the base station transmitter 121 is a radio transceiver subsystem (RTS). The base station controller 123 may be a radio network controller (RNC). Of course, the wireless access network 120 is not limited thereto, and may include a GSM network other than a CDMA network and an access network of a fourth generation mobile communication system to be implemented in the future.

The base station transmitter 121 receives a call request signal from the originating mobile communication terminal 110 through a traffic channel of the signal channel, and transmits the received call request signal to the base station controller 123. In addition, the base station transmitter 121 is a network endpoint device that is directly connected to the mobile communication terminal 110 by performing baseband signal processing, wired and wireless conversion, and transmission and reception of a wireless signal.

The base station controller 123 controls the base station transmitter 121, assigns and releases radio channels to the mobile communication terminal 110, controls transmission output of the mobile communication terminal 110 and the base station transmitter 121, and inter-cell soft handover. And determining hard handover, transcoding and vocoding, global positioning system (GPS) clock distribution, and operation and maintenance functions for the base station. The base station controller 123 transmits the call request signal received through the base station transmitter 121 to the mobile switching center 130.

The mobile switching center 130 performs basic and additional service processing, incoming and outgoing call processing of a subscriber, location registration and handover procedures of the mobile communication terminal 110, and interworking with other networks. The mobile switching center 130 may include an access switching subsystem (ASS) that performs distributed call processing, an INS (interconnection network subsystem) that performs centralized call processing, and central control of centralization of operation and maintenance. Subsystem), and a Subsystem such as a Location Registration Subsystem (RLS) that performs a function of storing and managing information on a mobile subscriber.

The home location register 140 receives the location information of the incoming mobile communication terminal 110 and performs functions such as registration recognition, registration deletion, and location checking. In addition, the home location register 140 stores profile information of the originating and terminating mobile communication terminal 110. Here, the profile information refers to MIN, ESN, subscribed mobile communication service information, call forwarding service setting information, conversation learning service information, and the like of the mobile communication terminal 110.

The speech recognition engine 150 recognizes the voice received from the mobile communication terminal 110 when providing the conversation learning service according to the present invention and provides the speech recognition data as data that the conversation learning server 160 can recognize.

The learning material DB 171 stores expected conversation contents between the user of the mobile communication terminal 110 and the system for various situations for the conversation learning service, and the member DB 173 stores information of a user who subscribed to the conversation learning service. The avatar DB 175 stores character information of avatars that will interact with the conversation learner in a virtual space, and the billing DB 177 stores billing data generated by providing a conversation learning service.

When the conversation learning server 160 requests a conversation learning service from the mobile communication terminal 110, the member DB 173 is searched to authenticate the membership, and the avatar DB 175 is searched to provide character information of various avatars. It requests a selection and provides a conversation learning service corresponding to the character information of the avatar selected by the conversation learner. If the speech recognition engine 150 recognizes the voice transmitted through the mobile communication terminal 110 and provides the identifiable data, the conversation learning service searches the learning material DB 171 to extract the answer material, and extracts the extracted answer material. It transmits by voice, and stores the billing data generated by counting the usage time of the conversation learning service in the billing DB (177).

The conversational learning service process provided through the conversational learning system using the mobile communication terminal configured as described above will be described with reference to FIGS. 1 and 2.

First, a subscriber who wants to receive a conversational learning service joins as a member as in the subscription procedure of other supplementary services. Accordingly, member information is stored in the member DB 173. In addition, for the conversation learning service of the present invention, the expected conversation contents between the user and the system of the mobile communication terminal 110 are stored in the learning material DB 171 for each situation, and the avatar DB 175 communicates with the conversation learner in a virtual space. Character information of avatars to be addressed is stored.

When the user of the mobile communication terminal 110 selects a conversation learning menu by operating a preset menu button, the corresponding signal is transmitted to the conversation learning server 160 through the wireless access network 120 and the mobile switching center 130, and the conversation learning. The server 160 searches for the member DB 173 and authenticates the membership, and then searches the avatar DB 175 to provide character information of various avatars to request selection.

When the user of the mobile communication terminal 110, that is, the conversation learner selects a specific avatar from among the various avatars, the conversation learning server 160 may display conversational learning situation information to be performed between the conversation learner and the avatar, among text data, voice data, and screen data. In any one form, the mobile communication terminal 110 outputs the received learning situation information to the outside.

Thereafter, the conversation learning server 160 retrieves the learning material data corresponding to the learning situation by searching the learning material DB 171, and transmits the extracted specific conversation contents by voice through the mobile communication terminal 110.

Then, the conversation learner listens to the conversational voice reproduced through the mobile communication terminal 110 and inputs an answer voice as he or she wishes to continue the conversation with the avatar. Then, the speech recognition engine 150 recognizes the speech of the conversation learner's answer and provides the conversation learning server 160 in a form recognizable, and the conversation learning server 160 searches the learning material DB 171 again to provide a conversation learner. Extract the data with the highest agreement with the voice spoken. That is, by comparing a large number of sentence data stored in the learning data DB (171) and the answer voice of the conversational learner, the most similar sentence data is extracted by comprehensively considering the correspondence of words and the proximity of arrangement positions.

When the similar sentence data is extracted, the sentence data of the next set connection set corresponding to the sentence data is determined and extracted as the answer data, and the voice of the extracted answer data is transmitted to the mobile communication terminal 110 through the mobile switching center 130. Send it to the outside for output.

In this way, the process of speech input of the conversation learner, speech recognition of the system, extraction of similar sentence data, determination and extraction of answer data, and transmission of the extracted answer data voice are repeatedly performed to converse between the conversation learner and the avatar.

In addition, the conversation learning server 160 performs a charging process corresponding to the counted conversation learning time between the conversation learner and the system to generate billing data, and stores the billing data in the billing DB 177.

The above description is merely illustrative of the present invention, and it is obvious that the techniques of the present invention can be easily modified and implemented by those skilled in the art. Such modified embodiments should be construed as naturally included in the technical spirit described in the claims of the present invention.

As described above, since the present invention uses a mobile communication terminal for conversational learning, it guarantees high mobility and maximizes the creativity of conversational learning by taking a conversational way in which the system answers when the user speaks in various situations set by the system. High learning achievement is effective.

Claims (8)

As a conversation learning system that provides a conversation learning service to a conversation learner using a mobile communication network, A mobile communication terminal which transmits a voice for conversation learning input by the conversation learner to the mobile communication network, and outputs conversation situation information and voice received through the mobile communication network; A speech recognition engine for recognizing a voice for the conversation learning inputted through the mobile communication terminal; A learning material DB for storing expected conversation contents between the conversation learner and the system for each situation for the conversation learning service; When the speech recognition engine recognizes the voice transmitted through the mobile communication terminal and provides identifiable data, the learning data DB is searched to extract the answer data, and the extracted answer data is transmitted to the mobile communication terminal as voice. Conversational learning server Conversation learning system using a mobile communication terminal comprising a. The method of claim 1, The learning system may include an avatar DB for storing character information of avatars to be in dialogue with the conversation learner in a virtual space. More, When the conversation learning server requests the conversation learning service from the mobile communication terminal, the conversation learning server searches for the avatar DB, provides character information of various avatars, requests a selection, and corresponds to character information of the avatar selected by the conversation learner. To provide the conversational learning service Conversation learning system using a mobile communication terminal characterized in that. The method of claim 1, The learning system, the billing DB for storing the billing data generated by counting the use time of the conversation learning service Conversation learning system using a mobile communication terminal further comprising. The method of claim 1, When the conversation learning server is provided in a form in which the speech of the conversation learner is recognizable, the conversation learning server searches the learning material DB to extract similar sentence data having the highest agreement with the speech of the conversation learner, and when the similar sentence data is extracted, Determining and extracting sentence data of the next sequence that is connected to the sentence data as answer data, and transmitting a voice of the extracted answer data to the mobile communication terminal; Conversation learning system using a mobile communication terminal characterized in that. In order to provide a conversation learning service to a conversation learner using a mobile communication network, a conversation learning method using a learning material DB in which expected conversation contents between the conversation learner and the system are stored for each situation. Receiving and recognizing a voice for conversation learning input by the conversation learner to the mobile communication network; Extracting the answer material for the recognized conversational learning voice from the learning material DB; Transmitting a voice corresponding to the extracted answer data to the conversation learner through the mobile communication network and outputting a voice through a mobile communication terminal; Conversation learning method using a mobile communication terminal comprising a. The method of claim 5, In the learning method, when the conversation learning service is requested from the mobile communication terminal, character information of various available avatars is provided to request a selection, and the conversation learning service corresponding to the character information of the avatar selected by the conversation learner is requested. To offer Conversation learning method using a mobile communication terminal characterized in that. The method of claim 5, The learning method is to generate billing data by counting the usage time of the conversation learning service. Conversation learning method using a mobile communication terminal characterized in that. The method of claim 5, The conversation learning method may search the learning material DB to extract similar sentence data having the highest agreement with the input voice of the conversation learner, and use sentence data of the next sequence connected to correspond to the similar sentence data as the answer material. To decide Conversation learning method using a mobile communication terminal characterized in that.

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