JP2021033315A - Information processing apparatus and information processing program - Google Patents

Abstract

To provide an information processing apparatus which can improve safety in authenticating a user by means of voice of the user, compared with a case of authenticating a user by means of voice of the user who uttered a predetermined password.SOLUTION: Display control means of an information processing apparatus controls one or a plurality of characters in a character string to be displayed, for the character string including a plurality of characters. Receiving means receives voice of a user who uttered the characters displayed by the control means. First authentication means authenticates each voice for the one or a plurality of characters. Second authentication means authenticates the user who uttered the voice by applying a rule specified in advance for a plurality of authentication results of the first authentication means.SELECTED DRAWING: Figure 1

Description

The present invention relates to an information processing device and an information processing program.

Patent Document 1 has an object of providing a highly secure authentication system capable of detecting and eliminating unauthorized access due to theft of a source address or password, and a plurality of passwords (or a plurality of passwords) for each of a connecting device and a terminal. The generation algorithm) and setting information are stored, the time between the connecting device and the terminal is synchronized, and the password (or password generation algorithm) is changed with the passage of time according to the setting information to change the password, and the terminal sends a frame. The password is added and sent, and the connecting device compares the password of the received frame with the password of the connecting device. If the passwords match, the connecting device allows the terminal to communicate, and if they do not match, the communication is not possible. Discarding the frame as a permit is disclosed.

Patent Document 2 has an object of easily changing a voice password in voiceprint authentication, and the voiceprint authentication system registers the elements of numbers and / or characters constituting the password and the voiceprint data of the elements connecting these elements. A voice recording means for recording each person, a password forming means for forming a random password using each element, and a voice data forming means for forming voice data of a password formed by the password forming means using voiceprint data. The password determination means for determining that the determination requester is a registrant based on the collation between the voice data obtained by the determination requester by inputting the password by voice and the voice data formed by the voice data forming means. It is disclosed that, instead of registering the voice password itself obtained by uttering the password, the voice print data of each element constituting the password is registered.

Japanese Unexamined Patent Publication No. 2001-209614 Japanese Unexamined Patent Publication No. 2005-128307

When authenticating using the user's voice, in the configuration where the user authenticates using the voice that utters a predetermined password, if the voice is recorded, it will be abused by another user. There is a safety risk. Therefore, in the present invention, when the authentication is performed using the voice of the user, the security associated with authenticating the user who has spoken is improved as compared with the case where the authentication is performed using the voice of the user who has spoken a predetermined password. It is an object of the present invention to provide an information processing device and an information processing program that can be enhanced.

The gist of the present invention for achieving such an object lies in the inventions of the following items.
The invention of claim 1 is a display control means for controlling a character string including a plurality of characters to display one or more characters in the character string, and a user who utters the characters displayed by the display control means. By applying a predetermined rule to a reception means for receiving the voice of the above, a first authentication means for authenticating each voice of one character or a plurality of characters, and a plurality of authentication results by the first authentication means. It is an information processing device having a second authentication means for authenticating the user who issued the above.

According to the second aspect of the present invention, the display control means controls to display one character or a plurality of characters in the character string in a plurality of times, and the first authentication means is displayed by the display control means. The information processing device according to claim 1, which authenticates each character.

The invention according to claim 3 is the information processing apparatus according to claim 2, wherein the second authentication means fails to authenticate when the first authentication means fails to authenticate a predetermined number of times. ..

The invention of claim 4 is the information processing apparatus according to claim 1, wherein the display control means controls so as to display the reading kana of the characters to be displayed.

According to the invention of claim 5, when the receiving means does not receive the voice within a predetermined time, or when the authentication by the first authentication means is not performed, the display controlling means is described as follows. The information processing apparatus according to claim 2, wherein the information processing device is controlled so as to display characters.

The invention of claim 6 further includes a generation means for generating the character string to be displayed by the display control means according to the security level, and the display control means is the character generated by the generation means. The information processing apparatus according to claim 1, wherein one character or a plurality of characters in a column are controlled to be displayed.

The invention of claim 7 is the reception means for receiving voices uttered by a plurality of predetermined users for a predetermined one character or a plurality of characters, and the predetermined information for each one character or the plurality of characters. Using the generation means that generates the data added to the voice as learning data for authentication and the learning data generated by the generation means, learning for authentication using voice is performed to generate one learning model. It is an information processing device having a learning model generating means.

The invention according to claim 8 is the information processing apparatus according to claim 1, wherein the first authentication means authenticates using the learning model generated by the information processing apparatus according to claim 7.

The invention of claim 9 comprises a receiving means for receiving voices uttered by a plurality of predetermined users for a predetermined one character or a plurality of characters, and the predetermined voice for each one character or a plurality of characters. A learning model that uses a generation means generated as training data for authentication and learning data generated by the generation means to perform learning for authentication using voice and generate a learning model for each character or a plurality of characters. It is an information processing device having a generation means.

According to the invention of claim 10, the first authentication means is a learning model generated by the information processing apparatus according to claim 9, and is a learning model corresponding to one character or a plurality of characters displayed by the display control means. The information processing apparatus according to claim 1, wherein authentication is performed using the information processing apparatus according to claim 1.

The invention of claim 11 is a display control means for controlling a computer to display one character or a plurality of characters in the character string for a character string including a plurality of characters, and a character displayed by the display control means. By applying a predetermined rule to a reception means for receiving the voice of the user who utters a voice, a first authentication means for authenticating each one-character or multiple-character voice, and a plurality of authentication results by the first authentication means. , Is an information processing program for functioning as a second authentication means for authenticating the user who has emitted the voice.

The invention of claim 12 is defined in advance as a receiving means for receiving a voice uttered by a plurality of predetermined users for a predetermined one character or a plurality of characters, and for each of the one character or the plurality of characters. One learning is performed by learning for authentication using voice using a generation means for generating data in which information is added to the voice as learning data for authentication and learning data generated by the generation means. It is an information processing program for functioning as a learning model generation means for generating a model.

The invention of claim 13 is the above-mentioned reception means for receiving a voice uttered by a plurality of predetermined users for a predetermined one character or a plurality of characters, and the predetermined one character or a plurality of characters for each of the predetermined characters. Using the generation means for generating voice as learning data for authentication and the learning data generated by the generation means, learning for authentication using voice is performed to generate a learning model for each character or a plurality of characters. It is an information processing program for functioning as a learning model generation means.

According to the information processing device of claim 1, when the authentication is performed using the user's voice, the uttered user is authenticated as compared with the case where the authentication is performed using the voice of the user who utters a predetermined password. The safety that accompanies it can be improved.

According to the information processing device of claim 2, in the first authentication, authentication can be performed for each displayed character.

According to the information processing apparatus of claim 3, if the authentication fails a predetermined number of times in the first authentication, the authentication can be regarded as a failure.

According to the information processing apparatus of claim 4, even if the characters have a plurality of readings, the readings for authentication can be unified.

According to the information processing device of claim 5, if the voice is not received within a predetermined time, or if the authentication by the first authentication is not performed, the following characters can be displayed. ..

According to the information processing device of claim 6, a character string according to the security level can be generated for authentication.

According to the information processing apparatus of claim 7, even when the readings of the characters for authentication are similar, the learning model can be generated so that one learning model can be used for authentication.

According to the information processing device of claim 8, the user can be authenticated by one learning model even when the readings of the characters for authentication are similar.

According to the information processing apparatus of claim 9, a learning model corresponding to each one character or a plurality of characters can be generated.

According to the information processing device of claim 10, the user can be authenticated by using the learning model corresponding to the displayed one character or a plurality of characters.

According to the information processing program of claim 11, when authenticating using the voice of the user, the user who utters the password is authenticated as compared with the case where the user who utters the predetermined password is used for authentication. The safety that accompanies it can be improved.

According to the information processing program of claim 12, even when the readings of the characters for authentication are similar, the learning model can be generated so that the authentication can be performed by one learning model.

According to the information processing program of claim 13, a learning model corresponding to each one character or a plurality of characters can be generated.

It is a conceptual module configuration diagram about the configuration example of the first embodiment. It is explanatory drawing which shows the system configuration example using this embodiment. It is a flowchart which shows the processing example by 1st Embodiment. It is explanatory drawing which shows the processing example by 1st Embodiment. It is explanatory drawing which shows the processing example by 1st Embodiment. It is a flowchart which shows the processing example by 1st Embodiment. It is a conceptual module configuration diagram about the configuration example of the second embodiment. It is explanatory drawing which shows the processing example by 2nd Embodiment. It is explanatory drawing which shows the processing example by 2nd Embodiment. It is explanatory drawing which shows the processing example by 2nd Embodiment. It is a conceptual module configuration diagram about the configuration example of the third embodiment. It is explanatory drawing which shows the processing example by 3rd Embodiment. It is explanatory drawing which shows the processing example by 3rd Embodiment. It is a block diagram which shows the hardware configuration example of the computer which realizes this embodiment.

Hereinafter, examples of various suitable embodiments for realizing the present invention will be described with reference to the drawings.
<First Embodiment>
FIG. 1 shows a conceptual module configuration diagram for a configuration example of the first embodiment.
Note that a module generally refers to parts such as software (including a computer program as an interpretation of "software") and hardware that are logically separable. Therefore, the module in this embodiment refers not only to the module in the computer program but also to the module in the hardware configuration. Therefore, in this embodiment, a computer program for functioning as those modules (for example, a program for causing the computer to perform each procedure, a program for causing the computer to function as each means, and a computer for each of them. It also serves as an explanation of the program), system, and method for realizing the functions of. However, for convenience of explanation, words equivalent to "remember" and "remember" are used, but these words are stored in a storage device or stored when the embodiment is a computer program. It means that it is controlled so that it is stored in the device. Further, the modules may have a one-to-one correspondence with the functions, but in the implementation, one module may be configured by one program, a plurality of modules may be configured by one program, and conversely, one module may be configured. May be composed of a plurality of programs. Further, the plurality of modules may be executed by one computer, or one module may be executed by a plurality of computers by a computer in a distributed or parallel environment. In addition, one module may include another module. In addition, hereinafter, "connection" is used not only for physical connection but also for logical connection (for example, data transfer, instruction, reference relationship between data, login, etc.). "Predetermined" means that it is determined before the target process, not only before the process according to the present embodiment starts, but also after the process according to the present embodiment starts. However, if it is before the target process, it is used with the intention that it is determined according to the situation / state at that time or according to the situation / state up to that point. When there are a plurality of "predetermined values", they may be different values, and two or more values ("two or more values" include, of course, all values). It may be the same. Further, the description "if A, do B" is used to mean "determine whether or not it is A, and if it is determined to be A, do B". However, this excludes cases where it is not necessary to determine whether or not it is A. Further, when a thing is listed such as "A, B, C", it is an example list unless otherwise specified, and includes a case where only one of them is selected (for example, only A).
In addition, a system or device is configured by connecting a plurality of computers, hardware, devices, etc. by communication means such as a network (the "network" includes a one-to-one correspondence communication connection), and one. It also includes cases where it is realized by computers, hardware, devices, and the like. "Device" and "system" are used as synonymous terms. Of course, the "system" does not include anything that is nothing more than a social "mechanism" (that is, a social system) that is an artificial arrangement.
In addition, for each process by each module or when multiple processes are performed in the module, the target information is read from the storage device, and after the processes are performed, the process results are written to the storage device. is there. Therefore, the description of reading from the storage device before processing and writing to the storage device after processing may be omitted. The storage device here includes a hard disk drive, a RAM (abbreviation of Random Access Memory), an external storage medium, a storage device via a communication line, a register in a CPU (abbreviation of Central Processing Unit), and the like. May be good.

The information processing device 100 according to the first embodiment has an authentication function using a user's voice, and as shown in the example of FIG. 1, the character string generation module 105, the display control module 110, and the display device. It has 115, a voice reception module 120, and a user authentication module 125.

The character string generation module 105 is connected to the display control module 110. The character string generation module 105 generates a character string to be displayed by the display control module 110 according to the security level. For example, the length of the character string may be determined according to the security level. Specifically, if the security level is high, it may be a long character string, and if the security level is low, it may be a short character string.
The security level may be determined according to the function used by the user. Here, as the "function used by the user", the function used by the user may be selected before authentication. For example, when the copy function is used, a three-character character string may be generated, and when the fax reception function is used, a six-character character string may be generated. Further, the security level may be determined according to the processing amount specified by the user. Here, as for the "processing amount specified by the user", the processing amount may be input by the user before authentication. For example, in the case of one copy, a character string of 3 characters may be generated, and in the case of 10 copies, a character string of 6 characters may be generated.
The character string generated by the character string generation module 105 may be a number string, an alphabetic character string, or a character string such as katakana. For example, in the case of a number string, the character string generation module 105 may randomly select a number of characters according to the security level from the characters 0 to 9. Since the selection is random, it is unlikely that the same string will be displayed, and it is difficult to authenticate using a previously authenticated voice recording. Further, the character string generation module 105 may store a character string used in the past and generate a character string other than the character string used in the past.

The display control module 110 is connected to the character string generation module 105, the display device 115, and the user authentication module 125. The display control module 110 controls a character string including a plurality of characters to display one character or a plurality of characters in the character string.
Further, the display control module 110 may control the display device 115 to display one character or a plurality of characters in the character string in a plurality of times. Here, "divided into a plurality of times" includes hiding the previously displayed one character or a plurality of characters when displaying the next one character or a plurality of characters. That is, the "one character or a plurality of characters" displayed on the display device 115 is one "one character or a plurality of characters".
Further, the display control module 110 may also control the reading kana of the characters to be displayed so as to be displayed on the display device 115. This is to ensure that the readings by the user are unified even if the characters to be displayed have multiple readings. For example, when "1" is displayed, there are a plurality of readings such as "Ichi" and "Hitotsu", but when it is desired to display "Ichi", it is displayed as "Ichi" together with "1".
If the voice reception module 120 does not receive voice within a predetermined time, or if the authentication (A) module 130 does not perform authentication, the display control module 110 displays the following characters. It may be controlled so that it may be displayed on the display device 115.
Further, the display control module 110 may control the display device 115 to display one or more characters in the character string generated by the character string generation module 105. Hereinafter, in the example, a case where one character in the character string generated by the character string generation module 105 is controlled to be displayed on the display device 115 in order will be described.

The display device 115 is connected to the display control module 110. The display device 115 may be, for example, a display device such as a liquid crystal display or an organic EL display, and may be a touch screen or the like that accepts a user's operation. The display device 115 displays one character or a plurality of characters according to the control by the display control module 110. This displayed single character or plural characters is read aloud by the user, and the voice is used for user authentication.

The voice reception module 120 is connected to the user authentication module 125. The voice reception module 120 receives the user's voice by, for example, a microphone or the like. Then, the voice reception module 120 receives the voice of the user who utters the characters displayed on the display device 115 under the control of the display control module 110. The voice received by the voice reception module 120 becomes voiceprint data for authenticating the user.

The user authentication module 125 has an authentication (A) module 130 and an authentication (B) module 135, and is connected to the display control module 110 and the voice reception module 120. The user authentication module 125 authenticates the user. For example, it may authenticate a user who can use a certain device. Specifically, like the image processing device 200 shown in the example of FIG. 2, a user who has a built-in information processing device 100 and can use the image processing device 200 is authenticated. This applies to so-called login authentication.
The authentication here is the authentication of the user using voice, and is the so-called voiceprint authentication. And it also performs voice recognition.

Authentication (A) The module 130 authenticates each one-character or plural-character voice received by the voice reception module 120.
Further, the authentication (A) module 130 may perform authentication for each character displayed by the display control module 110. Specifically, the authentication (A) module 130 recognizes the voice for each voice of one character or a plurality of characters. Whether or not the voice recognition result is the same as the "single character or multiple characters" controlled to be displayed by the display control module 110, that is, the "single character or multiple characters" displayed by the display device 115. to decide. If they are the same, voiceprint authentication is performed. Authentication (A) As an authentication failure by the module 130, if the "single character or multiple characters" displayed by the display device 115 is different, or if voiceprint authentication cannot be performed, voiceprint authentication was possible, but what is the previous voiceprint authentication? This applies when you become a different user. In addition, "voiceprint authentication was possible" here means that the voice of a predetermined user is used. Further, the "previous voiceprint authentication" is the previous time when the "one character or a plurality of characters" displayed by the display device 115 is present a plurality of times in one user authentication. Of course, in one user authentication, there is no previous voiceprint authentication in the first voiceprint authentication. Of course, in one user authentication, if there are multiple "single character or multiple characters" displayed by the display device 115, user authentication will be performed if the result of all voiceprint authentications is not the same user authentication. Authentication by module 125 is unsuccessful.

The authentication (A) module 130 may perform authentication using the learning model generated by the machine learning device (A) 700, which will be described later using the example of FIG. 7.
Further, the authentication (A) module 130 is a learning model generated by the machine learning device (B) 1100 described later using the example of FIG. 11, and corresponds to one character or a plurality of characters displayed by the display control module 1110. Authentication may be performed using the learning model to be used.

The authentication (B) module 135 authenticates the user who utters the voice by applying a predetermined rule to a plurality of authentication results by the authentication (A) module 130.
Further, the authentication (B) module 135 may be set to the authentication failure when the authentication failure by the authentication (A) module 130 has been performed a predetermined number of times. As an example of the "predetermined rule", it is stipulated that "if there is an authentication failure by the authentication (A) module 130 a predetermined number of times, the authentication fails". In addition to this, as a "predetermined rule", "if the authentication failure by the authentication (A) module 130 continues X times or more, the authentication fails" or the like.

FIG. 2 is an explanatory diagram showing an example of a system configuration using the present embodiment.
The image processing device 200 shown in the example of FIG. 2A has an information processing device 100. The user needs to be authenticated by the information processing device 100 in order to use the functions such as copying and printing of the image processing device 200. The user reads out the characters displayed by the information processing device 100, receives the voice with the microphone, and authenticates. That is, the user is authenticated by reading out the characters displayed on the spot instead of uttering a predetermined password.

In the example of FIG. 2B, the information processing device 100, the machine learning device (A) 700, and the machine learning device (B) 1100 in the image processing device 200 are connected via a communication line 290, respectively. The communication line 290 may be wireless, wired, or a combination thereof, and may be, for example, the Internet as a communication infrastructure, an intranet, or the like.
The machine learning device (A) 700 and the machine learning device (B) 1100 perform machine learning of the user's voice to generate a learning model that exerts the function of the authentication (A) module 130 of the information processing device 100. Machine learning is divided into two phases: a "learning phase" in which a neural network is created and a "prediction phase" in which a correct answer is obtained using the completed neural network. The learning phase is a machine learning device (A) 700 or a machine learning device ( B) It is performed in 1100, and the prediction phase is performed in the authentication (A) module 130 of the information processing apparatus 100. That is, the learning model generated by the learning by the machine learning device (A) 700 or the machine learning device (B) 1100 is transmitted to the information processing device 100 of the image processing device 200, and the information processing device 100 transmits the learning model. Authentication (A) Used as module 130.

FIG. 3 is a flowchart showing a processing example according to the first embodiment.
In the example shown below, a "character string containing a plurality of characters" is referred to as a password. As an example of a password, a case where it is composed of a plurality of numbers is shown. Further, an example is shown in which the numbers of the password are displayed in order one digit at a time as "one character or a plurality of characters in the character string" to be displayed on the display device 115.

In step S302, a password is generated. For example, a password is generated using a random number having a predetermined number of digits. The number of digits can be set arbitrarily. For example, it may be 4 digits or the like. Pseudo-random numbers may be included in the random numbers (the same applies hereinafter).
In step S304, a single digit password is displayed on the user authentication screen.

In step S306, the voice is received. The user reads out the one-digit number displayed on the user authentication screen.
In step S308, it is determined whether or not the timeout time has elapsed, and if it has elapsed, the process returns to step S304, and if not, the process proceeds to step S310. The time from the time when the one-digit number constituting the password is displayed is counted, and when the predetermined time has passed, it is determined that the timeout time has passed. The timeout time can be set arbitrarily. For example, it may be 2 seconds or the like.

In step S310, the input voice is determined, and if it is OK, the process proceeds to step S312, and if it is NG, the process proceeds to step S316. As described above, if the voice recognition result matches the number displayed on the user authentication screen and the user of the current authentication result matches the user of the previous authentication result, the process proceeds to step S312.
In step S312, it is determined whether or not the authentication conditions are met, and if they match, the process proceeds to step S314, and if not, the process returns to step S304. For example, as an authentication condition, it may be an authentication condition that the password generated in step S302 has a predetermined number of characters or more and is OK in the judgment of step S310. As an example, the authentication condition may be that all the numbers of the password generated in step S302 are OK in the judgment of step S310.

In step S314, the authentication is successful. That is, the login is successful, and this user can use the image processing device 200.
In step S316, it is determined whether or not the number of possible failures has been reached, and if it is reached, the process proceeds to step S318, and if not, the process returns to step S304. As described above, the number of possible failures may be the number of failures in the processing in this flowchart, or the number of consecutive failures. The number of possible failures can be set arbitrarily. For example, it may be 3 times or the like.
In step S318, the authentication fails. That is, the login is unsuccessful and the user cannot use the image processing device 200.

FIG. 4 is an explanatory diagram showing a processing example according to the first embodiment.
A display example in step S304 is shown. It is displayed on a display device such as a liquid crystal display or an organic EL display provided in the image processing device 200.
The password display area 410 and the remaining time display area 420 are displayed on the user authentication screen 400.
The password character display area 412 and the reading display area 414 are displayed in the password display area 410. A one-digit number of the password is displayed in the password character display area 412. The reading of the number is displayed in the reading display area 414. Regarding the number "4", the utterance by the user is unified to "Yon".
The remaining time display area 420 indicates the elapsed time from the time when the number is displayed in the password character display area 412. In this example, the bar extends from left to right as time elapses, and when it reaches the right end, step S308 indicates that the timeout time has elapsed, and the user knows the elapsed time.

FIG. 5 is an explanatory diagram showing a processing example according to the first embodiment.
An example of the display transition on the user authentication screen 400 is shown. In this example, voiceprint authentication can be performed with four or more digits, and the number of possible failures in step S316 is set to three. The screens may be switched at specified time intervals, or may be switched when the success or failure of authentication in the one-digit number displayed on the screen is found.

The example of FIG. 5A shows an example in which user authentication can be performed with the password “4156”.
"4" is displayed in the password character display area 412 of the user authentication screen 400-a1, and "Yon" is displayed in the reading display area 414. Since the voiceprint authentication has been completed, the user authentication screen 400-a2 is displayed.
"1" is displayed in the password character display area 412 of the user authentication screen 400-a2, and "Ichi" is displayed in the reading display area 414. Since voiceprint authentication can be performed and the user is the same as the voiceprint authentication user on the user authentication screen 400-a1, the user authentication screen 400-a3 is displayed.
"5" is displayed in the password character display area 412 of the user authentication screen 400-a3, and "go" is displayed in the reading display area 414. Since voiceprint authentication can be performed and the user is the same as the voiceprint authentication user on the user authentication screen 400-a2, the user authentication screen 400-a4 is displayed.
"6" is displayed in the password character display area 412 of the user authentication screen 400-a4, and "Roku" is displayed in the reading display area 414. Voiceprint authentication is possible, and it is the same as the user of voiceprint authentication on the user authentication screen 400-a3, and 4-digit voiceprint authentication is possible, so the authentication is successful.

The example of FIG. 5B shows an example in which user authentication can be performed with the password "41569". However, an example is shown in which one time-out time has elapsed.
"4" is displayed in the password character display area 412 of the user authentication screen 400-b1, and "Yon" is displayed in the reading display area 414. Since the voiceprint authentication has been completed, the user authentication screen 400-b2 is displayed.
"1" is displayed in the password character display area 412 of the user authentication screen 400-b2, and "Ichi" is displayed in the reading display area 414. Since the timeout time has elapsed, the user authentication screen 400-b3 is displayed.
"5" is displayed in the password character display area 412 of the user authentication screen 400-b3, and "go" is displayed in the reading display area 414. Since voiceprint authentication can be performed and the user is the same as the voiceprint authentication user on the user authentication screen 400-b1, the user authentication screen 400-b4 is displayed.
"6" is displayed in the password character display area 412 of the user authentication screen 400-b4, and "Roku" is displayed in the reading display area 414. Since voiceprint authentication can be performed and the user is the same as the voiceprint authentication user on the user authentication screen 400-b3, the user authentication screen 400-b5 is displayed.
"9" is displayed in the password character display area 412 of the user authentication screen 400-b5, and "Kyu" is displayed in the reading display area 414. Voiceprint authentication is possible, and it is the same as the user of voiceprint authentication on the user authentication screen 400-b4, and 4-digit voiceprint authentication is possible, so the authentication is successful.

The example of FIG. 5C shows an example in which user authentication can be performed with the password "41569". However, an example in which one authentication failure occurs is shown.
"4" is displayed in the password character display area 412 of the user authentication screen 400-c1, and "Yon" is displayed in the reading display area 414. Since the voiceprint authentication has been completed, the user authentication screen 400-c2 is displayed.
"1" is displayed in the password character display area 412 of the user authentication screen 400-c2, and "Ichi" is displayed in the reading display area 414. Since voiceprint authentication can be performed and the user is the same as the voiceprint authentication user on the user authentication screen 400-c1, the user authentication screen 400-c3 is displayed.
"5" is displayed in the password character display area 412 of the user authentication screen 400-c3, and "go" is displayed in the reading display area 414. Since voiceprint authentication could not be performed, the user authentication screen 400-c4 is displayed.
"6" is displayed in the password character display area 412 of the user authentication screen 400-c4, and "Roku" is displayed in the reading display area 414. Since voiceprint authentication can be performed and the user is the same as the voiceprint authentication user on the user authentication screen 400-c2, the user authentication screen 400-c5 is displayed.
"9" is displayed in the password character display area 412 of the user authentication screen 400-c5, and "Kyu" is displayed in the reading display area 414. Voiceprint authentication is possible, and it is the same as the user of voiceprint authentication on the user authentication screen 400-c4, and 4-digit voiceprint authentication is possible, so the authentication is successful.

The example of FIG. 5D shows an example in which user authentication can be performed with the password "415697". In this example, unlike the examples of FIGS. 5 (b) and 5 (c), the authentication is successful when four characters can be authenticated in succession, and the time-out time elapses once. Shown.
"4" is displayed in the password character display area 412 of the user authentication screen 400-d1, and "Yon" is displayed in the reading display area 414. Since the voiceprint authentication has been completed, the user authentication screen 400-d2 is displayed.
"1" is displayed in the password character display area 412 of the user authentication screen 400-d2, and "Ichi" is displayed in the reading display area 414. Since the timeout time has elapsed, the user authentication screen 400-d3 is displayed.
"5" is displayed in the password character display area 412 of the user authentication screen 400-d3, and "go" is displayed in the reading display area 414. Since the voiceprint authentication has been completed, the user authentication screen 400-d4 is displayed.
"6" is displayed in the password character display area 412 of the user authentication screen 400-d4, and "Roku" is displayed in the reading display area 414. Since voiceprint authentication can be performed and the user is the same as the voiceprint authentication user on the user authentication screen 400-d3, the user authentication screen 400-d5 is displayed.
"9" is displayed in the password character display area 412 of the user authentication screen 400-d5, and "Kyu" is displayed in the reading display area 414. Since voiceprint authentication can be performed and the user is the same as the voiceprint authentication user on the user authentication screen 400-d4, the user authentication screen 400-d6 is displayed.
"7" is displayed in the password character display area 412 of the user authentication screen 400-d6, and "Nana" is displayed in the reading display area 414. Voiceprint authentication is possible, and it is the same as the user of voiceprint authentication on the user authentication screen 400-d5. Since 4-digit voiceprint authentication can be performed continuously, the authentication is successful.

In the example of FIG. 5 (e), the user cannot be authenticated with the password "41569".
"4" is displayed in the password character display area 412 of the user authentication screen 400-e1, and "Yon" is displayed in the reading display area 414. Since voiceprint authentication could not be performed, the user authentication screen 400-e2 is displayed.
"1" is displayed in the password character display area 412 of the user authentication screen 400-e2, and "Ichi" is displayed in the reading display area 414. Since the voiceprint authentication has been completed, the user authentication screen 400-e3 is displayed.
"5" is displayed in the password character display area 412 of the user authentication screen 400-e3, and "go" is displayed in the reading display area 414. Since voiceprint authentication could not be performed, the user authentication screen 400-e4 is displayed.
"6" is displayed in the password character display area 412 of the user authentication screen 400-e4, and "Roku" is displayed in the reading display area 414. Since voiceprint authentication can be performed and the user is the same as the voiceprint authentication user on the user authentication screen 400-e2, the user authentication screen 400-e5 is displayed.
"9" is displayed in the password character display area 412 of the user authentication screen 400-e5, and "Kyu" is displayed in the reading display area 414. Voiceprint authentication could not be performed, and the number of times reached 3 times, so authentication failed.

FIG. 6 is a flowchart showing a processing example according to the first embodiment. In the example shown in FIG. 3, the password was statically determined, but in the example shown in FIG. 6, the password is dynamically generated. The flowchart shown in the example of FIG. 6 is obtained by adding steps S602 and S622 to the flowchart shown in the example of FIG.

In step S602, a password generation rule is created. As a password generation rule, for example, a password may be generated by using a random number having a predetermined number of digits, or a password may be generated by using a predetermined function. The number of digits can be set arbitrarily. For example, it may be 4 digits or the like. The number of digits may also be variable according to the password generation rule.
In step S604, a password is generated according to the password generation rule.

In step S606, a single digit password is displayed on the user authentication screen.
In step S608, the voice is received.

In step S610, it is determined whether or not the timeout time has elapsed, and if it has elapsed, the process proceeds to step S622, and if not, the process proceeds to step S612.

In step S612, the input voice is determined, and if it is OK, the process proceeds to step S614, and if it is NG, the process proceeds to step S618.
In step S614, it is determined whether or not the authentication conditions are met, and if they match, the process proceeds to step S616, and if not, the process returns to step S606.

In step S616, the authentication is successful.
In step S618, it is determined whether or not the number of possible failures has been reached, and if it is reached, the process proceeds to step S620, and if not, the process proceeds to step S622.

In step S620, the authentication fails.
In step S622, the password is changed according to the password generation rule, and the process returns to step S606.

There are the following two methods for generating the learning model of the authentication (A) module 130.
(1) Method of learning and inferring all data at once (corresponding to the second embodiment)
-Add additional data for each character when learning for voiceprint data authentication.
-Inference is performed by adding additional data corresponding to the displayed characters to the voiceprint data acquired at the time of inference.
(2) Method of learning / inferring character by character (corresponding to the third embodiment)

<Second embodiment>
FIG. 7 is a conceptual module configuration diagram for a configuration example of the second embodiment.
The machine learning device (A) 700 includes a character string generation module 705, a display control module 710, a display device 715, a voice reception module 720, a machine learning module 725, and a transmission module 740.

The character string generation module 705 is connected to the display control module 710. The character string generation module 705 may include individual characters constituting the character string generated by the character string generation module 105 of the information processing apparatus 100. For example, as described above, in the case of the number string generated by the character string generation module 105 of the information processing apparatus 100, the character string generated by the character string generation module 705 is a character string including 0 to 9. Specifically, it may be a character string in which 0 to 9 are arranged in order, or a character string randomly rearranged in order to make the display similar to that in the information processing apparatus 100. The number of characters constituting the character string generated by the character string generation module 105 of the information processing apparatus 100 is a plurality.

The display control module 710 is connected to the character string generation module 705, the display device 715, and the learning data generation module 730 of the machine learning module 725. The display control module 710 has the same function as the display control module 110 of the information processing apparatus 100 shown in the example of FIG. That is, by performing display control equivalent to the display control in the authentication process in the information processing device 100, the environment for generating the learning model is the same as the environment in the authentication process in the information processing device 100 for the user. .. The display control module 710 displays one character or a plurality of characters to one user a plurality of times.
The display device 715 is connected to the display control module 710. The display device 715 has the same function as the display device 115 of the information processing device 100 shown in the example of FIG.

The voice reception module 720 is connected to the learning data generation module 730 of the machine learning module 725. The voice reception module 720 receives the user's voice by, for example, a microphone or the like. Then, the voice reception module 720 receives voices uttered by a plurality of predetermined users for one or a plurality of predetermined characters.
Here, the "predetermined user" is a user to be authenticated. Specifically, it is a user who is permitted to use the target device or service.

The machine learning module 725 has a learning data generation module 730 and a learning module 735, and is connected to the transmission module 740. The machine learning module 725 generates one learning model by using one character or a plurality of characters displayed by the display control module 710 and the voice received by the voice reception module 720 corresponding to the one character or a plurality of characters. To do.

The learning data generation module 730 is connected to the display control module 710, the voice reception module 720, and the learning module 735. The learning data generation module 730 generates data in which predetermined information is added to the voice for each one character or a plurality of characters as learning data for authentication. Here, the "predetermined information" is information defined for each "single character or a plurality of characters" displayed by the display control module 710. That is, the information may be any information that can uniquely identify the "one character or a plurality of characters". As a result, learning data in which the differences are clarified even if the characters have similar readings are generated. For example, the reading "Ichi" of "1" and the reading "Hachi" of "8" are similar, and it is difficult to distinguish them. By adding "0x10" to the voice data of "Ichi" and adding "0x80" to the voice data of "Hachi" as "defined information", the difference between the two is clarified.

The learning module 735 is connected to the learning data generation module 730. The learning module 735 uses the learning data generated by the learning data generation module 730 to perform learning for authentication using voice to generate one learning model. As the learning here, the existing technology may be used. For example, a decision tree, a Naive Bayes model, a decision list, a support vector machine, a maximum entropy method, a conditional random field, and the like may be used.

The transmission module 740 is connected to the machine learning module 725. The transmission module 740 transmits the learning model generated by the learning module 735 to the information processing device 100. The received information processing device 100 sets the learning model as the authentication (A) module 130.

8 and 9 are explanatory views showing a processing example according to the second embodiment.
As a learning method of voiceprint data, a machine learning device (using learning unit data 800, which is voiceprint data obtained by reading out the numbers "0" to "9" for four people, Mr. A, Mr. B, Mr. C, and Mr. D, ( A) 700 performs learning. That is, as the learning unit data 800 shown in the example of FIG. 8, 40 characters are learned in a batch. However, at that time, additional data is added to the voiceprint data of each number. Specifically, as shown in the example of FIG. 9, "0x00" which is the additional data 910b is added to the voiceprint data 910a of "0", and "0x10" which is the additional data 911b is added to the voiceprint data 911a of "1". In addition, the additional data 912b "0x20" is added to the voiceprint data 912a of "2", the additional data "0x30" is added to the voiceprint data 913a of "3", and the additional data 914a is added to the voiceprint data 914a of "4". Add "0x40" which is 914b, add "0x50" which is additional data 915b to voiceprint data 915a of "5", add "0x60" which is additional data 916b to voiceprint data 916a of "6", and add "7". The additional data 917b "0x70" is added to the voiceprint data 917a of "8", the additional data "0x80" is added to the voiceprint data 918a of "8", and the additional data 919b "0x90" is added to the voiceprint data 919a of "9". ] Is added to make the training data. Note that "0x" indicates that the number following it is a hexadecimal number.
Since learning is performed using the learning unit data 800, only one learning model is generated.

When the user is authenticated using the learning model generated by the machine learning device (A) 700, the voiceprint data received by the voice reception module 120 of the information processing device 100 is the number displayed on the display device 115 at that time. Add the corresponding additional data to. For example, when "0" is displayed on the display device 115, "0x00" is added to the voiceprint data received by the voice reception module 120 during the displayed period.

FIG. 10 is an explanatory diagram showing a processing example according to the second embodiment.
First, "Please pronounce the password" is displayed on the user authentication screen 400.
Next, "0 (zero)" is displayed on the user authentication screen 400. The user 1010 who sees it reads out "0" 1012a. The voice reception module 120 receives voiceprint data 1020a. Then, the additional data 1030a is added to the voiceprint data 1020a to generate the composite data 1040a. Using the learning model 1050 generated by the machine learning device (A) 700, the synthetic data 1040a is authenticated as the recognition result "0" 1060a by the user 1010. The additional data 1030a is the additional data 910b corresponding to "0" displayed on the user authentication screen 400 when the voiceprint data 1020a is received.
Next, "8 (bee)" is displayed on the user authentication screen 400. The user 1010 who sees it reads out "8" 1012b. The voice reception module 120 receives voiceprint data 1020b. Then, the additional data 1030b is added to the voiceprint data 1020b to generate the composite data 1040b. Using the learning model 1050 generated by the machine learning device (A) 700, the synthetic data 1040b is authenticated as the recognition result "8" 1060b by the user 1010. The additional data 1030b is the additional data 918b corresponding to "8" displayed on the user authentication screen 400 when the voiceprint data 1020b is received.
Next, "7 (Nana)" is displayed on the user authentication screen 400. The user 1010 who sees it reads out "7" 1012c. The voice reception module 120 receives voiceprint data 1020c. Then, the additional data 1030c is added to the voiceprint data 1020c to generate the composite data 1040c. Using the learning model 1050 generated by the machine learning device (A) 700, the synthetic data 1040c is authenticated as the recognition result "7" 1060c by the user 1010. The additional data 1030c is the additional data 917b corresponding to "7" displayed on the user authentication screen 400 when the voiceprint data 1020c is received.
Next, "3 (Sun)" is displayed on the user authentication screen 400. The user 1010 who sees it reads "3" 1012d. The voice reception module 120 receives the voiceprint data 1020d. Then, the additional data 1030d is added to the voiceprint data 1020d to generate the composite data 1040d. Using the learning model 1050 generated by the machine learning device (A) 700, the synthetic data 1040d is authenticated as the recognition result "3" 1060d by the user 1010. The additional data 1030d is the additional data 913b corresponding to "3" displayed on the user authentication screen 400 when the voiceprint data 1020d is received.

<Third embodiment>
FIG. 11 is a conceptual module configuration diagram for a configuration example of the third embodiment.
The machine learning device (B) 1100 includes a character string generation module 1105, a display control module 1110, a display device 1115, a voice reception module 1120, a machine learning module 1125, and a transmission module 1140.
The character string generation module 1105 is connected to the display control module 1110. The character string generation module 1105 has the same function as the character string generation module 705 of the machine learning device (A) 700 shown in the example of FIG.
The display control module 1110 is connected to the character string generation module 1105, the display device 1115, and the learning data generation module 1130 of the machine learning module 1125. The display control module 1110 has the same function as the display control module 710 of the machine learning device (A) 700 shown in the example of FIG.
The display device 1115 is connected to the display control module 1110. The display device 1115 has the same function as the display device 715 of the machine learning device (A) 700 shown in the example of FIG.

The voice reception module 1120 is connected to the learning data generation module 1130 of the machine learning module 1125. The voice reception module 1120 receives the user's voice by, for example, a microphone or the like. Then, the voice reception module 1120 receives voices uttered by a plurality of predetermined users for one or a plurality of predetermined characters.

The machine learning module 1125 has a learning data generation module 1130, a learning module 1135a, a learning module 1135b, and a learning module 1135c, and is connected to the transmission module 1140. The machine learning module 1125 is displayed by the display control module 1110 using one character or a plurality of characters displayed by the display control module 1110 and the voice received by the voice reception module 1120 corresponding to the one character or a plurality of characters. Generate a learning model for each character that constitutes one or more characters. That is, a plurality of learning models will be generated.

The learning data generation module 1130 is connected to a display control module 1110, a voice reception module 1120, a learning module 1135a, a learning module 1135b, and a learning module 1135c. The learning data generation module 1130 generates a predetermined voice for each one character or a plurality of characters as learning data for authentication.

The learning module 1135a and the like are connected to the learning data generation module 1130. The learning module 1135a and the like use the learning data generated by the learning data generation module 1130 to perform learning for authentication using voice and generate a learning model for each character or a plurality of characters. For example, when the character string generation module 1105 generates a number string, the learning module 1135a or the like is assigned to each character from 0 to 9. Specifically, the learning module 1135a and the like are character-by-character learning models, such as the learning module 1135a that generates a learning model for the number "1" and the learning module 1135b that generates a learning model for the number "2". To generate. As the learning here, the existing technology may be used. For example, a decision tree, a Naive Bayes model, a decision list, a support vector machine, a maximum entropy method, a conditional random field, and the like may be used.

The transmission module 1140 is connected to the machine learning module 1125. The transmission module 1140 transmits the learning model generated by the learning module 1135a or the like to the information processing apparatus 100. The received information processing device 100 sets the plurality of learning models as the authentication (A) module 130.

FIG. 12 is an explanatory diagram showing a processing example according to the third embodiment.
As a learning method of voice pattern data, learning unit data 1200, learning unit data 1201, which are voice pattern data read out from each of the numbers "0" to "9" for four people, Mr. A, Mr. B, Mr. C, and Mr. D, Machine learning device (B) 1100 using learning unit data 1202, learning unit data 1203, learning unit data 1204, learning unit data 1205, learning unit data 1206, learning unit data 1207, learning unit data 1208, learning unit data 1209. Do learning. That is, a learning model is generated using the learning unit data 1200, a learning model is generated using the learning unit data 1201, a learning model is generated using the learning unit data 1202, and a learning model is generated using the learning unit data 1203. Is generated, a learning model is generated using the learning unit data 1204, a learning model is generated using the learning unit data 1205, a learning model is generated using the learning unit data 1206, and the learning unit data 1207 is used. A learning model is generated, a learning model is generated using the learning unit data 1208, a learning model is generated using the learning unit data 1209, and a total of 10 learning models are generated.

FIG. 13 is an explanatory diagram showing a processing example according to the third embodiment.
First, "Please pronounce the password" is displayed on the user authentication screen 400.
Next, "0 (zero)" is displayed on the user authentication screen 400. The user 1310 who sees it reads aloud as voice (0) 1312a. The voice reception module 120 receives voiceprint data 1320a. Then, using the voice model (0) 1350, the voiceprint data 1320a is authenticated as the recognition result (0) 1360a by the user 1310. The voice model (0) 1350 is a learning model corresponding to "0" displayed on the user authentication screen 400 when the voiceprint data 1320a is received.
Next, "8 (bee)" is displayed on the user authentication screen 400. The user 1310 who sees it reads out the voice (8) 1312b. The voice reception module 120 receives voiceprint data 1320b. Then, using the voice model (8) 1358, the voiceprint data 1320b is authenticated as the recognition result (8) 1360b by the user 1310. The voice model (8) 1358 is a learning model corresponding to "8" displayed on the user authentication screen 400 when the voiceprint data 1320b is received.
Next, "7 (Nana)" is displayed on the user authentication screen 400. The user 1310 who sees it reads out the voice (7) 1312c. The voice reception module 120 receives voiceprint data 1320c. Then, using the voice model (7) 1357, the voiceprint data 1320c is authenticated as the recognition result (7) 1360c by the user 1310. The voice model (7) 1357 is a learning model corresponding to "7" displayed on the user authentication screen 400 when the voiceprint data 1320c is received.
Next, "3 (Sun)" is displayed on the user authentication screen 400. The user 1310 who sees it reads out the voice (3) 1312d. The voice reception module 120 receives the voiceprint data 1320d. Then, using the voice model (3) 1353, the voiceprint data 1320d is authenticated as the recognition result (3) 1360d by the user 1310. The voice model (3) 1353 is a learning model corresponding to "3" displayed on the user authentication screen 400 when the voiceprint data 1320d is received.

A hardware configuration example of the information processing device 100, the machine learning device (A) 700, and the machine learning device (B) 1100 of the present embodiment will be described with reference to FIG. The configuration shown in FIG. 14 is configured by, for example, a personal computer or the like, and shows an example of a hardware configuration including a data reading unit 1417 such as a scanner and a data output unit 1418 such as a printer.

The CPU (abbreviation of Central Processing Unit) 1401 includes various modules described in the above-described embodiment, that is, a character string generation module 105, a display control module 110, a user authentication module 125, an authentication (A) module 130, and authentication ( B) Module 135, character string generation module 705, display control module 710, machine learning module 725, learning data generation module 730, learning module 735, transmission module 740, character string generation module 1105, display control module 1110, display device 1115, It is a control unit that executes a process according to a computer program that describes an execution sequence of each module such as a machine learning module 1125, a learning data generation module 1130, a learning module 1135, and a transmission module 1140.

The ROM (abbreviation of Read Only Memory) 1402 stores programs, calculation parameters, and the like used by the CPU 1401. The RAM (abbreviation of Random Access Memory) 1403 stores a program used in the execution of the CPU 1401, parameters that are appropriately changed in the execution, and the like. These are connected to each other by a host bus 1404 composed of a CPU bus or the like.

The host bus 1404 is connected to an external bus 1406 such as a PCI (Peripheral Component Interconnect / Interface) bus via a bridge 1405.

A pointing device 1409 such as a keyboard 1408 and a mouse is a device operated by an operator. The display 1410, which is an example of the display device 115, the display device 715, and the display device 1115, includes a liquid crystal display device or a CRT (abbreviation of Cathode Ray Tube), and displays various information as text or image information. Further, a touch screen or the like having the functions of both the pointing device 1409 and the display 1410 may be used. In that case, regarding the realization of the keyboard function, a keyboard (also called a so-called software keyboard, screen keyboard, etc.) is drawn by software on the screen (for example, touch screen) without physically connecting like the keyboard 1408. It may be possible to realize the function of the keyboard.

The HDD (abbreviation of Hard Disk Drive) 1411 has a built-in hard disk (a flash memory or the like may be used in addition to the hard disk), drives the hard disk, and records or reproduces programs and information executed by the CPU 1401. The HDD 1411 stores the voice data received by the voice reception module 120, the learning model for recognition, the rules, the result data of the processing by the user authentication module 125, and the like. In addition, various other data, various computer programs, etc. are stored.

The drive 1412 reads out the data or program recorded on the removable recording medium 1413 such as the mounted magnetic disk, optical disk, magneto-optical disk, or semiconductor memory, and transfers the data or program to the interface 1407 and the external bus 1406. , Bridge 1405, and RAM 1403 connected via host bus 1404. The removable recording medium 1413 can also be used as a data recording area.

The connection port 1414 is a port for connecting the external connection device 1415, and has a connection portion such as USB or IEEE 1394. A voice reception module 120, a voice reception module 720, a microphone which is an example of the voice reception module 1120, and the like are connected to the connection port 1414 as an external connection device 1415. The connection port 1414 is connected to the CPU 1401 and the like via the interface 1407, the external bus 1406, the bridge 1405, the host bus 1404, and the like. The communication unit 1416 is connected to the communication line and executes data communication processing with the outside. The data reading unit 1417 is, for example, a scanner, and executes a document reading process. The data output unit 1418 is, for example, a printer, and executes a document data output process.

Among the above-described embodiments, in the case of a computer program, the system of the present hardware configuration is made to read the computer program which is software, and the software and the hardware resources cooperate with each other to carry out the above-described embodiment. Is realized.
The hardware configuration of the information processing device 100 and the like shown in FIG. 14 shows one configuration example, and the present embodiment is not limited to the configuration shown in FIG. 14, and the module described in the present embodiment is not limited to the configuration shown in FIG. Any configuration can be used. For example, as a processor, a GPU (abbreviation of Graphics Processing Unit, including GPGPU (abbreviation of General-Purpose computing on Graphics Processing Units)) may be used, or some modules may be used with dedicated hardware (for example, for a specific application). It is composed of an integrated circuit (specific example, there is an ASIC (abbreviation of Application Specific Integrated System), etc.) and a reconfigurable integrated circuit (specific example, there is an FPGA (abbreviation of Field-Programmable Gate Array), etc.). In some cases, some modules may be in an external system and connected by a communication line, or a plurality of systems shown in FIG. 14 may be connected to each other by a communication line so as to cooperate with each other. In addition to personal computers, mobile information communication devices (including mobile phones, smartphones, mobile devices, wearable computers, etc. as mobile information communication devices), information appliances, robots, copying machines, fax machines, scanners, printers, etc. It may be incorporated in a compound machine (the compound machine is an image processing device having any two or more functions such as a scanner, a printer, a copying machine, and a fax machine).

Further, in the comparison process in the description of the above-described embodiment, "greater than or equal to", "less than or equal to", "greater than", and "less than (less than)" are examples, and the combination is inconsistent. May be "greater than", "less than (less than)", "greater than or equal to", and "less than or equal to", respectively, as long as
In addition, the above-mentioned various embodiments may be combined, and the technique described in the background technique may be adopted as the processing content of each module. For example, two types of a learning model according to the second embodiment and a learning model according to the third embodiment are generated, and the authentication (A) module 130 switches between the two learning models for use. You may. Specifically, the authentication (A) module 130 performs authentication using the learning model according to the second embodiment, and when the authentication rate is lower than a predetermined value, the third embodiment is performed. Authentication may be performed using a learning model based on the form. The reverse may also be true. Further, the authentication (A) module 130 authenticates the voice received by the voice reception module 120 using the learning model according to the second embodiment and the learning model according to the third embodiment, and both perform authentication. If they match, the user may have successfully authenticated on that character. In the case of a mismatch, the user's authentication on that character may fail.

The described program may be stored in a recording medium and provided, or the program may be provided by a communication means. In that case, for example, the program described above may be regarded as an invention of "a computer-readable recording medium on which the program is recorded".
The "computer-readable recording medium on which a program is recorded" means a computer-readable recording medium on which a program is recorded, which is used for program installation, execution, program distribution, and the like.
The recording medium is, for example, a digital versatile disc (DVD), which is a standard established by the DVD Forum "DVD-R, DVD-RW, DVD-RAM, etc." and DVD + RW. Standards such as "DVD + R, DVD + RW, etc.", compact discs (CD), read-only memory (CD-ROM), CD recordable (CD-R), CD rewritable (CD-RW), etc., Blu-ray discs (CD-RW) Blu-ray (registered trademark) Disc), optical magnetic disk (MO), flexible disk (FD), magnetic tape, hard disk, read-only memory (ROM), electrically erasable and rewritable read-only memory (EEPROM (registered trademark)) )), Flash memory, random access memory (RAM), SD (abbreviation of Secure Digital) memory card and the like.
Then, the whole or a part of the program may be recorded on the recording medium and stored, distributed, or the like. Further, by communication, for example, a wired network used for a local area network (LAN), a metropolitan area network (MAN), a wide area network (WAN), the Internet, an intranet, an extranet, or wireless communication. It may be transmitted using a transmission medium such as a network or a combination thereof, or may be carried on a carrier.
Further, the program may be a part or all of other programs, or may be recorded on a recording medium together with a separate program. Further, the recording may be divided into a plurality of recording media. Further, it may be recorded in any mode as long as it can be restored, such as compression and encryption.

100 ... Information processing device 105 ... Character string generation module 110 ... Display control module 115 ... Display device 120 ... Voice reception module 125 ... User authentication module 130 ... Authentication (A) module 135 ... Authentication (B) module 200 ... Image processing device 290 … Communication line 700… Machine learning device (A)
705 ... Character string generation module 710 ... Display control module 715 ... Display device 720 ... Voice reception module 725 ... Machine learning module 730 ... Learning data generation module 735 ... Learning module 740 ... Transmission module 1100 ... Machine learning device (B)
1105 ... Character string generation module 1110 ... Display control module 1115 ... Display device 1120 ... Voice reception module 1125 ... Machine learning module 1130 ... Learning data generation module 1135 ... Learning module 1135a ... Learning module 1135b ... Learning module 1135c ... Learning module 1140 ... Transmission module

Claims (13)

A display control means for controlling a character string including a plurality of characters to display one character or a plurality of characters in the character string, and
A reception means that receives the voice of the user who utters the characters displayed by the display control means, and
The first authentication means that authenticates each one-character or multiple-character voice,
An information processing device having a second authentication means that authenticates a user who has emitted the voice by applying a predetermined rule to a plurality of authentication results by the first authentication means. The display control means controls so that one character or a plurality of characters in the character string is displayed in a plurality of times.
The first authentication means authenticates each character displayed by the display control means.
The information processing device according to claim 1. If the second authentication means fails to authenticate by the first authentication means a predetermined number of times, the second authentication means fails to authenticate.
The information processing device according to claim 2. The display control means controls so as to display the reading kana of the characters to be displayed.
The information processing device according to claim 1. If the receiving means does not receive the voice within a predetermined time, or if the authentication by the first authentication means is not performed, the display control means displays the following characters. Control,
The information processing device according to claim 2. It further has a generation means for generating the character string to be displayed by the display control means according to the security level.
The display control means controls to display one or more characters in the character string generated by the generation means.
The information processing device according to claim 1. A reception means for receiving voices uttered by a plurality of predetermined users for a predetermined character or a plurality of characters.
A generation means for generating data in which predetermined information is added to the voice for each one character or a plurality of characters as learning data for authentication.
An information processing device having a learning model generating means for generating one learning model by performing learning for authentication using voice using the learning data generated by the generating means. The first authentication means authenticates using the learning model generated by the information processing apparatus according to claim 7.
The information processing device according to claim 1. A reception means for receiving voices uttered by a plurality of predetermined users for a predetermined character or a plurality of characters.
A generation means for generating a predetermined voice for each one character or a plurality of characters as learning data for authentication, and
An information processing device having a learning model generating means for generating a learning model for each character or a plurality of characters by performing learning for authentication using voice using the learning data generated by the generating means. The first authentication means is a learning model generated by the information processing apparatus according to claim 9, and authentication is performed using a learning model corresponding to one character or a plurality of characters displayed by the display control means. ,
The information processing device according to claim 1. Computer,
A display control means for controlling a character string including a plurality of characters to display one character or a plurality of characters in the character string, and
A reception means that receives the voice of the user who utters the characters displayed by the display control means, and
The first authentication means that authenticates each one-character or multiple-character voice,
An information processing program for functioning as a second authentication means for authenticating a user who has emitted a voice by applying a predetermined rule to a plurality of authentication results by the first authentication means. Computer,
A reception means for receiving voices uttered by a plurality of predetermined users for a predetermined character or a plurality of characters.
A generation means for generating data in which predetermined information is added to the voice for each one character or a plurality of characters as learning data for authentication.
An information processing program for functioning as a learning model generation means for generating one learning model by performing learning for authentication using voice using the learning data generated by the generation means. Computer,
A reception means for receiving voices uttered by a plurality of predetermined users for a predetermined character or a plurality of characters.
A generation means for generating a predetermined voice for each one character or a plurality of characters as learning data for authentication, and
An information processing program for functioning as a learning model generation means for generating a learning model for each character or a plurality of characters by performing learning for authentication using voice using the learning data generated by the generation means.