WO2018190668A1

WO2018190668A1 - Speech intention expression system using physical characteristics of head and neck articulator

Info

Publication number: WO2018190668A1
Application number: PCT/KR2018/004325
Authority: WO
Inventors: 이우기; 심봉섭; 권헌도; 김덕환; 신진호
Original assignee: 인하대학교 산학협력단
Priority date: 2017-04-13
Filing date: 2018-04-13
Publication date: 2018-10-18

Abstract

The present invention comprises: a sensor part for measuring the physical characteristics of an articulator while being adjacent to one surface of a speaker's head and neck; a data analysis part for identifying speech characteristics of the speaker on the basis of the position of the sensor part and the physical characteristics of the articulator; a data conversion part for converting the position of the sensor part and the speech characteristics into language data; and a data expression part for externally expressing the language data, wherein the sensor part comprises a mouth and tongue sensor corresponding to the mouth and tongue.

Description

Speech Intent Representation System Using Physical Characteristics of Head and Neck Articulator

The present invention is to recognize the physical characteristics of the articulation organs of the head and neck, including the oral cavity through the articulation sensor to measure the change according to the overall ignition of the head and neck and grasp the intention to speak through this, visual, auditory, tactile The present invention relates to a system for providing to the speaker himself or the outside and transferring the intention of uttering the image to the head and neck of the robot.

Characters produced in articulatory organs are called speech or verbal sounds for the communication of linguistic information and vocalization in non-verbal cases.

The main organs of the human body involved in the production of the letters are the nervous system and the respiratory system.

The nervous system is involved in the central nervous system and the peripheral nervous system. In the central nervous system, the cranial or cranial cell nuclei are located in the brain stem, and the cerebellum has the function of precisely controlling the muscle control for movement. Play a dominant role in function The cranial nerve involved in speech production includes the fifth cranial nerve involved in jaw movement, the seventh cranial nerve involved in lip movement, the tenth cranial nerve involved in pharynx and larynx, and the eleventh cranial nerve involved in pharyngeal movement. And the 12th nerve involved in the movement of the tongue. Among the peripheral nerves, especially the laryngeal nerves and the recurrent laryngeal nerves branched from the vagus nerve are directly involved in laryngeal movement.

Speech is also produced by the lower respiratory tract, the larynx, and the vocal tract. The vocal cords are the source of letters, and the flow of exhalation from the lungs causes the vocal cords to vibrate, and during vocalization, the aerobic control provides an efficient and efficient supply of sound energy. When the vocal cords are properly tensioned and closed, the vocal cords vibrate due to exhalation, and the gates are opened and closed at regular intervals to control the expiratory streams that pass through the gates.

In order for a person to use a horse for communication, it must go through several physiological processes. The articulation process refers to a process of forming phonemes, which are units of speech sounds, after the sound is amplified and supplemented through the resonance process.

The tongue is the most important articulator, but in fact, the phoneme involves not only the tongue but also various structures of the mouth and face. These articulators include movable structures such as the tongue, lips, soft palate, jaws, and immovable structures such as teeth or hard palates. These articulators block or restrict the flow of air to form consonants and vowels.

It is not easy to distinguish the tongue as the first articulator because its parts do not show distinct boundaries, but in terms of function, it is helpful to understand pathological articulation as well as normal articulation. The tongue can be divided from the front into the apex (tip), the blade (blade), the dorsum, the body of the tongue, and the root of the tongue (root). The tip of the tongue is the part used when we point out the tongue or articulate / d / (such as "Larara"), which is the first sound of the syllable, and the tongue is made from the front of the mouth, such as alveolar sounds. It is mainly used to articulate phonemes, and the tongue is the part of the tongue that is commonly used to articulate back sounds such as velar sounds.

The lips, which are the second articulators, form the mouth of the mouth and play an important role in facial expression and articulation of the head and neck. In particular, the vowels are distinguished by phonemes as well as the movement of the tongue. The bilabial sounds can be pronounced only when the lips are closed. The shape of the lips is modified by the surrounding muscles. For example, the circumference of the mouth around the lips (orbicularis oris muscle) plays an important role in pronounced lip vowels such as head lip consonants and / right / by closing or pinching the lips. Quadratus labii superior muscle and quadrates labii inferior muscle open the lips. In addition, the risorius muscle plays an important role in pulling the corners of the lips and smiling or contracting the lips to produce sounds like /.

Among the jaw and teeth as the third articulator, the jaw is divided into the immobilized upper jaw (maxilla) and the lower jaw (mandible) which moves up and down and left and right. These jaws are the strongest and largest of the facial bones and are driven by four pairs of muscles. The movement of the lower jaw changes the size of the mouth, which is important not only for chewing but also for vowel production.

Among the gums and the hard palate as the fourth articulator, the gum is the area where the / c / or / s / speech sounds are articulated, and the hard palate is the hard and rather flat part of the gums where the sound of the / ㅈ / series is articulated Site.

As the last articulation organ, the Yeongrin Palate is classified as a moving articulator because the muscles of the Yeongrin Palate contract and form a closed lover's head and thus oral sounds.

Articulation

Among the sounds are those which are produced with some obstruction in the oral cavity, or more precisely in the middle of the oral passage, while the air passage through the vocal cords passes through the saints. The former is usually called the consonant vowel.

1) consonant articulation

Consonants should be examined according to how and where they are spoken. Each column represents the articulation position and each line represents the articulation method.

First of all, according to the articulation method, depending on what kind of disturbances are caused by the air flow in the middle, it can be divided into the sound of clogging and the sound of silence. Clogging sound is the sound that completely blocks and blows the airflow in the oral cavity. Clogging sound is the sound of narrowing a part of the saint and passing the airflow through the narrow passage.

The sound of clogging can again be divided into nasal resonances and non-acoustic sounds. At the same time, the nasal stops (nasal stops), which are accompanied by the nasal passages and the nasal passages, are included in the former, and the nasal stops are raised against the pharyngeal wall. The latter are the oral blockage sounds (oral stops) that block and prevent airflow from reaching the nasal passages. Depending on the length and method of occlusion, oral clog sounds are considered to be closed (stop) or ruptured (plosive), electric (trill), and snowballs (or flap / tap). can see.

The mute sound is divided into a fricative (approach) and an approach sound (approximant). When a passage of air flow is formed on the side of the tongue, it is called lateral sound.

In addition, there is a wave sound (affricate) that uses a combination of multi-block and unblocked articulation methods. Finally, it is expressed as "r" or "l" in the alphabet, but it is expressed as / ㄹ / in Korean. (liquid) and not in Korean, but there is an electric tone that vibrates the articulation organs.

When classified according to the position of articulation, bilabial refers to the sound of two lips related to the articulation, and Korean / ㅂ, ㅃ, ッ, ㅁ / and the like belong to this. The Yangpyeon in modern Korean (standard) is a sound that blocks both lips, but it can also narrow the gap between the two lips, rubbing the airflow between them (sheep friction), and dropping both lips (sheep rolling) .

Labiodentals refer to sounds related to articulation of the lower lip and upper teeth, and do not exist in Korean. There is no pure sound in Korean, but [f, v] in English belongs to this pure sound.

Dental (dental) refers to the sound that the airflow narrows or closes at the back of the upper teeth, and is sometimes called interdental because of friction between them.

Alveolar is a sound produced by the constriction or closure of air currents near the upper gums, which belong to the Korean ㄷ, ㄸ, ㅌ, ,, ㅆ, ㅅ /. In Korean, / ㅅ, 는 / are the sounds of airflow constriction in the alveolar area, and / s, z / in English and the airflow constriction are almost similar.

Palatoalveolar, also known as postalveolar, is the sound of the tip of the tongue or forearm touching the posterior neck, not in Korean, but in English or French.

Alveolopalatal is also called prepalatal because it is articulated in front of the palatal or near the alveolar. The three patters of the Korean language, / ㅈ, ㅊ and ㅉ /, belong to this.

Retroflex differs from other tongues where the tip of the tongue or the upper surface of the tongue is articulated by touching or approaching the palate, and the lower surface of the tongue is articulated by touching or approaching the palate.

A palatal sound refers to the sound that the body touches or approaches an oral palatal articulation.

Velar is the sound that the body touches or approaches the research site. Korean closed sound / ㄱ, ㅋ, ㄲ / and nasal / ㅇ / belong to this.

The palatal masturbate (uvular) refers to the sound that the body touches or approaches the palate, the tip of the study palate.

Pharyngeal refers to the sound that the articulation is made in the pharyngeal cavity.

Lastly, the glottal refers to the sound that the vocal cords are used as an articulation organ, and there is only a voiceless vocal friction / ㅎ / as a phoneme in Korean.

2) articulation of vowels

Vowel articulation is the three most important variables, such as the height of the tongue, the position of the front and back, and the shape of the lips.

In the first variable, the opening of the vowel, or the degree of opening of the vowel, is determined by the height of the tongue.The sound of opening the mouth less is called a close vowel, or a high vowel, and the sound of throwing away the mouth greatly. Is called open vowel, or low vowel. The sound between the high vowels and the low vowels is called the mid vowel, which is the close-mid vowel, or half-close vewel, with the mouth open again. It can be subdivided into larger open-mid vewels or half-open vewels.

The second variable, the front and rear position of the tongue, is in fact determined based on which part of the tongue is the narrowest, that is, which part of the tongue is closest to the palate. The narrow part of the tongue is called the front vowel, the back vowel is called the back vowel, and the middle vowel is called the central vowel.

Finally, the most important variable in vowel articulation is the shape of the lips. When the articulation is rounded vowels are rounded vowels, rounded vowels are called rounded vowels.

Speech impairment refers to the inability of soundness, intensity, sound quality, and fluidity to be appropriate for gender, age, size, social environment, and geographical location. It can be made either innately or acquiredly and can be treated to some extent by increasing or decreasing the vocal cords that are part of the larynx. However, the treatment is not perfect, and the effect is not accurate.

The larynx functions include swallowing, coughing, occlusion, breathing, and vocalization, and there are various evaluation methods (e.g., firing history test, speech pattern, acoustic test, aerodynamic test ...). . This assessment can be used to determine whether or not there is a speech impairment.

Different types of speech disorders are classified into functional speech disorders and organic speech disorders. Most of these types have abnormalities in the vocal cords, which are part of the larynx, and these vocal cords are often disturbed due to swelling, tearing, and abnormal substances caused by external environmental factors.

In order to replace the function of the vocal cords, a vibration generator capable of artificially generating vibrations may be used. The method of the vibration generator can use the principle of the speaker. Looking at the structure of the speaker, it consists of a magnet and a coil, and when the current is reversed in the state of flowing a current to the coil, the pole of the magnet is reversed. Therefore, attraction and repulsive force act according to the direction of the current of the magnet and the coil, which causes the coil to reciprocate. The reciprocating motion of the coil vibrates the air to generate vibration.

Another method using the piezoelectric phenomenon is that the piezoelectric crystal unit receives a low frequency signal voltage and causes distortion, thereby causing the diaphragm to vibrate to generate sound. Therefore, the vibration generator using these principles can be performed to perform the function of the vocal cords.

However, in this case, the sound that appears outside is simply a function of vibrating the vocal cords, and it is not easy to identify the speaker's intention. In addition, the vibration generator should be located at the vocal cords and always have a hand. The above-mentioned utterance disorder and the above-described utterance abnormalities can be sought for therapeutic methods such as surgery on the larynx or vocal cords, but such surgical methods or treatments are sometimes impossible to provide a complete solution.

The Rion EPG, Flecher, which was widely commercialized under the name of Rion in 1973 by the University of Reading, Fujimura, Japan, and Tatsumi, used by companies such as WinEPG and Articulate Instruments Ltd. This application includes Kay Palatometer, developed by UCLA Phonetics Lab for research purposes, and Complete Speech (Logomertix), developed by Schmidt.

However, the conventional techniques have a limitation in igniting based on passive articulation organs, and in order to implement utterances according to the actual articulation method by using oral tongue, which is the active articulation organ itself, or linkage between oral tongue and other articulation organs. There was a definite limit.

Various sensors have been developed to detect changes in state or movement. Based on the sensors, it is possible to detect changes in pressure, temperature, distance, and friction.

In addition, speech and facial synchronization (Lip Sync) is to copy the speech, facial expressions, etc., including speech and articulation, which are the most important factors that determine the identity of the object or object, to characters, robots, various electronic products, autonomous vehicles, etc. Application is a key means of determining and extending an individual's identity. In particular, since professional animation teams work to create high-quality Lip Sync animations, high cost and time are required, and a large amount of work is difficult. Conventional general techniques have been limited to the use of simple lip library to create low quality animations. Overseas animation content producers such as Pixar and Disney spend a lot of time and money creating realistic character animations through Lip Sync.

The present invention has been proposed in order to solve the above-mentioned problems, an object of the present invention is to grasp the user's articulation method according to the user's utterance through the sensor of the head and neck including the oral cavity, it is the hearing, visual, tactile It is to provide a device and a method for complementing the speech that can be expressed in the form of a good quality voice, that is, speech can be expressed.

Another object of the present invention is to implement an appropriate utterance of good quality when the normal function in the utterance and correction or treatment is impossible.

It is still another object of the present invention to provide a device for supplementing a utterance located inside / outside so that an accurate utterance of a desired degree can be expressed to the outside according to the articulation intention for utterance.

Still another object of the present invention is to grasp the user's articulation method according to the user's utterance intention through the sensor of the head and neck including the oral cavity, and to map it to the head and neck of the image object including the animation utterance and expression of the image object It is intended to provide a way to implement more similar to humans and naturally.

Still another object of the present invention is to grasp the user's articulation method according to the user's utterance intention through the sensor of the head and neck including the oral cavity, and to map it to the actuator of the head and neck of the robot including the humanoid ignition of the head and neck of the robot And it is to provide a method of embodying the expression more similar to the human naturally.

Other objects and advantages of the present invention will become more apparent from the following detailed description of the invention and the accompanying drawings.

In order to achieve the above object, the present invention, the sensor unit for measuring the physical characteristics of the articulation engine adjacent to one surface of the head and neck portion of the speaker; A data analysis unit which grasps a utterance characteristic of a speaker based on the position of the sensor unit and the physical characteristics of the articulator; A data converting unit converting the position of the sensor unit and the speech feature into language data; It includes a data expression unit for expressing the language data to the outside, the sensor unit provides a speech intent expression system including a mouth verbal sensor corresponding to the oral cavity.

The oral tongue sensor is fixed to one side of the oral tongue, wraps the surface of the oral tongue, or is inserted into the oral tongue, and the x-axis, the y-axis, and the z-axis of the oral tongue according to the ignition. By grasping the amount of change in the amount of vector over time based on direction, the physical characteristics of at least one of low altitude, anteroposterior, flexion, extension, rotational, tension, contraction, relaxation, and vibration of the oral tongue can be identified. have.

In addition, the oral tongue sensor is fixed to one side of the oral tongue, or wrapped around the surface of the oral tongue, or inserted into the oral tongue, x-axis, y-axis, z-axis of the oral tongue according to the ignition By grasping the change amount of the rotation angle per unit time based on the direction, it is possible to grasp the physical characteristics of the articulation organ including the oral cavity.

In addition, the oral tongue sensor is fixed to one side of the oral tongue, or wrapped around the surface of the oral tongue, the polarization due to the change in the crystal structure according to the physical force generated by the contraction and relaxation of the oral tongue due to ignition The degree of bending of the oral tongue through the piezoelectric element that generates an electrical signal corresponding to the low altitude, the front and rear tongue, the degree of flexion, the extension, the rotation, the tension, the contraction degree, the relaxation degree, the vibration degree of the oral tongue At least one of the physical characteristics can be identified.

In addition, the sensor unit, the rupture degree, friction degree, resonance degree, the approach degree of the triboelectric power (Tribo Electric Generator) corresponding to the approach and contact caused by the oral cavity is due to the interaction with other articulation organs inside and outside the head and neck It may include a triboelectric charging element for identifying at least one physical property.

The data interpreter may include a consonant, lexical unit stress, and sentence stress that are spoken by the speaker through physical characteristics of the oral culprit and other articulation organs measured by the sensor unit. At least one speech feature can be identified.

In addition, the data analysis unit, in grasping the speech characteristics by the physical characteristics of the articulation engine measured by the sensor unit, the pronunciation of the speaker based on a standard speech feature matrix consisting of a binary number or a real number The utterance characteristic of at least one of hyper noon, pseudo-proximity and utterance intent can be measured.

The data analyzing unit may recognize physical characteristics of the articulation engine as measured by the sensor unit, and recognize the physical characteristics of the articulation engine as a pattern of each consonant unit. Extracting a feature of the pattern of the consonant, classifying the extracted feature of the pattern of the consonant unit according to similarity, recombining the feature of the pattern of the classified consonant unit, and uttering the physical characteristics of the articulation organ According to the interpretation of the feature, the speech feature may be identified.

In addition, the data analysis unit, according to the physical characteristics of the articulation engine measured by the sensor unit, assimilation, dissimilation, elimination, attachment, stress and stress of the consonants Asthma, Syllabic cosonant, Flapping, Tensification, Labilization, Velarization, and Dinification caused by Reduction It is possible to measure the utterance variation, which is the secondary articulation of at least one of Dentalizatiom, Palatalization, Nasalization, Stress Shift, and Lengthening.

The oral cavity sensor may include a circuit unit for sensor operation, a capsule unit surrounding the circuit unit, and an adhesive unit attached to one surface of the oral cavity.

In addition, the oral tongue sensor may be operated adjacent to the oral tongue as a film having a thin film circuit.

The sensor unit may include a face sensor including at least one reference sensor generating a reference potential for measuring nerve signals of the head and neck muscles, at least one anode sensor and at least one cathode sensor for measuring nerve signals of the head and neck muscles. It may include.

In addition, the data analysis unit, in acquiring the position of the sensor unit based on the face sensor, by grasping the potential difference between the at least one anode sensor and the at least one cathode sensor based on the reference sensor the face unit sensor I can figure out the position of.

The data analyzer may be configured to determine a potential difference between the at least one anode sensor and the at least one cathode sensor based on the reference sensor in acquiring a utterance characteristic of the speaker based on the face sensor. Ignition characteristics due to the physical characteristics of the articulation engine generated in the head and neck of the.

The sensor unit may include a vocal cord sensor that grasps EMG or tremor of the vocal cords adjacent to the vocal cords of the head and neck of the speaker and grasps at least one utterance information of the utterance start, ignition stop, or utterance of the narrator. Can be.

The sensor unit may include a dental sensor that detects a signal generation position due to a change in electrical capacity generated due to contact between the oral tongue and the lower lip adjacent to one surface of the tooth.

The data analyzer may acquire a voice of the speaker according to the utterance through a voice acquisition sensor adjacent to one surface of the head and neck of the speaker.

The sensor unit may detect at least one of change information of the head and neck articulation organ of the speaker, head and neck facial expression change information of the speaker, and non-verbal expression of the head, neck, chest, upper and lower extremities moving according to the speaker's intention to speak. It may include an imaging sensor for imaging the head and neck of the speaker.

In addition, the speech intent expression system may further include a power supply unit for supplying power to at least one of the oral tongue sensor, facial sensor, voice acquisition sensor, vocal cord sensor, dental sensor, imaging sensor.

The speech intent representation system may further include a wired or wireless communication unit capable of interworking communication when the data analysis unit and the database unit are located outside and operated.

The data analysis unit may be linked with a database unit including at least one language data index corresponding to the position of the sensor unit, the speaker's speech feature, and the speaker's voice.

And, the database unit, at least one of the duration of the speech, the frequency according to the speech, the amplitude of the speech, the electromyography of the head and neck muscles according to the speech, the position change of the head and neck muscles according to the speech, the position change due to the bending and rotation of the oral tongue Based on the information of, the at least one language data index among the phoneme index, the syllable unit index, the word unit index, the phrase unit index, the sentence unit index, the continuous speech unit index, and the high and low index of the pronunciation may be constructed. .

In addition, the data expression unit, in conjunction with the language data index of the database unit, the speaker's utterance characteristics (Phoneme) unit, at least one word unit, at least one phrase unit (Citation Forms), at least one It may represent at least one speech expression of the sentence unit of the continuous speech (Consecutive Speech).

The speech expression represented by the data expression unit may be visualized as at least one of a letter symbol, a picture, a special symbol, and a number, or may be audited in a sound form and provided to the speaker and the listener.

In addition, the utterance expression represented by the data expression unit may be provided to the speaker and the listener by at least one tactile method of vibration, snoozing, tapping, pressing, and relaxing.

The data converter converts the position of the sensor unit and the head and neck facial expression change information into first basis data, and converts the utterance feature, the change information of the articulation organ, and the head and neck facial expression change information into second basis data. The head and neck of the image object or the head and neck of the robot object may be generated as object head and neck data required for at least one object.

In addition, the speech intention expression system, in representing the head and neck data processed by the data analysis unit in the head and neck of the image object or the head and neck of the robot object, the static basic coordinates based on the first basis data of the data conversion unit And setting the dynamic variable coordinates based on the second basis data to generate a matching position.

The head and neck data of the robot is transmitted to an actuator located on one surface of the head and neck of the robot object by the data matching unit, and the actuator is head and neck of the robot object including at least one of articulation, speech, and facial expression according to the head and neck data. Can implement the movement.

The speech intention expression system based on the physical characteristics of the head and neck articulation organs of the present invention grasps the intention to speak in the use of the head and neck articulator centering on the oral cavity of the speaker and expresses it in the form of hearing, sight, and tactile sound, namely Talking has the effect that can be expressed.

In the present invention, the articulatory organs inside and outside the head and neck, including the oral cavity, are used to grasp the intention of speaking. Examples of such movements include the independent physical characteristics of the oral tongue or the passive articulator and the lips, the gate, the vocal cord, the pharynx, the epiglottis The degree of closure, rupture, friction, and resonance caused by interaction with one or more of the active articulators, consisting of one or more of the following: One or more characteristics of the approach should be identified, and various sensors capable of identifying azimuth, elevation, rotation angle, pressure, friction, distance, temperature, sound, etc. are used to understand these characteristics.

The existing artificial vocal cords have the disadvantage of sounding vibrations from the outside, the one hand movement is unnatural and the quality of speech is very low. In the case of artificial palate, it is dependent on the palatal, which is a passive articulator. there was.

In addition, phonetic articulatory phonetics, which attempts to measure the speaker's speech using artificial palate, has been recognized as the mainstream until now, but in the measurement of speech, only the presence or absence of discrete speech of speech caused by a specific consonant's articulation I could figure it out. However, this claim of articulation does not mean that human speech is discrete. In each phoneme, in particular vowels, academia is aroused by academic acoustics, which claims that each vowel is a continuous system that cannot be segmented and cannot be segmented or pronounced. Specifically, human speech is articulated by "speaking." Or "did not ignite", but not discretely, but rather proportional, proportional, or phased by similarity.

Therefore, acoustic phonology quantifies the physical properties of language itself according to the speaker's utterance, and grasps the similarity or proximity of utterances, so that the proportional, proportional, stepwise similarity of pronunciation that conventional articulation phonology could not implement It opens the possibility for measuring ignition by degree.

When referring to the related technical trends and related academic backgrounds, the present invention is based on articulation phonology, and it is very innovative to grasp and implement more accurate speech intention according to scaling of articulation to be pursued by acoustic phonology. It has advantages.

In detail, in the present invention, the quality of the communication and the convenience of life are very excellent because the present invention intuitively presents the speech intention in the form of hearing, sight, and touch by scaling the articulation generated by the speaker's articulation. It is expected to be.

In addition, when the intention to speak according to the speaker's speech is expressed as a character, Silent Speech (silent conversation) becomes possible by being applied to Speech to Text. In this way, when communicating with the hearing impaired, the speaker speaks and the hearing impaired as the listener recognizes this as a visual material, thus eliminating communication difficulties. In addition, it can be used for public transportation, public facilities, military installations and operations and underwater activities that are affected by noise in communication.

In addition, by taking a picture of the trauma of the head and neck articulators that change according to the utterance, it is possible to grasp the relationship between the external changes of the articulation organ according to the utterance and utterance, and to use it as a linguistic aspect, complementary alternative communication aspect, and facial expression of the humanoid. Can be.

In particular, in the animation and film production industry, it has been difficult to achieve the matching of the utterances and expressions of visual objects including animation characters. The most problematic part is the articulation of the articulation organs. Because they do not properly reflect the physical characteristics of human's complex articulators, even giant companies such as Walt Disney and Pixar are only at the level of development, where characters are squeaky, showing a low degree of agreement between dialogue, speech and expression. In order to solve this problem, a high cost is paid to the film production team and the feature points are attached to the voice actors or replica actors. However, this method does not solve the fundamental part of the utterance or expression of the image object, there is a limit to the main purpose to express the macroscopic movement over the entire body. However, the present invention measures physical characteristics of articulator organs of a real human speaker and maps them to the head and neck of the image object so that the utterance or expression of the image object can be realized similar to the real human speaker.

In particular, the present invention transmits and matches the speaker articulation information to an actuator that implements the movement of the head and neck of the robot object, thereby reproducing head and neck movements including articulation, utterance, and expression of a robot similar to a human speaker, Humanoid robots insisted by Masahiro have the effect of overcoming the "Uncanny Valley", a chronic cognitive dissonance caused by humans. In addition, human-friendly articulation of humanoids and other robots becomes possible, and it is possible to replace human roles of robots and Androids, and furthermore, human-robot dialogues are achieved, thereby increasing the elderly population due to aging. It is effective in preventing mental and psychological diseases such as isolation and depression in elderly society.

1 is a view showing a sensor unit of a speech intention representation system according to a first embodiment of the present invention.

2 is a view showing the position of the sensor unit of the speech intention representation system according to the first embodiment of the present invention.

3 is a diagram illustrating a speech intent representation system according to a first embodiment of the present invention;

4 is a view showing the positional name of the oral cavity used in the speech intent expression system according to the first embodiment of the present invention.

5 is a view showing the action of oral tongue for vowel speech utilized in the speech intent expression system according to the first embodiment of the present invention.

6 to 10 are views illustrating various oral cavity sensors of a speech intention expression system according to a first embodiment of the present invention, respectively.

11 and 12 are a cross-sectional view and a perspective view respectively showing the attachment state of the oral cavity sensor of the speech intent expression system according to the first embodiment of the present invention.

13 is a view showing a circuit portion of the oral cavity sensor of the speech intention expression system according to the first embodiment of the present invention.

FIG. 14 is a view illustrating various utilization states of the oral cavity sensor of the speech intention expression system according to the first embodiment of the present invention; FIG.

FIG. 15 is a diagram illustrating a speech intent representation system according to a second embodiment of the present invention; FIG.

FIG. 16 is a diagram illustrating a principle in which a data interpreter of a speech intent expression system according to a second embodiment of the present invention grasps speech characteristics. FIG.

17 is a view showing a principle of grasping the physical characteristics of the articulation engine measured by the data analysis unit of the speech intent representation system according to the second embodiment of the present invention as speech characteristics.

FIG. 18 is a diagram illustrating a standard speech feature matrix for a vowel utilized by a data interpreter of a speech intent representation system according to a second embodiment of the present invention. FIG.

FIG. 19 is a diagram showing a standard speech feature matrix relating to consonants utilized by a data interpreter of a speech intent representation system according to a second embodiment of the present invention. FIG.

20 is a diagram illustrating an algorithm process utilized by a data interpreter of a speech intent representation system according to a second embodiment of the present invention to grasp the physical characteristics of an articulation engine as speech features;

FIG. 21 is a detailed diagram illustrating an algorithm process utilized by a data interpreter of a speech intent representation system according to a second embodiment of the present invention to grasp the physical characteristics of an articulation organ as speech features; FIG.

FIG. 22 illustrates in detail the principle of an algorithmic process utilized by a data interpreter of a speech intent representation system according to a second embodiment of the present invention to grasp the physical characteristics of an articulation organ as speech features; FIG.

FIG. 23 is a diagram illustrating an algorithm process of identifying a specific vowel uttered by the oral cavity sensor of the utterance intention expression system according to the second embodiment of the present invention as a utterance characteristic; FIG.

FIG. 24 is a diagram illustrating a case in which the data analysis unit of the speech intent representation system according to the second embodiment of the present invention utilizes Alveolar Stop; FIG.

FIG. 25 is a diagram illustrating a case in which a data analysis unit of a speech intention representation system according to a second embodiment of the present invention utilizes a bilabial stop; FIG.

FIG. 26 is a diagram illustrating an experimental result using a voiced bilabial stop of a data interpreter of a speech intention expression system according to a second embodiment of the present invention; FIG.

27 and 28 are diagrams illustrating a case in which the data interpreter of the speech intent representation system according to the second embodiment of the present invention utilizes a voiced labiodental fricative;

FIG. 29 is a diagram illustrating interworking between a data interpreter and a database of a speech intent representation system according to a second embodiment of the present invention; FIG.

30 is a diagram illustrating a case in which a data interpreter of a speech intention expression system according to a second embodiment of the present invention recognizes a specific word.

FIG. 31 is a diagram showing a database unit of a speech intent representation system according to a second embodiment of the present invention; FIG.

32 is a diagram showing a speech intention expression system according to a third embodiment of the present invention;

33 and 34 are diagrams each showing an actual form of a database unit of the speech intent representation system according to the third embodiment of the present invention.

35 is a diagram showing a speech intention expression system according to a fourth embodiment of the present invention;

36 is a view showing interlocking of a sensor unit, a data analysis unit, a data expression unit, and a database unit in a speech intention representation system according to a fourth embodiment of the present invention;

37 to 41 respectively show a means for expressing language data by a data expression unit of a speech intention expression system according to a fourth embodiment of the present invention;

FIG. 42 is a diagram illustrating a case in which a data expression unit of a speech intention expression system according to a fourth embodiment of the present invention expresses language data visually and acoustically; FIG.

FIG. 43 is a diagram illustrating a case in which a data expression unit of a speech intention expression system according to a fourth embodiment of the present invention visually expresses language data; FIG.

FIG. 44 is a diagram illustrating a case in which a data expression unit of a speech intention expression system in accordance with a fourth embodiment of the present invention visually expresses language data; FIG.

FIG. 45 is a diagram illustrating a case in which a data expression unit of a speech intention expression system in accordance with a fourth embodiment of the present invention expresses language data in a continuous speech unit; FIG.

FIG. 46 is a diagram illustrating a confusion matrix utilized by a speech intent representation system according to a fourth embodiment of the present invention. FIG.

FIG. 47 is a diagram showing, as a percentage, the Confusion Matrix utilized by the speech intent representation system according to the fourth embodiment of the present invention. FIG.

48 is a diagram illustrating a case in which a speech intention expression system according to a fourth embodiment of the present invention assists a speaker in language correction and guidance through a screen;

FIG. 49 is a diagram illustrating a case where a speech intention expression system according to a fourth embodiment of the present invention captures and captures an image of a head and neck articulation organ; FIG.

50 is a diagram illustrating a case in which a speech intent representation system according to a fourth embodiment of the present invention combines mutual information through a standard speech feature matrix;

FIG. 51 is a diagram illustrating a speech intention presentation system according to a fifth embodiment of the present invention; FIG.

FIG. 52 illustrates a case in which a speech intention expression system according to a fifth embodiment of the present invention matches object head and neck data to head and neck portions of an image object based on static basic coordinates. FIG.

FIG. 53 is a view illustrating static basis coordinates based on a position of a face sensor utilized by a speech intention representation system according to a fifth embodiment of the present invention; FIG.

FIG. 54 illustrates a case in which the speech intent representation system according to the fifth embodiment of the present invention matches object head and neck data to the head and neck of an image object based on dynamic basic coordinates. FIG.

FIG. 55 is a view showing dynamic basis coordinates based on a voltage difference of a face sensor utilized by a speech intention expression system according to a fifth embodiment of the present invention; FIG.

FIG. 56 illustrates a case in which the speech intent representation system according to the fifth embodiment of the present invention matches the head and neck data of the robot object to the actuator of the head and neck of the robot object based on the static basic coordinates. FIG.

FIG. 57 is a view showing static basic coordinates based on a voltage difference of a face sensor utilized by a speech intention expression system according to a fifth embodiment of the present invention; FIG.

58 is a diagram illustrating a case in which the speech intent representation system according to the fifth embodiment of the present invention matches the head and neck data with an actuator of the head and neck of a robot object based on dynamic variable coordinates.

FIG. 59 is a view illustrating dynamic variable coordinates based on a voltage difference of a face sensor utilized by a speech intention expression system according to a fifth embodiment of the present invention; FIG.

60 and 61 are views showing the operation of the actuator of the head and neck portion of the robot object of the speech intent representation system according to the fifth embodiment of the present invention.

FIG. 62 is a view showing an actuator of the head and neck part of the robot object of the speech intent expression system according to the fifth embodiment of the present invention; FIG.

Hereinafter, with reference to the accompanying drawings will be described in detail a speech intent expression system using the physical characteristics of the head and neck articulator for expressing speech intent according to an embodiment of the present invention.

The following examples of the present invention are intended to embody the present invention, but not to limit or limit the scope of the present invention. What can be easily inferred by those skilled in the art from the detailed description and the embodiments of the present invention is interpreted as belonging to the scope of the present invention.

Details for carrying out the present invention will be described in detail with reference to FIGS. 1 to 62.

1 is a diagram illustrating a sensor unit of a speech intent representation system according to a first embodiment of the present invention, and FIG. 2 is a diagram illustrating a position of a sensor unit of a speech intention representation system according to a first embodiment of the present invention. 3 is a diagram illustrating a speech intention expression system according to a first embodiment of the present invention.

1, 2 and 3, in the utterance intention expression system according to the first embodiment of the present invention, the sensor unit 100 is oral tongue sensor 110, face sensor 120 located in the head and neck portion ), The voice acquisition sensor 130, the vocal cord sensor 140, the tooth sensor 150.

In more detail, the oral tongue sensor 110, the face sensor 120, the voice acquisition sensor 130, the vocal cord sensor 140, and the dental sensor 150 positioned in the head and neck part are located in the sensor unit 210 in which the respective sensors are located. ), The speech feature 220 according to the utterance of the speaker 10, the voice of the speaker 230, the speech detail information 240, and the speech variation 250 are provided.

The data interpreter 200 acquires such data, and the data converter 300 processes the data as language data 310.

4 is a view showing the positional name of the oral cavity used in the speech intent representation system according to the first embodiment of the present invention, Figure 5 is used in the speech intent representation system according to the first embodiment of the present invention It is a diagram showing the action of oral tongue for vowel speech.

As shown in FIGS. 4 and 5, in the case of the oral tongue sensor 110, the oral tongue sensor 12 is fixed to one side of the oral tongue 12, surrounds the surface, or is inserted therein, and has a low altitude, front and rear tongue shape, and bending Identify the independent physical properties of the oral tongue itself of at least one of degrees, extension, rotation, tension, contraction, relaxation, and vibration.

6 to 10 are views illustrating various oral cavity sensors of a speech intention expression system according to a first embodiment of the present invention.

As shown in Figs. 6 and 7, in grasping the independent physical characteristics of the oral tongue 12 itself, the oral tongue sensor 110 rotates per unit time and acceleration in the x-axis, y-axis, and z-axis directions. By grasping at least one of the change amount (angular velocity) of the angle, the ignition characteristic 220 by the physical characteristics of another articulation organ including the oral cavity 12 is grasped.

As shown in FIG. 8, the oral tongue sensor 110 generates a polarization signal due to a change in the crystal structure 111 according to the physical force generated by contraction or relaxation of the oral tongue 12 due to ignition. doing By grasping the bending degree of the oral tongue 12 through the piezoelectric element 112, it is possible to grasp the ignition characteristic 220 due to the physical characteristics of the articulation organ including the oral tongue 12.

As shown in FIG. 9, the oral tongue sensor 110 has a triboelectric generator generated by the approach and contact caused by the oral tongue 12 interacting with other articulation organs inside and outside the head and neck. In order to understand the associated physical characteristics, the speaker's ignition characteristic 220 is identified using the triboelectric charging element 113.

As shown in FIG. 10, the integrated oral tongue sensor 110 includes an acceleration and angular velocity in the x-axis, y-axis, and z-axis directions, an electrical signal by piezoelectricity, and a triboelectricity by contact. Identify the utterance characteristics 220 by the physical characteristics of the articulation organ, including.

As illustrated in FIGS. 11 and 12, the oral tongue sensor 110 may be configured as a composite thin film circuit and implemented as a single film. In this case, the oral tongue sensor 110 includes a circuit part 114 for operating the sensor part 100, a capsule part 115 surrounding the circuit part 114, and an oral tongue sensor 110 on one surface of the oral tongue 12. It consists of an adhesive part 116 to adhere.

As shown in Figures 6 to 9, the oral tongue sensor 110, the degree of rupture, friction, resonance, approaching degree caused by the adjacent or in contact with other articulation organs inside and outside the head and neck according to the characteristics of each sensor One or more physical characteristics can be identified.

FIG. 13 is a diagram illustrating a circuit unit of an oral cavity sensor of a speech intention expression system according to a first embodiment of the present invention.

As shown in FIG. 13, the circuit unit 114 of the oral cavity sensor 110 includes a communication chip, a sensing circuit, and an MCU.

14 is a diagram illustrating various utilization states of the oral cavity sensor of the speech intent expression system according to the first embodiment of the present invention.

As shown in FIG. 14, the oral culprit sensor 110 may grasp the state of the oral culprit 12 according to the utterance of the speaker's various consonants, and identify the utterance characteristics 220 according to the consonant vowels.

For example, the oral cavity sensor 110 may grasp the utterance feature 220 according to the Bilabial Sound, the Alveolar Sound, and the Palatal Sound.

15 is a diagram illustrating a speech intention expression system according to a second embodiment of the present invention.

As shown in FIG. 15, in the speech intention expression system according to the second embodiment of the present invention, the oral tongue sensor 110, the face sensor 120, the voice acquisition sensor 130, the vocal cord sensor 140, the teeth The sensor unit 100 near the head and neck articulation organ including the sensor 150 is located in the head and neck articulation organ, where the sensor is located 210, the utterance feature 220 according to the utterance, and the speaker's voice 230 according to the utterance. The identification history information 240 including the start of the utterance, the utterance stop, and the utterance end is grasped.

In this case, the utterance feature 220 may include one or more basic physical utterance characteristics of closed rupture speech, frictional speech, rupture speech, non-negative speech, voiced speech, active speech, sibilant speech, voiceless speech, and voiced speech. it means. The speaker's voice 230 is also an auditory speech feature that accompanies the speech feature. And, the utterance history information 240, through the vocal cord sensor 140, grasps the information by EMG or tremor of the vocal cords.

The data analysis unit 200 includes a sensor unit 100 near the head and neck articulation organ including the oral tongue sensor 110, the face sensor 120, the voice acquisition sensor 130, the vocal cord sensor 140, and the dental sensor 150. In the physical characteristics of the speaker's articulation organ measured by), the speech variation 250 generated according to the speaker's gender, race, age, and native language is identified.

At this time, the utterance variation 250 is an associative syllable caused by assimilation, dissimilation, elimination, attachment, stress, and reduction of consonants. Syllabic cosonant, Flapping, Tensification, Labilization, Velarization, Dentalizatiom, Palatalization, Nasalization, Stress change Stress shift), or one or more secondary articulations of lengthening (Lengthening).

The data converter 300 may include a position 210 of the sensor unit measured by the head and

neck articulator sensors

110, 120, 130, 140, and 150, a speech feature 220 according to speech, and a speaker's voice according to speech. 230, the utterance history information 240 and the utterance variation 250 are recognized as language data 310 and processed.

At this time, in the data conversion unit 300 recognizes and processes the language data 310, the data analysis unit 200 is linked with the database unit 350.

The database unit 350 includes a phoneme unit 361, an index syllable unit index 362, a word unit index 363, a phrase unit index 364, a sentence unit index 365, and a continuous speech index 366. ), A linguistic data index 360 including a high and low index 367 of the pronunciation. Through the language data index 360, the data analysis unit 200 may process various speech-related information acquired by the sensor unit 100 as language data.

FIG. 16 is a diagram illustrating a principle in which a data interpreter of a speech intent representation system according to a second embodiment of the present invention grasps speech characteristics, and FIG. 17 illustrates data of a speech intent representation system according to a second embodiment of the present invention. FIG. 18 is a diagram illustrating a principle of identifying physical characteristics of an articulation engine measured as an utterance feature, and FIG. 18 is a standard utterance feature regarding a vowel used by a data interpreter of a speech intent representation system according to a second embodiment of the present invention 19 is a diagram showing a matrix, and FIG. 19 is a diagram illustrating a standard speech feature matrix related to consonants utilized by a data interpreter of a speech intent representation system according to a second embodiment of the present invention.

As shown in FIGS. 16, 17, 18, and 19, the data analysis unit 200 first acquires physical characteristics of the articulation organ measured from the sensor unit 100 including the oral cavity sensor 110. . When the articulation organ physical characteristics are acquired due to the oral cavity sensor 110, the oral cavity sensor 110 senses the articulation organ physical characteristics and creates a matrix value of the sensed physical characteristics.

Subsequently, the data analysis unit 200 grasps the speech feature 220 of the consonant corresponding to the matrix value of the physical property in the standard speech feature matrix 205 of the consonant. In this case, the standard speech feature matrix 205 of the consonant may have one or more of its values as a consonant utterance symbol, binary or real number.

FIG. 20 is a diagram illustrating an algorithm process utilized by a data interpreter of a speech intention expression system according to a second embodiment of the present invention to grasp the physical characteristics of an articulation engine as speech features.

As shown in FIG. 20, the algorithm process utilized by the data analysis unit 200 includes the steps of acquiring the physical characteristics of the articulation engine in grasping the physical characteristics of the articulation engine measured by the sensor unit 100; Identifying a pattern of each consonant unit possessed by the acquired physical characteristics of the articulated organ, extracting a unique feature from each consonant pattern, classifying the extracted features, and recombining the features of the classified pattern It consists of stages, through which the final identification of the specific speech characteristics.

FIG. 21 is a detailed diagram illustrating an algorithm process utilized by a data interpreter of a speech intent representation system according to a second embodiment of the present invention to grasp the physical characteristics of an articulation engine as speech features; FIG. FIG. 23 is a diagram illustrating in detail the principle of an algorithm process utilized by a data interpreter of a speech intention representation system according to a second embodiment to identify physical characteristics of an articulation engine as speech characteristics, and FIG. 23 is a diagram illustrating a second embodiment of the present invention. It is a diagram illustrating an algorithm process of identifying a specific vowel as a speech feature by the oral cavity sensor of the speech intent expression system.

As shown in Figs. 21, 22 and 23, in the speech feature grasping algorithm performed by the data analysis unit 200, the step of grasping the pattern of the unit of each consonant is a sensor grasping the physical characteristics of the articulation engine. When the unit 100 is the oral cavity 12, the pattern of the consonant unit is determined based on the x, y, and z axes.

At this time, the algorithm is one or more of K-nearset Neihbor (KNN), Artificial Neural Network (ANN), Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Restricted Boltzmann Machine (RBM), Hidden Markov Model (HMM) Can be based on

For example, in FIGS. 22 and 23, when the oral cavity sensor 110 is driven by a sensor that grasps the change amount or the angle change amount of the vector amount, the change in the vector amount and the angle change amount are determined by measuring the utterance of the speaker. It is recognized as a vowel [i] having Tongue Height and Tongue Frontness.

In addition, when the oral tongue sensor 110 is a sensor driven on the basis of piezoelectric signals or triboelectric signals, the oral culprit sensor 110 may be caused by the change of the electrical signal due to piezoelectricity and the proximity or friction between the oral tongue sensor 110 and the internal and external articulation organs. The triboelectric signal is identified and recognized as a vowel [i] with dullness and legend.

In the case of the vowel [u], based on the same principles, the height of the tongue and the backness of the vowel are measured to identify the vowel. In the case of [], based on the same principle, it measures the Tongue Height (Low) r and the Tongue Frontness as the corresponding collection.

In FIG. 23, the oral cavity sensor 110 measures vowels such as [i], [u], and [] generated by the utterance of the speaker as the utterance feature 220. This vowel speech feature 220 corresponds to the phoneme unit index 361 of the consonant of the database 350.

FIG. 24 is a diagram illustrating a case in which the data analysis unit of the speech intention expression system according to the second embodiment of the present invention utilizes Alveolar Stop.

As shown in FIG. 24, the oral cavity sensor 110 measures the specific consonant uttered by the speaker as the utterance feature 220. The consonant utterance feature 220 of the consonant corresponds to the phoneme unit index 361 of the consonant of the database unit 350, and the data interpreter 200 recognizes Alveolar Stop as the language data 310.

FIG. 25 is a diagram illustrating a case in which the data interpreter of the speech intent representation system according to the second embodiment uses Bilabial Stop.

As shown in FIG. 25, the oral cavity sensor 110 and the face sensor 120 measure the specific consonant uttered by the speaker as the utterance feature 220. The consonant utterance feature 220 of the consonant corresponds to the phoneme unit index 361 of the consonant of the database unit 350, and the data interpreter 200 recognizes the bilabial stop as the language data 310.

FIG. 26 is a diagram illustrating an experiment result using a voiced bilabial stop of a data interpreter of a speech intent expression system according to a second embodiment of the present invention.

As shown in FIG. 26, the oral tongue sensor 110 and the face sensor 120 measure the specific consonant uttered by the speaker as the utterance feature 220. The consonant utterance feature 220 of the consonant corresponds to the phoneme unit index 361 of the consonant of the database unit 350, and the data interpreter 200 is a voiced bilabial stop, which is language data 310, and / or /. The voiceless bilabial stop was identified as / per /.

27 and 28 are diagrams illustrating a case in which the data interpreter of the speech intent representation system according to the second embodiment of the present invention utilizes Voiced Labiodental Fricative.

As shown in Figure 27 and Figure 28, oral tongue sensor 110, facial sensor 120, voice acquisition sensor 130. The vocal cord sensor 140 and the dental sensor 150 measure the specific consonant uttered by the speaker as the utterance feature 220. The consonant utterance feature 220 of the consonant corresponds to the phoneme unit index 361 of the consonant of the database unit 350, and the data interpreter 200 recognizes the voiced Labiodental Fricative as the language data 310.

FIG. 29 is a diagram illustrating interworking between a data interpreter and a database of a speech intention expression system according to a second embodiment of the present invention.

As shown in FIG. 29, the imaging sensor 160 includes a speaker having an oral cavity sensor 110, a face sensor 120, and a voice acquisition sensor 130. Articulation change information 161 of the head and neck, head and neck facial expression change information 162, and non-verbal expression information 163 that occur when vocalization occurs in a situation where one or more of the vocal cord sensor 140 and the dental sensor 150 are used. The voice data 310 is recognized and processed.

In particular, the face sensor located on one surface of the head and neck has its own position with the potential difference between the anode sensor 122 and the cathode sensor 123 relative to the reference sensor 121, which is captured by the imaging sensor 160 by imaging. The physical head and neck joint articulation change information 161, head and neck facial expression change information 162, and non-verbal expression information 163 are transmitted to the data converter 300 as language data 310.

FIG. 30 is a diagram illustrating a case in which a data interpreter of a speech intention expression system according to a second embodiment of the present invention recognizes a specific word.

As shown in FIG. 30, the oral tongue sensor 110, the face sensor 120, the voice acquisition sensor 130, the vocal cord sensor 140, and the dental sensor 150 make a specific consonant and a vowel spoken by the speaker. The measurement and data analysis unit 200 recognizes consonants and vowels as speech features 220. The speech features 220, [b], [i], and [f] of the respective consonants correspond to phoneme unit indexes 361 of the consonants of the database unit 350, respectively, and the data interpreter determines this as / beef /. To [bif].

31 is a diagram showing a database unit of a speech intent representation system according to a second embodiment of the present invention.

As shown in FIG. 31, the language data index 360 of the database unit 350 includes a phoneme unit index 361, a syllable unit index 362, a word unit index 363, and a phrase unit index 364 of a consonant. ), A sentence unit index 365, a continuous speech index 366, and a high and low index 367 of the pronunciation.

32 is a diagram illustrating a speech intention expression system according to a third embodiment of the present invention.

As shown in FIG. 32, when one or more of the data analysis unit 200 and the data expression unit (500 of FIG. 34) are located outside and operate, the communication unit 400 may communicate with each other. The communication unit 400 is implemented by wire and wireless, and in the case of wireless, various methods such as Bluetooth, Wi-Fi, 3G, 4G, and NFC may be used.

33 and 34 are diagrams each showing an actual form of the database unit of the speech intent representation system according to the third embodiment of the present invention.

As shown in FIGS. 33 and 34, the database unit 350 linked to the data analysis unit 200 has a language data index and has a speech feature 220 according to the actual speech, the speaker's voice 230, and the speech details. The information 240 and the speech variation 250 are identified as the language data 310.

FIG. 33 is a diagram illustrating various consonant speech features including the high front tense vowel and the high back tense vowel of FIG. 23, the alveolar sounds of FIG. 24, and the voiceless labiodental fricative of FIG. 27. The actual data of the database unit 350 reflected by the 200 is shown.

FIG. 34 illustrates a database in which the sensor unit 100 measures various consonant utterance characteristics including the high front lax vowel of FIG. 23, the alveolar sounds of FIG. 24, and the bilabial stop sounds of FIG. 25, and the data interpreter 200 reflects. Actual data of the unit 350.

35 is a diagram illustrating a speech intent expression system according to a fourth embodiment of the present invention, and FIG. 36 is a sensor part, a data interpreter, a data expression part, and a speech intent expression system according to a fourth embodiment of the present invention. It is a figure which shows the interlocking of a database part.

As shown in FIG. 35, the speech intention expression system according to the fourth embodiment of the present invention includes a sensor unit 100, a data analysis unit 200, a data conversion unit 300, and a database unit which operate organically in cooperation. 350 and the data expression unit 500.

As shown in FIG. 36, the sensor unit 100 is located in an actual articulation engine, measures physical characteristics of the articulation engine according to the utterance of the speaker, and transmits the physical characteristics to the data analysis unit 200, which the data analysis unit 200 performs. Interpret as language data. The interpreted language data is transmitted to the data expression unit 500, and it can be seen that the database unit 350 works in conjunction with the interpretation process and the expression process of the language data.

37 to 41 are diagrams showing means for expressing language data by the data expression unit of the speech intention expression system according to the fourth embodiment of the present invention.

37 to 41, the physical characteristics of the head and neck articulator of the speaker obtained by the sensor unit 100 is the position of the sensor unit 210, the ignition feature 220, through the data analysis unit 200, The speaker 230 is identified as the speaker 230, the speech detail information 240, and the speech variation 250.

The imaging sensor 160 captures an appearance change of the speaker's head and neck articulation organ, and the data interpreter 200 recognizes the change information 161 and the head and neck facial expression change information 162 of the speaker's head and neck articulation organ.

Then, such information is converted into language data 310 in the data analysis unit 200, it is represented to the outside in the data expression unit 500.

In this case, FIG. 37 illustrates that the data expression unit 500 acoustically expresses the language data 310, and FIG. 38 illustrates that the data expression unit 500 visually expresses the language data 310. The physical characteristics of the speaker's articulation organ measured by the analyzing unit 200 are compared with the language data index 360 of the database unit 350, and the accent noon and the like are accompanied by a broad description of the actual standard pronunciation. It is provided to provide a numerical value measured at least one of proximity, intention to ignite.

39 illustrates that the data expression unit 500 expresses the language data 310 visually and aurally, and indicates the physical characteristics of the speaker's articulation organ measured by the data interpreter 200. Compared with the index 360, it provides a narrow description of the actual standard pronunciation along with a measure of one or more of stressed noon, pseudo-proximity, and speech intent.

40 illustrates that the data expressing unit 500 visually expresses the language data 310, the physical characteristics of the speaker's articulation organ measured by the data analyzing unit 200 are indexed by the language unit 360 of the database unit 350. ), Along with a narrow description of the actual standard pronunciation, a number of measurements of one or more of stressed noon, pseudo-proximity, or speech intent, and the corresponding language data 310 is a word-by-word index as a word ( 363), the corresponding image is provided together with the corresponding image.

41 illustrates that the data expression unit 500 expresses the language data 310 visually and aurally, and indicates the physical characteristics of the speaker's articulation organ measured by the data interpreter 200. Compared with the index 360, a numerical description of one or more of stressed noon, pseudo-proximity, and speech intent, together with a narrow description of the actual standard pronunciation, is provided. It shows that the speech correction image is provided together to utter the pronunciation so that it can be corrected and strengthened.

FIG. 42 is a diagram illustrating a case in which the data expression unit of the speech intention expression system according to the fourth embodiment expresses language data visually and acoustically.

As shown in FIG. 42, the data expression unit 500 visualizes the language data 310 by text and provides audio by audio, so that the physical characteristics of the speaker's articulation engine measured by the data interpreter 200 are measured. A language data index of one or more of the consonant phoneme unit index 361, the syllable unit index 362, the word unit index 363, the phrase unit index 364, and the sentence unit index 365 of the database unit 350. 360).

The linguistic data 310 may include one or more of stressed noon, pseudo-proximity, and speech intent, together with a narrow description of the actual standard pronunciation associated with the speaker's linguistic data 310. By providing the measured letters and sounds to help the speaker to correct and reinforce the language data (310).

FIG. 43 is a diagram illustrating a case in which the data expression unit of the speech intention expression system according to the fourth embodiment expresses language data visually.

As shown in FIG. 43, the data expression unit 500 visualizes and provides the language data 310 as one or more of a text, a picture, a picture, and an image.

At this time, the data analysis unit 200 measures the physics characteristics of the speaker's articulation organ by using the consonant phoneme unit index 361, syllable unit index 362, word unit index 363, and phrase unit of the database unit 350. The language data index 360 is compared to one or more of the index 364 and the sentence unit index 365.

In addition, when visualized as a letter, both a narrow description and a broad description of the actual standard pronunciation are provided. Through this, the language data 310 is used by the data expression unit 500 along with a narrow description and broad description of the actual standard pronunciation related to the speaker's language data 310. In addition, by providing at least one of the intention to speak the measured character and sound to help the speaker to correct and reinforce the language data (310).

FIG. 44 is a diagram illustrating a case in which the data expression unit of the speech intention expression system according to the fourth embodiment expresses language data visually.

As shown in FIG. 44, when the data expression unit 500 visualizes and provides the language data 310 as a character, the database unit 350 displays the physical characteristics of the speaker's articulation organ measured by the data analysis unit 200. One or more of the phoneme unit index (361), syllable unit index (362), word unit index (363), phrase unit index (364), sentence unit index (365), continuous speech index (366) Compare with index 360. The language data 310 is used by the data expression unit 500 along with a narrow description and broad description of the actual standard pronunciation related to the speaker's language data 310. In addition, by providing a character and a sound of a continuous speech unit measured at least one of the speech intent to help the speaker to correct and reinforce the language data (310).

45 is a diagram illustrating a case in which the data expression unit of the speech intention expression system according to the fourth embodiment expresses language data in units of continuous speech.

As shown in FIG. 45, when the data expression unit 500 visualizes the language data 310 by text and auditoryizes it with sound, the physical characteristics of the speaker's articulation organ measured by the data analysis unit 200 are measured. Consonant phoneme unit index (361), syllable unit index (362), word unit index (363), phrase unit index (364), sentence unit index (365), and continuous speech index (366) of the database unit 350. Compare the linguistic data index 360 with one or more of the phonetic high and low indexes 367. The language data 310 is used by the data expression unit 500 along with a narrow description and broad description of the actual standard pronunciation related to the speaker's language data 310. In order to help the speaker correct and reinforce the language data 310, the speaker may provide one or more of the utterance intentions as measured letters and sounds.

46 is a diagram illustrating a confusion matrix utilized by the speech intent representation system according to the fourth embodiment of the present invention, and FIG. 47 is a percentage of the confusion matrix utilized by the speech intent representation system according to the fourth embodiment of the present invention. FIG.

46 and 47, the data interpreter 200 extracts one or more features using time domain variance, frequency domain Cepstral Coefficient, and linear predictive coding coefficient in identifying the language data 310. Represents an algorithm.

Variance representing the degree of variance of the data is calculated according to Equation 1 below. Where n is the network of population,

Is the mean of a population of data that is the articulator physical characteristics collected, and x _i represents the data of the articulator physical characteristics collected.

[수학식1][Equation 1]

Cepstral Coefficient is calculated by the following Equation 2 to formulate the strength of the frequency. Here, F- ¹ represents an Inverse Fourrier Transform, which is an Inverse Fourier series transform, and X (f) represents a spectrum of frequencies for a signal. In this example, Cofficent of Cepstral utilizes the value when n = 0.

[수학식2][Equation 2]

Linear Predict Coding Coefficient represents the linear characteristic of frequency and is calculated according to Equation 3 below. Where n represents the number of samples and a _i is a Linear Predict Coding Coefficient coefficient. As the coefficient of Cepstral, the value when n = 1 was used.

[수학식 3][Equation 3]

In addition, ANN was used to classify each data by grouping the data of the articulator physical properties according to similarity and generating prediction data. Through this, the speaker can grasp the noon, proximity similarity, and intention of the utterance of his utterance in preparation for the standard utterance. Based on this, the speaker gets feedback on the contents of the utterance and continuously re-ignites the utterance. Through this repetitive articulation data input method, a large amount of articulation data of physical arts is gathered and the accuracy of ANN is increased.

Here, the physical properties of the articulation organs, which are input data, were selected as 10 consonants, and classified into 5 articulation positions, Bilabial, Alveolar, Palatal, Velar, and Glottal. To this end, 10 consonants corresponding to the five articulation positions were pronounced 100 times in order, 1000 times in total, 50 times in total, and 500 times in total.

As a result, as shown in FIG. 46, a confusion matrix for consonant classification was formed. Based on this, considering that the number of consonants spoken in each of the articulation positions is different, as shown in FIG.

Through this, it can be seen that the speaker cannot utter consonants properly with respect to Palatal, which has low noon and close similarity as compared to standard speech. In addition, as shown in FIG. 46, 17% of cases attempt to utter consonants related to Palatal but erroneously utter consonants related to Alveolar. This means that the speaker does not clearly recognize the difference between the consonant associated with Palatal and the consonant associated with Alveolar.

48 is a diagram illustrating a case in which a speech intention expression system according to a fourth embodiment of the present invention assists a speaker in language correction and guidance through a screen.

As shown in FIG. 48, a Korean speaker who does not speak English as a native language utters [kiŋ], and the sensor unit 100 grasps the physical characteristics of the articulation organ according to the utterance.

However, in the case of the speaker, the method of articulation and speech was inexperienced for [ŋ], a Velar Nasal Sound that does not exist in Korean.

In response, the data interpreter 200 recognizes that the speaker does not speak properly [ŋ] through comparison with the standard speech feature matrix 205. Then, the data expression unit 300 provided the speaker's utterance noon and similarity, and the result was only 46%. Then, the data expression unit 300 helps the speaker to pronounce [kiŋ] correctly through the screen.

In this case, the data expression unit 300 provides Speech Guidance (Image) to intuitively show which articulation organs the speaker should manipulate. Speech Guidance (Image) presented by the data expression unit 300 performs utterance correction and guidance based on the sensor unit attached to or adjacent to the articulator for ignition of the [ŋ]. For example, in the case of [kiŋ], [k] raises the tongue of the tongue (Tongue Body, Root) in the direction of the Velar (drug) and makes a rupture sound while making a play. Fire at / k /

At this time, the rear part of the tongue raises and attaches in the direction of Velar (stud) and emits a rupture sound that is spaced apart by the oral tongue sensor 110. In the case of [i], since it is a legendary high front tension vowel, the oral tongue sensor 110 also detects the tongue's height and frontness. In addition, when igniting [i], both ends of the lips are pulled to both cheeks. The face sensor 120 will grasp this. In the case of [ŋ], the back of the tongue (Tongue Body, Tongue Root) must be lifted in the direction of Velar and snorted to ignite. Therefore, the oral tongue sensor 110 also grasps the high hypothermia and the anteroposterior tongue of the tongue.

In addition, since the pronunciation is nasal sound, the muscles around the nose and its surroundings tremble. This phenomenon can be identified by attaching the face sensor 120 around the nose.

FIG. 49 is a diagram illustrating a case in which a speech intention expression system according to a fourth embodiment of the present invention captures and captures an image of a head and neck articulation organ.

As shown in FIG. 49, the imaging sensor 160 captures an appearance change of the speaker's head and neck articulation engine according to the utterance, and the data interpreter 200 changes information 161 of the speaker's head and neck articulation engine through this. The head and neck facial expression change information 162 is grasped. In this case, the speaker's speech characteristics 210 identified through the oral tongue sensor 110, the face sensor 120, the voice acquisition sensor 130, the vocal cord sensor 140, and the dental sensor 150 of the sensor unit 100 are also included. The data analysis unit 200 will be considered together.

50 is a diagram illustrating a case in which a speech intent representation system according to a fourth embodiment combines mutual information through a standard speech feature matrix.

As shown in FIG. 50, the oral cavity sensor 110, the face sensor 120, the voice acquisition sensor 130, and the vocal cord sensor 140 of the sensor unit 100. The dental sensor 150 grasps the speaker's speech characteristics 210, and the imaging sensor 160 grasps the change information 161 of the head and neck articulation organ and the head and neck facial expression change information 162. Through this, the data interpreter 200 combines the speech information corresponding to the change information 161 of the head and neck articulation organ and the head and neck facial expression change information 162 based on the standard speech feature matrix 205.

51 is a diagram illustrating a speech intent expression system according to a fifth embodiment of the present invention.

As shown in FIG. 51, based on the position 210 of the sensor unit measured by the sensor unit 100 and the head and neck facial expression change information 162 obtained by the imaging sensor 160, the data converter 300 may include an object head and neck unit. The first basis data 211 is generated among the data 320. The data matching unit 600 may match the head and neck data to one or more objects 20 of the head and neck 21 and the head and neck 22 of the image object based on the first basis data 211. Static base coordinates 611 are generated and matched out of 610.

In addition, based on the utterance feature 220 of the speaker 10 measured by the sensor unit 100, the change information 161 of the articulation organ obtained by the imaging sensor 160, and the head and neck facial expression change information 162. The data converter 300 generates second basis data 221 of the head and neck data 320. The data matching unit 600 may change the dynamic movement of the head and neck part that changes as one or more objects 20 of the head and neck part 21 of the image object and the head and neck part 22 of the robot object ignite based on the second basis data 221. Dynamic variable coordinates 621 are generated and matched for implementation.

52 is a diagram illustrating a case in which the speech intent representation system according to the fifth embodiment of the present invention matches object head and neck data to the head and neck of an image object based on static basic coordinates, and FIG. 53 is a fifth embodiment of the present invention. FIG. 3 is a diagram illustrating static basic coordinates based on a position of a face sensor utilized by a speech intention representation system according to an example. FIG.

52 and 53, the position of the face sensor 120 attached to the head and neck portion of the speaker in order for the data matching unit 600 to match the head and neck data 320 to the head and neck portion 21 of the image object. The first basis data 211 is used to generate the static basis coordinates 611.

In this case, as described above, the position of the face sensor 120 is detected by using the potential difference. The reference sensor 121, the anode sensor 122, and the cathode sensor 123 of the face sensor 120 attached in the speaker's non-ignition state have a reference position equal to (0.0), respectively. This position is the static basic coordinates 611.

FIG. 54 illustrates a case in which the speech intent representation system according to the fifth embodiment of the present invention matches object head and neck data to the head and neck of an image object based on dynamic basic coordinates, and FIG. 55 is a fifth embodiment of the present invention. FIG. 4 is a diagram illustrating dynamic basic coordinates based on a voltage difference of a face sensor utilized by a speech intent representation system according to an example. FIG.

54 and 55, the data matching unit 600 is attached to the head and neck of the speaker to match the object head and neck data 320 to the head and neck 21 of the image object, and thus the head and neck muscles according to the speaker's speech. The dynamic variable coordinates 621 are generated using the second basis data 221 which is the potential difference of the face sensor 120 by the operation of.

At this time, as described above, the face sensor 120 measures the electromyography of the head and neck moving in accordance with the utterance of the speaker to determine the physical characteristics of the head and neck articulation. The reference sensor 121, the positive electrode 122, and the negative electrode sensor 123 of the face sensor 120 attached in the speaker's ignition state detect the EMG of the head and neck muscles that change according to the utterance, respectively (0, -1). ), (-1, -1), and (1, -1)). This position becomes the dynamic variable coordinate 621.

FIG. 56 illustrates a case in which the speech intent expression system according to the fifth embodiment of the present invention matches object head and neck data to an actuator of a head and neck part of a robot object based on static basic coordinates, and FIG. 57 is a view illustrating an embodiment of the present invention. 5 is a diagram illustrating static basic coordinates based on a voltage difference of a face sensor utilized by a speech intent representation system according to an exemplary embodiment.

56 and 57, a face sensor attached to the head and neck of the speaker in order for the data matching unit 600 to match the head and neck neck data 320 to the actuator 30 of the head and neck 22 of the robot object. The static basis coordinates 611 are generated using the first basis data 211, which is the position of 120.

In this case, as described above, the position of the face sensor 120 is detected by using the potential difference. The reference sensor 121, the anode sensor 122, and the cathode sensor 123 of the face sensor 120 attached in the speaker's non-ignition state are respectively (0.0) in the actuator 30 of the head and neck portion 22 of the robot object. It will have the same reference position as This position is the static basic coordinates 611.

FIG. 58 illustrates a case in which the speech intent representation system according to the fifth embodiment of the present invention matches object head and neck data to an actuator of the head and neck portion of a robot object based on dynamic variable coordinates, and FIG. 59 is a view illustrating an embodiment of the present invention. FIG. 5 is a diagram illustrating dynamic variable coordinates based on a voltage difference of a face sensor utilized by a speech intention expression system according to an exemplary embodiment.

58 and 59, the data matching unit 600 is attached to the head and neck of the speaker to match the object head and neck data 320 to the actuator 30 of the head and neck 22 of the robot object. The dynamic variable coordinates 621 are generated using the second basis data 221 which is the potential difference of the face sensor 120 caused by the action of the head and neck muscles due to the utterance.

At this time, as described above, the face sensor 120 measures the electromyography of the head and neck moving in accordance with the utterance of the speaker to determine the physical characteristics of the head and neck articulation. The reference sensor 121, the anode sensor 122, and the cathode sensor 123 of the face sensor 120 attached in the speaker's ignition state grasp the EMG of the head and neck muscles that change according to the utterance, and thus, the head and neck ( The actuator 30 of 22) has variable positions such as (0, -1), (-1, -1), and (1, -1), respectively, to move accordingly. This position becomes the dynamic variable coordinate 621.

60 and 61 are views showing the operation of the actuator of the head and neck portion of the robot object of the speech intent representation system according to the fifth embodiment of the present invention, Figure 62 is a speech intent representation according to a fifth embodiment of the present invention It is a figure which shows the actuator of the head and neck of the robot object of a system.

As illustrated in FIG. 60, at least one actuator of the head and neck portion 22 of the robot object may be used by the data matching unit 600 to obtain the object head and neck data 310 obtained from the data interpreter 200 and the data converter 300. 30), and the actuator 30 is an artificial musculoskeletal structure of the head and neck portion 22 of the robot object, and may be driven by a motor including a DC motor, a step motor, and a servo motor, and may be pneumatic or hydraulic. Can be protruded and embedded and operated in a manner. Through this, the actuator 30 may implement various dynamic movements of one or more of articulation, speech, and facial expression of the head and neck part 22 of the robot object.

As shown in FIG. 61, the actuator 30 may be driven by a motor including a DC motor, a step motor, and a servo motor, and operated in a pneumatic or hydraulic manner, thereby allowing contraction or relaxation in tension. It is characterized by.

As shown in FIG. 62, the actuator 30 may be located at the head and neck 22 of the robot object.

In addition to the method described in the drawings, the sensor unit 100 may include the following.

1. Pressure sensor: MEMS sensor, Piezoelectric method, Piezoresistive method, Capacitive method, Pressure sensitive rubber method, Force sensing resistor (FSR) method, Inner particle deformation method, Buckling measurement method.

2. Friction sensor: Micro hair array method, friction temperature measurement method.

3. Electrostatic sensor: electrostatic consumption, electrostatic generation.

4. Electric resistance sensor: DC resistance measurement method, AC resistance measurement method, MEMS, Lateral electrode array method, Layered electrode method, Field Effect Transistor (FET) method (Organic-FET, Metal-oxide-semiconductor-FET, Piezoelectric-oxide) -semiconductor -FET etc.).

5. Tunnel Effect Tactile Sensor: Quantum tunnel composites, Electron tunneling, Electroluminescent light.

6. Thermal resistance sensor: thermal conductivity measurement method, thermoelectric method.

7. Optical sensor: light intensity measurement, refractive index measurement.

8. Magnetism based sensor: Hall-effect measurement method, Magnetic flux measurement method.

9. Ultrasonic based sensor: Acoustic resonance frequency method, Surface noise method, Ultrasonic emission measurement method.

10. Soft material sensors: rubber, powder, porous materials, sponges, hydrogels, aerogels, carbon fibers, nanocarbon materials, carbon nanotubes, graphene, graphite, composites, nanocomposites, metal-polymer composites, ceramic-polymer composites Pressure, stress, or strain measurement method using materials such as conductive polymers, Stimuli responsive method.

11. Piezoelectric sensor: Ceramic materials such as quartz, lead zirconate titanate (PZT), polymer materials such as PVDF, PVDF copolymers, and PVDF-TrFE, and nanomaterials such as cellulose and ZnO nanowires.

Claims

A sensor unit measuring physical characteristics of the articulation engine adjacent to one surface of the head and neck of the speaker;

A data analysis unit which grasps a utterance characteristic of a speaker based on the position of the sensor unit and the physical characteristics of the articulator;

A data converting unit converting the position of the sensor unit and the speech feature into language data;

Data expression unit for expressing the language data to the outside

Including,

The sensor unit, corresponding to the oral cavity Speaking intention expression system including oral tongue sensor.
The method of claim 1,

The oral cavity sensor,

Fixed to one side of the oral tongue, or wrapped around the surface of the oral tongue, or inserted into the oral tongue,

By grasping the amount of change in the amount of vector over time based on the x-axis, y-axis, and z-axis direction of the oral tongue according to the utterance, the low altitude, front and rear tongue, flexion, extension, rotation, tension, contraction of the oral tongue A speech intent expression system for grasping at least one physical property among the degree of relaxation, relaxation and vibration.
The method of claim 1,

The oral cavity sensor,

Fixed to one side of the oral tongue, or wrapped around the surface of the oral tongue, or inserted into the oral tongue,

A speech intent expression system that grasps the amount of change in the angle of rotation per unit time based on the x-, y-, and z-axis directions of the oral tongue according to the utterance, and grasps the physical characteristics of the articulation organ including the oral tongue.
The method of claim 1,

The oral cavity sensor,

Adhere to one side of the oral tongue, or surround the surface of the oral tongue,

The degree of bending of the oral tongue by grasping the degree of bending of the oral tongue through a piezoelectric element that generates an electrical signal corresponding to the polarization due to the change in crystal structure according to the physical force generated by the contraction and relaxation of the oral tongue due to the ignition A utterance intent expression system that grasps at least one physical property of low altitude, front and rear, stiffness, extension, rotation, tension, contraction, relaxation and vibration.
The method of claim 1,

The sensor unit, at least one of the degree of rupture, friction, resonance, approach according to the triboelectric generator corresponding to the contact and contact caused by the oral cavity due to interaction with other articulators inside and outside the head and neck A ignition intention expression system including a triboelectric charging element for grasping the physical characteristics.
The method of claim 1,

The data interpreter may include at least one of a consonant vowel, lexical stress, and sentence stress that are spoken by the speaker through physical characteristics of the oral puncture measured by the sensor and another articulation organ. Speaking intent expression system to grasp utterance characteristics.
The method of claim 6,

The data analysis unit, in grasping the speech characteristics by the physical characteristics of the articulation engine measured by the sensor unit, pronunciation and stress of the speaker based on a standard speech characteristic matrix composed of numerical values including binary or real number A speech intent expression system for measuring a speech characteristic of at least one of noon, pseudo-proximity, and speech intent.
The method of claim 7, wherein

The data interpreter may recognize physical characteristics of the articulation organ as measured by the sensor unit, and recognize the physical characteristics of the articulation organ as patterns of each consonant unit. Extracting a feature of the image, classifying the extracted feature of the pattern of the consonant unit according to similarity, recombining the feature of the pattern of the classified consonant unit, and physical properties of the articulation organ as the speech feature. A speech intent expression system for identifying the speech characteristics according to the interpreting step.
The method of claim 7, wherein

The data analysis unit, according to the physical characteristics of the articulation organ measured by the sensor unit, assimilation, dissimilation, elimination, attachment, stress and stress of consonants, Asperation, Syllable cosonant, Flapping, Tenseification, Labalization, Velarization, Dentalizatiom caused by Reduction A speech intent expression system for measuring speech variation, which is at least one secondary symptom among palatalization, nasalization, stress shift, and lentthening.
The method of claim 1,

The oral tongue sensor, the circuit part for the sensor operation, the capsule portion surrounding the circuit portion, the mouth intention expression system comprising an adhesive portion attached to one side of the oral tongue.
The method of claim 10,

And the oral tongue sensor is a film having a thin film circuit and operates adjacent to the oral tongue.
The method of claim 1,

The sensor unit includes at least one reference sensor for generating a reference potential for measuring nerve signals of the head and neck muscles, at least one anode sensor and at least one cathode sensor for measuring nerve signals of the head and neck muscles. Speaking intention expression system including a face sensor.
The method of claim 12,

The data analysis unit, in acquiring a position of the sensor unit based on the face unit sensor, detects a potential difference between the at least one anode sensor and the at least one cathode sensor based on the reference sensor to locate the face unit sensor. Speech intent representation system to grasp.
The method of claim 12,

The data analysis unit, in acquiring the utterance characteristic of the speaker based on the face part sensor, grasps the potential difference between the at least one anode sensor and the at least one cathode sensor based on the reference sensor, and the head and neck part of the speaker. Speaking intention expression system for grasping utterance characteristics by the physical characteristics of the articulation engine generated in the.
The method of claim 1,

The sensor unit, the vocal intention including a vocal cord sensor to grasp the EMG or tremor of the vocal cords adjacent to the vocal cords of the head and neck of the speaker, to grasp at least one of the utterance history information of the utterance start, ignition stop, utterance Expression system.
The method of claim 1,

The sensor unit, a speech intention expression system including a tooth sensor to determine the signal generation position according to the change in the electrical capacity generated due to the contact between the oral tongue and the lower lip adjacent to one surface of the tooth.
The method of claim 1,

And the data analysis unit acquires a voice of the speaker according to the utterance through a voice acquisition sensor adjacent to one surface of the head and neck of the speaker.
The method of claim 1,

The sensor unit, change information of the head and neck articulator of the speaker, Speaking intention expression including an imaging sensor for capturing at least one of the head and neck facial expression change information, the non-verbal representation of the head, neck, chest, upper limbs, and lower extremities moving in accordance with the speaker's intention to ignite system.
The method of claim 1,

And a power supply unit for supplying power to at least one of a mouth sensor, a face sensor, a voice acquisition sensor, a vocal cord sensor, a dental sensor, and an imaging sensor of the sensor unit.
The method of claim 1,

Speaking intention expression system further comprises a wired or wireless communication unit that can communicate in communication with the data analysis unit and the database unit is located outside.
The method of claim 1,

The data analysis unit includes at least one language data index corresponding to the position of the sensor unit, the speaker's speech characteristics, and the speaker's voice. Speaking intent expression system linked with the database unit.
The method of claim 21,

The database unit may include at least one of information about a progression time of speech, frequency according to speech, amplitude of speech, electromyography of head and neck muscles according to speech, position change of head and neck muscles according to speech, positional change due to bending and rotation of oral tongue A speech intent representation system constituting at least one language data index of a phoneme index, syllable unit index, word unit index, phrase unit index, sentence unit index, continuous speech unit index, and high and low index of pronunciation based on a consonant .
The method of claim 1,

The data expression unit is interlocked with the language data index of the database unit, so that the speaker's utterance characteristics are included in a phoneme unit, at least one word unit, at least one phrase unit, and at least one sentence unit of a consonant. A speech intent expression system representing at least one speech expression of a unit or a continuous speech unit.
The method of claim 23, wherein

The speech expression represented by the data expression unit is visualized as at least one of a letter symbol, a picture, a special symbol, and a number, or is audible in a sound form and provided to the speaker and the listener.
The method of claim 23, wherein

The speech expression represented by the data expression unit is provided to the speaker and the listener in a tactile manner of at least one of vibration, snoozing, tapping, pressing, and relaxing.
The method of claim 1,

The data conversion unit converts the position of the sensor unit and the head and neck facial expression change information into first basis data, and converts the utterance feature, the change information of the articulation organ and the head and neck facial expression change information into second basis data, and an image object. A speech intent expression system that generates object head and neck data required for at least one of the head and neck of the head and neck of the robot object.
The method of claim 26,

In expressing the head and neck data processed by the data analyzer to the head and neck of the image object or the head and neck of the robot object, the static basis coordinates are set based on the first basis data of the data converter and the second basis data is set. Speaking intention expression system further comprising a data matching unit for generating a matching position by setting the dynamic variable coordinates based on.
The method of claim 27,

The head and neck data is transmitted to an actuator located on one surface of the head and neck of the robot object by the data matching unit, and the actuator moves at least one of articulation, speech, and facial expression according to the head and neck data. Speech intent representation system to implement.