Noise cancelling method, information processing device and program

Abstract

To improve a noise cancelling technique.SOLUTION: A noise canceling method executed by an information processing device 10, includes the steps of: estimating cavity resonance sound on the basis of tire characteristic information; generating cancellation sound of the cavity resonance sound; and emitting the cancellation sound from a speaker.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present disclosure relates to a noise cancellation method, an information processing apparatus, and a program.

Background Art

[0002] Conventionally, noise cancellation technology has been known to reduce noise generated as a vehicle travels. For example, Patent Document 1 discloses a vehicle soundproofing device that adjusts a cancellation sound for canceling road noise that enters the vehicle cabin according to the road surface conditions in front of the vehicle.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] The conventional technology selects an appropriate cancellation sound based on image data obtained by photographing road surface irregularities, but has not considered canceling cavity resonance sounds, which are particularly likely to be heard as unpleasant sounds by human ears, among the noise (sound) that enters the vehicle cabin. Thus, there has been room for improvement in noise cancellation technology.

[0005] In view of such circumstances, an object of the present disclosure is to improve noise cancellation technology for canceling cavity resonance sounds in particular.

Means for Solving the Problems

[0006] (1) A noise cancellation method according to an embodiment of the present disclosure is a noise cancellation method executed by an information processing apparatus, and includes: estimating cavity resonance sound based on tire characteristic information; The step of generating a cancellation sound for the cavity resonance sound The step of emitting the cancellation sound from a speaker, and including. According to such a configuration, the information processing apparatus emits a cancellation sound that cancels a cavity resonance sound that is likely to be heard as an unpleasant sound by a human ear based on the characteristic information of the tire, so that noise can be efficiently reduced and the noise cancellation technology is improved.

[0007] (2) The noise cancellation method according to an embodiment of the present disclosure is the noise cancellation method described in (1), wherein In the step of estimating, the cavity resonance sound is further corrected based on vehicle speed information. According to such a configuration, the information processing apparatus can estimate a sound closer to the actual noise. Thereby, the effect of noise cancellation is improved.

[0008] (3) The noise cancellation method according to an embodiment of the present disclosure is the noise cancellation method described in (1) or (2), wherein It includes a step of correcting the cancellation sound based on the actually measured sound. According to such a configuration, the information processing apparatus can efficiently cancel the cavity resonance sound by extracting a portion corresponding to the frequency band of the generated cancellation sound from the actually measured sound and generating a cancellation sound that cancels this.

[0009] (4) The noise cancellation method according to an embodiment of the present disclosure is the noise cancellation method described in any one of (1) to (3), and further The actually measured sound is measured by a microphone or an acceleration sensor. According to such a configuration, the information processing apparatus can observe the actually measured sound and utilize it for the generation or correction of the cancellation sound, thereby enhancing the effect of noise cancellation.

[0010] (5) The noise canceling method according to an embodiment of the present disclosure is the noise canceling method according to any one of (1) to (4), and further, The characteristic information of the tire includes the outer diameter of the tire and the rim diameter. According to such a configuration, the cavity resonance sound can be efficiently estimated based on the outer diameter of the tire and the rim diameter, and the effect of noise cancellation can be enhanced.

[0011] (6) The noise canceling method according to an embodiment of the present disclosure is the noise canceling method according to any one of (1) to (5), and includes a step of correcting the canceling sound based on the observed sound of the evaluation microphone. According to such a configuration, the information processing device can verify whether the noise is effectively canceled by the canceling sound, correct the canceling sound, and further enhance the effect of noise cancellation.

[0012] (7) The noise canceling method according to an embodiment of the present disclosure is the noise canceling method according to any one of (1) to (6), and includes a step of training a learning model based on the characteristic information of the tire, the vehicle speed information, and the actually measured sound, in the step of estimating, inputting the characteristic information of the tire and the vehicle speed information into the learning model, and estimating the cavity resonance sound based on the learning model. According to such a configuration, by training the learning model using the actually measured sound as training data, the accuracy of the canceling sound emitted by the information processing device can be improved and the effect of noise cancellation can be enhanced as the present technology is implemented.

[0013] (8) An information processing device according to an embodiment of the present disclosure is an information processing device provided with a processor, and the processor executes the noise canceling method according to any one of (1) to (7). According to such a configuration, the noise canceling method according to an embodiment of the present disclosure can be generally obtained in the form of an information processing apparatus that executes these, and the technology for canceling noise is improved.

[0014] (9) A program according to an embodiment of the present disclosure is a program executed by an information processing apparatus, which causes a computer to execute the noise canceling method according to any one of (1) to (7). According to such a configuration, the noise canceling method according to an embodiment of the present disclosure can be generally obtained in the form of a program that causes an information processing apparatus to execute these, and the technology for canceling noise is improved.

Effect of the Invention

[0015] According to the noise canceling method, information processing apparatus, and program according to an embodiment of the present disclosure, it is possible to improve the technology for canceling particularly cavity resonance sounds.

Brief Description of the Drawings

[0016]

Figure 1

Figure 2

Figure 3

Figure 4

Mode for Carrying Out the Invention

[0017] Hereinafter, the noise canceling technology according to the embodiment of the present disclosure will be described with reference to the drawings.

[0018] In each figure, the same or corresponding parts are denoted by the same reference numerals. In the description of the present embodiment, the description of the same or corresponding parts will be omitted or simplified as appropriate.

[0019] FIG. 1 is a diagram showing an example of a vehicle 50 equipped with an information processing apparatus 10 according to an embodiment. The information processing apparatus 10 outputs a cancellation sound for canceling noise (noise) generated as the vehicle 50 travels, thereby reducing the noise in the vehicle interior.

[0020] First, an overview of the present embodiment will be described. The noise cancellation technique according to the embodiment of the present disclosure is executed by the information processing apparatus 10. The noise cancellation technique according to the embodiment of the present disclosure can be used, for example, when canceling cavity resonance sound. Specifically, in the noise cancellation technique according to the embodiment of the present disclosure, the information processing apparatus 10 estimates the cavity resonance sound based on the tire characteristic information. The information processing apparatus 10 generates a cancellation sound for the cavity resonance sound and emits the cancellation sound from a speaker. Thereby, it is possible to efficiently suppress the cavity resonance sound that is particularly likely to be heard as an unpleasant sound in a person's ear, and the noise cancellation technique is improved.

[0021] Here, the cavity resonance sound is noise generated when the gas filled in the tire cavity resonates when the tread portion of the tire contacts the unevenness of the road surface and vibrates during the running of the vehicle. The tire characteristic information refers to any information related to the characteristics of the tire. It is preferable that the tire characteristic information used by the information processing apparatus 10 can affect the spectrum of the cavity resonance sound observed in the vehicle interior.

[0022] The characteristic information of the tire may be, for example, the size of the tire, the type of tire, the presence or type of inclusions, etc. The size of the tire may include the outer diameter of the tire, the inner diameter of the tire (rim diameter), etc. The outer diameter of the tire may be the diameter of the tire (the diameter in the donut-shaped cross-section) when the tire is mounted on the rim, filled with air to an appropriate air pressure, and no load is applied. The outer diameter of the tire may also be calculated from the rim diameter, the tire width, the aspect ratio, etc. The type of tire may include passenger car tires, light truck tires, small truck tires, truck tires, bus tires, motorcycle tires, etc. The inclusions in the tire may include sound-absorbing sponges, films, etc. Further, the characteristic information of the tire may be, for example, the circumference of the tire, the number of pitches per revolution, etc.

[0023] In addition to this, the characteristic information of the tire may include various information regarding the characteristics of the tire. For example, the characteristic information of the tire may include information such as changes over time, deterioration, changes due to use, or wear of the tire.

[0024] According to the noise canceling technology according to the embodiment of the present disclosure, among the noises that enter the vehicle interior, it is possible to cancel the cavity resonance sound that is particularly likely to be heard as an unpleasant sound by the human ear. In other words, the information processing device 10 estimates the cavity resonance sound based on the characteristic information of the tire. The information processing device 10 generates a canceling sound for the estimated cavity resonance sound and emits it from the speaker. Thereby, noise can be efficiently reduced based on the known information of the characteristic information of the tire.

[0025] Thus, according to the noise canceling technology according to the present embodiment, based on the known information of the characteristic information of the tire, by canceling the cavity resonance sound, noise can be efficiently reduced, and the noise canceling technology is improved.

[0026] Hereinafter, the configuration according to an embodiment of the present disclosure will be described.

[0027] As shown in FIG. 1, the information processing apparatus 10 includes a microphone 14, a speaker 15, an acceleration sensor 16, and an arithmetic unit 17.

[0028] The microphone 14 detects voice information of noise in the passenger compartment of the vehicle 50. The microphone 14 may be provided, for example, near the seat of the vehicle 50. Alternatively, for example, the microphone 14 may be provided on or near the floor surface inside the vehicle. The information processing apparatus 10 may invert the phase of the voice information of the noise detected by the microphone 14 to generate a cancellation sound for canceling the noise. In a state where the cancellation sound is being output, the information processing apparatus 10 may use the voice information in the passenger compartment acquired by the microphone 14 to evaluate the effect of noise cancellation.

[0029] The speaker 15 outputs the cancellation sound as sound waves. The speaker 15 may be realized by a voice output device of an audio system originally provided in the vehicle 50. The speaker 15 can be installed at any location inside the vehicle. For example, the speaker 15 may be provided on or near the floor surface inside the vehicle.

[0030] The acceleration sensor 16 measures the acceleration of the vehicle 50. The measured value of the acceleration sensor 16 is used for the evaluation of NVH (Noise, Vibration and Harshness). The acceleration sensor 16 may be realized by a sensor of any method such as a semiconductor gauge, a capacitance, or a differential transformer type. The acceleration sensor 16 may be attached, for example, to an axle that transmits the power generated by a drive unit such as an engine, a motor, or a combination thereof to the tires 51, 52.

[0031] The arithmetic unit 17 is connected to the microphone 14, the speaker 15, and the acceleration sensor 16, and controls the operations of these devices. As will be described later with reference to FIG. 2, the arithmetic unit 17 includes a control unit 11, a storage unit 12, and a communication unit 13.

[0032] Vehicle 50 is, for example, an automobile such as a passenger car, but is not limited thereto and may be any vehicle. The automobile is, for example, a gasoline vehicle, a hybrid vehicle, a plug-in hybrid vehicle, a fuel cell vehicle, or a battery electric vehicle, but is not limited thereto. Vehicle 50 includes tires 51, 52.

[0033] A communication device 53 is provided in tire 51. A communication device 54 is provided in tire 52.

[0034] Communication devices 53, 54 perform wireless communication. Communication devices 53, 54 are, for example, RF (Radio Frequency) tags. RF tags are also called RFID (Radio Frequency Identification) tags. Communication devices 53, 54 include an IC (Integrated Circuit) chip constituting a control unit and a storage unit, and one or more antennas connected to the IC chip. The IC chip may store any information regarding tires 51, 52, such as identification information of tires 51, 52, date of manufacture, tire outer diameter, rim diameter, circumference, and number of pitches per revolution. For example, communication devices 53, 54 may be provided such that two antennas extending linearly, wavily, or spirally extend from the IC chip in opposite directions to each other, and the entire device may have a longitudinal shape.

[0035] The IC chip may operate by dielectric electromotive force generated by electromagnetic waves received by one or more antennas. That is, communication devices 53, 54 may be passive communication devices. Alternatively, communication devices 53, 54 may further include a battery and be capable of generating electromagnetic waves with their own power for communication. That is, communication devices 53, 54 may be active communication devices.

[0036] (Configuration of information processing device) Next, each configuration of information processing device 10 will be described in detail.

[0037] As shown in FIG. 2, the information processing apparatus 10 includes a microphone 14, a speaker 15, an acceleration sensor 16, and an arithmetic unit 17. The arithmetic unit 17 is one or a plurality of computer devices capable of communicating with each other. The arithmetic unit 17 is not limited to these, and may be any general-purpose electronic device such as an FPGA (Field Programmable Gate Array), a single board computer (SBC), or a PC (Personal Computer), or may be other dedicated electronic devices.

[0038] The control unit 11 includes one or more processors. In one embodiment, the "processor" is a general-purpose processor or a dedicated processor specialized for specific processing, but is not limited thereto. The control unit 11 is communicably connected to each component constituting the information processing apparatus 10 and controls the operation of the entire information processing apparatus 10.

[0039] The storage unit 12 includes, for example, any storage module such as an HDD (Hard Disk Drive), an SSD (Solid State Drive), a ROM (Read-Only Memory), and a RAM (Random Access Memory). The storage unit 12 may function as, for example, a main storage device, an auxiliary storage device, or a cache memory. The storage unit 12 stores any information used for the operation of the information processing apparatus 10. For example, the storage unit 12 may store a system program, an application program, and various information received by the communication unit 13. The storage unit 12 is not limited to being built into the information processing apparatus 10, and may be an external database or an external storage module.

[0040] The communication unit 13 includes any communication module capable of communicating with other devices such as a scanner by any communication technology. The communication unit 13 may further include a communication control module for controlling communication with other devices and a storage module for storing communication data such as identification information required for communication with other devices.

[0041] The functions of the information processing apparatus 10 are realized by causing a processor corresponding to the information processing apparatus 10 to execute the program according to this embodiment. That is, the functions of the information processing apparatus 10 are realized by software. The program causes a computer to execute the operations of the information processing apparatus 10, thereby causing the computer to function as the information processing apparatus 10. That is, the computer functions as the information processing apparatus 10 by executing the operations of the information processing apparatus 10 according to the program.

[0042] In this embodiment, the program can be recorded on a computer-readable recording medium. The computer-readable recording medium includes a non-transitory computer-readable medium, and for example, a magnetic recording device, an optical disk, a magneto-optical recording medium, or a semiconductor memory. The distribution of the program is performed, for example, by selling, transferring, or lending a portable recording medium such as a DVD (digital versatile disc) or a CD-ROM (compact disc read only memory) on which the program is recorded. The distribution of the program may also be performed by storing the program in the storage of an external server and transmitting the program from the external server to another computer. The program may also be provided as a program product.

[0043] Some or all of the functions of the information processing apparatus 10 may be realized by a dedicated circuit corresponding to the control unit 11. That is, some or all of the functions of the information processing apparatus 10 may be realized by hardware.

[0044] With reference to the flowchart of FIG. 3, a noise canceling method according to an embodiment of the present disclosure is shown.

[0045] Step S101: The control unit 11 of the information processing apparatus 10 estimates the cavity resonance sound based on the characteristic information of the tire.

[0046] For example, the control unit 11 acquires the characteristic information of the tire by communicating with the communication devices 53 and 54. The control unit 11 may store the characteristic information of the tire in the storage unit 12. In this case, the control unit 11 may estimate the cavity resonance sound based on the characteristic information of the tire stored in the storage unit 12.

[0047] Step S102: The control unit 11 generates a cancellation sound for the cavity resonance sound. For example, the control unit 11 generates a cancellation sound corresponding to the spectrum of the estimated cavity resonance sound in order to cancel the spectrum of the cavity resonance sound estimated in step S101. By making the cancellation sound correspond to the spectrum of the estimated cavity resonance sound, the cavity resonance sound can be appropriately canceled out.

[0048] Step S103: The control unit 11 emits the cancellation sound from the speaker 15. For example, the control unit 11 emits the cancellation sound generated in step S102 from the speaker 15.

[0049] Thus, according to the noise cancellation technology according to this embodiment, the information processing device 10 estimates the cavity resonance sound based on the characteristic information of the tire and emits a cancellation sound corresponding thereto. Thereby, noise can be reduced efficiently, and the noise cancellation technology is improved.

[0050] Furthermore, the control unit 11 may correct the estimated cavity resonance sound based on the vehicle speed information. The actual cavity resonance sound may be affected by the speed of the vehicle. Therefore, the control unit 11 can estimate a sound closer to the actual noise by correcting the estimated cavity resonance sound based on the vehicle speed information. Thereby, the effect of noise cancellation is improved. The vehicle speed information can be acquired by any method. For example, the control unit 11 may calculate the vehicle speed information of the vehicle 50 based on the acceleration of the vehicle 50 detected by the acceleration sensor 16.

[0051] The control unit 11 may correct the generated cancellation sound based on the actually measured sound. Here, the actually measured sound refers to the noise inside the vehicle actually observed. The control unit 11 may collect the actually measured sound with the microphone 14.

[0052] Further, the control unit 11 may observe the actually measured sound not with the microphone 14 but, for example, with the acceleration sensor 16. In this case, the control unit 11 may convert the data observed by the acceleration sensor 16 into a sound spectrum and use it as the actually measured sound. The acceleration sensor 16 may be installed at any location on the path where the cavity resonance sound propagates into the passenger compartment. For example, the acceleration sensor 16 may be installed on the axle.

[0053] The actually measured sound may include various noises other than the cavity resonance sound. Among the noises, the cavity resonance sound is considered to be particularly likely to be heard as an unpleasant sound to the human ear. Therefore, in order to efficiently cancel the noise by focusing on the cavity resonance sound, the control unit 11 may extract and narrow down the portion of the actually measured sound corresponding to the spectral bandwidth of the cancellation sound generated by the control unit 11 from the actually measured sound. The control unit 11 may generate a cancellation sound that cancels the actually measured sound in the narrowed spectral bandwidth. In other words, the control unit 11 may correct the generated cancellation sound based on the actually measured sound in the frequency band corresponding to the frequency band of the cancellation sound generated by the control unit 11.

[0054] Here, correcting the generated cancellation sound based on the actually measured sound includes the control unit 11 directly correcting the cancellation sound generated in step S102 based on the actually measured sound. Also, correcting the generated cancellation sound based on the actually measured sound includes the control unit 11 correcting the cavity resonance sound estimated in step S101. In the latter case, when the control unit 11 corrects the cavity resonance sound estimated in step S101, the cancellation sound generated correspondingly in step S102 is corrected. Thus, in either case, as a result, the control unit 11 corrects the generated cancellation sound based on the actually measured sound.

[0055] In this way, the control unit 11 can efficiently cancel the cavity resonance sound by correcting the cancellation sound based on the measured sound. In other words, the processing efficiency when generating the cancellation sound can be increased compared to the case of generating a cancellation sound that cancels the entire frequency band of the measured sound. Further, the information processing device 10 can observe the measured sound by using the microphone 14 or the acceleration sensor 16 and utilize it for generating or correcting the cancellation sound, thereby enhancing the noise cancellation effect.

[0056] Furthermore, the tire characteristic information may include the tire outer diameter and the rim diameter. That is, in step S101, the control unit 11 may estimate the cavity resonance sound based on the tire characteristic information including the tire outer diameter and the rim diameter. In this case, for example, the control unit 11 may calculate the thickness of the air layer inside the tire based on the tire outer diameter and the rim diameter. In other words, the control unit 11 may calculate the length of the cavity in the radial direction in the donut-shaped cross-section of the tire based on the tire outer diameter and the rim diameter. The control unit 11 may further estimate the cavity resonance sound based on the calculated cavity length.

[0057] The cavity resonance sound may be affected by the thickness of the cavity inside the tire. The thickness of the cavity inside the tire can be calculated from information such as the tire outer diameter and the rim diameter. Therefore, by including the tire outer diameter and the rim diameter in the tire characteristic information, the cavity resonance sound can be efficiently estimated, and the noise cancellation effect can be enhanced.

[0058] Also, the control unit 11 may correct the cancellation sound based on the observed sound of the evaluation microphone. The evaluation microphone may be configured to observe the in-vehicle noise in a state where it is canceled by the cancellation sound, at least when the speaker 15 emits the cancellation sound. The control unit 11 may evaluate whether the cavity resonance sound is effectively canceled by the cancellation sound emitted by the speaker 15 based on the observed sound of the evaluation microphone. The control unit 11 may correct the cancellation sound based on the evaluation result. The evaluation microphone may be installed at any location inside the vehicle. The evaluation microphone may be provided separately from the microphone 14 or the acceleration sensor 16, or may be incorporated in the microphone 14.

[0059] For example, the control unit 11 may observe the in-vehicle noise in a state before the cancellation sound is generated by the evaluation microphone. When the control unit 11 generates a cancellation sound by the speaker 15, the control unit 11 may observe the in-vehicle noise in a state canceled by the cancellation sound by the evaluation microphone. The control unit 11 may determine whether the degree to which the in-vehicle noise is canceled by the cancellation sound is sufficient. When the degree to which the in-vehicle noise is canceled is insufficient, the control unit 11 may correct the cancellation sound. In this case, the control unit 11 may further determine whether the in-vehicle noise is sufficiently canceled by the corrected cancellation sound based on the observed sound of the evaluation microphone.

[0060] In this way, the control unit 11 verifies whether the noise cancellation by the cancellation sound is effectively performed based on the observed sound of the evaluation microphone, and by correcting the cancellation sound, the effect of noise cancellation can be further enhanced.

[0061] Referring to the flowchart of FIG. 4, a specific example of a noise canceling method in the case of training a learning model by machine learning is shown.

[0062] Step S201: The control unit 11 of the information processing apparatus 10 trains a learning model based on the tire characteristic information, vehicle speed information, and measured sound. Here, the learning model uses the tire characteristic information and vehicle speed information as explanatory variables. The learning model is a learning model for causing a computer to function so as to output the cavity resonance sound, which is the target variable, based on these explanatory variables. The learning model may be a neural network model generated based on a multi-layer perceptron including an input layer, a hidden layer, and an output layer. Further, the learning model may be a linear model, a non-linear model, a support vector machine, or the like. The learning model may be, for example, a machine learning model constructed based on a decision tree. Machine learning models constructed based on decision trees include, for example, Light GBM, XGBoost, etc., but are not limited thereto. Alternatively, the learning model may be a model generated based on machine learning algorithms such as Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), and other deep learning.

[0063] The training data for training the learning model may be the tire characteristic information, vehicle speed information, and the measured sound corresponding thereto. Specifically, the control unit 11 may train the learning model by using the tire characteristic information and vehicle speed information among the training data as explanatory variables and the measured sound corresponding thereto as the target variable. The tire characteristic information may include the tire outer diameter and the rim diameter.

[0064]

[0065] ​Step S203: The control unit 11 estimates the cavity resonance sound based on the learning model. Specifically, the control unit 11 inputs the tire characteristic information and the vehicle speed information into the learning model to obtain the output of the cavity resonance sound estimated by the learning model.

[0066] Step S204: The control unit 11 generates a cancellation sound for the cavity resonance sound. For example, the control unit 11 generates a cancellation sound corresponding to the spectrum of the estimated cavity resonance sound in order to cancel the spectrum of the cavity resonance sound estimated in step S203. By making the cancellation sound correspond to the spectrum of the estimated cavity resonance sound, the cavity resonance sound can be appropriately canceled out.

[0067] Step S205: The control unit 11 emits the cancellation sound from the speaker 15. For example, the control unit 11 emits the cancellation sound generated in step S204 from the speaker 15.

[0068] In this way, by training the learning model using the measured sound as training data, the more the present technology is implemented, the more the accuracy of the cancellation sound emitted from the speaker 15 can be improved, and the noise cancellation effect can be enhanced.

[0069] Although the present disclosure has been described based on the drawings and embodiments, it should be noted that those skilled in the art can easily make various modifications and corrections based on the present disclosure. Therefore, it should be noted that these modifications and corrections are included in the scope of the present disclosure. For example, the functions included in each means or each step, etc. can be rearranged so as not to be logically contradictory, and a plurality of means or steps, etc. can be combined into one or divided.

[0070] For example, the information processing apparatus 10 according to the present embodiment may not include the microphone 14 or the acceleration sensor 16. For example, the information processing apparatus 10 may not include the microphone 14 and the acceleration sensor 16, or may be configured to include at least one of them.

[0071] For example, in this embodiment, an example is shown in which a communication device 53 and a communication device 54 are respectively provided in the tire 51 and the tire 52, but the present invention is not limited to this. The tires 51 and 52 may not include the communication devices 53 and 54. In this case, the control unit 11 may acquire the characteristic information of the tire by any other arbitrary method. For example, the control unit 11 may receive an input regarding the characteristic information of the tire from the outside and use it for processing.

[0072] [Contribution to the Sustainable Development Goals (SDGs) Led by the United Nations] The SDGs have been proposed towards the realization of a sustainable society. One embodiment of the present invention can be considered as a technology that contributes to "No. 9 - Build the foundation of industry and technological innovation" and the like.

Explanation of Reference Numerals

[0073] 10 Information processing device 11 Control unit 12 Storage unit 13 Communication unit 14 Microphone 15 Speaker 16 Acceleration sensor 17 Arithmetic unit 50 Vehicle 51 Tire 52 Tire 53 Communication device 54 Communication device G Road surface

Claims

1. A noise cancellation method executed by an information processing apparatus, comprising: estimating a cavity resonance sound based on tire characteristic information; generating a cancellation sound for the cavity resonance sound; emitting the cancellation sound from a speaker. A noise cancellation method including the above steps.

2. The noise cancellation method according to claim 1, further comprising: in the estimating step, correcting the cavity resonance sound based on vehicle speed information.

3. The noise cancellation method according to claim 2, further comprising: correcting the cancellation sound based on an actually measured sound.

4. The noise cancellation method according to claim 3, wherein the actually measured sound is measured by a microphone or an acceleration sensor.

5. The noise cancellation method according to claim 4, wherein the tire characteristic information includes a tire outer diameter and a rim diameter.

6. The noise cancellation method according to claim 5, further comprising: correcting the cancellation sound based on an observed sound of an evaluation microphone.

7. The noise cancellation method according to claim 6, further comprising: training a learning model based on the tire characteristic information, the vehicle speed information, and the actually measured sound; in the estimating step, inputting the tire characteristic information and the vehicle speed information into the learning model; estimating the cavity resonance sound based on the learning model.

8. An information processing apparatus comprising a processor that executes the noise cancellation method according to any one of claims 1 to 7.

9. A program for causing an information processing apparatus to execute the noise cancellation method according to any one of claims 1 to 7.

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