KR20240033423A - System and Method for Providing speaking practice solution of foreign language - Google Patents

Abstract

The present invention relates to a system and method for providing a foreign language speech training solution that receives foreign language learning content from a plurality of native speaker instructors, and includes a native speaker information input unit that constructs a native speaker database by inputting the age, gender, and voice sample data of at least one native speaker; The foreign language learner's age, gender, and voice sample data are matched to the learner information entered through the learner information input section and the native speaker database built from the native speaker information input section, and at least one native speaker is selected in the order of the highest information match rate. A system for providing a foreign language speech training solution, including a matching unit that recommends and a content provider that provides speech training learning content with the selected native speaker when a selection signal for one of the native speakers recommended by the matching unit is input from the learner terminal. A foreign language speech training solution providing system and driving method that minimizes the phonetic difference between the learner and native speaker video data and maximizes the synchronization rate to reach the level of speaking English with fluent pronunciation, intonation, and vocalization approaching that of a native speaker. The effect provided is derived.

Description

{System and Method for Providing speaking practice solution of foreign language}

The present invention relates to a system and method for providing a foreign language pronunciation training solution, and more specifically, to a system and method for providing a foreign language pronunciation training solution in which foreign language learning content is provided from a plurality of native speaking instructors.

In general, the importance of learning foreign languages is increasing, and due to this importance, many people are devoting a lot of time and effort to learning foreign languages. Accordingly, various online and offline foreign language courses are being offered.

Among the various areas of foreign language learning, in the case of grammar and vocabulary learning, it is easy to understand the exact meaning and structural differences between the native language and the foreign language through written books, but in the case of pronunciation learning, which is one of the most basic means of communication, learning If certain pronunciations of a foreign language do not exist in your native language, it is difficult to accurately imitate them. Additionally, in the case of English, there are differences in the way certain phonemes are pronounced in each country where English is the native language, and there are also differences in the rules for sounding letters (phonics), so the documented learning materials are not written in the English pronunciation of any country. The content may differ depending on how it was written and described.

Even if English is your native language, if you learn it without accurately understanding the differences in pronunciation in each country and the differences in dialects and accents unique to your region of origin, you may have difficulty conveying and understanding accurate information during conversations. For this reason, in the case of learning English pronunciation, it is important to double the learning efficiency by learning accurate standard English pronunciation, such as North American or British pronunciation, which are most frequently used throughout the world, from the early stage of learning. In order to form accurate foreign language input and output skills, a huge amount of money is being spent through English kindergartens, English academies, and at-home 1:1 phonics learning.

In addition, correction of pronunciation or pronunciation is generally done through 1:1 instruction with a foreign instructor, but in this case, there is a problem in that it costs a lot of money to learn English, and since the training is provided at a specially designated time, it is not suitable for office workers, etc. For people who lead busy daily lives, participation in learning is extremely limited.

In order to meet these demands, language learning devices equipped with various language learning programs using voice recognition or voice waveform analysis are being developed and distributed. The English pronunciation evaluation method of the language learning device described above is based on a pronunciation comparison method using voice signal processing technology, which involves recognizing the learner's pronunciation using a Hidden Markov Model (hereinafter referred to as HMM), This is done using programs that compare the voice of a native speaker and report the results.

However, existing English speaking learning services run through PCs and smart devices provide one-sided and random videos such as animations, unnatural AI voices, and dubbed voices without any consideration of the learner's linguistic characteristics, thereby affecting the learner's English proficiency. It is difficult to synchronize with native speakers through imitation learning. The most efficient method of acquiring English proficiency in Korea is the imitation method (shadowing), which involves watching videos of native speakers and imitating them in real time. However, when imitating sounds that are different from the characteristics of the learner's own phonetic elements, the synchronization rate is very low. . In other words, it can be said that it is difficult to accurately imitate and embody elements such as accurate detailed pronunciation, vocalization, intonation, and stress, and its accuracy and efficiency are low.

Domestic Patent Publication No. 10-2012-0040174

The present invention was derived from this technical background. In imitation training using native speaker videos, it recommends and trains native speaker mentors with phonetic values similar to the learner's phonetic conditions, thereby minimizing and synchronizing phonetic differences between the learner and native speaker video data. The purpose is to provide a foreign language pronunciation training solution provision system and method of operation that maximizes the rate and reaches a level of speaking English with fluent pronunciation, intonation, and vocalization that is close to that of a native speaker.

In addition, we aim to provide a system for providing a foreign language pronunciation training solution and its operation method that can provide more effective motivation for imitation learning by allowing learners to directly select and train native speakers.

In addition, a foreign language speech training solution providing system that provides learning services such as strengthening learning training content in Broca's area of the brain and intensive strengthening training of motor areas through direct strengthening training of surrounding muscles and oral muscles involved in English speech and pronunciation. The purpose is to provide and a driving method thereof.

The present invention for achieving the above problems includes the following configuration.

That is, the system for providing a foreign language speech training solution according to an embodiment of the present invention includes a native speaker information input unit that constructs a native speaker database by receiving the age, gender, and voice sample data of at least one native speaker, and the foreign language learner's age, gender, and voice sample data. From the learner information input unit and the native speaker database constructed from the native speaker information input unit, the matching unit selects and recommends at least one native speaker in the order of the information match rate by matching the learner information input to the learner information input unit, and the learner terminal. When a signal to select one of the native speakers recommended by the matching unit is input, it includes a content providing unit that provides speech training learning content with the selected native speaker.

Meanwhile, the method of providing a foreign language speech training solution includes a native speaker information input step of building a native speaker database by receiving the age, gender, and voice sample data of at least one native speaker, and inputting the learner information by receiving the foreign language learner's age, gender, and voice sample data. A matching step of selecting and recommending at least one native speaker in the order of the information matching rate by matching the native speaker database constructed in the native speaker information input step with the learner information inputted in the learner information input step, and matching from the learner terminal. When a selection signal for one of the native speakers recommended by the department is input, it includes a content provision step of providing speech training learning content for the selected native speaker.

According to the present invention, when performing imitation training through native speaker videos, a native speaker mentor with voice values similar to the learner's phonetic conditions is recommended and trained to minimize the phonetic difference between the learner and native speaker video data and maximize the synchronization rate to approach the native speaker. The effect of providing a foreign language speech training solution providing system and its operation method to reach the level of speaking English with fluent pronunciation, intonation, and vocalization is derived.

In addition, it is possible to provide a system for providing a foreign language pronunciation training solution and its operation method that can provide more effective motivation for imitation learning by allowing learners to directly select and train native speakers.

In addition, a foreign language speech training solution providing system that provides learning services such as strengthening learning training content in Broca's area of the brain and intensive strengthening training of motor areas through direct strengthening training of surrounding muscles and oral muscles involved in English speech and pronunciation. and its driving method.

Figure 1 is a block diagram showing the configuration of a system for providing a foreign language speech training solution according to an embodiment of the present invention.
Figure 2 is an example of a screen for entering gender and age of a native speaker group on a web page or application providing a foreign language pronunciation training service according to an embodiment.
Figure 3 is an example of a learner's gender and age input screen on a web page or application providing a foreign language speech training service according to an embodiment.
Figure 4 is an example radar chart for explaining the voice analysis function of the voice analysis unit according to an embodiment of the present invention.
Figure 5 is an example of a native speaker matching result screen on a web page or application providing a foreign language speech training service according to an embodiment of the present invention.
Figure 6 is a flowchart of a method for providing a foreign language speech training solution according to an embodiment of the present invention.

It should be noted that the technical terms used in the present invention are only used to describe specific embodiments and are not intended to limit the present invention. In addition, the technical terms used in the present invention, unless specifically defined in a different sense in the present invention, should be interpreted as meanings generally understood by those skilled in the art in the technical field to which the present invention pertains, and are not overly comprehensive. It should not be interpreted in a literal or excessively reduced sense.

Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the attached drawings.

Figure 1 is a block diagram showing the configuration of a system for providing a foreign language speech training solution according to an embodiment of the present invention.

A system for providing a foreign language speech training solution according to an embodiment of the present invention provides a speech simulator that provides specialized speaking training content based on video data of a native speaker instructor. In addition, there is a customized mentoring function for learners to learn the linguistic characteristics of the mentor through real-life video shadowing of the learner's facial expressions and gestures, a mentor matching function according to each other's age and gender, and a function for different voice/pronunciation/speech/expression/movement. It includes a speech recognition module that learns the linguistic characteristics of native speakers and has a function to minimize speech information loss through simultaneous listening and speech (overlapping).

In particular, it provides strengthening learning training content for the Broca's area of the brain, known as the motor language area, and provides learning services such as intensive strengthening training for motor areas through direct strengthening training of surrounding muscles and oral muscles involved in English speech and pronunciation. there is.

In other words, the system 10 for providing a foreign language speech training solution tailored to the learner's voice receives input of the gender/age of the native speaker instructor group and inputs the gender/age of the learner.

Then, native speaker voice data generated by recording the learning content video of a native speaker instructor is stored, and learner voice data generated by recording the learner's speech data is received.

In addition, by comparing the learner's voice elements obtained by analyzing the learner's voice data and the voice elements of the video data control group of 100 male and female native speaker instructors, a native speaker video recommendation group that is closest to the learner's voice element value can be output.

As shown in Figure 1, the foreign language speech training solution providing system 10 according to an embodiment includes a communication unit 110, a native speaker information input unit 120, a learner information input unit 130, a matching unit 140, and a content provision unit 150. , includes a voice analysis unit 145, an evaluation unit 160, and a storage unit 170.

The communication unit 110 communicates with any internal component or at least one external terminal through a wired/wireless communication network. Here, wireless Internet technologies include Wireless LAN (WLAN), DLNA (Digital Living Network Alliance), Wibro (Wireless Broadband: Wibro), Wimax (World Interoperability for Microwave Access: Wimax), and HSDPA (High Speed Downlink Packet Access). ), HSUPA (High Speed Uplink Packet Access), IEEE 802.16, Long Term Evolution (LTE), LTE-A (Long Term Evolution-Advanced), Wireless Mobile Broadband Service (WMBS), etc. The communication unit 110 transmits and receives data according to at least one wireless Internet technology, including Internet technologies not listed above.

In addition, short-range communication technologies include Bluetooth, RFID (Radio Frequency Identification), Infrared Data Association (IrDA), UWB (Ultra Wideband), ZigBee, and Near Field Communication (NFC). , Ultrasound Communication (USC), Visible Light Communication (VLC), Wi-Fi, Wi-Fi Direct, etc. may be included. Additionally, wired communication technologies may include Power Line Communication (PLC), USB communication, Ethernet, serial communication, optical/coaxial cables, etc.

At least one external terminal may be a native speaker terminal 20 or a learner terminal 30.

The native speaker terminal 20 and the learner terminal 30 are terminals that can access a remote server or terminal through a network and may be wireless communication devices that ensure portability and mobility. Alternatively, it may be implemented as a computer that can access a remote server or terminal through a network. Here, the computer may include, for example, a laptop, desktop, laptop, etc. equipped with a web browser.

The native speaker terminal 20 and the learner terminal 30 are a smart phone, a portable terminal, a mobile terminal, a foldable terminal, and a personal digital assistant (PDA). ), PMP (Portable Multimedia Player) terminal, telematics terminal, navigation terminal, personal computer, laptop computer, Slate PC, Tablet PC, ultrabook ), wearable devices (e.g., including watch type terminal (Smartwatch), glass type terminal (Smart Glass), HMD (Head Mounted Display), etc.), Wibro terminal, IPTV (Internet Protocol Television) terminal , can be applied to various terminals such as smart TVs, digital broadcasting terminals, AVN (Audio Video Navigation) terminals, A/V (Audio/Video) systems, flexible terminals, and digital signage devices.

In one embodiment, the native speaker terminal 20 is a terminal owned by a native speaker who can act as an instructor through a foreign language speech training program, app, or web page provided by the foreign language pronunciation training solution providing system according to one embodiment, and is a terminal owned by a learner. The terminal 30 is a terminal owned by a learner who wants to learn a foreign language through a foreign language speech training program, app, or web page provided by the foreign language pronunciation training solution provision system according to an embodiment. Although the technical configuration is the same, the terminal 30 is used for understanding the invention. To help, it is explained separately.

The native speaker terminal 20 and the learner terminal 30 each include a communication unit (not shown) for performing communication functions with other terminals, a storage unit (not shown) for storing various information and programs (or applications), and various A display unit (not shown) for displaying information and program execution results, an audio output unit (not shown) for outputting audio information corresponding to the various information and program execution results, and controlling various components and functions of each terminal. It may include a control unit (not shown), etc.

The native speaker information input unit 120 receives the native speaker's age, gender, and voice sample data from at least one native speaker terminal 20 and constructs a native speaker database. In one embodiment, the native speaker information input unit 120 receives gender and age information for each native speaker from the native speaker terminal 20. Additionally, learning content recorded from a native speaker's video can be received from the native speaker terminal 20.

The native speaker information input unit 120 can receive information for building a native speaker database when a native speaker registers as a mentor member on the administrator web page.

Figure 2 is an example of a screen for entering gender and age of a native speaker group on a web page or application providing a foreign language pronunciation training service according to an embodiment.

Native speaker information can be modified by an administrator or by a native speaker directly on the native speaker terminal 20.

The learner information input unit 130 receives the foreign language learner's age, gender, and voice sample data from the learner terminal 30. In one embodiment, the learner information input unit 130 may receive the learner's gender and age information from the learner terminal 30 on the administrator web page and generate an ID according to a member registration request. And the learner information input unit 130 matches and stores the learner's gender and age information along with the learner ID.

Additionally, the learner information input unit 130 receives the learner's voice sample data. The learner's voice sample data can be input by providing a certain text sentence when registering as a member and having the learner speak the sentence.

Figure 3 is an example of a learner's gender and age input screen on a web page or application providing a foreign language speech training service according to an embodiment.

The learner may create or edit the learner's personal information through the information modification menu when registering or registering as a member on a web page or application providing a foreign language pronunciation training service according to an embodiment. At this time, information about the academy or organization to which the learner belongs that provides foreign language pronunciation training services can be entered.

The matching unit 140 matches the native speaker database built in the native speaker information input unit 120 with the learner information input to the learner information input unit 130, and selects and recommends at least one native speaker in order of the highest information match rate.

In one embodiment, the matching unit 140 first receives category information such as the learning level or topic of the learning content from the learner terminal 30, and matches at least one of the native speakers who uploaded the learning content corresponding to the category. Select native speakers. For example, depending on the learner's learning level or desired learning topic, you can initially form a native speaker group that uploads learning content corresponding to that learning level or learning topic, and select native speakers who match the learner's information from the formed native speaker group. there is.

In a characteristic aspect of the present invention, the matching unit 140 analyzes voice sample data input to the learner information input unit 130 to extract voice elements, and extracts voice elements from the voice sample data input to the native speaker information input unit 120. It includes a voice analysis unit 145 that compares the control voice elements.

Figure 4 is an example radar chart for explaining the voice analysis function of the voice analysis unit according to an embodiment of the present invention.

As shown in FIG. 4, the voice analysis unit 145 according to one embodiment calculates voice frequency (pitch) value, voice volume (volume) value, voice intensity (pressure) value, and tone (tone) from voice sample data of native speakers and learners. and voice elements for tempo are extracted and compared.

The voice frequency (pitch) value is the pitch of the sound and is a value related to the frequency or vocal cord vibration. On average, men have a value of 100 to 150 Hz and women have a value of 200 to 250 Hz.

And the voice volume value is the volume of the sound and is usually between 20 and 120 dB (decibel). The pressure value of sound is a value related to the intensity of sound, that is, sound pressure, and is generally between 1/1,000 Pa and 1 Pascal (Pascal).

Tone is a value that can express the texture depending on the presence or absence of vocal cord grounding, and can be expressed as the sum of the reference tone and overtone (n times the reference tone) or as a function of dB and Hz. Tempo is a value that indicates the speed of speech and is the number of words or phonemes uttered per second. Typically there may be between 1 and 6.

The voice analysis unit 145 can graphically represent the learner's voice sample data on a radar chart with the values of each element, as shown in FIG. 2 . That is, the voice analysis unit 145 can receive the learner's voice sample data, extract the value of each element, and extract the native speaker's voice data having a data shape close to the data shape of the radar chart derived through analysis.

That is, the voice analysis unit 145 selects the data figures displayed on the radar chart as a result of an element-by-element analysis of the learner's voice sample data among the data shapes displayed on the radar chart as a result of an element-by-element analysis of each native speaker's voice sample data. Extract data figures from native speakers with high agreement.

When a signal to select one of the native speakers recommended by the matching unit 140 is input from the learner terminal 30, the content provider 150 provides speech training learning content with the selected native speaker.

The content provider 150 can improve English imitation accuracy by providing content that can be learned in a specific person's tone that matches the learner's tone. The content provider 150 may provide content that moves to the next sentence when the number of times the learner learns simultaneous speech for a sentence pronounced by a specific native speaker reaches a set value. In other words, when a native speaker with a similar tone of voice to the learner outputs a foreign language sentence, it provides the type of content that the learner can utter along with or at the same time as the native speaker.

Figure 5 is an example of a native speaker matching result screen on a web page or application providing a foreign language speech training service according to an embodiment of the present invention.

As shown in Figure 5, the matching unit 140 may select and recommend at least one native speaker with a high degree of agreement between the learner's voice data and the matching result from the entire native speaker group. Then, a selection signal for one of the selected at least one native speakers is input.

In other words, through matching with a native speaker mentor of similar age and gender to each other, learners can learn the linguistic characteristics of native speakers that differ in voice/pronunciation/word slang/facial expression/movement.

The content provider 150 provides strengthening learning training content for Broca's area of the brain, known as the motor language area, and provides intensive strengthening training for motor areas through direct strengthening training of surrounding muscles and oral muscles involved in English speech and pronunciation. Provides learning services.

Additionally, the foreign language pronunciation training solution providing system 10 according to one embodiment may form a communication channel with a native speaker selected through a foreign language pronunciation training service providing webpage or application. It can be implemented to open a 1:1 chat learning room or set a real-time video call connection schedule. Learning efficiency can be increased as learners can easily ask questions to matched native speakers or supplement their shortcomings.

In an additional aspect of the present invention, the matching unit 140 may select a native speaker instructor by further reflecting additional information input by the learner.

For example, when selecting a native speaker instructor suitable for a learner, settings for pronunciation or other factors can be input directly from the learner and further reflected to select a native speaker who matches the learner.

Furthermore, it is also possible to present at least one item that becomes a native speaker matching element from the learner and assign weights in the order of elements that the learner considers important, so that a matching native speaker can be selected according to the weight set by the learner.

Each learner can set and enter whether to give priority to criteria such as gender or age, or to pronunciation similarity. Among pronunciation similarities, which factor should be given more weight to select a native speaker with high similarity, especially among the voice frequency (pitch) value, voice volume (voice volume), voice intensity (pressure), tone, and tempo? Learners can set it themselves.

In one aspect of the present invention, the evaluation unit 160 provides speech training learning content with a selected native speaker provided by the content provider 150, receives speech data from the learner, and compares it with the native speaker's speech data to determine the degree of agreement. Evaluates the degree and provides evaluation results. Specifically, the similarity (%), number of repetitions, and evaluation points can be calculated during utterance and the results can be provided.

Accordingly, overlapping training is possible by performing viewing, listening, speaking, judging, and monitoring simultaneously, thereby improving learning efficiency.

In other words, by allowing the learner to listen and simultaneously speak (overlapping) through the learning content of a native speaker, the learner's speech ability can be efficiently evaluated by including a speech recognition module with a function to minimize speech information loss.

Accordingly, an algorithm that activates English speaking ability can be realized through strengthening training of Broca's area, which is responsible for language production and speaking ability, and direct strengthening training of the vocal cords and surrounding muscles involved in vocalization. In other words, by minimizing the gap in speaking skills between learners and native speakers and maximizing the agreement rate, learning efficiency can be maximized with a customized solution.

Figure 6 is a flowchart of a method for providing a foreign language speech training solution according to an embodiment of the present invention.

A method of providing a foreign language speech training solution according to an embodiment first constructs a native speaker database by inputting the age, gender, and voice sample data of at least one native speaker (S600).

In one embodiment, gender and age information is input for each native speaker from the native speaker terminal. Additionally, you can receive additional learning content recorded from a native speaker's video from the native speaker's terminal.

In the native speaker information input step, when a native speaker registers as a mentor member on the administrator web page, information for building a native speaker database can be entered.

Then, the foreign language learner's age, gender, and voice sample data are input (S610).

In one embodiment, the learner's gender and age information can be input from the learner's terminal in the learner information input step manager web page, and an ID can be generated according to the member registration request. Then, the learner's gender and age information are matched and stored together with the created learner ID.

Additionally, the learner's voice sample data is input. The learner's voice sample data can be input by providing a certain text sentence when registering as a member and having the learner speak the sentence.

Then, voice elements are extracted by analyzing the voice sample data input in the learner information input step, and control voice elements extracted from the voice sample data input in the native speaker information input step are compared and analyzed (S620).

In the voice analysis step, the learner's voice sample data can be graphicized on a radar chart with the values of each element, as shown in Figure 2. In other words, the voice analysis step can receive the learner's voice sample data, extract the value of each element, and extract native speaker's voice data that has a data shape close to the data shape of the radar chart derived through analysis.

The voice analysis stage is the result of an element-by-element analysis of each native speaker's voice sample data. Among the data shapes displayed on the radar chart, the learner's voice sample data is analyzed by element, and a native speaker with a high degree of agreement with the data shape displayed on the radar chart is selected. Extract the data shape.

In one aspect of the present invention, the analysis step includes voice elements for voice frequency (pitch), voice volume (volume), voice intensity (pressure), timbre (tone), and tempo from voice sample data. Extract, compare and analyze.

Afterwards, the native speaker database constructed in the native speaker information input step is matched with the learner information entered in the learner information input step, and at least one native speaker is selected and recommended in order of the information matching rate (S630).

At this time, the matching step first receives category information such as the learning level or topic of the learning content from the learner terminal, and selects at least one native speaker among the native speakers who uploaded the learning content corresponding to the category. For example, depending on the learner's learning level or desired learning topic, you can initially form a native speaker group that uploads learning content corresponding to that learning level or learning topic, and select native speakers who match the learner's information from the formed native speaker group. there is.

And when a selection signal for one of the native speakers recommended in the matching step is input from the learner terminal (S640), speech training learning content for the selected native speaker is provided (S650).

In other words, through matching with a native speaker mentor of similar age and gender to each other, learners can learn the linguistic characteristics of native speakers that differ in voice/pronunciation/word slang/facial expression/movement.

The content provision stage provides strengthening learning training content in Broca's area of the brain, known as the motor language area, and provides learning services such as intensive strengthening training in motor areas through direct strengthening training of surrounding muscles and oral muscles involved in English speech and pronunciation. to provide.

Afterwards, the learning content for speech training with the selected native speaker provided in the content provision step is provided, speech data is received from the learner, compared with the native speaker's speech data, the degree of agreement is evaluated, and an evaluation result is provided (S660).

Accordingly, overlapping training is possible by performing viewing, listening, speaking, judging, and monitoring simultaneously, thereby improving learning efficiency.

In other words, by allowing the learner to listen and simultaneously speak (overlapping) through the learning content of a native speaker, the learner's speech ability can be efficiently evaluated by including a speech recognition module with a function to minimize speech information loss.

The above-described method may be implemented as an application or in the form of program instructions that can be executed through various computer components and recorded on a computer-readable recording medium. The computer-readable recording medium may include program instructions, data files, data structures, etc., singly or in combination.

The program instructions recorded on the computer-readable recording medium may be those specifically designed and configured for the present invention, or may be known and usable by those skilled in the computer software field.

Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical recording media such as CD-ROMs and DVDs, and magneto-optical media such as floptical disks. media), and hardware devices specifically configured to store and perform program instructions, such as ROM, RAM, flash memory, etc.

Examples of program instructions include not only machine language code such as that created by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like. The hardware device may be configured to operate as one or more software modules to perform processing according to the invention and vice versa.

Although the above has been described with reference to embodiments, those skilled in the art will understand that various modifications and changes can be made to the present invention without departing from the spirit and scope of the present invention as set forth in the following patent claims. You will be able to.

10: System 20: Native speaker terminal
30: Learner terminal 110: Communication department
120: native speaker information input unit 130: learner information input unit
140: Matching unit 150: Content provision unit
145: Voice analysis unit 160: Evaluation unit
180: storage unit

Claims (8)

Native speaker information input unit that constructs a native speaker database by inputting the age, gender, and voice sample data of at least one native speaker
A learner information input unit that receives the foreign language learner's age, gender, and voice sample data;
a matching unit that selects and recommends at least one native speaker in the order of the highest information matching rate by matching the learner information inputted through the learner information input section from the native speaker database built in the native speaker information input section; and
When a selection signal for one of the native speakers recommended by the matching unit is input from the learner terminal, a content providing unit that provides speech training learning content with the selected native speaker; a foreign language speech training solution providing system comprising a.
According to claim 1,
The matching unit,
A system for providing a foreign language speech training solution, comprising a voice analysis unit that analyzes voice sample data input to the learner information input unit to extract voice elements, and compares control voice elements extracted from the voice sample data input to the native speaker information input unit. .
According to claim 2,
The voice analysis unit,
A system that provides a foreign language speech training solution that extracts and compares voice elements for voice frequency (pitch), voice volume (volume), voice intensity (pressure), tone, and tempo from voice sample data. .
According to claim 1,
An evaluation unit that provides speech training learning content with the selected native speaker provided by the content provider, receives speech data from the learner, compares it with the speech data of the native speaker, evaluates the degree of agreement, and provides an evaluation result; further comprising; , a system that provides foreign language speaking training solutions.
A native speaker information input step of constructing a native speaker database by inputting age, gender, and voice sample data of at least one native speaker;
A learner information input step in which the foreign language learner's age, gender, and voice sample data are input;
A matching step of selecting and recommending at least one native speaker in the order of the highest information matching rate by matching the native speaker database constructed in the native speaker information input step with the learner information input in the learner information input step; and
A content providing step of providing speech training learning content of the selected native speaker when a selection signal for one of the native speakers recommended in the matching step is input from the learner terminal.
According to claim 5,
The matching step is,
Foreign language speech training comprising a voice analysis step of extracting voice elements by analyzing the voice sample data input in the learner information input step and comparing control voice elements extracted from the voice sample data input in the native speaker information input step. How to provide solutions.
According to claim 6,
The analysis step is,
A method of providing a foreign language speech training solution that extracts and compares voice elements for voice frequency (pitch), voice volume (volume), voice intensity (pressure), timbre (tone), and tempo from voice sample data. .
According to claim 5,
It further includes an evaluation step of providing speech training learning content with the selected native speaker provided by the content provision step, receiving speech data from the learner, comparing it with the speech data of the native speaker, evaluating the degree of agreement, and providing an evaluation result. How to provide a foreign language speaking training solution.