JP2007025380A - Device and program for supporting sound design - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a device and a program for supporting sound design that optimize the installation direction of an array speaker. <P>SOLUTION: A computer executes: a stage of setting angles of units 16B, 16C, and 16D of the array speaker 16A to specified angle patterns; a stage (A) of calculating positions of axis points 17B, 17C, and 17D which are intersections of directions in which the speaker faces and a sound reception surface; a stage (B) of determining an equalizer to optimize frequency characteristics at the axis points; a stage of setting the equalizer for the respective units of the array speaker and calculating standard deviations in frequency gain at respective points on the entire sound reception surface; and a stage of searching for the angle pattern whose standard deviation is minimum by repeating those calculations for all the angle patterns. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to an apparatus and a program for supporting acoustic design of audio equipment.

  Conventionally, various design support apparatuses and programs have been proposed for the design of audio equipment in music halls and meeting facilities such as conference halls (see Patent Documents 1 to 4). In such an apparatus or program, before bringing the sound equipment into the field, a surface (hereinafter simply referred to as a seat) that receives the sound of a speaker installed in the sound hall or the like in advance based on the characteristics of the selected sound system. It is desirable that the acoustic characteristics of the “speaker sound receiving surface” or “sound receiving surface”) be displayed on the display device and reflected in the selection of the sound system and the sound adjustment in the field.

  Therefore, Patent Document 1 discloses an apparatus that preliminarily converts impulse responses at positions around a speaker into data, and automatically calculates a sound image localization parameter on the sound receiving surface based on the data. In this document, a template in which the impulse response is converted to FFT is prepared.

  Patent Document 2 discloses an acoustic system design support apparatus that automates device selection and design work using a GUI.

  Patent Document 3 describes a sound image localization parameter automatic calculation apparatus for obtaining a desired sound image localization parameter.

  Furthermore, in Patent Document 4, an acoustic signal is automatically output in a short time by outputting an acoustic signal from a speaker in the field, and using difference characteristic data between the acoustic signal and the collected sound collected by the microphone. An acoustic adjustment device for adjustment is disclosed.

In addition, at the stage of arranging sound equipment such as speakers, the necessary speakers for the sound receiving area of the sound receiving surface can be input by inputting the cross-sectional shape of a music hall or the like only in a line array that is not three-dimensional. A design support program for calculating the number, orientation, level balance, EQ, and delay has been put into practical use.
JP 2002-366162 A JP 2003-16138 A JP 09-149500 A JP 2005-49688 A

  However, speakers installed in an acoustic hall or the like generally have an array speaker in which speaker units having a plurality of directivities are combined. In spite of such a specific speaker form, in the above document, in order to homogenize the frequency characteristics of the sound pressure level of the sound receiving surface and the distribution of the sound pressure level, the installation direction of the array speaker, its No specific proposal or description about how to optimize the angle between the speaker units is disclosed.

  Therefore, in view of such a problem, an object of the present invention is to provide an acoustic design support device and a program that optimize an installation direction of an array speaker.

In the present invention, means for solving the above-described problems are configured as follows.

(A) The present invention
An acoustic design support device for calculating an optimum value of each installation angle of a plurality of speaker units constituting an array speaker,
Pattern setting means for setting a plurality of combinations of installation angles of the respective speaker units as installation angle patterns;
For each of the set installation angle patterns, an axial point position calculation process for calculating the position of an axial point that is the intersection of the axis of the speaker unit and the sound receiving surface at a predetermined installation angle of each speaker unit, and the sound at the axial point Based on the equalizer parameter calculation process for determining the equalizer parameter of each speaker unit so that the degree of variation between the axial points is minimized with respect to the frequency characteristic of the pressure level, and on the sound receiving surface based on the determined equalizer parameter and the frequency characteristic of each speaker. Sound pressure level variation degree calculation means for performing a sound pressure level variation degree calculation process for obtaining a degree of variation in sound pressure level at a plurality of preset points;
A pattern selection unit that selects an installation angle pattern with the smallest variation obtained by the sound pressure level variation degree calculation unit as an optimum pattern of the installation angles of each speaker unit;
It is provided with.

  According to the present invention, the degree of variation in the sound pressure level between points on the sound receiving surface is calculated, and the angle pattern having the minimum degree is selected. Accordingly, the sound pressure level of the entire sound receiving surface can be homogenized. According to the present invention, the frequency characteristic of the sound pressure level at the axis point ahead of the center line (ie, the axis line) in the direction in which the sound of the speaker is radiated is optimized instead of calculating the degree of variation suddenly. Therefore, the sound pressure level of the entire sound receiving surface and the frequency characteristics thereof can be homogenized more effectively and in a shorter time. On the other hand, in the past, the conditions were manually set, the parameters were changed, and the simulation was often repeated.However, according to such ad hoc trial and error, the optimum value as in the present invention is reached. It ’s considered difficult to spend some distracting time.

  The calculation of the sound pressure level may not be the same as the frequency of each channel of a parametric equalizer such as a specific frequency at a point on the sound receiving surface (described later (d) and (e)). The value obtained by adding the square of the gain data for each) to the sum of the specific frequencies or the weighted value can be substituted. The degree of variation can be calculated, for example, by calculating and accumulating values obtained by substituting the sound pressure level at each point on the sound receiving surface and taking the variance of the accumulated data or standard deviation. The same applies to (b) described later.

(B) The present invention
An acoustic design support program for calculating an optimum value of each installation angle of a plurality of speaker units constituting an array speaker, characterized by causing a computer to execute the following steps.
(1) a pattern setting step for setting a plurality of patterns using a combination of installation angles of the speaker units as installation angle patterns;
About each set pattern
(2-1) Axis point position calculating step for calculating the position of the axis point that is the intersection of the axis line of the speaker unit and the sound receiving surface at a predetermined installation angle of each speaker unit for each set angle pattern set above.
(2-2) an equalizer parameter calculation processing step for determining an equalizer parameter of each speaker unit so that a variation degree between the axis points is minimized with respect to a frequency characteristic of a sound pressure level at the axis points;
(2-3) Sound pressure level variation degree for performing a sound pressure variation degree calculation process for obtaining a sound pressure level variation degree at a plurality of points set in advance on the sound receiving surface based on the determined equalizer parameter and frequency characteristics of each speaker. A calculation step;
(3) A pattern selection step of selecting the pattern having the smallest variation obtained in the sound pressure level variation degree calculation step as the optimum pattern of the installation angles of the speaker units.

  By executing the program of the present invention, the same effects as in (a) can be obtained.

(C) The present invention
An acoustic design support device that repeatedly executes a pattern setting unit, a sound pressure level variation degree calculation unit, and a pattern selection unit configured in (a) in a loop,
The pattern setting means includes means for setting a plurality of installation angle patterns in coarse angle increments in the first loop, and one or more of the installation angle patterns set in the previous loop having a small variation in sound pressure level. Means for resetting a plurality of installation angle patterns in finer increments near the installation angle pattern;
The pattern selection means is a means for selecting one or a plurality of installation angle patterns set by the pattern setting means with a small variation in sound pressure level, and a plurality of fine angle increments in a final loop. Means for selecting the installation angle pattern as the optimum installation angle pattern of each speaker unit.

  According to the apparatus of the present invention, since the pattern is first set in coarse angle increments, and the setting angle range of the setting angle pattern to be reset is further reduced, the optimum setting angle pattern can be efficiently and quickly set. You can explore. On the other hand, regardless of the present invention, if the calculation is performed with a small angle step from the beginning, the combination pattern becomes enormous, and the calculation may not be possible in terms of the order of the calculation cost.

(D) The present invention
(B) an acoustic design support program that repeatedly executes a pattern setting step, a sound pressure level variation degree calculation step, and a pattern selection step in a loop shape,
The pattern setting step includes a step of setting a plurality of installation angle patterns in rough angle increments in the first loop, and one or more of the installation angle patterns set in the previous loop with a small variation in sound pressure level. Re-setting a plurality of installation angle patterns in finer increments near the installation angle pattern;
The pattern selection step includes a step of selecting one or a plurality of installation angle patterns set by the pattern setting means with a small variation in sound pressure level, and a plurality of fine angle increments in a final loop. Including the step of selecting the installation angle pattern as the optimum installation angle pattern of each speaker unit.

  By executing the program of the present invention, the same effect as in (c) is obtained.

(E) The present invention
The equalizer parameter calculation process is:
For each frequency of the equalizer channel that controls the frequency characteristics of the audio signal supplied to each speaker unit, set a pattern that combines the gain setting levels of each speaker unit at the frequency of the channel,
Among the patterns, for the gain at each axis point of each of the speaker units at the frequency of the channel for the set pattern, a pattern that minimizes the degree of variation between the axis points is determined for each frequency of each channel. By selecting independently, the equalizer parameters for each speaker unit are calculated.

  According to the apparatus of the present invention, the parameters combining the equalizer levels are patterned, and these patterns are automatically searched to find a combination with less variation between the axis points. The optimum equalizer can be easily obtained under the condition of the angle pattern. In addition, the configuration of the present invention does not search for a pattern on an ad hoc basis, but patterns a parameter for each frequency of each channel of the equalizer, thereby minimizing the variation between gain axis points at that frequency. Thus, the optimum value can be obtained in a shorter time.

  For the “variation degree”, for example, the gain data is accumulated from the frequency characteristics at each of the axis points (the number of data to be accumulated is the number of the speaker units), and the data. The absolute value of the variance or the standard deviation. This calculation is the same in (f) described later.

(F) The present invention
The equalizer parameter calculation processing step includes:
For each frequency of the equalizer channel that controls the frequency characteristics of the audio signal supplied to each speaker unit, set a pattern that combines the gain setting levels of each speaker unit at the frequency of the channel,
Among the patterns, for the gain at each axis point of each of the speaker units at the frequency of the channel for the set pattern, a pattern that minimizes the degree of variation between the axis points is determined for each frequency of each channel. By selecting independently, the equalizer parameters for each speaker unit are calculated.

  By executing the program of the present invention, the same effects as in (e) can be obtained.

  According to the present invention, the sound pressure level of the entire sound receiving surface and the frequency characteristics thereof can be homogenized. Rather than suddenly calculating the degree of variation, an equalizer parameter that optimizes the frequency characteristic of the axis point ahead of the direction (axis line) in which the sound of the speaker is radiated is obtained in advance. In a shorter time, the sound pressure level and the frequency characteristics of the entire sound receiving surface can be homogenized.

  The internal configuration of the acoustic design support apparatus according to this embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating an internal configuration of the acoustic design support device of the present embodiment and a data structure of assembly facility basic shape data. The acoustic design support device 1 assists selection and setting of audio equipment such as speakers in a meeting facility such as a hall or a conference hall, and simulates a sound field when a sound is output, and outputs the display. Is to do. As shown in FIG. 1 (A), the acoustic design support device 1 is composed of a general-purpose computer or the like and a program installed or stored in a fixed memory, and includes the following elements. That is, an operation unit 102, a CPU 103, an external storage device 104, a memory 105, and an audio output device 106 are provided, and a simulation result is output to the display 101 outside the acoustic design support device of the present embodiment. . Each configuration will be described below.

The display 101 of FIG. 1 is composed of a general-purpose liquid crystal display, and displays a screen (see FIGS. 3 to 5 to be described later) for assisting the input of setting conditions in inputting various setting conditions, and results of simulation. Or show. As described above, the display device 101 is indispensable for carrying out the present embodiment, but is external to the device 1 of the present embodiment.
The operation unit 102 in FIG. 1 accepts input of various setting conditions, instruction input of sound field simulation, instruction input of optimization of speaker arrangement, and selection of a display format of simulation results.
A CPU 103 in FIG. 1 executes a program 10 stored in an external storage device 104 (to be described later). In response to an instruction from the operation unit 102, the CPU 103 cooperates with other hardware resources of the acoustic design support device 1. Run the program.
The external storage device 104 of FIG. 1 is configured by a hard disk, for example, and includes a program 10, SP data 107 obtained by converting an impulse response around the speaker into FFT, equalizer data 108 that is equalizer data suitable for the speaker, A speaker selection table 109 (see FIG. 6 described later) and assembly facility basic shape data 110 are stored (details will be described later).
1 temporarily stores data read from the data stored in the external storage device 104, and exchanges data with the CPU 103.
The audio output device 106 of FIG. 1 is used when the sound field at a predetermined position on the sound receiving surface is confirmed by sound through headphones or speakers (not shown) as a result of the simulation of the acoustic design support device 1. The audio output device 106 includes a DSP (not shown) and a D / A converter, and convolves the aforementioned SP data 107 in the frequency domain with sound source data (not shown) stored in the external storage device 104. , Output from the headphones through the D / A converter.

Here, the SP data 107A and 107B in FIG. 1 will be described. The SP data 107 in FIG. 1 is converted into an FFT using a complex function and stored in the external storage device 104 in advance. At the time of calculation, only the SP data 107B in the direction corresponding to a predetermined point necessary for the calculation is extracted and placed in the memory 105. Thereby, when calculating the response at the sound receiving point, the delay of the transmission time can be calculated as a phase delay corresponding to the delay time for each frequency in the frequency domain. Further, since the gain and equalizer are calculated only by the calculation in the frequency domain, the time required for simulation data calculation ST2 in FIG. 2 to be described later can be shortened. Similarly, the response of multiple speakers can be synthesized in the frequency domain. Therefore, the acoustic parameter can be calculated from the frequency response obtained by the above calculation, and it is not necessary to consider the length of the time response. Therefore, it is not necessary to consider the length of the time domain data to be subjected to the FFT transform. On the other hand, in the past, the inverse FFT transform was used to align the time domain between the speaker units. Therefore, when the delay was taken into account, the number of data on the time axis increased, and the increased amount of time also increased. There was a waste that it was necessary to perform such FFT conversion further.
In ST3 of FIG. 2 described later, when confirming the sound field with headphones, it is necessary to change the length of the FFT depending on the size of the delay.

  Next, the correction filters 107C and 107D will be described. As shown in FIG. 1, the SP data 107B in the corresponding direction in the memory 105 includes data for generating and storing data 107C and 107D during the simulation. In other words, in addition to impulse response data, phase-transformed time-delayed phase data obtained by Fourier transforming the phase-delayed filter data caused by the distance between the sound source and the sound receiving point and the filter for distance attenuation correction, respectively. A filter 107C and a Fourier transformed distance attenuation correction filter 107D are created. These data are automatically Fourier-transformed when a lattice point as shown in FIG. 9 described later is set during the simulation to create these data 107C and 107D.

  Next, the equalizer data 108 will be briefly described (details will be described with reference to FIGS. 7 and 8). The equalizer data 108 is obtained by Fourier transforming an equalizer filter for adjusting the frequency domain characteristics of the speaker, and is stored in the memory 105 in the process of simulation and optimization (see ST15) in FIG. 2 described later. Is created. Specifically, the gain adjustment level for each frequency of a parametric equalizer or the like using a GUI (setting method itself not shown) as shown in FIG. 3 and subsequent figures can be set by user settings for each speaker unit (FIG. 2). Equivalent to ST13). In ST17 of FIG. 2 to be described later, equalizer parameters can be automatically set for each speaker unit by optimization as shown in FIG. 7C and FIG. This set equalizer is once converted into impulse response data in the process of setting the condition in ST13 of FIG. 2, and then this data is subjected to FFT conversion and stored as frequency domain data.

  Next, the speaker selection table 109 will be briefly described (detailed in the description of FIG. 6 described later). The speaker selection table 109 is used to automatically select specific speaker candidates when conditions are set in FIGS. Data for making this determination is stored.

  Next, the data structure of the assembly facility basic shape data 110 will be described with reference to FIG. As shown in FIG. 1B, the data of the meeting facility basic shape data 110 includes a plurality of combinations of the meeting facility name, the shape coordinate data, and the image bitmap in the external storage device 104 or the memory 105. (Refer to the shape selection 11D in FIG. 3 for an example of an image bitmap). The coordinate data includes setting items shown in FIG. 4 described later for setting the shape of the space of the assembly facility.

  In the apparatus according to the present embodiment, unless otherwise specified, “speaker” hereinafter refers to an array speaker for ease of explanation. However, the present invention is not necessarily limited to the array speaker.

Next, the outline of the entire flow of the acoustic design support device 1 of the present embodiment will be briefly described in advance using FIG. FIG. 2 shows an overall flow chart of the operation of the apparatus of the present embodiment. This flow is roughly divided into steps ST1 to ST3.
In ST1, conditions for setting simulation conditions are set.
In ST2, parameter data, which is data representing characteristics for displaying a simulation result, is calculated based on this condition setting. In this calculation, the following data is used.
That is, as described above, the omnidirectional SP data 107A, which is the characteristic data of the speaker obtained by Fourier transforming the measured value data of the impulse response for each direction in advance, is stored in advance for various speakers used for acoustic design. .
As described above, the equalizer data 108 (in the memory 105) obtained by Fourier transforming the equalizer filter for adjusting the frequency domain characteristics of the speaker is set or automatically calculated by the user during the simulation process for each unit. .
Further, a Fourier-transformed time delay phase correction filter 107C,
And Fourier transformed distance attenuation correction filter 107D;
Is created during the simulation process when setting the grid points as shown in FIG.
As can be seen from these, the data of 107A, 107B, 107C, and 107D are all stored as frequency domain data subjected to FFT conversion. In particular, since the phase correction filter 107C and the distance attenuation correction filter 107D are provided in the frequency domain, even if there are a plurality of speakers, it is not necessary to perform inverse FFT conversion and addition on the time axis in order to align the phases. Therefore, the acoustic parameters can be calculated at high speed.
In ST3, the simulation result of the sound support apparatus is output to the display unit 101 in FIG.
In condition setting ST1, various conditions necessary for this simulation are set. The conditions from ST11 to ST14 are set. This will be described below.
In ST11, information on the shape of the space in which the speaker is placed, for example, a meeting facility (hereinafter simply referred to as “the shape of the space”) is set. Specifically, the general shape of the space is selected, and the details of the shape are numerically input (detailed in the description of FIGS. 3 and 4 described later).
In ST12, a speaker is selected and where to place it in the space is set.
In ST13, the installation conditions for each of the installed speakers are set. For example, the angle between units of the array speaker.
In ST14, simulation conditions are set such as whether to consider the condition of interference between the units, and how fine the lattice points (see FIG. 9 described later) of the sound receiving surface are taken.

  If all the conditions shown in ST1 of FIG. 2 are set, the simulation result is displayed on the display 101 by ST2 and ST3. However, usually, the purpose of performing such a simulation is to optimize the ST1 condition shown in FIG. 2 and to optimize the setting and installation conditions of the speaker. The simulation result is displayed on the display 101. It is not the purpose. Therefore, the acoustic designer repeats the procedures such as ST1 to ST3 shown in FIG. 2 and performs optimization, but such work takes considerable time. Therefore, in ST15, the acoustic design support device 1 of the present embodiment receives information on the shape of the space set in ST1 and performs automatic optimization and support for the speaker angle and speaker settings.

ST15 of FIG. 2 relating to this automatic optimization has steps ST16 and ST17. In ST16, candidate speaker options that can be used by the speaker are shown on the display device 101, and when the speaker is selected by the operation unit 102, the display device 101 shows a state of being arranged in the space set in ST1.
In ST17, an optimum combination pattern of the angles of the installed array speakers (horizontal direction and vertical direction) and the angle between the units is automatically calculated. Here, the angle of the array speaker is a representative value of the directivity axis of the entire speaker, and is the horizontal and vertical angles of the directivity axis of an arbitrary unit as a reference. Is the opening angle between adjacent units.

  Hereinafter, ST11 to ST17, which are the respective stages of the condition setting of ST1 in FIG. 2, will be described in detail with reference to FIG. In addition, the code | symbol of the following drawings is substantially corresponded with the step number shown in FIG. 2 for easy understanding.

  First, the space shape setting ST11 in FIG. 2 will be described with reference to FIGS. FIG. 3 is a diagram illustrating an example of a GUI (graphical user interface) for setting a schematic shape of a space in which speakers are arranged. As shown in FIG. 3, the space shape setting screen 11A is displayed on the display unit 101 of FIG. 1 so that the outline of the shape of the space in which the speakers are installed can be set. As shown in FIG. 3, in the shape selection 11C, the type of the general shape of the space can be selected, and either the sector shape or the box shape can be selected. Here, for example, when the shape selection 11C is selected by selecting a “fan shape” with a mouse or the like (not shown) of the operation unit 102, the shape selection 11D is displayed on the screen display of a fan-shaped sound facility or the like. A plurality of shape examples are displayed as shown in FIG. In addition, one shape can be selected from the shape selection 11D with the mouse or the like.

  When one of the sectors shown in the shape selection 11D in FIG. 3 is selected, the space shape setting screen 11A is switched to the space shape setting screen 11B shown in FIG. A space shape 11F is shown by a diagram in the space shape display 11E column. FIG. 4 is a diagram illustrating an example of a GUI for inputting a shape parameter for setting a schematic shape of a space in which speakers are arranged. The shape selection 11D is read from the assembly facility basic shape data 110 stored in the external storage device 104 of FIG.

  In the space shape setting screen 11B shown in FIG. 4, the shape of the space in which the speaker is installed can be numerically input in the shape setting input 11G, and the width of the platform, the height and depth of the acoustic facility, etc. Parameters such as the height of each floor and slope of the slope can be set by numerical input. In such a setting, when the numerical value of the shape parameter is corrected, the shape 11F of the space shown in the diagram is changed in accordance with the change of the numerical value. And the shape where a speaker is placed can be set by such a space shape setting screen. In the shape setting input 11G, necessary data read from the assembly facility basic shape data 110 stored in the external storage device 104 of FIG. 1 are described. For example, in the case of a fan shape, the angle of the fan shape is necessary, and if there are not only the first floor but also the second floor and the third floor, it is read from the assembly facility basic shape data 110 and described whether the column for describing the shape data is necessary .

  When the enter button 11H in FIG. 4 is pressed, the screen is switched to the speaker selection & arrangement setting screen 12 shown in FIG. FIG. 5 corresponds to ST12 and ST16 of FIG. 1, and is a diagram showing an example of a GUI for performing such speaker selection and arrangement setting. On the speaker selection & arrangement setting screen 12, an application selection display 12A, a space shape display 11E, shape data 12B, and a speaker installation position 12C are displayed.

In the column of the space shape display 11E as shown in FIG. 5, the shape is indicated by the ratio of the actual space shape based on the space shape set in FIGS.
In the usage selection display 12A as shown in FIG. 5, the purpose of use such as an acoustic facility can be selected, and “music” and “speech” are checked, and either or both can be selected. To do. Here, when “music” is selected, for example, the acoustic design emphasizes the sound performance related to the sound quality such as the frequency characteristics of the sound pressure level, and when “speech” is selected, for example, the sound clarity. Since the design focuses on the acoustic performance related to the degree, the optimum design content can be obtained depending on the purpose of the acoustic design.
In the speaker installation position 12 </ b> C as shown in FIG. 5, an approximate installation position for installing the speaker can be selected. For example, as shown in the speaker installation position 12C in FIG. 5, “center” on the center side of the stage, “left” on the lower side of the stage, and “right” on the upper side of the stage can be selected.
When the acoustic designer selects and sets the setting items of the application selection display 12A and the speaker installation position 12C as shown in FIG. 5 with the above-described mouse or the like, in the apparatus of this embodiment, The optimum speaker candidate is specifically presented. This selection corresponds to ST16 in FIG. 2 and is automatically performed by the acoustic design support device 1.
The selection of the optimum speaker candidate for the speaker is performed by selecting the optimum candidate from the speaker selection table 109 in FIG. The data structure of the speaker selection table 109 in FIG. 1 is a data table as shown in FIG. FIG. 6 is a diagram illustrating the data structure of the speaker selection table 109. The speaker selection table 109 has a data structure suitable for selecting an appropriate speaker based on the space shape information set in FIGS. 3 and 4, and includes a speaker type name 109A, an area scale 109B, and an application 109C. , An installation place 109D and an aspect ratio 109E. For example, the area shown in the shape data 12B (the area of the sound receiving surface) is 450 m ² and “center” is checked at the speaker installation position 12C. As shown in the optimal speaker candidate 16, the speaker D and the speaker J are obtained.

  As described above, the apparatus according to the present embodiment can automatically show the optimum speaker candidates 16 in response to changes in various design conditions. Conventionally, selection and arrangement of speakers has to be done by referring to a catalog, which is a time-consuming work. However, according to the apparatus of this embodiment, a designer can select speakers from such candidates. It is only necessary to make a selection, and acoustic design can be performed efficiently. This is particularly effective when setting the repetition condition again.

  Next, a GUI representing a state in which the array speaker is arranged will be described with reference to FIG. When a speaker is selected from among the optimum speaker candidates 1 in FIG. 5, the selected array speaker 16A is shown on a scale of the space shape 11F in the space shape display 11E in FIG. Thereby, it is possible to visually confirm how the array speaker 16A is arranged in the space. The display of the array speaker 16A also corresponds to the stage of ST16 in FIG. 2, and this display ends the stage of ST16 in FIG. 2 and returns to ST12.

  When the display of the array speaker 16A shown in FIG. 5 is displayed, the defense range of the displayed array speaker 16A can be selected on the space shape display 11E. For example, the defensive range setting 16E of FIG. 5 displays a case where half of the sound receiving surface of the first floor portion of the space is set. In addition, any one of the entire space, the entire first floor portion, and the entire second floor portion can be selected and input from the operation unit 102 by a GUI using a mouse or the like. This selection input corresponds to ST12 in FIG. 2, and thereafter, in step ST17 in FIG. 2, the CPU 103 of the acoustic design support device 1 sets conditions for the angles of the array speakers and the angles between the units.

  Next, ST17 shown in FIG. 2 will be described with reference to FIGS. FIG. 7 is a conceptual diagram of a method for automatically calculating the condition setting of the angle of the array speaker and the angle between the units. Conventionally, to optimally design the installation angle of the array speaker unit, it is necessary to repeat a simulation as shown in FIG. 2, and there are many places where the designer has to rely on trial and error. The apparatus automatically calculates such setting conditions.

  The calculation of ST17 in FIG. 2 is divided into five stages (A) to (E) as shown in FIG. First, the purpose of this calculation is to optimize the array speaker angle and the angle 109F between the units of the speaker selection table 109 for the array speaker 16A selected from the optimal speaker candidates 16 of FIG. The optimum value is to achieve “homogenization and optimization of the sound pressure level in the sound receiving surface area”. Then, what is finally considered as an index of the optimum value is that there is no bias in the sound pressure level of the entire sound receiving surface. Specifically, as shown in FIG. The standard deviation of the sound pressure level at the lattice points set over the entire surface is minimum.

  However, the standard deviation as shown in FIG. 7D is suddenly calculated by trial and error because not only the sound receiving surface is wide but also the sound reaching the sound receiving surface is not necessarily one unit. It ’s not easy. Therefore, in the apparatus of this embodiment, first, as shown in the stages (B) and (C) of FIG. 7, the speaker axes 17E, 17F, and 17G (hereinafter simply referred to as the “axis” ”) And the sound receiving surface, the frequency characteristics of the sound pressure level at the axis points 17B, 17C, 17D (hereinafter simply referred to as“ axis points ”) are optimized. Hereinafter, steps (A) to (E) of FIG. 7 will be described in more detail.

As shown in FIG. 7A, the angle between the units is set to a predetermined angle from the angle 109F between the units in the speaker selection table 109 shown in FIG. This angle is unique to each array speaker, and when actually installed, the angle between units is set by the jig of the array speaker 16A. This inter-unit angle is defined as θint. Further, the angle of the array speaker to be installed needs to be set in the horizontal direction and the vertical direction, and the set of angles is (θ, φ). Here, the horizontal angle θ is −180 degrees <θ ≦ 180 degrees, and the vertical angle φ is −90 degrees ≦ φ ≦ 90 degrees. The installation angle of each speaker unit constituting the array speaker is determined by these angles (θint, θ, φ). Specifically, since the apparatus of this embodiment uses three array speaker units, θint is the relative angle θint ₁ between the units 16B and 16C and the relative angle θint ₂ between the units 16C and 16D. It is necessary to set.

Further, the unit angle shown in FIG. 7A is set by changing the angle of the array speaker (θ, φ) that minimizes the above-mentioned index while changing the angle, as shown in FIG. Then, an angle θint (i = 1 to 2) between the units is searched. As for the angle θint (i = 1 to 2) between the units, the pitch is determined in the speaker selection table 109. As shown in FIG. 10 to be described later, regarding the setting 17H of the angle of the array speaker to be installed, first, the pitch of this angle is changed to be large in order to shorten the calculation time.
Here, the number of patterns of the set angles (θint, θ, φ) will be described with an example. For example, the step size can be set to 30 degrees. As shown in FIG. 7A, when the speaker D is selected as the speaker type name 109A from the optimal speaker candidates 16 shown in FIG. 6, the angle of the array speaker is −180 degrees <θ ≦ 180 degrees, − It is changed every 30 degrees within the range of 90 degrees ≦ φ ≦ 90 degrees. Furthermore, the inter-unit angle of each array speaker unit can be changed every 2.5 degrees within a range of 30 degrees to 60 degrees. That is, 180 degrees as θ, 90 degrees as φ, and 60 degrees as θint are selected, and setting 17A of (θint, θ, φ) is performed as shown in FIG. In this case, θ is 12 in 30 degrees in the range of −180 degrees to 180 degrees, and φ is 7 in 30 degrees in the range of −90 degrees to 90 degrees. Further, as shown in FIG. 6, the speaker type D has 13 types ((60) because the initial settable range width is 30 degrees (30 degrees to 60 degrees) and the step width is 2.5 degrees. −30) /2.5+1=13). In addition, θint is multiplied twice for θint ₁ and θint ₂ . Therefore, the total is 12 × 7 × (13 × 13) = 1092. Normally each speaker, because it combines the symmetry can be calculated as θint ₁ = θint _2, the sum becomes ways 12 × 7 × 13 = 1092.

  Next, as shown in FIG. 7B, the position of the axis point is calculated. As described above, the axis points 17B, 17C, and 17D (hereinafter, simply referred to as “axis points”) that are the intersection points of the speaker axes 17E, 17F, and 17G, which are the direction in which the speaker is facing, and the sound receiving surface. The position is calculated from the aforementioned (θi, φi) and the space shape 11F set as shown in FIG.

  Next, as shown in FIG. 7C, the frequency characteristic of the sound pressure level at the axis point obtained in FIG. 7B is optimized. Although the specific description of FIG. 7C will be described in detail in the description of FIG. 8, the outline is briefly described here. The optimization in FIG. 7C is to improve the calculation of the index in FIG. 7D as described above. To put it in a word, this process is described as “Axis points 17B, 17C, "Equalizer characteristics for homogenizing the sound pressure level between 17D and the frequency characteristics thereof are obtained." Generally, each unit 16B, 16C, 16D of the array speaker 16A has a broad directional characteristic, so that, for example, the sound from the unit 16D also reaches the axis 17B, and the sound of the unit 16B is also the axis 17D. Therefore, when the volume of the axis 17B is low, if only the operation of raising the sound pressure level of the unit 16B is performed, the volume of the other axes 17C and 17D will increase and the balance will be lost. There is. Therefore, in the apparatus of the present embodiment, a pattern is prepared by combining various equalizers of the units 16B, 16C, and 16D. Then, according to each pattern, the array speaker 16A installed at the angle set in FIG. 7A using the SP data 107 in FIG. 1 (data obtained by converting the impulse response of all angles viewed from the speaker into FFT). The frequency characteristics of the sound transmitted from the units 16B, 16C, and 16D and received at the axis points 17B, 17C, and 17D are calculated, and the optimum pattern is selected. The outline of each stage of the flow will be described below.

First, in S171 of FIG. 7 (C), (the _{f i} discrete values (i = 1~N)) in advance reference frequency band _f i to set the. Reference frequency band _{f i,} for example, can be set according to the channel of the parametric equalizer 63Hz, 125Hz, 250Hz, 500Hz, 1kHz, 2kHz, to one of 8 kHz.
In S172 of FIG. 7C, an equalizer pattern (G1, G2, G3) _fHz for adjusting the gain of the reference frequency band is set for each of the units 16B, 16C, and 16D.
In S173 of FIG. 7C, the frequency characteristics of the sound pressure level at the above-described axial points 17B, 17C, and 17D are calculated for this pattern, and the variations of the axial points 17B, 17C, and 17D in the respective reference frequency bands are calculated. Select a pattern that grows. Specifically, the variance between the axis points 17B, 17C, and 17D is calculated for each reference frequency band, and the square root of the absolute value of this value is taken to calculate the standard deviation for each reference frequency band. The standard deviation indicates the degree of variation in gain at a specific frequency. The smaller the value, the smaller the variation. Therefore, a pattern with a smaller standard deviation is an appropriate pattern.

Then, an optimum pattern (G1, G2, G3) _fiHz is selected independently for each frequency.
By these steps, the equalizers of the units 16B, 16C, and 16D are determined in S174.

  As described above, for the determined equalizer parameters, a pattern is selected for each frequency at the stage of determining the parameters, but the determined equalizer parameters are not unit for each frequency in order to set this in the parametric equalizer. Data is stored in the external storage device 104 or the like for each of 16B, 16C, and 16D.

At the stage shown in FIG. 7C, although not shown, the sound pressure level is also optimized based on the SP data 107.
Also, the equalizer parameters calculated as shown in FIG. 7C are converted to FFT and stored as equalizer data 108 in the external storage device 104 of FIG. In this way, in the simulation parameter calculation S2 shown in FIG. 2, this simulation parameter can be calculated only by frequency domain convolution, and the calculation result can be output quickly. As described above, in acoustic design support devices, optimal design is often performed by repeatedly changing conditions and performing simulation repeatedly. For such devices, it is effective to convert the parameters of the equalizer to FFT. It is.

  In FIG. 7D, the standard deviation of the sound pressure level in the sound receiving surface area is calculated based on the equalizer parameters of the units 16B, 16C, and 16D stopped in FIG. The sound pressure level and its frequency characteristic are calculated. Therefore, steps S175 to S177 are performed. Hereinafter, each step will be described.

  In S175 of FIG. 7D, for example, lattice points 17J as shown in FIG. 9 are set in the sound receiving surface area. The lattice point 17J is used as a representative of the overall position within the sound receiving surface area. When the lattice point 17J is set, the Fourier transformed time delay phase correction filter 107C and the Fourier transformed distance attenuation correction filter 107D are calculated and stored in the external storage device 104.

In S176 of FIG. 7D, the sound pressure level at each lattice point 17J is calculated by the convolution calculation of the speaker unit of the SP data 107 and the like (107B to D) of FIG.
That is, for each speaker unit, (Fourier transformed time delay phase correction filter 107C and Fourier transformed distance attenuation correction filter 107D data,
FFT-converted equalizer data 108;
SP data 107B in the corresponding direction) All these are convolved and calculated in the frequency domain.
Here, as described above, the SP data 107B in the corresponding direction is obtained from the omnidirectional SP data 107A in which the impulse response data for each angle viewed from the speaker is converted into FFT and stored as a frequency characteristic parameter. Reference numerals 107C, 107D, and 108 are set manually or automatically in the simulation process.
Accordingly, it is possible to calculate the sound pressure level and frequency characteristics of the sound transmitted from the units 16B, 16C, and 16D and received at the positions of the lattice points 17J. For the calculation of the sound pressure level, in the apparatus of the present embodiment, a reference frequency is determined, and a value obtained by adding all the squares of gains at the reference frequency calculated for the reference frequency is used from the frequency characteristics described above. Substitute with The gain of the reference frequency is obtained by convolving the equalizer parameters of the units 16B, 16C, 16D and the corrected SP data 107 obtained in FIG. 7C in the frequency domain for each of the units 16B, 16C, 16D. This is done by superimposing the outputs of the units 16B, 16C and 16D. Then, the frequency characteristic at each position of the lattice point 17J is accumulated as a value representing the sound pressure level as described above by squaring the data for each reference frequency and adding or adding weighted data. This reference frequency band is not necessarily the same as the reference frequency band in FIG. 7C described above, but may be set to, for example, 63 Hz, 125 Hz, 250 Hz, 500 Hz, 1 kHz, 2 kHz, or 8 kHz. it can.

In S177 of FIG. 7D, the variance σ ² is obtained for the sound pressure level data at each position of the lattice point 17J obtained in S176. The square root of this variance σ ² is calculated to calculate the standard deviation σ of the entire sound receiving surface. The standard deviation indicates the degree of variation in gain at a specific frequency, and a smaller value means a more preferable value because the degree of variation of each point in the entire sound receiving surface is small.

  In FIG. 7E, the horizontal angle and vertical angle (θi, φi) of the units 16B, 16C, and 16D of the array speaker 16A (see FIG. 5) are reset, and (A) to (D) are repeated. . Thereby, an angle setting pattern that minimizes the standard deviation obtained in the procedure of FIG. 7D is selected. In this case, the search for the angle is performed by setting the angle pitch of the array speaker to be set large and then setting the angle pitch small to reduce the calculation time, as described above. The specific flow will be described later with reference to FIG.

  As described above with reference to FIG. 7, the optimum array speaker angle and the angle between the units of the array speaker 16A are calculated by setting an angle pattern as shown in FIG. As described above, the standard deviation of the sound pressure level in the sound receiving surface area (that is, an index indicating the degree of variation in sound pressure) is calculated and the minimum value is searched for. As a premise, as shown in FIG. 7C, first, an equalizer characteristic that optimizes the frequency characteristics of the axis points 17B, 17C, and 17D is obtained.

Next, the step shown in FIG. 7C will be described more specifically with reference to FIG. FIG. 8 is a flowchart showing optimization of the frequency characteristics at the axis point shown in FIG. 7C and a setting example of an equalizer used for the optimization.
In S171 of FIG. 8A, the reference frequency band fi is sequentially set to 8 bands (63 to 8 kHz) as an index of the frequency gain of the three units 16B, 16C, and 16D. The reference frequency band is the center frequency of each channel of the parametric equalizer, and is set to, for example, 63 Hz, 125 Hz, 250 Hz, 500 Hz, 1 kHz, 2 kHz, or 8 kHz as shown in FIG.
In S172 of FIG. 8A, the gain setting pattern (G1, G2, G3) _fHz described in FIG. _7C is set to 0 dB to ₋₁₀ dB in increments of 1 dB for G1, G2, and G3. Therefore, since 11 ³ patterns are set for one basic frequency (for example, 63 Hz), 8 × 11 ³ patterns are set as a whole. For each pattern, the equalizer data is collected for each unit and stored as equalizer data 108 as FFT-converted data.
In S173 of FIG. 8A, gain calculation is performed at each axis point for each pattern, and an optimum pattern is selected from these. This stage can be further divided into S1731 to S1733.
In S1731 of FIG. 8A, the gain calculation at the axial point is transmitted from the array speaker 16A as shown in FIG. 7B, and the frequency characteristics of the sound received at the axial points 17B, 17C, and 17D are obtained. calculated based on 107A~D in SP data in Figure 1, it stores the data of the frequency gain for each reference frequency band f _i.
This calculation is performed for each speaker unit (Fourier transformed time delay phase correction filter 107C and Fourier transformed distance attenuation correction filter 107D data,
FFT-converted equalizer data 108;
SP data 107B in the corresponding direction) All these are convolved and calculated in the frequency domain.
Since the number of data is three units, the total number of data to be accumulated in the apparatus of this embodiment is 3 × 8 bands = 24.
In S1732, for each reference frequency band _{f i,} the data of the frequency gain of the three points the standard deviation.
In S 1733, the steps from S 1731 to S 1732 are repeatedly calculated for all ^three patterns 113 set in S 172, and the one that minimizes the standard deviation of the standard deviation in S 1732 is obtained.
As described above, the equalizer gain (shown in FIG. 8B) that minimizes the standard deviation of the sound pressure level between the axis points 17B, 17C, and 17D for each reference frequency band by the steps S1731 to S1733 of FIG. Equivalent to a point). These are repeated for all the eight reference frequency bands described above, and the equalizer gain pattern can be determined in S174 of FIG. 8A. This pattern is rearranged for each unit and stored in the external storage device 104 as described above with reference to FIG. Then, the flow in FIG. 8A ends.

Next, a method for determining the optimum angle by setting the angle of the array speaker and the angle between the units shown in FIGS. 7A and 7E and determining the optimum angle will be specifically described with reference to FIG. . FIG. 10 is a diagram illustrating an example of a specific flow for performing such angle optimization.
In S21 of FIG. 10, the angle pattern (θ, φ) of the array speaker in which the angle set in FIG. 7A is set every 30 degrees in both the horizontal direction and the vertical direction is set. An angle θint between the units is set for the angle (see the description of FIG. 7A). At this time, in selecting the angle between the units, as described above, the array speaker 16A has a unique angle range and pitch that can be preset as shown in FIG. 6, and a pattern is prepared by selecting from the range. Here, θ is set every 30 degrees within a range of −180 degrees <θ ≦ 180 degrees and φ is −90 degrees ≦ φ ≦ 90 degrees.
In S22, the standard of the sound pressure level between the lattice points (for example, refer to 17J in FIG. 9) (substitute with the sum of squares of the gain for each reference frequency described in FIG. 7D). An angle pattern (θ, φ) that is the best 5 with a small deviation is selected. In the selection, it is necessary to set a plurality of inter-unit angles θint and select the optimum θint from among them, and the subroutine of S27 is executed for each pattern.

Here, the subroutine of S27 of FIG. 10 will be described. S27 is an angle determination flow between units. Regarding the angle pattern (θ, φ) of the array speaker selected in S22, a plurality of inter-unit angles θint are set in S271. This angle is as described with reference to FIG.
In S272, for the angles (θint, θ, φ) set in S22 and S271,
In each case, the in-area standard deviation calculation flow of S28 is executed. Here, (θ, φ) is fixed, and only θint is changed, and the step of S28 is executed.
Steps S281 to S283 of S28 correspond to the steps of FIGS. 7B to 7D, respectively. Therefore, the above description is substituted and the description is omitted here.
In S273, the unit angle θint at which the standard deviation is the minimum value is selected from the values calculated in S272. Thereafter, the subroutine of S27 is once ended, but the group of (θ, φ) is changed and the flow of S27 is repeated.
In S23, the set of (θ, φ) is changed, and the smallest best 5 among the minimum values calculated in the subroutine of S27 is selected.

In S23 of FIG. 10, a combination of 15 degrees before and after each of the five angle patterns (θ, φ) selected in S22 is set. For example, if the optimum value of one of the best 5 angle patterns selected is (30, 45 degrees) for (θ, φ), the pattern is set for 15 degrees, 30 degrees, 45 degrees for θ. new and sets, 30 ° for phi, 45 degrees, sets a new pattern for the 60-degree ^{(3 two} ways). Similarly, there are (5 × 3 ² ) patterns for the selected best 5, considering each (θ, φ) pattern, and each (θ, φ) set in this way is described above. In step S27, the angle θint between the units is set to optimize θint.
Then, in S24 of FIG. 10, a pattern search is performed on the newly set pattern in the same manner as in S22, and five candidates are selected.
In S25 of FIG. 10, the same as S23 to S24, but the angle is set as 5 degrees instead of 15 degrees. For example, if the optimum value of one of the selected 5 best angle patterns is 45 degrees for θ, the patterns are newly set for 40 degrees, 45 degrees, and 50 degrees.
In S26 of FIG. 10, (θint, θ, φ) is determined for the angle set in S25 using the subroutine of S27, similar to S22 and S24. In S26, unlike S22 and 24, one optimal value is selected instead of the best 5, and θint, θ, and φ) are finally determined.

  As described above with reference to FIG. 10, the search time can be saved by searching with a rough angle range and gradually narrowing it. In addition, such a search can prevent calculation from becoming impossible in terms of the order of calculation cost.

Next, referring to FIG. 11, a description will be given of a flow related to the operation of space shape input by the GUI described in FIG. 3 and FIG. FIG. 11 is a diagram showing an example of the flow of shape input for this space. This flow corresponds to the space shape setting S11 in the stage of FIG.
In S111 of FIG. 11, it is determined whether or not the selection of the fan shape or the box shape has been made by the shape selection 11C shown in FIG. If it is a fan shape, the determination in S111 is Y, and in S112 of FIG. 11, a plurality of fan shape examples are displayed in the shape selection 11D as shown in FIG.
If it is not fan-shaped, the determination in S111 is N, and the process proceeds to S113, and a plurality of box-shaped shape examples are displayed as in the shape selection 11D as shown in FIG.
In S114 of FIG. 11, it is determined whether or not a shape has been selected from the fan-shaped shape selection 11D of S112 or the box-shaped shape selection of S113. When there is no selection, it becomes N and waits. If there is no selection, the screen of the display 101 is switched and the process proceeds to the next S115.
In S115 of FIG. 11, it is determined whether or not a numerical value for specifying the shape of the space has been input. If all of these numbers are not entered, the result is N and waits until it is entered.
In S116 of FIG. 11, the planar area size of the space and the planar vertical / horizontal ratio of the shape are calculated from the input of numerical values for specifying the shape of the space (S115).
In S117 of FIG. 11, it is determined whether or not the enter button of FIG. 3 has been pressed. If the determination button is pressed, the flow ends. However, unless the determination button is pressed, the process returns to S115 to accept the change of the numerical value input.
As described above, according to the flow stage as shown in FIG. 11, the shape of the space can be easily set only by the acoustic design support apparatus of the present embodiment without inputting CAD data. In S111 described above, since the typical shape of the acoustic facility is naturally determined, the device of the present embodiment can specify the shape of the space without inputting CAD data.

Next, a flow for selecting the optimum speaker candidate 16 as shown in the description of FIG. 5 will be described with reference to FIG. FIG. 12 shows an example of such a flow.
In S161 and S162, it is determined whether or not the use selection display 12A and the speaker installation position 12C as shown in FIG. 5 have been selected. If not selected, the determinations in S161 and S162 are N and stand by. If both S161 and S162 are selected, the process proceeds to S163.
In S163 of FIG. 12, the speaker selection table 109 as shown in FIG. 6 is referred to from the external storage device 104 or the memory 105 of FIG. At that time, it is determined whether the condition is satisfied by comparing the data input in S161 and S162 with the application 109C and the installation location 109D as shown in FIG. Further, the area scale and aspect ratio calculated in S116 in the flow stage of FIG. 11 are compared with the data of the area scale 109B and the aspect ratio 109E as shown in FIG.
In S164, a speaker satisfying the conditions of the speaker selection table 109 is selected, and the optimum speaker candidate 16 is displayed on the display unit 101 as shown in FIG.
As described above with reference to FIG. 12, the optimal speaker candidate can be selected by comparing the data set for the shape of the space as described with reference to FIG. 11 and the speaker selection table 109.

  In this manner, the condition setting that has been conventionally optimized by trial and error can be substantially automated by the condition setting and automatic optimization / support set in FIGS. Then, based on the optimization result, the simulation parameter calculation ST2 of FIG. 2 is performed, and the optimization result can be displayed as a sound pressure distribution and the sound field can be confirmed with headphones by the result output ST3.

  1 to 12, the number of units, the fan shape or the square shape in FIG. 3, the GUI in FIGS. 4 to 6, and the like are examples of the embodiments illustrated for ease of explanation, and the present invention. It is not intended to constrain the phrase. Moreover, the flow shown in these figures is an example of an embodiment. In particular, condition setting and pattern setting are part of the flow to be repeated for ease of explanation, but once set, it is not necessary to set the number of times in the repetition routine.

The figure showing the internal structure of the acoustic design assistance apparatus of this embodiment and the data structure of assembly facility basic shape data is shown. The outline of the flowchart of the whole operation | movement of the acoustic design assistance apparatus of this embodiment is shown. The figure showing an example of GUI for setting the schematic shape of the space where a speaker is arrange | positioned is shown. The figure showing an example of GUI which inputs the shape parameter for setting the general shape of the space where a speaker is arranged is shown. The figure showing an example of GUI for performing display of selection & arrangement | positioning of a speaker is shown. The figure showing the data structure of a speaker selection table is shown. The conceptual diagram of the method of calculating automatically the angle condition setting between the units of an array speaker is shown. FIG. 7C is a flowchart showing optimization of frequency characteristics at the axis point shown in FIG. 7C and a diagram showing an example of setting an equalizer used for the optimization. An example in which the sound receiving surface area is divided by grid points is shown. An example of a specific flow for optimizing the angle shown in FIG. An example of the flow of the space shape input by the GUI described in FIG. 3 and FIG. 4 is shown. FIG. 6 shows an example of a flow for selecting an optimum speaker candidate described in FIG. 5. FIG.

Explanation of symbols

1-acoustic design support device 10-program 101-display 102-operation unit 103-CPU
104-External storage device 105-Memory 106-Audio output device 107A-SP data in all directions 107B-SP data in corresponding directions 107C-Fourier transformed time delay phase correction filter 107D-Fourier transformed distance attenuation correction filter 108- Equalizer data 109-Speaker selection table 109A-Speaker type name 109B-Area size 109C-Use 109D-Installation location 109E-Aspect ratio 109F-Unit angle 110-Assembly facility basic shape data 11A-Space shape setting screen 11B-Space shape Setting screen 11C-shape selection 11D-shape selection 11E-space shape display 11F-space shape 11G-shape setting input 11H-decision button 12-speaker selection & arrangement setting screen 12A-use selection display 12B-shape data 1 C-speaker installation position 16-optimal speaker candidate 16A-array speaker 16B-unit 16C-unit 16D-unit 16E-defense range setting 17A-θi, φi setting 17B-axis point 17C-axis point 17D-axis Point 17E—Axis 17F—Axis 17G—Axis 17H—Setting the angle of the array speaker 17J—Lattice points

Claims (6)

An acoustic design support device for calculating an optimum value of each installation angle of a plurality of speaker units constituting an array speaker,
Pattern setting means for setting a plurality of combinations of installation angles of the respective speaker units as installation angle patterns;
For each of the set installation angle patterns, an axial point position calculation process for calculating the position of an axial point that is the intersection of the axis of the speaker unit and the sound receiving surface at a predetermined installation angle of each speaker unit, and the sound at the axial point Based on the equalizer parameter calculation process for determining the equalizer parameter of each speaker unit so that the degree of variation between the axial points is minimized with respect to the frequency characteristic of the pressure level, and on the sound receiving surface based on the determined equalizer parameter and the frequency characteristic of each speaker. Sound pressure level variation degree calculation means for performing a sound pressure level variation degree calculation process for obtaining a degree of variation in sound pressure level at a plurality of preset points;
A pattern selection unit that selects an installation angle pattern with the smallest variation obtained by the sound pressure level variation degree calculation unit as an optimum pattern of the installation angles of each speaker unit;
An acoustic design support device comprising: An acoustic design support program for calculating an optimum value of each installation angle of a plurality of speaker units constituting an array speaker, wherein the computer executes the following steps.
(1) a pattern setting step for setting a plurality of patterns using a combination of installation angles of the speaker units as installation angle patterns;
About each set pattern
(2-1) Axis point position calculating step for calculating the position of the axis point that is the intersection of the axis line of the speaker unit and the sound receiving surface at a predetermined installation angle of each speaker unit for each set angle pattern set above.
(2-2) an equalizer parameter calculation processing step for determining an equalizer parameter of each speaker unit so that a variation degree between the axis points is minimized with respect to a frequency characteristic of a sound pressure level at the axis points;
(2-3) Sound pressure level variation degree for performing a sound pressure variation degree calculation process for obtaining a sound pressure level variation degree at a plurality of points set in advance on the sound receiving surface based on the determined equalizer parameter and frequency characteristics of each speaker. A calculation step;
(3) A pattern selection step of selecting the pattern having the smallest variation obtained in the sound pressure level variation degree calculation step as the optimum pattern of the installation angles of the speaker units. An acoustic design support device that repeatedly executes the pattern setting unit, the sound pressure level variation degree calculation unit, and the pattern selection unit of claim 1 in a loop shape,
The pattern setting means includes means for setting a plurality of installation angle patterns in coarse angle increments in the first loop, and one or more of the installation angle patterns set in the previous loop having a small variation in sound pressure level. Means for resetting a plurality of installation angle patterns in finer increments near the installation angle pattern;
The pattern selection means is a means for selecting one or a plurality of installation angle patterns set by the pattern setting means with a small variation in sound pressure level, and a plurality of fine angle increments in a final loop. The acoustic design support device includes means for selecting the installation angle pattern of the speaker unit as an optimum pattern of the installation angles of the speaker units. An acoustic design support program for repeatedly executing the pattern setting step, the sound pressure level variation degree calculation step, and the pattern selection step of claim 2 in a loop shape,
The pattern setting step includes a step of setting a plurality of installation angle patterns in rough angle increments in the first loop, and one or more of the installation angle patterns set in the previous loop with a small variation in sound pressure level. Re-setting a plurality of installation angle patterns in finer increments near the installation angle pattern;
The pattern selection step includes a step of selecting one or a plurality of installation angle patterns set by the pattern setting means with a small variation in sound pressure level, and a plurality of fine angle increments in a final loop. The acoustic design support program includes a step of selecting the installation angle pattern of the speaker unit as an optimum pattern of the installation angles of the speaker units. The equalizer parameter calculation process is:
For each frequency of the equalizer channel that controls the frequency characteristics of the audio signal supplied to each speaker unit, set a pattern that combines the gain setting levels of each speaker unit at the frequency of the channel,
Among the patterns, for the gain at each axis point of each of the speaker units at the frequency of the channel for the set pattern, a pattern that minimizes the degree of variation between the axis points is determined for each frequency of each channel. The acoustic design support device according to claim 1, wherein an equalizer parameter for each speaker unit is calculated by independently selecting the parameters. The equalizer parameter calculation processing step includes:
For each frequency of the equalizer channel that controls the frequency characteristics of the audio signal supplied to each speaker unit, set a pattern that combines the gain setting levels of each speaker unit at the frequency of the channel,
Among the patterns, for the gain at each axis point of each of the speaker units at the frequency of the channel for the set pattern, a pattern that minimizes the degree of variation between the axis points is determined for each frequency of each channel. 5. The acoustic design support program according to claim 2, wherein an equalizer parameter for each speaker unit is calculated by independently selecting the parameters.

Images