Information processing apparatus

Abstract

The invention provides an information processing apparatus. The information processing device stores a database that associates information indicating a frequency band of a predetermined noise with each type of generation source of the predetermined noise, which is an abnormal sound that may occur from a vehicle, and generates an abnormal sound on the basis of the database and sound data including a sound that occurs from a predetermined vehicle. The frequency band of each of the one or more predetermined noises and the frequency band of the candidate noise included in the sound data are mapped to a graph in which a frequency is assigned to at least one axis.

Description

Technical Field

[0001] This disclosure relates to information processing devices. Background Technology

[0002] The system analyzes and displays abnormal noises originating from the vehicle. Relatedly, for example, in the inspection and display method disclosed in Japanese Patent Application Publication No. 2023-084834, sound data is obtained from the vehicle, and the component category as the sound source is determined based on the calculated sound pressure and frequency characteristics of the sound data. Then, it is determined whether the component noise is normal or abnormal, and an image of the sound data and frequency data is generated. Finally, the determined component, vehicle model, and the determination result of normal / abnormal noise are displayed on a monitor. Summary of the Invention

[0003] The purpose of this disclosure is to enable easy visual identification of which of the known abnormal sounds the sound of the analyzed object is close to.

[0004] One aspect of the present invention is an information processing device that provides information related to abnormal noises occurring from a vehicle, wherein the information processing device comprises:

[0005] A storage unit stores a database in which information representing a frequency band of a given noise is associated with each type of source of the given noise, the given noise being an abnormal noise that may originate from the vehicle; and

[0006] The control unit performs a process of mapping the frequency bands of one or more predetermined noises contained in the database, and the frequency data obtained by transforming sound data containing sounds generated from predetermined vehicles into the frequency domain, onto a graph that assigns frequencies to at least one axis.

[0007] Alternatively, examples can be given of a program for causing a computer to execute the information processing method executed by the aforementioned information processing device, or a computer-readable storage medium for non-temporarily storing the program.

[0008] According to this disclosure, it is possible to easily visually identify which of the known abnormal noises the sound of the object being analyzed is closest to. Attached Figure Description

[0009] The features, advantages, and technical and industrial significance of exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, in which the same reference numerals show the same elements, and wherein:

[0010] Figure 1 It is a diagram that represents a summary of the diagrams displayed by the server device involved in the implementation method;

[0011] Figure 2This is a diagram illustrating the constituent elements of the server device according to the implementation method;

[0012] Figure 3 This is a flowchart of the processes performed by the server device involved in the implementation method;

[0013] Figure 4 It is a diagram showing the charts displayed by the server device involved in the implementation method;

[0014] Figure 5 This is a flowchart of the process performed by the server device in the variant example;

[0015] Figure 6 This is a diagram representing the chart displayed by the server device involved in the second variation. Detailed Implementation

[0016] summary

[0017] Previously, there was a need for technology to identify abnormal noises originating from vehicles.

[0018] Related to this, there is a technology that analyzes abnormal noises occurring from a vehicle under inspection while it is parked or in motion, and displays what kind of abnormal noise it is.

[0019] For example, existing noise analysis devices can analyze the frequency bands of abnormal noises included in sound data collected from a moving vehicle and display the vehicle components that may be the source along with the probability that they are actually the source.

[0020] Specifically, existing abnormal noise analysis devices acquire sound data from a moving vehicle using a sound pressure visualization device and determine the location of the abnormal noise within the vehicle, thereby estimating the component that is the source of the noise. At this point, the abnormal noise analysis device can display the name of the component that is the source of the abnormal noise and the probability that that component is the source of the noise. For example, as a presumed source of the abnormal noise, the abnormal noise analysis device can output displays such as "transmission gear noise 82%" or "transmission oil pump 10%".

[0021] However, there is room for improvement in existing display methods. For example, when a certain abnormal noise occurs and there are multiple possible sources of the noise, there is a need to clearly identify at a glance which source's frequency band most likely matches the frequency band of the noise. In methods that list and display possible sources along with their probabilities, as in the prior art, when at least some of the predetermined conditions used to determine whether a source matches changes, the displayed sources and their probabilities are changed to completely different sources and their probabilities. Therefore, sometimes the originally displayed sources are not displayed at all. In this case, it is difficult for the user to consistently grasp all possible sources. However, the user wants to be able to consistently and clearly grasp all possible sources by considering the various driving conditions that change constantly when an abnormal noise occurs.

[0022] One aspect of the present invention is an information processing apparatus that provides information related to abnormal noises occurring from a vehicle, comprising: a storage unit storing a database in which information representing frequency bands of a given noise is associated with each type of the given noise as a possible source of the abnormal noise occurring from the vehicle; and a control unit performing the following processing: mapping the frequency bands of one or more of the given noises contained in the database and frequency data obtained by transforming sound data containing sound from a predetermined vehicle to the frequency domain onto a graph on which at least one axis is assigned a frequency.

[0023] Present noise refers to any unusual noise that may occur from a vehicle. Present noise is not limited to any unusual noise that actually occurs, but includes all unusual noises that may occur.

[0024] Frequency data refers to data obtained by transforming sound data containing sounds emitted from a predetermined vehicle into the frequency domain. Frequency data can be obtained, for example, by performing a Fourier transform on the sound data. The sound emitted from the predetermined vehicle could be, for example, noise-containing sounds emitted from a moving vehicle.

[0025] The control unit will convert the sound generated by the vehicle into the frequency domain and map the frequency band of the sound generated by the vehicle and the frequency bands in the database that match the predetermined noise onto a graph that assigns frequencies to at least one axis.

[0026] Based on the above structure, the information processing device of this disclosure can easily visually identify which of the known abnormal noises that may be coming from a vehicle is close to the sound.

[0027] Furthermore, in the above chart, when a frequency band containing a volume of a predetermined value or higher in the above frequency data overlaps with the frequency band of the predetermined noise, the control unit can highlight the corresponding area compared to other areas.

[0028] Therefore, the information processing apparatus of this disclosure can present to the user in an easily understandable manner the frequency band of the sound generated from the predetermined vehicle matches the frequency band of a predetermined noise.

[0029] In addition, the multiple predetermined noises can be noises whose frequency bands vary according to the vehicle's driving speed, and the database can store the relationship between the frequency bands of the multiple predetermined noises and the vehicle's driving speed.

[0030] In addition, the sound data can be associated with the vehicle's speed, and the control unit can update the information in the graph representing the frequency band of a given noise level to information representing the frequency band corresponding to the vehicle's speed.

[0031] According to this structure, even when the frequency band of a given noise changes according to the vehicle's speed, the given noise at the appropriate frequency band can be displayed.

[0032] In addition, the control unit can calculate the frequency band of the predetermined noise based on the vehicle's driving speed.

[0033] Therefore, the information processing apparatus of this disclosure can accurately obtain the frequency band of a given noise.

[0034] The following describes specific embodiments of this disclosure based on the accompanying drawings. Unless otherwise specified, the hardware structures, module structures, and functional structures described in each embodiment are not intended to limit the scope of the disclosed technology to these structures.

[0035] Implementation

[0036] Summary of the processing performed by the server device

[0037] Reference Figure 1 A summary of the processes performed by the server device according to the implementation method will be described. Figure 1 This is a diagram showing a summary of the charts displayed by the server device according to the embodiment. One aspect of this disclosure is an information processing apparatus implemented as a server device 100.

[0038] Server device 100 displays graph 1000. Graph 1000 shows a graph representing multiple established noises and frequency bands of sounds that are candidate noises (abnormal noises) originating from the vehicle. Graph 1000 is, for example, a mapping where the vertical axis represents frequency and the horizontal axis represents the type of component. Specifically, on graph 1000, rectangular graphics are displayed in the areas where the type of component that is the source of a specific abnormal noise intersects with the frequency band of that specific abnormal noise. The frequency can be represented as 0 to 6000 Hz, and the type of component can also be categorized into engine systems (…). Figure 1 ENG), drive system ( Figure 1 HEV) and vehicle system (body system) Figure 1(For vehicles). Within each component category, multiple types of abnormal noises are defined for each frequency. For example, in the engine system, airflow noise, balance gear noise, chain noise, etc., are defined.

[0039] Furthermore, the display method for the various types of abnormal noises defined above can be changed depending on whether the abnormal noise occurs while the vehicle is parked or while it is in motion. For example, an abnormal noise occurring while parked can be represented by a rectangle with a single-dotted line, similar to a belt tensioner noise, while an abnormal noise occurring while in motion can be represented by a rectangle with a double-dotted line, similar to a balance gear noise.

[0040] Furthermore, as shown in Figure 1000, candidate frequency bands, which are the frequency bands of the sound actually generated from the vehicle, can also be represented by dashed lines at the corresponding frequency positions. For example, a candidate frequency band can be set as a frequency band where the volume of the sound generated from the vehicle is above a predetermined value.

[0041] like Figure 1 As shown, in the absence of any abnormal noise (defined noise) matching the frequency of the candidate frequency band, the dashed rectangle representing the candidate frequency band does not overlap with any rectangle representing defined noise. With this display in Figure 1000, the user can ascertain that the sound emanating from the vehicle is not any of the known abnormal noises.

[0042] On the other hand, when the candidate frequency band overlaps with a rectangle corresponding to any of the given noises, the user is able to visually identify that the sound emanating from the vehicle is a known abnormal noise.

[0043] Therefore, the server device 100 of the embodiment can provide, in a form that is easily visually recognizable, the relationship between the frequency bands of the sound of the object being analyzed from the vehicle and the frequency bands of any known abnormal noises that may occur.

[0044] Structure of server devices

[0045] Next, the hardware and software structures of the system including server device 100 will be described. Figure 2 This is a diagram illustrating the constituent elements of the server device 100 according to the embodiment.

[0046] Server device 100 can be configured as a computer including a processor (CPU, GPU, etc.), main storage (RAM, ROM, etc.), and auxiliary storage (EPROM, hard disk drive, removable media, etc.). The auxiliary storage stores an operating system (OS), various programs, various tables, etc., and by executing the programs stored therein, various functions (software modules) that meet a predetermined purpose can be achieved, as described later. Some or all of these functions can be implemented as hardware modules using hardware circuits such as ASICs (Application-Specific Integrated Circuits) and FPGAs (Field-Programmable Gate Arrays).

[0047] The server device 100 includes a control unit 110, a storage unit 120, a communication unit 130, and a display unit 140.

[0048] The control unit 110 is a computing unit that executes predetermined programs to implement various functions of the server device 100. The control unit 110 can be implemented, for example, by a hardware processor such as a CPU. Furthermore, the control unit 110 may also be configured to include RAM (Random Access Memory), ROM (Read Only Memory), cache memory, etc.

[0049] In this embodiment, the control unit 110 of the server device 100 is configured to include two software modules: a noise acquisition unit 111 and a mapping unit 112. Each software module can also be implemented by the control unit 110 (CPU, etc.) executing a program stored in the storage unit 120. The information processing executed by the software modules has the same meaning as the information processing executed by the control unit 110 (CPU, etc.).

[0050] During the operation of the server device 100, the noise acquisition unit 111 acquires sound data including sounds generated from the vehicle. Furthermore, the noise acquisition unit 111 records the acquired sound data generated from the vehicle in the storage unit 120.

[0051] The mapping unit 112 maps the frequency bands of sound data containing sounds originating from the vehicle, obtained by the noise acquisition unit 111, and the frequency bands of a predetermined noise onto a graph showing frequencies on at least one axis. The frequency bands of the predetermined noise are contained in a database stored in the storage unit 120. Here, predetermined noise refers to abnormal noises that may occur from the vehicle. The database contains information about the frequency bands representing multiple predetermined noises. The mapping unit 112 performs the following processing: parsing (frequency conversion) includes the sound data of sounds originating from the vehicle obtained by the noise acquisition unit 111, and obtains the frequency bands (candidate frequency bands) of sounds with a volume of a predetermined value or higher in the sound data. It can be said that the sounds with a volume of a predetermined value or higher in the sound data are candidates for sounds corresponding to predetermined noises. The mapping unit 112 obtains data such as the frequency bands of predetermined noises, which are abnormal noises that may occur from the vehicle, from the database stored in the storage unit 120 (described later).

[0052] The storage unit 120 is a unit for storing information and is composed of storage media such as RAM, disk, or flash memory. The storage unit 120 stores programs executed by the control unit 110, data used by those programs, etc.

[0053] The communication unit 130 is a wireless communication interface for connecting the server device 100 to an external network. The communication unit 130 is configured to communicate with external devices via cellular communication networks such as wireless LAN, 3G, 4G or 5G.

[0054] Display unit 140 is a display that displays chart 1000. Display unit 140 may be a touch panel display, a liquid crystal display, or an organic EL (Electro-Luminescence) display.

[0055] in addition, Figure 2 The structure shown is an example; all or part of the functions illustrated can also be executed using specially designed circuitry. Alternatively, programs can be stored or executed using a combination of main and auxiliary storage devices, other than those shown in the diagram.

[0056] Server device processing

[0057] Next, the specific details of the processing performed by the server device 100, one aspect of this disclosure, will be described. Figure 3 This is a flowchart of the processes performed by the server device 100 according to the implementation method. Figure 3 The process by which the server device 100 maps the frequency bands of the sound obtained from the vehicle and the frequency bands of a predetermined noise onto a graph is explained.

[0058] When the server device 100 receives an operation to start analyzing abnormal noises caused by sound, it begins the operation starting from S10. If the server device 100 uses the sound generated by the vehicle in real time to analyze the abnormal noise, the server device 100 can start processing in conjunction with the start of the vehicle.

[0059] First, in S10, the noise acquisition unit 111 identifies the vehicle to be inspected. Specifically, the noise acquisition unit 111 may also obtain the ID of the vehicle to be inspected using CAN communication or the like.

[0060] Next, in S11, the noise acquisition unit 111 of the server device 100 acquires sound data containing the sound generated by the vehicle and transforms it into the frequency domain. Here, the frequency band of the sound generated by the vehicle with a volume of a predetermined value or higher is called the candidate frequency band. In S11, the mapping unit 112 simultaneously analyzes the transformation result obtained by the noise acquisition unit 111 and acquires the frequency band (candidate frequency band) of the sound data with a volume of a predetermined value or higher.

[0061] Next, in S12, the mapping unit 112 acquires data representing the frequency band of a predetermined noise that may originate from the vehicle, as well as data corresponding to the vehicle identified in S10. Specifically, the mapping unit 112 references a database stored in the storage unit 120 to acquire data representing the frequency band of the predetermined noise. Additionally, the mapping unit 112 acquires data representing the model, years of use, and current or past driving status (speed, acceleration, direction of travel, etc.) of the vehicle to be inspected as vehicle data. Furthermore, the data representing the current or past driving status is associated with the sound data acquired in S11.

[0062] Next, in S13, the mapping unit 112 calculates the assumed frequency band of the predetermined noise based on the vehicle data obtained by the noise acquisition unit 111. For example, the mapping unit 112 generates data indicating the structure of the vehicle body of the vehicle under inspection based on data indicating the model of the vehicle under inspection. Then, the mapping unit 112 can calculate the frequency band of the assumed predetermined noise based on the data indicating the structure of the vehicle body of the vehicle under inspection.

[0063] Alternatively, the frequency band of a given noise can be calculated each time based on vehicle-related data, as described above, or the frequency band of a given noise stored in a database can be used.

[0064] Next, in S14, the mapping unit 112 displays a graph representing the frequency bands of the sound data and a graph representing the frequency bands of the predetermined noise. Specifically, the mapping unit 112 maps the frequency bands (candidate frequency bands) of sounds with a volume of a predetermined value or higher from the sound data containing sounds originating from the vehicle under inspection, acquired by the noise acquisition unit 111, onto a graph representing frequencies on at least one axis. Furthermore, the mapping unit 112 maps the frequency bands of multiple predetermined noises contained in the database stored in the storage unit 120 onto the same graph. At this time, the mapping unit 112 may also gray out or not display predetermined noises that are determined to be impossible or have a significantly low probability of occurrence based on vehicle data, etc., on the graph.

[0065] Next, in S15, the mapping unit 112 determines whether the frequency band (candidate frequency band) of the sound data with a volume of a predetermined value or higher in the sound data acquired by the noise acquisition unit 111 overlaps with the frequency band of the predetermined noise. In this step, if the mapping unit 112 determines that the frequency band (candidate frequency band) of the sound data containing the sound generated from the vehicle with a volume of a predetermined value or higher overlaps with the frequency band of the predetermined noise, a positive determination is made.

[0066] In this step, if the determination is positive, the process moves to S16.

[0067] In this step, the process ends if the result is negative.

[0068] When the processing is transferred to S16, the mapping unit 112 highlights and displays a graph showing the name of the established noise that overlaps with the candidate frequency band and the frequency band of that established noise.

[0069] Figure 4 This is a diagram showing the graphs displayed by the server device 100 according to the implementation method. Figure 3 In S14 to S16 as described in the text, the mapping unit 112 displays as follows: Figure 4 Chart 1000.

[0070] Chart 1000 shows a graph representing multiple established noises and frequency bands (candidate frequency bands) of sounds with volume exceeding a predetermined value from sound data originating from the vehicle. Chart 1000 is, for example, a mapping where the vertical axis represents frequency and the horizontal axis represents the type of component. Specifically, on Chart 1000, rectangular graphics are displayed in the areas where the type of component that is the source of each established noise intersects with the frequency band of each established noise. The frequency can be displayed from 0 to 6000 Hz, and the types of components can also be categorized into engine system, drive system, and vehicle system (vehicle system). Within each type of component, various abnormal noises are displayed for each frequency band. For example, in the engine system, airflow noise, balance gear noise, chain noise, etc., are displayed.

[0071] Furthermore, the display method for the various abnormal noises shown above can be changed depending on whether the noise occurs while the vehicle is parked or while it is in motion. For example, abnormal noises occurring while parked can be represented by a rectangle with a single-dotted line, similar to abnormal noises from a tensioning device, while abnormal noises occurring while in motion can be represented by a rectangle with a double-dotted line, similar to noise from a balancing gear.

[0072] Furthermore, as shown in Figure 1000, frequency bands (candidate frequency bands) containing sounds with a volume exceeding a predetermined value from the sound data generated by the vehicle can also be indicated by dashed lines at the corresponding frequency band positions. Figure 1 As shown, in the absence of any given noise corresponding to the candidate frequency band, the rectangle representing the candidate frequency band does not overlap with the rectangle representing any given noise frequency band.

[0073] Conversely, when a given noise corresponding to a candidate frequency band exists, the dashed rectangle representing the candidate frequency band overlaps with the rectangle representing the frequency band of a given noise. In Figure 1000, the rectangle representing the frequency band of the given noise that overlaps with the rectangle representing the candidate frequency band, and the name of that given noise, are highlighted. Figure 4(300a and 300b in the diagram). For example, a rectangle representing the corresponding predetermined noise frequency band can be represented using a line thicker than the initial value. In Figure 1000, the predetermined noise of frequency bands that do not overlap with candidate frequency bands is represented by lines of varying thicknesses set at the initial value.

[0074] When displayed in this way in Chart 1000, the user can determine which of the existing abnormal noises the sound (abnormal noise) coming from the vehicle matches or does not match any of them. Moreover, even if the sound (abnormal noise) coming from the vehicle is not an existing abnormal noise, the user can visually determine which of the existing abnormal noises the sound coming from the vehicle is closest to.

[0075] As described above, the server device 100 in this embodiment analyzes the sound obtained from the vehicle, determines its frequency band, and maps a graph representing the determined frequency band together with a separately stored graph representing the frequency band of a given noise. Therefore, the server device 100 can provide the sound in a way that makes it easy to visually identify which of the known abnormal noises or close to it corresponds to the sound of the analyzed object.

[0076] First variation

[0077] Depending on the vehicle's speed, it is sometimes assumed whether a predetermined abnormal noise originating from the vehicle will occur or whether its frequency will change. In this case, the occurrence of a predetermined noise or the assumed frequency band may also change depending on the vehicle's speed when the sound data is recorded, so the predetermined noise and assumed frequency band need to be updated on the chart each time.

[0078] Therefore, the server device 100 can also calculate the frequency band of a given noise displayed on a graph and update its display position based on the vehicle speed of the object being analyzed at the moment when the sound of the object is generated.

[0079] For example, the speed of the vehicle being inspected changes as the sound data is reproduced. Therefore, a sound data reproduction button, a drag bar, etc., can be added to the screen viewed by the user. Furthermore, the server device 100 can obtain the vehicle speed corresponding to the location where the sound data is reproduced, and after calculating the frequency band of a predetermined noise, update the display position of the predetermined noise on the chart.

[0080] Figure 5 This is a flowchart of the process performed by the server device 100 in the modified example.

[0081] Processing from S20 to S22 and Figure 3 The processing is performed independently.

[0082] First, in S20, the mapping unit 112 determines the vehicle speed at any given moment, including sound data from the sound emitted by the vehicle. In this embodiment, this sound data corresponds to speed data in the vehicle data.

[0083] Next, in S21, the mapping unit 112 calculates the frequency band of whether a predetermined noise occurs and the frequency band of the occurrence for each time step in the sound data, based on the data representing the vehicle speed contained in the sound data.

[0084] Subsequently, in S22, the mapping unit 112 updates the graph displayed in S14 based on the frequency band of the predetermined noise calculated in S21. For example, when the vehicle is reproducing the sound at a speed range where the predetermined noise does not occur, the mapping unit 112 does not display a graph representing the predetermined noise on graph 1000. Instead, when the vehicle is reproducing the sound at a speed range where the predetermined noise occurs, the mapping unit 112 displays a graph showing the predetermined noise on the frequency band calculated in S21. In this case, the graph representing the predetermined noise changes according to the vehicle speed when recording the sound of the object being analyzed. Specifically, the position of the rectangular graph representing the frequency band of the predetermined noise shown on graph 1000 moves according to the vehicle speed when recording the sound of the object being analyzed. The processing of S22 is repeated. In addition, the processing of S20 and S21 is repeated each time. Figure 5 It is executed once during processing.

[0085] As described above, the server device 100 in the first modification is able to accurately reflect the frequency band of a predetermined noise that may vary depending on the speed of the vehicle being inspected on the graph 1000.

[0086] Second variation

[0087] By using an analog sound that closely resembles what the ear hears, users can sometimes more easily understand unusual noises emitted by a vehicle compared to using a frequency band. Therefore, the mapping unit 112 may display an axis showing the analog sound instead of the frequency axis shown on the graph 1000. Figure 6 This is a diagram representing the server device displaying Figure 2000 involved in the second variation. Figure 6 In the example shown, the simulated sounds are represented sequentially from low frequency by “cluck-”, “whoosh-”, “hum-”, “squeak-” and “rustle-”.

[0088] In this variation, the processing is the same as in the above implementation, except that the frequency display in the graph is converted into onomatopoeic points.

[0089] Figure 6The representation of analog sounds in Chart 2000 is just one example; other representation methods can be used.

[0090] Other variations

[0091] The above-described embodiments are merely examples, and this disclosure can be appropriately modified and implemented without departing from its spirit. For example, the processes and components described in this disclosure can be freely combined and implemented, as long as no technical contradictions arise.

[0092] Additionally, the mapping unit 112 can also acquire data representing the engine rotation speed (or speed) at a time corresponding to the time step included in the sound data. Then, based on the engine rotation speed (or speed) corresponding to the sound data, the frequency band where a predetermined noise occurs and if it does occur can be calculated for each time step included in the sound data.

[0093] This disclosure can also be implemented by providing a computer program that implements the functions described in the above embodiments to a computer, and causing one or more processors of the computer to read and execute the program. Such a computer program can be provided to the computer via a non-transitory computer-readable storage medium that can be connected to the computer's system bus, or it can be provided to the computer via a network. Non-transitory computer-readable storage media include, for example, any type of disk such as a magnetic disk (floppy disk, hard disk drive (HDD)), optical disk (CD-ROM, DVD, Blu-ray disc, etc.), read-only memory (ROM), random access memory (RAM), EPROM, EEPROM, magnetic cards, flash memory, optical cards, and any type of medium suitable for storing electronic instructions.

Claims

1. An information processing device that provides information related to abnormal noises occurring from a vehicle, wherein, The information processing device has: The storage unit stores a database in which information representing the frequency band of a given noise is associated with each type of source of the given noise, which is an abnormal noise that may occur from the vehicle. as well as The control unit performs a process of mapping the frequency bands of one or more predetermined noises contained in the database, and the frequency data obtained by transforming sound data containing sounds generated from predetermined vehicles into the frequency domain, onto a graph that assigns frequencies to at least one axis.

2. The information processing apparatus according to claim 1, wherein, In the chart, if the frequency band containing the frequency data and having a volume value above a predetermined value overlaps with the frequency band of the predetermined noise, the control unit will highlight the corresponding area compared with other areas.

3. The information processing apparatus according to claim 1 or 2, wherein, The aforementioned predetermined noises are noises whose frequency bands vary according to the vehicle's travel speed. The database stores the relationship between multiple frequency bands of the given noise and the vehicle's speed.

4. The information processing apparatus according to claim 3, wherein, The sound data is associated with the vehicle's speed. The control unit updates the information representing the frequency band of the predetermined noise shown in the graph to information representing the frequency band corresponding to the vehicle's travel speed.

5. The information processing apparatus according to claim 4, wherein, The control unit calculates the frequency band of the predetermined noise based on the vehicle's travel speed.

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