KR101671567B1 - Hearing impairment simulation method - Google Patents

Abstract

The hearing loss simulation method according to the present invention includes a strength adjustment step of adjusting the strength of a conversation sound to be audible according to a hearing of a subject, a hearing information input step of inputting a plurality of frequencies after the intensity adjustment step, A hearing loss calculating step of calculating a hearing loss degree and a type according to the hearing loss information of the hearing loss information input step; determining a size of a sound source according to a degree of hearing loss of the hearing loss calculating step; An output data selection step of selecting data, and an output step of outputting the sound data found in the first database according to the output data of the output data selection step through a monitor and outputting a sound through the speaker In the output step, the output of the output data selection step To screen the effectiveness of hearing aid and the input data from the second database according to the selection results data includes outputting the hearing aid via the seupiteo effect sound.
Accordingly, since the original sound of the type and the degree of hearing loss is prepared in advance and stored in the database, the stored data is output differently according to the input value, so that the difficulty of understanding and understanding of the hearing impaired person and the effectiveness of the hearing aid are objectified, The information is provided as visual information and auditory information, so that the user can easily recognize the information of the hearing loss.

Description

{HEARING IMPAIRMENT SIMULATION METHOD}

The present invention relates to a method for simulating a hearing loss, and more particularly, to an ordinary person experiencing a difficulty of hearing impaired by a simple and convenient indirect experience to understand the difficulty of the hearing impaired person and easily recognize the necessity of a hearing aid And a method of simulating the hearing loss.

Domestic smart phones and smart personal terminals are widely used, and there is no hearing loss simulator that can be used in personal computer terminals, smart phones and tablet PCs or on the Internet web, and there is almost no software for simulation of hearing loss.

There are softwares, voice analyzers and sound editors widely used in the past, which are widely used by hearing aid companies. However, there are drawbacks in that they are expensive products or can not be used unless they are specialists. In addition, fitting programs for hearing aid companies are disadvantageous in that they can not be used by the general public, The analyzer has a disadvantage that it is difficult to purchase and use it because it is an expensive product because it can be used for various voice editing.

In addition, the conventional hearing impairment simulator has a disadvantage that it is difficult to use even if it is developed in a foreign country or developed in Korea.

In the past, there has been a patent application filed and registered as a patent application No. 10-1996-40428. In order to model the auditory characteristics of the hearing impaired person, the hearing impaired person's hearing characteristic table is input and stored in a memory. Calculating a hearing loss table and storing the hearing loss table in the memory; Converting an input voice signal into a digital signal and storing the digital signal in the memory; Converting the converted digital signal into a frequency domain; Calculating average power per critical band; Calculating a hearing loss gain per critical band using the hearing loss table and the average power per critical band; Calculating a coefficient for a digital filter corresponding to the hearing loss gain per critical band; Filtering the input signal using a digital filter to which the coefficient for the digital filter is applied; Converting the filtered signal into a time domain; And converting the signal converted into the time domain into an analog signal and outputting the analog signal to the audio output means.

However, this conventional technique has a disadvantage in that it is difficult to understand the difficulty of the hearing impaired person because the hearing loss information is received through the interface, the degree and type of hearing loss are found, and the result can not be visualized and sounded.

SUMMARY OF THE INVENTION The present invention has been made to solve the above-mentioned problems of the prior art, and it is an object of the present invention to provide a method and apparatus for objectively detecting the hearing impaired person, The present invention provides a method for simulating a hearing loss, which is provided as information so that the user can easily recognize the information of the hearing loss.

In order to achieve the above-mentioned object, the present invention provides a method for adjusting a hearing ability of a subject, the method comprising: A hearing loss calculating step of calculating a hearing loss degree and a type according to the hearing loss information of the hearing loss information input step, the hearing loss calculating step of determining the size of the sound source according to the degree of hearing loss of the hearing loss calculating step, And outputting a sound output through the speaker to a sound output through a monitor, and outputting a sound output through the speaker to the output data of the output data selection step And a method of simulating the hearing loss.

And outputting the hearing aid effect sound source through the speaker by selecting the hearing aid effect input and data in the second database according to the output data selection result value of the output data selection step in the output step.

In the method of simulating the hearing loss according to the present invention, since the original sound of the type and degree of hearing impairment is prepared in advance and stored in a database, the stored data is output differently according to the input value. Therefore, difficulties in understanding and understanding the language of the hearing impaired person, And the information of the hearing loss is provided as visual information and auditory information so that the user can easily recognize the information of the hearing loss.

In addition, it provides a simple interface to make it easy for anyone to use. It can be used effectively by internet web or mobile app, and it can be used easily by the general public to understand the difficulties of the hearing impaired person. It is possible to objectify the effect of the hearing impaired person to the general public by simply and conveniently indirectly experiencing the difficulties of the hearing impaired person so that the public can understand the difficulties of the hearing impaired person and easily recognize the necessity of the hearing aid.

1 is a schematic block diagram of an apparatus used in a method for simulating hearing loss according to the present invention.
2 is a flowchart showing an example of a method for simulating deafness according to the present invention.
Fig. 3 is a flowchart showing another example of the hearing loss simulation method according to the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

FIG. 1 is a diagram illustrating a deafness simulator to which a deafness simulation method according to the present invention is applied. In the deafness simulation, the deafness information is input to a computer keyboard or mouse, a touch screen of a computer, A slope type and a degree of hearing loss according to the data input from the hearing loss data input unit 1 and outputs the output value to the first database 2 and the second database 3, (5) and a loudspeaker (6) according to the sound source data of the first database (2) and the second database (3) found by the output values of the hearing loss data processing section (4) And outputting the voice data through a voice output unit (not shown).

As shown in FIG. 2, the hearing loss simulation method according to the present invention realizes a hearing loss simulation method using the hearing loss simulator, and includes a strength adjustment step, a hearing loss information input step, a hearing loss calculation step, an output data selection step, .

Herein, in the intensity adjustment step, the intensity of the dialogue sound is adjusted so as to be audible according to the hearing of the subject such as the general public. In the hearing information input step, a plurality of frequencies are input after the intensity adjustment step, In the hearing loss calculation step, the degree and type of hearing loss are calculated according to the hearing loss information in the hearing loss information input step.

In the output data selection step, the size of the sound source is determined according to the degree of the hearing loss in the hearing loss calculation step, and the output data is selected by summing the type of the hearing loss calculation step and the size of the sound source.

In the outputting step, the sound data found in the first database is output through the monitor in accordance with the output data of the output data selecting step, and the sound output through the speaker is output.

In order to indicate how the sound is compensated when the hearing aid is worn, in the outputting step, the hearing aid effect input and data are inputted in the second database in accordance with the output data selection results of the output data selecting step in the outputting step, And outputting the hearing aid effect sound source through the speaker.

For example, the hearing loss simulation method according to the present invention executes the hearing loss software on a personal computer or a smart phone through an Internet web, an executable file, or a smartphone application.

When the hearing-impaired simulator software is executed, the user adjusts the strength of the most audible conversation sound according to the hearing ability of the individual by pressing the speaker sound correction button at the intensity adjusting step.

In the inputting of the hearing loss information, the hearing information is inputted to the interface of the software by using a keyboard and a mouse, 250 Hz, 500 Hz, 1 kHz, 2 kHz, 3 kHz, 4 kHz and 8 kHz respectively.

When the hearing loss information is input in the hearing loss information input step, the degree of hearing loss and the type are calculated and calculated in the hearing loss calculation step. The types of hearing loss are six kinds of hearing loss (R, The degree of hearing loss is defined as the size of the sound source as shown in Table 2, and the degree of hearing loss is classified into PTA (pure) tone average (L1-L5).

Types of hearing loss - Six types of hearing patterns shape standard Adversarial (R) Slope <0 Horizontal (L) 0 ≤ Slope ≤ 10 Inclined type (S1) 11? Slope? 20 Steep slope (S2) 21 ≤ Slope ≤ 30 Beginner type (S3) Slope> 31 High-frequency hearing loss type (H) More than one frequency hearing loss above 2,000 Hz

Degree of hearing loss classification - classified into 5 categories (RL standard) PTA value (dB HL) division Size of sound source PTA ≤ 20 L1 RL dB 20 < PTA &lt; = 40 L2 RL - 6 dB 40 < PTA &lt; = 60 L3 RL - 12 dB 60 < PTA &lt; = 80 L4 RL - 18 dB  80 < PTA &lt; = 100 L5 RL - 24 dB

In the output data selection step, the output data is selected by summing the type of the deafness and the sound source size, and the final output data is searched in the first database, and the sound data is outputted through the monitor and the speaker outputs sound.

Hearing loss type and hearing loss type (H) were classified into 6 kinds of reverse type (R), horizontal type (L), oblique type (S1), steeply sloped type (S2) . The method for selecting a type is to calculate the hearing loss information input value 500 Hz and 3 kHz inputted in the inputting of the hearing loss information to find the type of hearing loss.

The calculation method is classified into 3k Hz - 500 Hz = slope. The classification method is classified into reverse grazing type (R) when the slope is less than 0, and horizontal slope (L) , 11 <Slope ≤ 20 is slope type (S1), 21 <Slope ≤ 30 is steep slope type (S2), Slope> 31 is element slope type (S3) When there is a hearing loss, it is classified into a high-frequency hearing loss type (H).

In order to calculate the degree of hearing loss in the degree of hearing loss and type calculation, the hearing loss averaged value (PTA) is used to classify the five cases as L1 to L5. The classification method is defined as L1 if PTA ≤ 20 and PTA ≤ 40 L 2 if PTA ≤ 60, L 4 if LTA PTA ≤ 80, L 5 if PTA ≤ 100.

Then, in the hearing loss calculation step, information on the degree of hearing loss (L1-L5) according to the type of hearing loss (Slope) and the PTA value is calculated in the degree of hearing loss and type calculation. In the output data selection step, And finds data that matches the degree.

Here, the first database stores 25 pieces of data of six types of hearing loss (Slope) and hearing loss data (including reference tone RL) according to five degrees of hearing loss (L1-L2) The database stores the samples according to the type of the hearing loss, and outputs the stored data sources according to the type and degree of hearing loss inputted in the simulation implementation.

 Building the first database R L S1 S2 S3 H L1 RL L2 L2R L2L L2S1 L2S2 L2S3 H2 L3 L3R L3L L3S1 L3S2 L3S3 H3 L4 L4R L4L L4S1 L4S2 L4S3 H4 L5 L5R L5L L5S1 L5S2 L5S3 H5

In the output data selection step, after the output data is sorted, output data of the graph, type, loss degree, and PTA value are output through the monitor in the output step using the hearing sound source data found in the first database, .

Further, in the present invention, the input value of the hearing aid effect input and the data selection are inputted as 4 dB compensation dB, 20 dB HL, 40 dB HL, 60 dB HL and 80 dB HL, And then outputs the hearing sound again.

Here, the output corresponding to the hearing aid effect can not be independently performed. After performing the steps from the intensity adjusting step to the outputting step, additional hearing aid effect input and data selection can be performed.

The reason for this is as follows. The output data sorting result value is used to indicate how the sound is compensated when the hearing aid wears the selected data in the output data sorting step after the degree of hearing loss and type calculation is finished in the hearing loss calculation step. And determines the sound output value in the second database.

 Construction of decibel compensation database according to type and degree of hearing loss Selection value (dB HL) division Size of sound source + 20 dB HL A1 HL + 6 dB + 40 dB HL A2 HL + 12 dB + 60 dB HL A3 HL + 18 dB + 80 dB HL A4 HL + 24 dB

Here, in the output step, the hearing aid effect input and data selection are performed to find the data stored in the second data face according to the type and degree of the selected hearing loss in the output data selection step, and output the hearing aid effect sound source.

The hearing aid effect sound source is classified into four levels from A1 to A4, and is set to a value increased by 20 dB each.

That is, A1 through A4 (+20, 40, 60, and 80 dB HL) are added to the hearing aid sound source selected in the output data selection step according to the hearing aid effect input data value,

In the second database, as shown in Table 5, 96 hearing aid decibel compensated data sources according to the type and degree of hearing impairment are stored to process data according to hearing aid effect input data values. Decibel compensated sound source is stored, and the stored data sound source is outputted according to the type and degree of hearing loss inputted in the simulation implementation and the gain value of the hearing aid.

Building a second database R L S1 S2 S3 H L2


L2RA1 L2LA1 L2S1A1 L2S2A1 L2S3A1 L2HA1 L2RA2 L2LA2 L2S1A2 L2S2A2 L2S3A2 L2HA2 L2RA3 L2LA3 L2S1A3 L2S2A3 L2S3A3 L2HA3 L2RA4 L2LA4 L2S1A4 L2S2A4 L2S3A4 L2HA4 L3


L3RA1 L3LA1 L3S1A1 L3S2A1 L3S3A1 L3HA1 L3RA2 L3LA2 L3S1A2 L3S2A2 L3S3A2 L3HA2 L3RA3 L3LA3 L3S1A3 L3S2A3 L3S3A3 L3HA3 L3RA4 L3LA4 L3S1A4 L3S2A4 L3S3A4 L3HA4 L4


L4RA1 L4LA1 L4S1A1 L4S2A1 L4S3A1 L4HA1 L4RA2 L4LA2 L4S1A2 L4S2A2 L4S3A2 L4HA2 L4RA3 L4LA3 L4S1A3 L4S2A3 L4S3A3 L4HA3 L4RA4 L4LA4 L4S1A4 L4S2A4 L4S3A4 L4HA4 L5


L5RA1 L5LA1 L5S1A1 L5S2A1 L5S3A1 L5HA1 L5RA2 L5LA2 L5S1A2 L5S2A2 L5S3A2 L5HA2 L5RA3 L5LA3 L5S1A3 L5S2A3 L5S3A3 L5HA3 L5RA4 L5LA4 L5S1A4 L5S2A4 L5S3A4 L5HA4

Again, if you run a simulation program, you can use a CT device to calibrate and enter the hearing loss of the hearing impaired that you want to simulate into an audiogram on the software.

If there is no hearing loss, the value of RL (Reference Level) is directly sent to the speaker output and outputted. If there is a hearing loss, PTA (Pure Tone Average) was calculated using hearing thresholds of 500 Hz, 1000 Hz, 2000 Hz, and 4000 Hz, and the hearing patterns were calculated using a difference of 3,000 Hz and 500 Hz And automatically determines the type of slope.

The slope calculation method is used to find the type of slope and the PTA value is automatically calculated to output data corresponding to the slope value and the PTA value to the first database Is found in the 25 voice data stored in the second database, and the found data is outputted through the speaker.

In order to simulate the hearing aid effect, we select the type of compensation decibel value and input the appropriate sound source among the 96 dibel compensation databases. And outputs it as a sound.

That is, the output sound source is found by searching information in the first database and the second database, and the effect simulation based on the decibel compensation can be used after performing the deafness simulation.

Then, a user such as a general person drives a simulator, inputs an audiogram of a deaf person he / she wants to experience, numerically inputs it, and operates the hearing loss data processor to output various information.

Therefore, after using the hearing impairment simulator, it is possible not only to change the perception of the hearing impairment of the general public, but also to change the perception of the hearing aid of the general public.

1: a hearing loss data input unit
2, 3: First and second databases
4: hearing aid data processing section
5: Monitor
6: Speaker
7: a hearing loss data output section

Claims (2)

A strength adjusting step of adjusting the intensity of the conversation sound by pressing a speaker sound correcting button in accordance with the hearing of the subject,
After the intensity adjusting step, the hearing information is input to the interface of the software using a keyboard and a mouse to input the hearing information of the subject by inputting 250 Hz, 500 Hz, 1 kHz, 2 kHz, 3 kHz, 4 kHz, A hearing aid information input step,
(L), a slope type (S1), a steep slope type (S2), a first grade slope type (S3), a high frequency hearing loss type The degree of hearing loss is divided into five stages (L1-L5) based on pure tone average (PTA), which determines the size of the sound source.
The size of the sound source is determined according to the degree of the hearing loss in the hearing loss calculation step, and the output data is selected by adding the type of the hearing loss calculation step and the size of the sound source. In the degree of hearing loss and type calculation, (H) input from the hearing loss information inputting step is divided into a horizontal type L, a horizontal type L, an inclined type S1, a steeply inclined type S2, 500 Hz and 3 kHz are calculated, and the type of hearing loss is selected and selected. In order to output the stored data source according to the type and degree of hearing loss inputted at the time of simulation implementation, six types of hearing loss and six degrees of hearing loss (Including the reference sound RL) according to five L1-L2 (L1-L2), the first database includes an output data selection step of storing the degree-of-samples according to the type of the hearing impairment as a first database,
In addition, according to the output data of the output data selection step, a graph, type, loss degree, and PTA value of the sound data found in the first database or the second database are outputted through a monitor, And outputting a graph, a type, a loss degree, and a PTA value through the monitor using the hearing loss data found in the first database after the selection in the output data selection step in the output data selection step, In the hearing aid effect input and the data selection, the input value is inputted with 20 dB HL, 40 dB HL, 60 dB HL, and 80 dB HL, and the data corresponding to the input value is inputted to the second database And outputs the hearing loss sound again. In the hearing loss calculation step, And an output step of determining the sound output value in the second database using the output data selection result value to indicate how the sound is compensated when the hearing aid wears the selected data at the end of the output data selection step / RTI &gt; delete

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