Sound pressure estimation device, sound pressure estimation method, and program

Abstract

To provide a sound pressure estimation device and a sound pressure estimation method that suppress a decrease in sound pressure estimation accuracy even in a situation where there is a reflected sound from a head.SOLUTION: A sound pressure estimation device 1 is used by setting a first relationship which is a spatial positional relationship between a first microphone array 81 and a monitoring microphone M to a second relationship between a second microphone array 82 and a measurement place TP when it is assumed that the monitoring microphone M moves to the measurement place TP. The sound pressure estimating apparatus 1 determines a correction filter from each of the sound pressures of the first acoustic signals that are caused by the predetermined sound source and collected by each of the first microphone arrays 81 and the sound pressure of the monitoring acoustic signal that is caused by the sound source and collected by the monitoring microphone M, and estimates the sound pressure of the second acoustic signal that is caused by the sound source at the measured position TP using each of the sound pressures of the second acoustic signals that are caused by the sound source and collected by each of the second microphone arrays 82 and the correction filter.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present disclosure relates to noise prediction techniques for active noise control. [Background technology]

[0002] In recent years, there has been growing expectation for the use of active noise control (ANC) to reduce noise levels during travel in cars and bullet trains. In this context, ANC using virtual sensing technology is being considered, which predicts signals near the ears using microphones placed near the head, such as in the headrests of seats, without placing microphones near the ears. For example, in Non-Patent Document 1, it is assumed that the spatiotemporal relationship of sound pressures between multiple microphones is translatable within a small region, and the spatiotemporal relationship between microphones at possible placement positions is sequentially estimated using a sound pressure prediction filter. A method has been proposed for performing active noise control while predicting sound pressures near ears where no microphones are placed, using this prediction filter. [Prior art documents] [Non-patent literature]

[0003] [Non-Patent Document 1] Makoto Yoshimatsutei, Naoki Nobuo, Yoichi Haneda, Hiroaki Ito, Ryo Kamadoki, and Shihori Kozuka, "Virtual sensing-based active noise control considering spatiotemporal relationships of multiple error microphones," Proceedings of the Acoustical Society of Japan, March 2023, pp. 227-228 Summary of the Invention [Problem to be solved by the invention]

[0004] However, even if the technology of Non-Patent Document 1 is used, when a head is present, the sound reflected from the head is incident on the monitoring microphone, causing a deviation in the cross-correlation between each microphone. Therefore, in situations where the sound reflected from the head is loud, there is a problem that the accuracy of sound pressure estimation can decrease. An object of the present disclosure is to provide a technology that can suppress a decrease in accuracy of sound pressure estimation even in a situation where there is sound reflected from the head. [Means for solving the problem]

[0005] A sound pressure estimation device according to one aspect of the present disclosure is a sound pressure estimation device that sets a first relationship, which is the spatial positional relationship between a first microphone array and a monitoring microphone, to a second relationship, which is the spatial positional relationship between a second microphone array having the same configuration as the first microphone array and the measurement location when it is assumed that the monitoring microphone has moved to a measurement location of a measurement object. The sound pressure estimation device includes a correction filter determination unit that determines a correction filter based on the sound pressures of first acoustic signals caused by a predetermined sound source and collected by each of the first microphone arrays, and the sound pressures of monitoring acoustic signals caused by the sound source and collected by the monitoring microphones, when the measurement object is present, and a second sound pressure estimation unit that estimates the sound pressure of the second acoustic signal caused by the sound source at the measurement location using the correction filter and the sound pressures of second acoustic signals caused by the sound source and collected by each of the second microphone arrays, when the measurement object is present. [Effects of the Invention]

[0006] According to the sound pressure estimation device of the present disclosure, it is possible to suppress a decrease in accuracy of sound pressure estimation even in a situation where there is sound reflected from the head. [Brief explanation of the drawings]

[0007] [Figure 1] FIG. 1 is a diagram showing an example of the functional configuration of a sound pressure estimation system according to this embodiment. [Figure 2] FIG. 2 is a diagram showing an example of the functional configuration of the sound pressure estimation device according to this embodiment. [Figure 3] FIG. 3 is a diagram showing an example of a processing flow of the sound pressure estimation device according to this embodiment. [Figure 4] FIG. 4 is a diagram showing an example of the installation positions of the first microphone array, the second microphone array, and the monitoring microphones. [Figure 5] FIG. 5 is a diagram showing FIG. 4 from a different perspective. [Figure 6] FIG. 6 shows the state of Experiment 1. [Figure 7] FIG. 7 shows the parameters of Experiment 1. [Figure 8] FIG. 8 shows the results of Experiment 1. [Figure 9] FIG. 9 shows the results of Experiment 2. [Figure 10] FIG. 10 is a diagram illustrating an example of the functional configuration of a computer. DETAILED DESCRIPTION OF THE INVENTION

[0008] Hereinafter, embodiments of the present disclosure will be described in detail. Note that components having the same functions are assigned the same numbers, and duplicated descriptions will be omitted.

[0009] <Character notation> In the text of the specification, the bottom right character and the top right character cannot be written in the same horizontal position. In this disclosure, the text of the specification n m On the other hand, the mathematical formulas and figures in the specification are written in the same position in the horizontal direction.

[0010] <Embodiment> FIG. 1 is a diagram showing an example of the functional configuration of a sound pressure estimation system according to this embodiment. FIG. 2 is a diagram showing an example of the functional configuration of a sound pressure estimation device according to this embodiment. The sound pressure estimation system 100 is a system that predicts the sound pressure at a measurement point TP of a measurement target T. As shown in FIG. 1, the sound pressure estimation system 100 of this embodiment includes a sound pressure estimation device 1, a first microphone array 81, a second microphone array 82, and a monitoring microphone M. The first microphone array 81, the second microphone array 82, and the monitoring microphone M are connected to the sound pressure estimation device 1 by wire or wirelessly. The sound pressures of the acoustic signals collected by the first microphone array 81, the second microphone array 82, and the monitoring microphone M are output to the sound pressure estimation device 1.

[0011] In this example, the first microphone array 81 and the second microphone array 82 are tetra-shaped microphone arrays having the same configuration. Here, the term "same configuration" refers to an array that has the same shape and can perform the same function. However, the microphone arrays of the present disclosure are not limited to tetra-shaped. In other words, the first microphone array 81 and the second microphone array 82 only need to have the same configuration, and may have a microphone array configuration other than a tetra-shaped configuration. The first microphone array 81 of this embodiment includes a first microphone 811, a second microphone 812, a third microphone 813, and a fourth microphone 814. The second microphone array 82 includes a first microphone 821, a second microphone 822, a third microphone 823, and a fourth microphone 824.

[0012] 2, the sound pressure estimation device 1 includes a receiving unit 10, a correction filter determination unit 20, and a second sound pressure estimation unit 30. The correction filter determination unit 20 includes a first sound pressure estimation unit 21 and a filter calculation unit 22.

[0013] The sound pressure estimation device 1 in the sound pressure estimation system 100 performs the sound pressure estimation method of this embodiment by implementing the processing flow illustrated in Fig. 3. Hereinafter, with reference to Fig. 3, an example of the processing flow of the sound pressure estimation method in the sound pressure estimation system 100 will be described in the order of procedures.

[0014] (Initial setting) As an initial setting before using the sound pressure estimation device 1, the first microphone array 81, the second microphone array 82, and the monitoring microphone M are set at the positions shown in FIGS. 4 and 5 relative to the measurement target T. FIG. 4 is a diagram showing an example of the installation positions of the first microphone array, the second microphone array, and the monitoring microphone. FIG. 5 is a diagram showing FIG. 4 from a different perspective. In this example, as shown in FIG. 4, the position of the left ear of a person (human) who is the measurement target T is shown as the measurement point TP. FIG. 4 shows the measurement target T as seen from above, and FIG. 5 shows the same state as FIG. 4 when viewed from a perspective where the face of the person who is the measurement target T is facing forward.

[0015] Using the coordinate axes shown in FIG. 4, the measurement target T, which is a person (human), stands in the direction shown below. That is, if we assume that z=0 on the xy plane shown in FIG. 4 is the ground (floor), the measurement target T stands on the floor facing in the +y direction. In this case, the head of the measurement target T is located on the +z side of the legs of the measurement target T. In this example, the position of the left ear of the measurement target T is set as the measurement point TP.

[0016] The monitoring microphone M shown in FIGS. 4 and 5 is located at the center of gravity of a triangle formed by the first microphone 821, the second microphone 822, and the third microphone 823 of the second microphone array 82 (the "center of gravity G2" shown conceptually in FIG. 1). In the example of FIGS. 4 and 5, the virtual plane of the triangle formed by the first microphone 821, the second microphone 822, and the third microphone 823 is positioned perpendicular to the axis connecting the measurement point TP and the center of gravity G2. The first microphone 821 and the third microphone 823 are on the same xy plane, and the second microphone 822 is positioned above (on the +z side of) the first microphone 821 and the third microphone 823. The fourth microphone 824 of the second microphone array 82 is positioned farther from the measurement point TP (on the +x side) than the first microphone 821, the second microphone 822, and the third microphone 823. This positional relationship determines the positions of the first microphone 821 to the fourth microphone 824 that form the tetra-shaped microphone array. In the present disclosure, the above-described state of the positional relationship between the measurement target T and the second microphone array 82 will be referred to as the “first state J1.” In the first state J1, the distance between the measurement point TP and the center of gravity G2 is L.

[0017] In the first state J1, the first microphone array 81 is set to the following position: That is, the spatial positional relationship between the first microphone array 81 and the monitoring microphone M (hereinafter also referred to as the "first relationship D1") is set to the same positional relationship as the spatial positional relationship between the second microphone array 82 and the measurement point TP (hereinafter referred to as the "second relationship D2") when it is assumed that the monitoring microphone M has moved to the measurement point TP of the measurement object T.

[0018] In other words, since the first microphone array 81 and the second microphone array 82 are microphone arrays with the same configuration, if we assume that the position of the monitoring microphone M is moved to the measurement point TP while the first relationship D1 is maintained between the first microphone array 81 and the monitoring microphone M, the following can be said: That is, the first microphone 811 and the first microphone 821 will be in the same position. The second microphone 812 and the second microphone 822 will be in the same position. The third microphone 813 and the third microphone 823 will be in the same position. The fourth microphone 814 and the fourth microphone 824 will be in the same position.

[0019] In this disclosure, the state in which the monitoring microphone M, second microphone array 82, and first microphone array 81 are installed in appropriate positions will be referred to as the "second state J2." As shown in Figures 4 and 5, in the second state J2, the distance between the monitoring microphone M and the center of gravity of the triangle formed by the first microphone 811, second microphone 812, and third microphone 813 of the first microphone array 81 (the "center of gravity G1" shown as a conceptual diagram in Figure 1) is L.

[0020] (Sound pressure estimation method) In the second state J2, the correction filter determination unit 20 of the sound pressure estimation device 1 determines a correction filter E from the sound pressures of the acoustic signals (hereinafter also referred to as "first acoustic signals") caused by a sound source (sound source s0) at a predetermined position other than the first microphone array 81 and the second microphone array 82, which are collected by each of the first microphone arrays 81, and the sound pressure of the acoustic signal (hereinafter also referred to as "monitoring acoustic signal") caused by the sound source s0, which is collected by the monitoring microphone M. Specifically, this is explained as follows using FIG. 3.

[0021] In step S10, the receiving unit 10 receives each of the sound pressures (sound pressures p811, p812, p813, p814) of the first acoustic signal and outputs them to the correction filter determination unit 20. Here, the sound pressure p811 is the sound pressure from the first microphone 811. The sound pressure p812 is the sound pressure from the second microphone 812. The sound pressure p813 is the sound pressure from the third microphone 813. The sound pressure p814 is the sound pressure from the fourth microphone 814. The receiving unit 10 receives each of the sound pressures (sound pressures p821, p822, p823, p824) of the acoustic signal (hereinafter also referred to as the "second acoustic signal") originating from the sound source s0 collected by each of the second microphone array 82 and outputs them to the second sound pressure estimation unit 30. Here, the sound pressure p821 is the sound pressure from the first microphone 821. The sound pressure p822 is the sound pressure from the second microphone 822. The sound pressure p823 is the sound pressure from the third microphone 823. The sound pressure p824 is the sound pressure from the fourth microphone 824. The receiving unit 10 receives the sound pressure p mand outputs it to the correction filter determination unit 20.

[0022] In step S21, the first sound pressure estimation unit 21 uses the received sound pressures p811, p812, and p813 to calculate (estimate) the sound pressure p calculated by the following equation (1) as the sound pressure (first sound pressure P1) at the position of the monitoring microphone M.

number

[0023] Step S21 may be configured to estimate the sound pressure at the position of the monitoring microphone M using the sound pressures p811, p812, p813, and p814 according to the following equation (2) instead of the above equation (1).

number

number

[0024] The calculated p or P (first sound pressure P1) is output to the filter calculation unit 22. In equation (3), the superscript * represents a complex conjugate.

[0025] In step S22, the filter calculation unit 22 calculates the first sound pressure P1 and the p m Using this, p (or P) and p m The correction filter E is calculated to correct the difference between the sound pressure p m The filter that corrects the first sound pressure P1 can be estimated from E. The estimation formula for E is shown below.

number

number

[0026] In step S30, the second sound pressure estimation unit 30 estimates p or P of the second acoustic signal caused by the sound source s0 at the measurement location TP using each of the sound pressures (sound pressures p821, p822, p823, p824) of the acoustic signal caused by the sound source s0 (hereinafter also referred to as the "second acoustic signal") collected by each of the second microphone arrays 82 in the second state J2 and the correction filter E.

[0027] That is, the second sound pressure estimation unit 30 calculates p or P according to the above formula (1) or formula (2) using the sound pressures p821, p822, p823, and p824. That is, in the case of formula (1), p821 is used as p1, p222 as p2, and p823 as p3. Then, as shown in the following formula, the second sound pressure estimation unit 30 multiplies p or P (also referred to as "p'") by a correction filter E to calculate the sound pressure (hereinafter also referred to as "second sound pressure P2"), and outputs the sound pressure estimation result at the measurement point TP.

number

[0028] The sound pressure estimation device 1 of the present disclosure uses a first microphone array 81 and a second microphone array 82 as a method for estimating sound pressure at a measurement point TP. The first microphone array 81 and the second microphone array 82 have the same configuration and are each composed of multiple microphones. Therefore, even in a situation where so-called head reflections due to the measurement target T are present, each microphone collects head reflections and calculations are performed taking into account the difference in sound pressure between the microphones. Therefore, the sound pressure estimation device 1 can suppress a decrease in the accuracy of sound pressure estimation even in a situation where sound is reflected from the head.

[0029] <Experiment 1> Figure 6 shows the setup of Experiment 1. Figure 7 shows the parameters for Experiment 1. Figure 8 shows the results of Experiment 1. In Experiment 1, as shown in Figure 6, an area 7 m wide, 8 m long, and 3 m high was partitioned by walls. One of the corners of the area, 1 m above the floor, was designated as the origin C0. A sound source s0 was placed 0.5 m in the +x direction and 0.5 m in the +y direction from the origin C0. In this experiment, a hard sphere simulating a human head was used as the measurement target T, rather than a person. The measurement target T was placed 4.0 m in the +x direction and 4.5 m in the +y direction from the origin C0, facing in the -x direction so that the part of the measurement target T that would be the right ear of the measurement target T was located. This position was designated as the measurement point TP.

[0030] The second microphone array 82 is installed so that its center of gravity G2 is located 5 cm away from the measurement point TP in the -y direction. The first microphone array 81 is installed so that its center of gravity G1 is located 5 cm away from the second microphone array 82 in the -y direction. The monitoring microphone M is installed 5 cm away from the measurement point TP in the -y direction. The sound source s1 is installed 10 cm away from the measurement point TP in the +x direction. The first microphone array 81, the second microphone array 82, and the monitoring microphone M are positioned relative to each other so that the imaginary plane of a triangle formed by the first microphone 821, the second microphone 822, and the third microphone 823 is perpendicular to the axis connecting the measurement point TP and the center of gravity of the triangle. The first microphone 821 and the third microphone 823 are on the same xy plane, and the second microphone 822 is located above (on the +z side of) the first microphone 821 and the third microphone 823. The fourth microphone 824 in the second microphone array 82 is positioned farther from the measurement point TP (on the -y side) than the first microphone 821, the second microphone 822, and the third microphone 823. This state in Experiment 1 corresponds to the first state J1 described above.

[0031] In the first state J1 of the first embodiment, the first microphone array 81 is arranged in the relationship of the second state J2 described above.

[0032] The parameters for Experiment 1 were as shown in Figure 7: sampling frequency 8000Hz, frequency band 100-800Hz, step size parameter 0.5, number of taps in the primary path 1000, number of taps in the secondary path 300, number of taps in the prediction filter 600, number of taps in the noise control filter 500, and radius of the hard sphere 0.1m. The noise control filter used was the Filtered X NLMS algorithm.

[0033] The state in Figure 6 is set as the second state J2, and the sound pressure (second sound pressure P2) at the measurement point TP is estimated by the sound pressure estimation device 1 using equation (1). The obtained second sound pressure P2 is used to estimate the sound pressure at the measurement point TP (second sound pressure P2). m The experimental results for when active noise control was performed using the second sound pressure P2 predicted by the method of equation (1) are shown in Figure 8. In Figure 8, (a) shows the result without active noise control, (b) shows the result when active noise control was performed using sound collected by the monitoring microphone M, and (c) shows the result when noise control was performed using the second sound pressure P2 predicted by the method of equation (1). Figure 8 (A) is a graph showing the convergence curve, and Figure 8 (B) is a graph showing the frequency characteristics.

[0034] As shown in Figure 8, both (b) and (c) have lower sound pressure values ​​than (a), demonstrating that noise is suppressed. Furthermore, (c) has a greater suppression effect than (b). In other words, active noise control using the method of equation (1) of the present disclosure has a greater sound pressure suppression effect than active noise control using sound collected by the monitoring microphone M. Therefore, even in situations where there is sound reflected from the head, it is possible to suppress a decrease in the accuracy of sound pressure estimation. This contributes to expanding the sweet spot in active noise control near the head.

[0035] <Experiment 2> 9 shows the results of Experiment 2. In Experiment 2, the method of Equation (1) in Experiment 1 was replaced with the method of Equation (2), but the other conditions were the same as in Experiment 1.

[0036] In Figure 9, (a) shows the results without active noise control, (b) shows the results with active noise control using sound collected by monitoring microphone M, and (c) shows the results with noise control using second sound pressure P2 predicted by the method of equation (2). Figure 9 (A) is a graph showing the convergence curve, and Figure 9 (B) is a graph showing the frequency characteristics.

[0037] As shown in Figure 9, both (b) and (c) have lower sound pressure values ​​than (a), and noise is suppressed. Also, (c) has a greater noise suppression effect than (b). That is, the active noise control using the method of equation (2) of the present disclosure reduces the sound pressure P m The results showed that the sound pressure suppression effect was higher than that of active noise control using a head-based method. Therefore, even in situations where there is sound reflected from the head, it is possible to suppress the decline in sound pressure estimation accuracy. This contributes to expanding the sweet spot in active noise control near the head.

[0038] Note that, although the present embodiment has been described in the case of second state J2, the microphone arrays of first microphone array 81 and second microphone array 82 are not limited to tetra-type, and may be microphone arrays of other shapes as long as they have the same configuration. That is, it is sufficient to prepare another microphone array (herein also referred to as "second microphone array 86") having the same configuration as one microphone array (herein also referred to as "first microphone array 85"), and set the spatial positional relationship (herein also referred to as "first relationship D3") between first microphone array 85 and monitoring microphone M to the spatial positional relationship (herein also referred to as "second relationship D4") between second microphone array 86 and measurement location TP when it is assumed that monitoring microphone M has moved to measurement location TP of measurement object T, so that the second microphone array 86 can be used.

[0039] The above describes the embodiments of the present disclosure. The various processes in the above embodiments may not only be executed in chronological order as described, but may also be executed in parallel or individually depending on the processing capabilities of the devices that execute the processes or as needed. Needless to say, other appropriate modifications are possible without departing from the spirit of the present disclosure.

[0040] The present disclosure may further include a device (terminal) for using the device of the present disclosure or the method of the present disclosure via a network (telecommunications line). The "device (terminal) for use" may be provided with functions (e.g., control function, decoding function, restoration function, input / output function, etc.) necessary to obtain the effects of implementing the device of the present disclosure or the method of the present disclosure.

[0041] [Processor, program, recording medium] The functions performed by the components described herein may be implemented in circuitry or processing circuitry, including general-purpose processors, application-specific processors, integrated circuits, ASICs (Application Specific Integrated Circuits), a CPU (a Central Processing Unit), conventional circuits, and / or combinations thereof, programmed to perform the described functions. A processor includes transistors and other circuits and is considered to be circuitry or processing circuitry. A processor may also be a programmed processor that executes programs stored in memory.

[0042] In this specification, a circuitry, unit, or means is hardware that is programmed to realize or performs the described functions, which may be any hardware disclosed herein or any hardware known to be programmed to realize or perform the described functions.

[0043] If the hardware is a processor considered to be a type of circuitry, the circuitry, means, or unit is a combination of the hardware and software used to configure the hardware and / or processor.

[0044] The various processes described above can be implemented by loading a program that executes each step of the above method into the recording unit 2020 of the computer 2000 shown in Figure 10, and operating the control unit 2010, input unit 2030, output unit 2040, display unit 2050, etc.

[0045] The program describing the processing contents can be recorded on a computer-readable recording medium, which may be, for example, a magnetic recording device, an optical disk, a magneto-optical recording medium, a semiconductor memory, or any other suitable recording medium.

[0046] The program may be distributed, for example, by selling, transferring, lending, etc. a portable recording medium such as a DVD or CD-ROM on which the program is recorded. Furthermore, the program may be stored in a storage device of a server computer, and then transferred from the server computer to another computer via a network, thereby distributing the program.

[0047] A computer that executes such a program may first temporarily store the program recorded on a portable recording medium or transferred from a server computer in its own storage device. Then, when executing a process, the computer reads the program stored on its own recording medium and executes the process in accordance with the read program. Alternatively, the computer may read the program directly from a portable recording medium and execute the process in accordance with the program. Furthermore, the computer may execute the process in accordance with the program each time a program is transferred from a server computer to the computer. The server computer may not transfer the program to the computer, but may instead execute the process through a so-called ASP (Application Service Provider) service, which realizes the processing function by issuing an execution instruction and obtaining the results. Furthermore, the server computer may execute the process on a terminal using a so-called SaaS (Software as a Service) service, which allows users to use part of the server computer along with the program. In this embodiment, the program includes information used for computer processing that is equivalent to a program (such as data that is not a direct instruction to the computer but has properties that define computer processing).

[0048] Furthermore, in this embodiment, the device is configured by executing a predetermined program on a computer, but at least a part of the processing contents may be realized by hardware. [Explanation of symbols]

[0049] 1. Sound pressure estimation device 10 Receiving unit 100 Sound pressure estimation system 20 Correction filter determination unit 21 First sound pressure estimation unit 22 Filter calculation section 30 Second sound pressure estimation unit 81,85 1st microphone array 811,821 1st microphone 812,822 Second microphone 813,823 Third microphone 814,824 4th microphone 82,86 Second microphone array C0 starting point D1, D3 first relation D2,D4 Second relation M Monitoring Microphone T Measurement target TP measurement point s0,s1 sound source p811,p812,p813,p814,p821,p822,p823,p824,p m sound pressure

Claims

1. A sound pressure estimation device that sets a first relationship, which is a spatial positional relationship between a first microphone array and a monitoring microphone, to a second relationship, which is a spatial positional relationship between a second microphone array having the same configuration as the first microphone array and the measurement location when it is assumed that the monitoring microphone has moved to a measurement location of a measurement target, a correction filter determination unit that determines a correction filter based on sound pressures of first acoustic signals caused by predetermined sound sources and collected by the first microphone arrays, and sound pressures of monitoring acoustic signals caused by the sound sources and collected by the monitoring microphones, in a state where the measurement target is present; a second sound pressure estimation unit that, in a state where the measurement target is present, estimates the sound pressure of the second acoustic signal caused by the sound source at the measurement location using the correction filter and sound pressures of second acoustic signals caused by the sound source collected by each of the second microphone arrays; A sound pressure estimation device having the above structure.

2. The sound pressure estimation device according to claim 1 , wherein the first microphone array and the second microphone array are tetra-type microphone arrays.

3. a fourth microphone in the second microphone array is positioned farther from the measurement location than the first microphone, the second microphone, and the third microphone, and is arranged such that a virtual plane of a triangle formed by the first microphone, the second microphone, and the third microphone is perpendicular to an axis connecting the measurement location and the center of gravity of the triangle; the correction filter determination unit determines a correction filter for each of the first microphone array and the second microphone array based on an average sound pressure of the three sound pressures collected by the first microphone, the second microphone, and the third microphone and a sound pressure of a monitoring acoustic signal caused by the sound source. The sound pressure estimation device according to claim 2 .

4. a fourth microphone in the second microphone array is positioned farther from the measurement location than the first microphone, the second microphone, and the third microphone, and is arranged such that a virtual plane of a triangle formed by the first microphone, the second microphone, and the third microphone is perpendicular to an axis connecting the measurement location and the center of gravity of the triangle; the correction filter determination unit determines a correction filter from sound pressures at any point calculated by using spherical harmonic function expansion of the sound pressures of the first microphone, the second microphone, and the third microphone collected in the first microphone array and the second microphone array, and from the sound pressure of a monitoring acoustic signal caused by the sound source. The sound pressure estimation device according to claim 2 .

5. A sound pressure estimation method in which a first relationship, which is a spatial positional relationship between a first microphone array and a monitoring microphone, is set to a second relationship, which is a spatial positional relationship between a second microphone array having the same configuration as the first microphone array and the measurement location when it is assumed that the monitoring microphone has moved to a measurement location of a measurement target, a correction filter determination unit of the sound pressure estimation device determines a correction filter from each sound pressure of a first acoustic signal caused by a predetermined sound source and collected by each of the first microphone arrays, and from the sound pressure of a monitoring acoustic signal caused by the sound source and collected by the monitoring microphone, in a state where the measurement target is present; a second sound pressure estimation unit of the sound pressure estimation device, in a state where the measurement target is present, estimates the sound pressure of the second acoustic signal caused by the sound source at the measurement location using each of the sound pressures of the second acoustic signal caused by the sound source collected by each of the second microphone arrays and the correction filter; Sound pressure estimation method.

6. A program for causing a computer to function as the sound pressure estimation device according to any one of claims 1 to 4.

Images