Speech training method based on statement playing

Abstract

The invention discloses a speech training method based on statement playing. The speech training method is realized through the following steps: S1, starting speech training software; s2, selecting a speech training item; s3, selecting a test corpus; s4, selecting a test ear type; s5, setting the sound intensity; s6, the subject wears a sound playing device and prepares to start testing; s7, a play button is clicked, and the test statement is played; and S8, the subject makes a response in a response area of the touch display screen according to the heard statement. According to the method, scores and charts of speech intelligibility and speech recognition rate of a subject can be obtained, whether hearing impairment exists in hearing of the subject can be verified through the result, then a training statement library can be obtained according to the test result, and intensive training can be performed by calling the training statement library, so that the training efficiency is improved. The intensified training is based on characters and words which are not heard clearly during testing, then some training statements are automatically generated, the pertinence is very high, and the training effect is optimal.

Description

Technical Field

[0001] The invention belongs to the technical field of auditory monitoring, and in particular relates to a speech training method based on sentence playback. Background Art

[0002] Speech testing and training are showing increasing benefits in daily life, especially for older adults, which can optimize individual hearing, reduce communication barriers, and delay Alzheimer's disease.

[0003] There are speech testing methods or systems in existing hearing test systems, but their purpose is generally to obtain hearing data such as the subject's hearing threshold, and then to fit and select hearing aids. There is no method or system on the market that can perform speech training by playing test sentences. Summary of the Invention

[0004] The purpose of the present invention is to provide a speech training method based on sentence playback to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: a speech training method based on sentence playback, which is performed based on a speech training system, and the speech training system at least includes:

[0006] Host computer, with speech training software installed;

[0007] A test device connected to the host;

[0008] a sound playing device connected to the testing device;

[0009] A display device connected to the host;

[0010] The testing device includes a controller and a memory connected to the controller, wherein a corpus is formed in the memory;

[0011] The display device includes at least a touch screen display, and the touch screen display includes at least a response area for the subject to respond;

[0012] The speech training method is implemented through the following steps:

[0013] S1. Start the speech training software;

[0014] S2. Select a speech training program;

[0015] S3. Select test corpus;

[0016] S4. Select the test ear. The test ears include left ear, right ear, and both ears.

[0017] S5. Set the sound loudness;

[0018] S6. The subject wears the sound playback device and prepares to begin the test;

[0019] S7. Click the play button to play the test statement;

[0020] S8. The subject responds in the answer area of the touch screen according to the sentence he hears;

[0021] In step S8, the answer area displays the currently played test sentence, and each word constituting the test sentence is arranged in sequence and spaced apart;

[0022] Response means that the subject clicks on the words that can be heard clearly in the response area, and no feedback is given for words that cannot be heard clearly or are uncertain.

[0023] The present invention provides a speech training method based on sentence playback. The method is applicable to everyone. Through testing, the scores and charts of the subject's speech intelligibility and speech recognition rate can be obtained. Through this result, it can be verified whether the subject's hearing is actually hearing impaired. Then, a training sentence library can be obtained based on this test result. By calling this training sentence library, intensive training can be carried out. The intensive training is based on those words and phrases that are not clearly heard during the test, and then some training sentences are automatically generated. It is highly targeted and has the best training effect.

[0024] In some embodiments, in step S8, the answer area will display multiple test sentences simultaneously, with each word of the currently playing test sentence filled with a background color, while other test sentences have no background color;

[0025] When the test sentence is played, the background color of each word in the current test sentence is one of the colors. When the subject clicks on a word in the test sentence, the background color of the word changes to another color.

[0026] In some embodiments, after step S8, the method further includes:

[0027] S9a, after the subject responds to the current test sentence, he / she clicks OK, and the first coordinate point is marked on the two-dimensional graph displayed above or to the side of the response area;

[0028] In this step, the horizontal axis of the two-dimensional graph is the loudness of the sound, and the vertical axis is the accuracy.

[0029] In some embodiments, after step S9a, the method further includes:

[0030] S10. Repeat steps S7-S9 to complete the test of multiple test statements and continuously update the position of the first coordinate point;

[0031] In some embodiments, after step S9a, the method further includes:

[0032] S11, change the sound loudness;

[0033] S12. Repeat the above steps S7-S9 to obtain the second coordinate point, the third coordinate point, and the nth coordinate point.

[0034] In some implementations, after step S12, the method further includes:

[0035] S13, storing all unclear words during the test in a memory to form a training corpus;

[0036] S14. Perform reinforcement training by playing training sentences in the training corpus.

[0037] In some embodiments, in step S2, the speech audiometry items include at least three types: perception threshold, recognition threshold, and recognition rate; in step S3, the test corpus includes Mandarin test corpus and dialect test corpus, and the dialect test corpus includes at least Chongqing dialect test corpus, Hainan dialect test corpus, Cantonese test corpus, Sichuan dialect test corpus, and Zhumadian dialect test corpus.

[0038] In some embodiments, in step S5, the loudness of the voice is set and changed through a loudness control area, which is located to the side of the response area. The loudness control area includes at least a test ear selection button, a stepping gear button, a decibel increase button, and a decibel decrease button.

[0039] The step-shift buttons include at least three types: 1dB, 2dB, and 5dB.

[0040] In some embodiments, the testing device further comprises a counter, a timer, and a calibration corrector connected to the controller;

[0041] The counter can at least be used to record the number of responses of the subject;

[0042] The timer can at least be used to record the duration of the subject's response;

[0043] The calibration corrector is at least able to calibrate the test materials within the corpus according to the subjects' responses;

[0044] After step S8, the method further includes:

[0045] S9b, the counter records the number of responses, and the timer records the response time. These data can be transmitted to the host, and the host can generate a chart based on these data;

[0046] The chart can at least be used to present information about unclear words in the test sentence, including position information, frequency, loudness, number of responses, and response time of the unclear words.

[0047] In some embodiments, the speech training system also includes a microphone, which is electrically connected to the controller. The microphone is used to record the sound emitted by the subject himself. Under the action of the controller and the host, the sound emitted by the subject himself picked up by the microphone can be processed and stored in the corpus of the memory as an independent test material. Under the control of the host, the test material can be called for testing and the subject can respond.

[0048] Beneficial effects of the present invention:

[0049] 1. The present invention provides a new speech training method. Its working process mainly involves playing test sentences from a set of test materials, allowing the subject to autonomously select single words that can be heard clearly through the response area based on the test sentences heard. The host analyzes the information of the unclear single words and displays them in the form of graphs and stores all the data. The unclear single words form a training corpus as the basis for subsequent speech training. Since the data obtained are all obtained based on the subject's autonomous responses, they are highly accurate and can maximize the subject's own auditory characteristics, and have strong reference and application value.

[0050] 2. Secondly, a dialect mode has been set up. Test subjects can choose to take the test in their dialect. Users can also choose the dialect mode. In this mode, dialect test materials in the corpus will be used, that is, test sentences will be output in the dialect. This mode is suitable for older users or those who are often in a dialect language environment, which greatly improves test efficiency and accuracy.

[0051] 3. The present invention provides a speech training method based on sentence playback. The method is applicable to everyone. Through testing, the subject's speech intelligibility and speech recognition rate scores and charts can be obtained. Through this result, it can be verified whether the subject has a real hearing impairment. Then, a training sentence library can be obtained based on the test result. By calling this training sentence library, intensive training can be carried out. The intensive training is based on those words and phrases that are not clearly heard during the test, and then some training sentences are automatically generated. It has strong pertinence and the best training effect, and can achieve the technical effects of optimizing personal hearing, reducing communication barriers and delaying Alzheimer's disease. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 This is a simplified system framework diagram of the speech training system according to embodiment 1 of the present invention.

[0053] Figure 2It is one of the interactive interfaces of the speech training software displayed on the display device of the present invention.

[0054] Figure 3 This is the second interactive interface of the speech training software displayed on the display device of the present invention.

[0055] Figure 4 This is the third interactive interface of the speech training software displayed on the display device of the present invention.

[0056] Figure 5 This is a simplified system framework diagram of the speech training system according to embodiment 2 of the present invention.

[0057] In the figure: 1-host; 2-test device; 3-sound playback device; 4-display device; 5-microphone; 21-controller; 22-memory; 23-counter; 24-timer; 25-calibration corrector; 26-PCBA mainboard; 41-touch screen; 221-corpus. DETAILED DESCRIPTION

[0058] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0059] Example 1

[0060] See also Figure 1-Figure 4 As shown, the present invention provides the following technical solutions:

[0061] A speech training method based on sentence playback is performed based on a speech training system, which at least includes:

[0062] Host 1, with speech training software installed;

[0063] Testing device 2, connected to host 1;

[0064] The sound playing device 3 is connected to the testing device 2;

[0065] A display device 4 connected to the host 1;

[0066] The testing device 2 includes a controller 21 and a memory 22 connected to the controller 21 , wherein a corpus 221 is formed in the memory 22 ;

[0067] The display device 4 includes at least a touch screen 41, and the touch screen 41 includes at least a response area for the subject to respond;

[0068] Preferably, the testing device 2 further includes a counter 23, a timer 24 and a calibration corrector 25 connected to the controller 21;

[0069] The counter 23 can at least be used to record the number of responses of the subject;

[0070] The timer 24 can at least be used to record the response duration of the subject;

[0071] The calibration corrector 25 is capable of at least calibrating the test materials in the corpus 221 according to the subject's response;

[0072] Preferably, the sound playback device 34 of this embodiment is an earphone or a hearing aid. The earphone is suitable for subjects with normal hearing, and the hearing aid is suitable for subjects with hearing impairment.

[0073] As further preferred, the sound playback device 34 is a headset or hearing aid with Bluetooth function. It is wirelessly connected to the Bluetooth module of the host 1. Thus, the subject can move freely during the training process without restriction.

[0074] Preferably, the host 1 of this embodiment is a computer host 1, the display device 4 is a touch screen display connected to the host 1 via a wired connection, and the test device 2 can be an independent device or integrated on a circuit board of the host 1, sharing a housing and motherboard with the host 1. The test device 2 of this embodiment is integrated on a circuit board of the host 1, sharing a housing and motherboard with the host 1.

[0075] Preferably, the speech training system of this embodiment further includes a microphone 5. Microphone 5 is electrically connected to controller 21 and is used to record the subject's own voice. Under the control of controller 21 and host 1, the subject's own voice picked up by microphone 5 is processed and stored as independent test material in corpus 221 of memory 22. Under the control of host 1, this test material can be called up for testing and the subject can respond. This allows for the updating and replenishment of corpus 221. Furthermore, this test material is generated through self-recording, self-playing, and self-testing by the subject, further improving the accuracy and reference value of the test results.

[0076] The speech training method based on sentence playback of the present invention is achieved by the following steps:

[0077] S1. Start the speech training software;

[0078] S2. Select speech training items. Speech audiometry items should include at least three types: perception threshold, recognition threshold, and recognition rate.

[0079] S3. Select test corpora, where the test corpora include Mandarin test corpora and dialect test corpora, and the dialect test corpora include at least Chongqing dialect test corpora, Hainan dialect test corpora, Cantonese test corpora, Sichuan dialect test corpora, and Zhumadian dialect test corpora;

[0080] S4. Select the test ear. The test ears include left ear, right ear, and both ears.

[0081] S5. Set the sound loudness;

[0082] In this step, the sound loudness is set through the sound loudness control area, which is set to the side of the answering area. The sound loudness control area is provided with at least a test ear selection button (left ear, right ear, and both ears), a stepping gear button, a decibel increase button, and a decibel decrease button.

[0083] The step-shift buttons include at least three types: 1dB, 2dB, and 5dB.

[0084] S6. The subject wears the sound playback device 3 and prepares to start the test;

[0085] S7. Click the play button to play the test statement;

[0086] S8. The subject responds in the response area of the touch screen 41 according to the sentence heard;

[0087] In step S8, the answer area displays the currently played test sentence, and each word constituting the test sentence is arranged in sequence and spaced apart;

[0088] Response means that the subject clicks on the words that can be heard clearly in the response area, and no feedback is given for words that cannot be heard clearly or are uncertain.

[0089] In step S8, the answer area will display multiple test sentences at the same time, with each word of the currently playing test sentence filled with a background color, while other test sentences will have no background color;

[0090] When the test sentence is played, the background color of each word in the current test sentence is one of the colors. When the subject clicks on a word in the test sentence, the background color of the word changes to another color.

[0091] After step S8, the method further includes:

[0092] S9a, after the subject responds to the current test sentence, he / she clicks OK, and the first coordinate point is marked on the two-dimensional graph displayed above or to the side of the response area;

[0093] In this step, the horizontal axis of the two-dimensional graph is the loudness of the sound, and the vertical axis is the accuracy.

[0094] After step S8, the method further includes:

[0095] S9b, the counter 23 records the number of responses, and the timer 24 records the response duration. These data can be transmitted to the host 1, and the host 1 can generate a chart based on these data;

[0096] After step S9a or S9b, the method further includes:

[0097] S10. Repeat the above steps S7-S9a or S7-S9b to complete the test of multiple test statements and continuously update the position of the first coordinate point;

[0098] After step S9a or S9b, the method further includes:

[0099] S11, change the sound loudness;

[0100] In this step, the sound loudness is changed through the sound loudness control area. Specifically: first select the step value through the step gear button, and then use the increase decibel button and decrease decibel button to adjust the sound loudness.

[0101] S12. Repeat the above steps S7-S9a or S7-S9b to obtain the second coordinate point, the third coordinate point, and the nth coordinate point.

[0102] After step S12, the method further includes:

[0103] S13, all the individual words that cannot be heard clearly in the test process are stored in the memory 22, and form a training corpus;

[0104] S14, performing intensive training by playing training sentences in the training corpus;

[0105] In this step, the specific steps and methods of the intensive training are exactly the same as those of the above steps S2-S8, and will not be explained in detail here.

[0106] In step S9b, the chart can at least be used to present information about unclear words in the test sentence, including position information, frequency, loudness, number of responses, and response duration of the unclear words.

[0107] The chart includes a two-dimensional coordinate graph, wherein the abscissa of the two-dimensional coordinate graph is frequency and the ordinate is loudness.

[0108] like Figure 2 As shown, the chart also includes a table showing all test sentences and all the words corresponding to the test sentences. In the table, unclear words are displayed in different colors. The data corresponding to the words marked with different colors are displayed on a two-dimensional coordinate graph. In this way, the position of the unclear words in the test sentences can be intuitively seen.

[0109] The syllable and tone corresponding to each word will be displayed synchronously below the word. The syllables and tones corresponding to unclear words will also be displayed in different colors. Syllables are composed of phonemes.

[0110] like Figure 3 As shown, the chart also includes a three-dimensional chart, and two-dimensional coordinate charts without dates can be integrated to form a three-dimensional chart.

[0111] like Figure 4 As shown, the chart also includes a bar graph, the horizontal axis of the bar graph is frequency, and the vertical axis is response time. There are two items in the bar graph, one is the total response time of a test process (including multiple test sentences) (that is, the total response time of all unclear words at a certain frequency), and the other is the average response time (that is, the average response time of all unclear words at a certain frequency).

[0112] The following is a further explanation using the case where the sound playback device 3 is a hearing aid. The speech training method based on sentence playback of the present invention is implemented by the following steps:

[0113] S0, connecting the host 1 and the display device 4 and turning them on;

[0114] S1. Double-click to open the speech assessment software on the touch screen and enter the software homepage interface;

[0115] S1a. Click the "Settings" button on the interface, then click the "Connect" button to connect the host 1 to the hearing aid wirelessly, and ensure that both the left and right earphones of the hearing aid are connected successfully;

[0116] S1b. Click the "Dialect Settings" button and select the test dialect (for example, Chongqing dialect).

[0117] S1c, select subjects;

[0118] In this step, the basic information of the subjects can be pre-entered into the software;

[0119] S1d, click the “Speech Assessment” button;

[0120] S2. Select a speech training item and choose one of the speech training items (e.g., recognition rate) to test;

[0121] S3. Select test corpus: Select the test corpus you want to conduct on this interface, for example, select: Mandarin;

[0122] S4. Select the test ear: for example, select: both ears;

[0123] S5. Set the sound loudness, for example 40dB;

[0124] S6. The subject wears a hearing aid and gets ready to start the test;

[0125] S7. Click the play button to play the test sentence;

[0126] S8. The subject makes a response in the response area of the touch display screen 41 according to the heard sentence;

[0127] As Figure 2 shown, in this step, the response area of the display screen shows the currently played test sentence (for example, the current test sentence is "The TV is placed opposite the sofa"), and each single character constituting this test sentence is sequentially and spaced apart.

[0128] In this step, the response means clicking on the single characters that can be clearly heard in the corresponding area (for example, the single characters "sofa", "opposite" can be clearly heard), and no feedback is given for the single characters that cannot be clearly heard or are uncertain;

[0129] When playing, the background color of the test sentence is red. When the subject clicks on a single character in the test sentence, the background color of this single character changes from red to another color (such as green). In this way, the characters with a green display in the response area represent that the subject can hear clearly, while the unchanged single characters cannot be heard clearly.

[0130] S9a. After the test sentence response is completed, click OK. At this time, a coordinate point will be marked correspondingly in the two-dimensional graph. The abscissa is the test loudness (40 dB), and the ordinate is the correct rate (50%);

[0131] After this step, it is possible to choose to continue training at this sound loudness. Click the play button for the next test sentence, that is, enter step S10. It is also possible to choose to change the sound loudness and enter step S11. In this embodiment, taking entering step S11 with the sound loudness as an example;

[0132] S11. By selecting the step gear button with a step value of 5 dB and clicking the increase decibel button twice, the currently played sound is adjusted to 50 dB, and then the next test is carried out. Repeat the above steps S11 - S13. For example: the played test sentence is "Do you want to drink some water?", and the single characters that the subject can hear clearly are "drink", "some", "water". After completing the second coordinate point, the abscissa is the test loudness (50 dB), and the ordinate is the correct rate (50%);

[0133] Similarly, the third coordinate point, the fourth coordinate point, the nth coordinate point, etc. are obtained in sequence.

[0134] The advantages of the speech training method based on sentence playback of the present invention compared with the prior art are:

[0135] 1. The present invention provides a new speech training method. The working process is mainly to play a set of test sentences in a test material, and let the subject autonomously select the single words that can be heard clearly through the response area according to the test sentences heard. The host 1 analyzes the information of the unclear single words and displays it in the form of a graph and stores all the data. The unclear single words form a training corpus as the basis for subsequent speech training. Since the data obtained are all obtained based on the subject's autonomous response, they are highly accurate and can maximize the auditory characteristics of the subject itself, and have strong reference and application value.

[0136] 2. Secondly, a dialect mode is set up. Test subjects can choose to take the test in dialect. Users can choose the dialect mode to take the test. In this mode, the dialect test materials in the corpus 221 will be used, that is, the test sentences will be output in the dialect. This mode is suitable for users who are older or often in a dialect language environment, which greatly improves the test efficiency and accuracy.

[0137] 3. The present invention provides a speech training method based on sentence playback. The method is applicable to everyone. Through testing, the subject's speech intelligibility and speech recognition rate scores and charts can be obtained. Through this result, it can be verified whether the subject has a real hearing impairment. Then, a training sentence library can be obtained based on the test result. By calling this training sentence library, intensive training can be carried out. The intensive training is based on those words and phrases that are not clearly heard during the test, and then some training sentences are automatically generated. It has strong pertinence and the best training effect, and can achieve the technical effects of optimizing personal hearing, reducing communication barriers and delaying Alzheimer's disease.

[0138] Example 2

[0139] See also Figure 5 As shown, the structure of this embodiment is basically the same as that of embodiment 1, with the difference being that the testing device 2 is an independent device.

[0140] like Figure 5 As shown, the test device 2 of this embodiment also includes a PCBA mainboard 26, on which the controller 21, memory 22, counter 23, timer 24, and calibration corrector 25 are integrated. The input port of the PCBA mainboard 26 is connected to the host 1 to receive and record response data, and the output port is connected to the sound playback device 3 to output the test sentence audio signal at a standard sound pressure.

[0141] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A speech training method based on sentence playback, based on a speech training system, characterized in that: The speech training system at least includes: A host computer (1) is installed with speech training software; A testing device (2) connected to the host (1); A sound playing device (3) connected to the testing device (3); A display device (4) connected to the host (1); The testing device (2) includes a controller (21) and a memory (22) connected to the controller (21), wherein a corpus (221) is formed in the memory (22); The display device (4) at least includes a touch screen (41), and the touch screen (41) at least includes a response area for the subject to respond; The speech training method is achieved by the following steps: S1. Start the speech training software; S2. Select a speech training program; S3. Select test corpus; S4. Select the test ear. The test ears include left ear, right ear, and both ears. S5. Set the sound loudness; S6. The subject wears the sound playback device (3) and is ready to start the test; S7. Click the play button to play the test statement; S8. The subject responds in the answer area of the touch screen (41) according to the sentence heard; In this step, the answer area displays the currently played test sentence, and each word constituting the test sentence is arranged in sequence and at intervals; The response refers to the subject clicking on the words that can be heard clearly in the response area, and no feedback is given for the words that cannot be heard clearly or are uncertain.

2. The speech training method based on sentence playback according to claim 1, characterized in that In step S8, the answer area will display multiple test sentences at the same time, with each word of the currently playing test sentence filled with a background color, while other test sentences have no background color; When playing the test sentence, the background color of each word in the current test sentence is one of the colors. When the subject clicks on a word in the current test sentence, the background color of the word changes to another color.

3. The speech training method based on sentence playback according to claim 1, characterized in that After step S8, the method further includes: S9a, after the subject responds to the current test sentence, he / she clicks OK, and the first coordinate point is marked on the two-dimensional graph displayed above or to the side of the response area; In this step, the horizontal axis of the two-dimensional graph is the loudness of the sound, and the vertical axis is the accuracy.

4. The speech training method based on sentence playback according to claim 3, characterized in that After step S9a, the method further includes: S10. Repeat the above steps S7-S9a to complete the testing of multiple test statements and continuously update the position of the first coordinate point.

5. The speech training method based on sentence playback according to claim 3, characterized in that: After step S9a, the method further includes: S11, change the sound loudness; S12. Repeat the above steps S7-S9a to obtain the second coordinate point, the third coordinate point, and the nth coordinate point.

6. The speech training method based on sentence playback according to claim 5, characterized in that: After step S12, the method further includes: S13, storing all unclear words during the test in a memory (22) to form a training corpus; S14. Perform reinforcement training by playing training sentences in the training corpus.

7. The speech training method based on sentence playback according to claim 1, characterized in that: In step S2, the speech audiometry items include at least three types: perception threshold, recognition threshold and recognition rate. In step S3, the test corpus includes Mandarin test corpus and dialect test corpus, and the dialect test corpus includes at least Chongqing dialect test corpus, Hainan dialect test corpus, Cantonese test corpus, Sichuan dialect test corpus and Zhumadian dialect test corpus.

8. The speech training method based on sentence playback according to claim 1, characterized in that: In step S5, the loudness of the voice is set and changed through the loudness control area, which is located to the side of the answering area. The loudness control area includes at least a test ear selection button, a stepping gear button, a decibel increase button, and a decibel decrease button. The stepping gear buttons include at least three types: 1dB, 2dB, and 5dB.

9. The speech training method based on sentence playback according to claim 1, characterized in that: The testing device (2) further includes a counter (23), a timer (24) and a calibration corrector (25) connected to the controller (21); The counter (23) can at least be used to record the number of responses of the subject; The timer (24) can at least be used to record the response duration of the subject; The calibration corrector is at least capable of calibrating the test materials in the corpus (221) according to the subject's response; After step S8, the method further includes: S9b, the counter (23) records the number of responses, and the timer (24) records the response duration. These data can be transmitted to the host (1), and the host (1) can generate a chart based on these data; The chart can at least be used to present information about unclear words in the test sentence, including position information, frequency, loudness, number of responses, and response duration of the unclear words.

10. The speech training method based on sentence playback according to any one of claims 1 to 9, characterized in that: The speech training system further comprises a microphone (5), wherein the microphone (5) is electrically connected to the controller (21), and the microphone (5) is used to record the sound emitted by the subject himself. Under the action of the controller (21) and the host (1), the sound emitted by the subject himself picked up by the microphone (5) can be processed and stored as an independent test material in the corpus (221) of the memory (22). Under the control of the host (1), the test material can be called for testing and the subject can be asked to respond.

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