JP2015022357A - Information processing system, information processing method, and information processing device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information processing system capable of displaying appropriate content depending on a language used by a target and an interest level of the target, an information processing method, and an information processing device.SOLUTION: On the basis of a voice signal acquired with a microphone 5, a target attribute estimation unit 14 estimates an attribute of a target, a content selection acquisition unit 15 selects and acquires content on the basis of the attribute estimated by the target attribute estimation unit 14, and a display device 2 or an image projection device 3 displays the content acquired by the content selection acquisition unit 15 to the target.

Description

  The present invention relates to an information processing system, an information processing method, and an information processing apparatus that provide digital signage.

  In recent years, with the improvement of network and display performance, digital signage that displays information that combines video and audio on a display and provides information to a target has attracted attention. Digital signage has higher expressive power than existing posters and signboards, and can display content according to location and time, so it can provide information while giving a strong impression to the target. Therefore, we use information from various sensors such as cameras to observe the attributes and appearances of the target such as gender and age, analyze the human figure of the target that showed interest in the content, and select content that is likely to be interested in the target. Technology that automatically displays has been developed.

  For example, Patent Documents 1 and 2 describe a technique for capturing an image of a target face and estimating an attribute from the feature. Japanese Patent Application Laid-Open No. 2003-228561 describes a technique for analyzing the features of a face and movement from a target video and switching the language used for the content.

  Patent Document 4 describes a technique for voice recognition of target conversation and collecting it as customer information. Japanese Patent Application Laid-Open No. 2004-228620 has a technique for displaying guidance information by switching the language used at regular time intervals, and selecting one of the language used according to the operation performed in response to the user to display the content. Have been described.

  However, with the techniques for estimating target attributes from facial features described in Patent Documents 1 and 2, it is difficult to estimate the target language. For example, it is difficult to estimate the Japanese who uses Japanese and the Chinese who use Chinese from the facial features alone. Therefore, according to this technique, it has been difficult to select a language to be used according to a target and display content.

  Further, according to the technique for estimating the attribute of a target from the video described in Patent Document 3, it is difficult to distinguish whether the target is simply looking at information or looking at it with interest. . Therefore, it has been difficult to display appropriate content according to the degree of interest of the target.

  The present invention has been made in view of the above, and an object of the present invention is to provide an information processing system, an information processing method, and an information processing apparatus capable of displaying appropriate content in accordance with a target attribute.

  In order to solve the above-described problems and achieve the object, the present invention provides an audio acquisition unit that acquires an audio signal including target audio, and an audio signal acquired by the audio acquisition unit based on the audio signal acquired by the audio acquisition unit. Target attribute estimation means for estimating an attribute; content selection acquisition means for selecting and acquiring content based on the attribute estimated by the target attribute estimation means; and the content acquired by the content selection acquisition means Display means for displaying toward the target.

  According to the present invention, there is an effect that appropriate content can be displayed according to the attribute of the target.

FIG. 1 is a schematic view illustrating the configuration of an information processing system according to the first embodiment. FIG. 2 is a diagram illustrating a hardware configuration of the information processing apparatus according to the first embodiment. FIG. 3 is a diagram illustrating a hardware configuration of the image projection apparatus according to the first embodiment. FIG. 4 is a block diagram illustrating a functional configuration of the information processing apparatus according to the first embodiment. FIG. 5 is a diagram illustrating a data configuration of the content attribute table. FIG. 6 is a flowchart illustrating an information processing procedure in the information processing apparatus. FIG. 7 is an explanatory diagram for explaining a method of estimating a target attribute. FIG. 8 is an explanatory diagram for explaining an interest level estimation method. FIG. 9 is a diagram illustrating another data configuration example of the content attribute table. FIG. 10 is an explanatory diagram for explaining the adjustment of the display position of the content. FIG. 11 is a block diagram illustrating a functional configuration of the information processing apparatus according to the second embodiment. FIG. 12 is a flowchart illustrating an information processing procedure according to the second embodiment. FIG. 13 is an explanatory diagram for explaining an interest level estimation method. FIG. 14 is an explanatory diagram for explaining the adjustment of the display position of the content.

  Hereinafter, embodiments of an information processing system, an information processing method, and an information processing apparatus will be described in detail with reference to the accompanying drawings. In addition, this invention is not limited by this embodiment. Moreover, in description of drawing, the same code | symbol is attached | subjected and shown to the same part.

(First embodiment)
[Configuration of information processing system]
FIG. 1 is a schematic diagram showing the configuration of the information processing system according to the first embodiment of the present invention. As shown in FIG. 1, the information processing system 10 includes an information processing device 1, a display device 2, an image projection device 3, a server 4, a microphone 5, and the like, and is connected to each other via a data transmission path N. . Note that the information processing apparatus 1 may include a microphone 5, the display apparatus 2, the image projection apparatus 3, and the like, and may be integrated hardware.

  The server 4 is a device having an arithmetic device and a large-capacity storage device and having a server function, and corresponds to a server device, a unit device, or the like. The server 4 according to the present embodiment stores contents to be displayed on the display device 2 and the image projection device 3 as display means. The microphone 5 is installed in the vicinity of the projection surface of the display device 2 or the image projection device 3 as a sound acquisition unit, and acquires a sound signal including target sound. The data transmission path N corresponds to various network communication paths such as a LAN (Local Area Network), an intranet, Ethernet (registered trademark), or the Internet. It does not matter whether the network communication path is wired or wireless. The data transmission path N includes various bus communication paths such as USB (Universal Serial Bus).

  The information processing apparatus 1 is a device that includes an arithmetic device and has an information processing function, and includes an information terminal such as a tablet. As shown in FIG. 2, the information processing apparatus 1 includes a CPU (Central Processing Unit) 101, a main storage device 102, an auxiliary storage device 103, a communication IF (interface) 104, an external IF 105, and the like. Connected to each other.

  The CPU 101 is an arithmetic device for realizing control of the entire information processing apparatus 1 and mounting functions. The main storage device 102 is a storage device (memory) that holds programs, data, and the like in a predetermined storage area. The main storage device 102 is, for example, a ROM (Read Only Memory) or a RAM (Random Access Memory). The auxiliary storage device 103 is a storage device having a storage area with a larger capacity than the main storage device 102. The auxiliary storage device 103 is a non-volatile storage device such as an HDD (Hard Disk Drive) or a memory card (Memory Card). The auxiliary storage device 103 includes storage media such as a flexible disk (FD), a CD (Compact Disk), and a DVD (Digital Versatile Disk). Therefore, for example, the CPU 101 reads out programs and data from the auxiliary storage device 103 to the main storage device 102 and executes processing, thereby realizing control and mounting functions of the entire information processing apparatus 1.

  The communication IF 104 is an interface that connects the information processing apparatus 1 to the data transmission path N. As a result, the information processing apparatus 1 can perform data communication with the display device 2, the image projection device 3, and the server 4. The external IF 105 is an interface for transmitting and receiving data between the information processing apparatus 1 and the external device 106. The external device 106 includes, for example, an input device such as a numeric keypad and a touch panel that accepts an operation input, an external storage device having a large-capacity storage area, and a drive device that writes or reads various storage media.

  The display device 2 corresponds to a liquid crystal display or the like, and displays various contents such as processing results in the information processing device 1 as well as the selected content as a result of information processing in the information processing device 1 described later toward the target. .

  The image projection device 3 is a device having an optical projection engine and having a projection function, and corresponds to a projector or the like. In the present embodiment, the image projection device 3 projects the same content as the content displayed on the display device 2 onto the projection plane. As illustrated in FIG. 3, the image projection apparatus 3 includes a CPU 301, a memory controller 302, a main memory 303, a host-PCI (Peripheral Component Interconnect) bridge 304, and the like. The memory controller 302 is connected to the CPU 301, the main memory 303, the host-PCI bridge 304, and the like via the host bus 311.

  The CPU 301 is an arithmetic device that performs overall control of the image projection device 3. The memory controller 302 is a control circuit that controls reading and writing with respect to the main memory 303. The main memory 303 is, for example, a semiconductor memory used as a program or data storage memory, a program or data expansion memory, a drawing memory, or a drawing memory.

  The host-PCI bridge 304 is a bridge circuit for connecting peripheral devices and PCI devices 305. The host-PCI bridge 304 is connected to the memory card 306 via the HDD I / F 312. The host-PCI bridge 304 is connected to the PCI device 305 via the PCI bus 313. The host-PCI bridge 304 is connected to the communication card 307, the wireless communication card 308, the video card 309, and the like via the PCI bus 313 and the PCI slot 314.

  The memory card 306 is a storage medium used as a boot device for basic software (OS: Operating System). The communication card 307 and the wireless communication card 308 are communication control devices that control the data communication by connecting the image projection device 3 to a network such as a LAN or a communication line. The video card 309 is a display control device that controls display of an image to be output on the projection surface. The control program executed by the image projection apparatus 3 according to the present embodiment is provided by being incorporated in advance in a storage memory of the main memory 303 or the like.

[Configuration of information processing device]
FIG. 4 is a block diagram illustrating a functional configuration of the information processing apparatus 1 according to this embodiment. As illustrated in FIG. 4, the information processing apparatus 1 receives content appropriately distributed from the server 4 and stores the content in the content storage unit 11 realized by various memories. This content is stored in the content storage unit 11 in association with a content number for identifying the content. The content storage unit 11 stores a content attribute table. The content attribute table includes attributes and content numbers as illustrated in FIG. The attribute means attributes such as the sex, age, language used, and interest level of the target that provides information by content. Note that the degree of interest means the degree of interest (high or low) of the target with respect to information provided by the content.

  In addition, the information processing apparatus 1 receives information from the microphone 5 serving as a voice acquisition unit, and the CPU 101 reads out an information processing program from the auxiliary storage device 103, expands it in the RAM, and executes it. Thereby, the RAM functions as the target attribute estimation unit 14 and the content selection acquisition unit 15. The functions of these units will be described later.

  The information processing program executed by the information processing apparatus 1 according to the present embodiment is a file in an installable format or an executable format, and is a CD-ROM, flexible disk (FD), CD-R, DVD (Digital Versatile Disk). ) And the like are provided by being recorded on a computer-readable recording medium.

  In addition, the information processing program executed by the information processing apparatus 1 according to the present embodiment may be stored on a computer connected to a network such as the Internet and provided by being downloaded via the network. . Further, the information processing program executed by the information processing apparatus 1 of the present embodiment may be provided or distributed via a network such as the Internet. Further, the information processing program of the present embodiment may be provided by being incorporated in advance in a ROM or the like.

  The information processing program executed by the information processing apparatus 1 according to the present embodiment has a module configuration including the above-described units (target attribute estimation unit 14 and content selection acquisition unit 15). As actual hardware, the CPU 101 reads out and executes the information processing program from the storage medium, whereby the above-described units are loaded onto the main storage device 102 and the respective units are generated on the main storage device 102.

[Information processing]
FIG. 6 is a flowchart showing an information processing procedure in the information processing apparatus 1. The information processing shown in FIG. 6 is started, for example, at a timing when an operator inputs an information processing start instruction, and the information processing proceeds to the process of step S1.

  In the process of step S1, the microphone 5 acquires an audio signal including the target audio. Thereby, the process of step S1 is completed and information processing progresses to the process of step S2.

  In the process of step S2, the target attribute estimation unit 14 estimates attributes including, for example, the target language and interest level, based on the audio signal acquired in step S1. Thereby, the process of step S2 is completed, and the information processing proceeds to the process of step S3.

  Here, a method for estimating the target attribute will be described with reference to FIG. As shown in FIG. 7, for example, when estimating which attribute of the attributes A, B, and C the target belongs to, the target attribute estimation unit 14 is first acquired as shown in FIG. Extract features of audio signal. The feature amount means, for example, signal energy, frequency spectrum, MFCC (Mel Frequency Cepstrum Coefficient), etc. for each fixed section. Note that the MFCC applied to speech recognition or the like is a feature amount that incorporates the nature of human hearing and is obtained as follows. That is, first, the absolute value of the frequency spectrum obtained by FFT is taken, and the sum of the spectrum of each band is obtained by applying a filter bank at equal intervals on the Mel scale which is a scale of the pitch of the sound according to human hearing. Next, the logarithm is taken and a discrete cosine transform (DCT) is performed to extract a low-order component.

Next, the target attribute estimation unit 14 calculates the likelihood for each attribute model from the extracted feature quantity. The model of each attribute is obtained by modeling the characteristics of each attribute using, for example, GMM (Gaussian mixture model) or HMM (Hidden Markov model). The likelihood calculation target parameter of each model is learned using a feature amount extracted in advance from a sample of each attribute. For example, the parameters of each model are the weight, average, and covariance of each multidimensional Gaussian distribution. Likelihood indicates the likelihood of the model, and the higher the likelihood, the better the model. The likelihood of the attribute can be calculated from the parameter of the attribute model and the extracted feature amount. For example, in the case of GMM, the likelihood is calculated by the following equation (1). Here, L is likelihood, x is a MFCC vector, and w _k is the k-th multidimensional Gaussian distribution.

  Next, the target attribute estimation unit 14 determines which attribute the target belongs to from the likelihood calculated as described above. For example, the target attribute estimation unit 14 determines the attribute of the model having the maximum likelihood as the attribute to which the target belongs.

  Note that three or more attributes or a complex attribute obtained by combining a plurality of attributes can be obtained in the same manner. For example, the target attribute estimation unit 14 includes a combination of a language used (A, B,...) And a degree of interest (high, medium, low) (used language A, high interest level), (used language A, Attributes such as (low interest level) and (use language B, medium interest level) are defined in advance. Then, the target attribute estimation unit 14 calculates the likelihood of the target feature amount for each attribute model, and estimates which attribute the target belongs to.

  In the process of step S3, the content selection / acquisition unit 15 refers to the content attribute table shown in FIG. 5, selects the content corresponding to the attribute estimated in the process of step S2, and acquires it from the content storage unit 11. Thereby, the process of step S3 is completed and information processing progresses to the process of step S4.

  In the process of step S4, the display device 2 or the image projection device 3 as a display unit displays the content acquired in the process of step S3. Thereby, the process of step S4 is completed and a series of information processing is complete | finished.

  In addition, about the interest level which is an example of the attribute in the process of step S2, the estimation method demonstrated below may be employ | adopted. That is, as illustrated in FIG. 8, the target attribute estimation unit 14 first detects the presence / absence of a target utterance and a specific word based on the acquired voice signal, and whether or not these are detected. To estimate the degree of interest. For example, since it is considered that the degree of interest is higher when the target is watching the content while speaking, the presence or absence of the target utterance is used as a measure of the degree of interest. The specific word means, for example, a keyword that is a measure of the degree of interest such as wanting and cheap. Therefore, the target attribute estimation unit 14 estimates that the degree of interest is high when both utterances and specific words are detected, for example. Further, the target attribute estimation unit 14 estimates that the degree of interest is medium when an utterance is detected but a specific word is not detected, and if neither is detected, the degree of interest is estimated to be low. . The specific word is registered in advance in the word database. Alternatively, when the microphone 5 acquires the target audio signal, the specific word included in the content displayed on the projection surface of the display device 2 or the image projection device 3 is automatically registered in the word database. Then, the target attribute estimation unit 14 determines a specific word to be detected with reference to the word database when estimating the degree of interest.

  When the interest level is estimated separately from other attributes as described above, the content attribute table referred to in the process of step S3 may have a form in which the interest level is distinguished from other attributes as shown in FIG. .

  In the content attribute table, content numbers of contents corresponding to attributes such as the degree of interest and the language used are registered in advance. For example, when the interest level is medium, the initial content translated into the target language is associated with the initial content associated with the low interest level. In addition, when the degree of interest is high, content including additional information is associated. Thereby, for example, content according to the target attribute such as the degree of interest and the language used is displayed on the projection surface of the display device 2 or the image projection device 3.

  Further, when the audio signal acquired in the process of step S1 is multi-channel, the information processing apparatus 1 uses the array process such as the DS (Delay and Sum Beamformer) method or the MUSIC (MUltiple SIgnal Classification) method to generate a sound source. By estimating the direction, the position of the target can be detected. In this case, the information processing apparatus 1 displays the display position when the content selected and acquired in the process of step S3 is displayed on the projection surface of the display device 2 or the image projection device 3 according to the detected target position. Can be adjusted. For example, as illustrated in FIG. 10, when the position of the target is detected as the left side of the projection surface of the display device 2 or the image projection device 3, it is selected and acquired by superimposing it on the left side of the content a that is displayed first. The displayed content b can be displayed.

(Second Embodiment)
The information processing system 10 of the second embodiment is configured in the same manner as the information processing system 10 of the first embodiment shown in FIG. 1 except that a camera 6 is provided as a video acquisition unit. FIG. 11 is a diagram illustrating a functional configuration of the information processing apparatus 1 according to the second embodiment. The camera 6 is installed in the vicinity of the projection surface of the display device 2 or the image projection device 3, and acquires a video signal including a target image. According to the information processing program, in addition to the target attribute estimation unit 14 and the content selection acquisition unit 15 similar to those in the first embodiment shown in FIG. Is expanded in the RAM. The information processing system 10 according to the present embodiment acquires a video signal in addition to an audio signal, thereby improving the accuracy of target position detection and detecting the positions of a plurality of targets as will be described later. You can also. Therefore, a plurality of contents can be displayed according to the positions of the targets of a plurality of people.

  Note that the information processing apparatus 1 may include a microphone 5, a camera 6, a display device 2, an image projection device 3, and the like, and may be integrated hardware.

  FIG. 12 illustrates an example of an information processing procedure in the information processing apparatus 1 according to the second embodiment. The information processing shown in FIG. 12 is started, for example, at the timing when the operator inputs an information processing start instruction, as in the information processing of the first embodiment, and the information processing proceeds to the processing of step S11.

  In the process of step S11, similarly to the process of step S1 of the first embodiment described above, the microphone 5 acquires an audio signal including the target audio. In addition, the camera 6 acquires a video signal including the target video. Thereby, the process of step S11 is completed and information processing progresses to the process of step S12.

  In the process of step S12, the target position detection unit 13 determines the position of the target with respect to the projection surface of the display device 2 or the image projection device 3 based on the audio signal and the video signal acquired by the process of step S11. Detect whether or not For example, as described above, the position of the target is detected by estimating the direction of the sound source by array processing such as the DS method or the MUSIC method based on the multi-channel audio signal. In addition, the target position is detected by identifying the face and body of the target from the video signal. In the present embodiment, the detection accuracy of the target position is improved by using the audio signal and the video signal in combination. Thereby, the process of step S12 is completed and information processing progresses to the process of step S13.

  In the process of step S13, the target sound extraction unit 12 extracts the target sound signal from the sound signal acquired by the process of step S11 based on the position of the target detected by the process of step S12. For example, the target sound extraction unit 12 extracts a target sound signal uttered from a plurality of persons included in the video. In addition, when the input audio signal includes noise other than the target audio, the target audio extraction unit 12 extracts only the target audio while reducing the influence thereof. Specifically, when the audio signal is a single channel, the target audio extraction unit 12 performs processing using a spectral subtraction method or the like. When the audio signal has a plurality of channels, the target audio extraction unit 12 performs processing using beam forming such as DS method or MVDR method, or blind sound source separation using ICA (independent component analysis) or the like. . When beam forming or the like is used, the target sound is extracted based on the target position. As described above, by using the audio signal and the video signal in combination, it is possible to detect the positions and voices of a plurality of uttering targets included in the video. Thereby, the process of step S13 is completed, and the information processing proceeds to the process of step S14.

  In the process of step S14, the target attribute estimation unit 14 uses the target audio signal extracted in the process of step S13 and the video signal acquired in step S11. Estimate the attributes of Thereby, the process of step S14 is completed, and the information processing proceeds to the process of step S15.

  The attribute estimation method is the same as the attribute estimation method in the process of step S2. That is, the attribute estimation method shown in FIG. 7 can be applied except that the feature amount of the video signal is extracted in addition to the acquired audio signal. In the present embodiment, the interest level estimation unit 141 of the target attribute estimation unit 14 estimates the target interest level, and the attribute estimation unit 142 estimates other attributes such as the target language used. In the present embodiment, since the video signal is acquired in addition to the audio signal, the accuracy of the interest level estimation is improved. For example, as illustrated in FIG. 13, the interest level estimation unit 141 first detects a target face based on the acquired video signal. Similarly to the processing shown in FIG. 8, the interest level estimation unit 141 detects the presence or absence of a target utterance and a specific word extracted from the word database based on the acquired voice signal. Here, the detection of the face of the target means that the target is watching the content displayed on the projection surface of the display device 2 or the image projection device 3 when the camera 6 acquires the video signal. . Therefore, the interest level estimation unit 141 estimates that the interest level is high when, for example, all of the face, the utterance, and the specific word are detected. The interest level estimation unit 141 estimates that the interest level is medium when a face and an utterance are detected but no specific word is detected, and when the face is detected but no utterance is detected. Presumes that the degree of interest is low.

  Note that, when a face is not detected in the acquired video signal, it means that the target does not see the content, and therefore, the interest level estimation unit 141 transmits notification information, for example, that the system is out of scope. The subsequent processing is canceled or interrupted.

  In the process of step S15, the content selection / acquisition unit 15 selects the content corresponding to the attribute estimated in the process of step S14 with reference to the content attribute table shown in FIG. 5 or FIG. 9 as in the process of step S3. And acquired from the content storage unit 11. Thereby, the process of step S15 is completed, and the information processing proceeds to the process of step S16.

  In the processing of step S16, the display position adjustment unit 16 adjusts the display position when displaying on the projection surface of the display device 2 or the image projection device 3, as shown in FIG. In addition, as described above, since the positions of a plurality of targets can be estimated in the present embodiment, for example, as shown in FIG. 14, different contents are displayed on each of the plurality of targets according to attributes. It is also possible to adjust the display position. Thereby, the process of step S16 is completed, and the information processing proceeds to the process of step S17.

  In the process of step S17, the display device 2 or the image projection apparatus 3 as the display unit displays the content acquired in the process of step S15 at the display position adjusted in the process of step S16. Thereby, the process of step S17 is completed and a series of information processing is complete | finished.

  As described above, according to the present invention, attributes can be estimated by voice, and content corresponding to the estimated attributes can be selected and displayed, so that appropriate content can be displayed according to the target attribute. Further, according to the present invention, the display position of the content can be adjusted according to the position of the target by detecting the position of the target. Further, according to the present invention, the target position can be detected with high accuracy by acquiring the video signal in addition to the audio signal, so that the display position of the content can be adjusted with high accuracy according to the target position. In addition, according to the present invention, since the position of a plurality of targets can be detected by acquiring a video signal in addition to the audio signal, a plurality of contents can be obtained according to the respective positions of the plurality of targets. It can also be displayed.

DESCRIPTION OF SYMBOLS 1 Information processing apparatus 2 Display apparatus 3 Image projector 4 Server 5 Microphone (voice acquisition means)
6 Camera (Video acquisition means)
DESCRIPTION OF SYMBOLS 10 Information processing system 12 Target audio | voice extraction part 13 Target position detection part 14 Target attribute estimation part 141 Interest level estimation part 142 Attribute estimation part 15 Content selection acquisition part 16 Display position adjustment part

JP 2010-191487 A JP 2012-185303 A JP 2012-83925 A JP 2012-118623 A JP 2012-185302 A

Claims (8)

Voice acquisition means for acquiring a voice signal including the target voice;
Target attribute estimation means for estimating the attribute of the target based on the audio signal acquired by the audio acquisition means;
Content selection acquisition means for selecting and acquiring content based on the attribute estimated by the target attribute estimation means;
Display means for displaying the content acquired by the content selection acquisition means toward the target;
An information processing system comprising:   The information processing system according to claim 1, wherein the attribute includes a language used and / or an interest level. Provided with a video acquisition means for acquiring a video signal including the target video,
The target attribute estimation unit estimates a target attribute based on the video signal acquired by the video acquisition unit and the audio signal acquired by the audio acquisition unit. Information processing system described in 1.   The target attribute estimation means estimates the degree of interest by detecting any one or more of a target face, utterance, or a specific word. Information processing system described in 1.   The information processing system according to claim 4, wherein the target attribute estimation unit determines the specific word to be detected from words included in the content. Target position detection means for detecting the position of the target based on the audio signal acquired by the audio acquisition means and / or the video signal acquired by the video acquisition means;
Display position adjusting means for adjusting the display position of the content displayed on the display means based on the position of the target detected by the target position detecting means;
The information processing system according to any one of claims 1 to 5, further comprising: An audio acquisition step for acquiring an audio signal including the target audio;
A target attribute estimation step for estimating an attribute of the target based on the audio signal acquired in the audio acquisition step;
A content selection acquisition step of selecting and acquiring content based on the attribute estimated in the target attribute estimation step;
A display step of displaying the content acquired in the content selection acquisition step toward the target;
An information processing method comprising: Voice acquisition means for acquiring a voice signal including the target voice;
Target attribute estimation means for estimating the attribute of the target based on the audio signal acquired by the audio acquisition means;
Content selection acquisition means for selecting and acquiring content based on the attribute estimated by the target attribute estimation means;
Display means for displaying the content acquired by the content selection acquisition means toward the target;
An information processing apparatus comprising:

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