Sound environment analysis system, sound environment analysis method, and program

Abstract

To provide a sound environment analysis system for performing analysis for improving a sound environment in a space.SOLUTION: The sound environment analysis system 1 includes a sound data acquisition unit 11, an environmental sound data acquisition unit 12, and an analysis unit 14. The sound data acquisition unit 11 acquires sound data. The sound data indicates a sound generated in the space. The environmental sound data acquisition unit 12 acquires environmental sound data. The environmental sound data indicates a plurality of environmental sounds corresponding to a plurality of persons using the space. The analysis unit 14 analyzes the generation states of the plurality of environmental sounds based on the sound data and the environmental sound data.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present disclosure relates to a sound environment analysis system, a sound environment analysis method, and a program, and more particularly to a sound environment analysis system, a sound environment analysis method, and a program for analyzing sounds generated in a space. [Background technology]

[0002] It has been proposed to provide a comfortable environment for multiple people in a space such as an office. For example, in the environmental control system of Patent Document 1, an environment suitable for the work of multiple members is provided as a space package for each of the multiple members. In the environmental control system of Patent Document 1, air quality, brightness, sound, etc. are controlled as a space package. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] International Publication No. 2022 / 181152 Summary of the Invention [Problem to be solved by the invention]

[0004] However, the technology of Patent Document 1 does not take into consideration the reduction in work efficiency caused by conversations occurring in the space, sounds generated by work, and the like.

[0005] The present disclosure aims to provide a sound environment analysis system, a sound environment analysis method, and a program that perform analysis to improve the sound environment in a space. [Means for solving the problem]

[0006] A sound environment analysis system according to one aspect of the present disclosure includes a sound data acquisition unit, an environmental sound data acquisition unit, and an analysis unit. The sound data acquisition unit acquires sound data. The sound data indicates sounds generated in a space. The environmental sound data acquisition unit acquires environmental sound data. The environmental sound data indicates a plurality of environmental sounds corresponding to a plurality of people using the space. The analysis unit analyzes the generation state of the plurality of environmental sounds based on the sound data and the environmental sound data.

[0007] A sound environment analysis method according to one aspect of the present disclosure is executed by one or more processors. The sound environment analysis method acquires sound data, acquires environmental sound data, and analyzes the generation state of a plurality of environmental sounds based on the sound data and the environmental sound data. The sound data indicates sounds generated in a space. The environmental sound data indicates the plurality of environmental sounds corresponding to a plurality of people using the space.

[0008] A program according to one aspect of the present disclosure causes one or more processors to execute the sound environment analysis method. [Effects of the Invention]

[0009] According to a sound environment analysis system, a sound environment analysis method, and a program according to an aspect of the present disclosure, it is possible to perform an analysis to improve the sound environment in a space. [Brief explanation of the drawings]

[0010] [Figure 1] FIG. 1 is a block diagram of a sound environment analysis system according to the first embodiment. [Figure 2] FIG. 2 is a flowchart showing the operation of the sound environment analysis system. [Figure 3] FIG. 3 is a block diagram of a sound environment analysis system according to the second embodiment. [Figure 4] FIG. 4 is a flowchart showing the operation of the simulation system in the sound environment analysis system. [Figure 5] FIG. 5 is a conceptual diagram showing an overview of the conversation simulation. [Figure 6] FIG. 6 is a conceptual diagram of the simulation system. [Figure 7] FIG. 7 shows an example of noise distribution. [Figure 8] FIG. 8 is a block diagram of a sound environment analysis system according to the third embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0011] Hereinafter, a sound environment analysis system, a sound environment analysis method, and a program according to embodiments will be described in detail with reference to the drawings. However, the figures described in the following embodiments are schematic diagrams, and the ratios of the sizes and thicknesses of the components do not necessarily reflect the actual dimensional ratios. Note that the configurations described in the following embodiments are merely examples of the present disclosure. The present disclosure is not limited to the following embodiments, and various modifications are possible depending on the design, etc., as long as the effects of the present disclosure can be achieved.

[0012] (Embodiment 1) (1) Overview The sound environment analysis system 1 (see FIG. 1) is a system that analyzes the state of environmental sound generation based on sounds generated in a space SP1 (see FIG. 5) and environmental sounds.

[0013] The space SP1 is a space partitioned as one section in, for example, an office, a store, an office, a factory, a warehouse, a building, a school, a welfare facility, a hospital, or the like.

[0014] (2) Composition As shown in FIG. 1, the sound environment analysis system 1 includes a sound data acquisition unit 11, an environmental sound data acquisition unit 12, an environmental sound storage unit 13, and an analysis unit .

[0015] The sound data acquisition unit 11 acquires sound data indicating sounds generated in the space SP1. The sound data is recorded data of sounds generated in the space SP1 to be analyzed. The sound data acquisition unit 11 includes, for example, a microphone and records the sounds generated in the space SP1. The sound data acquisition unit 11 also acquires the recorded data from recording equipment such as an IC recorder.

[0016] The environmental sound data acquisition unit 12 acquires environmental sound data. The environmental sound data is data indicating a plurality of environmental sounds corresponding to a plurality of people P1 (see FIG. 5) who use the space SP1. Here, the environmental sounds are sounds that are bothersome to the corresponding people P1 among the plurality of people P1. For example, if the space SP1 is an office, the environmental sounds include voices, internal call sounds, footsteps, keyboard touch sounds, printer operation sounds, etc.

[0017] Each of the plurality of environmental sounds is selected from a plurality of environmental sound candidates stored in the environmental sound storage unit 13, which will be described later. As a result, the analysis unit 14, which will be described later, need not analyze all of the plurality of environmental sound candidates, but only a plurality of sounds extracted as environmental sounds. For example, if the number of plurality of environmental sound candidates is approximately 500, the number of plurality of environmental sounds can be reduced to approximately 200. This makes it possible to reduce the computational load of the analysis by the analysis unit 14.

[0018] The environmental sound data also includes attributes of people corresponding to the environmental sounds. That is, the environmental sound data includes attributes of each of multiple people P1. Person attributes include, for example, gender, age, and status. Here, status is information indicating the relationship of a person to other people in the space SP1. For example, if the space SP1 is an office, the status is the person's job title. Also, for example, if the space SP1 is a store, the status is information on whether the person is a store clerk or a customer, and the job title if the person is a store clerk. This makes it possible to analyze the relationship between environmental sounds and person attributes. For example, environmental sounds that are not very noticeable to older people but are noticeable to younger people should be addressed as a priority in an office with many young people, while they can be postponed in an office with mostly older people. In other words, it becomes easy to determine which sounds should be prioritized in improving the sound environment of the space SP1 after the analysis.

[0019] The environmental sound data acquiring unit 12 acquires, as the environmental sound data, for example, a list indicating attributes of a plurality of persons P1 who use the space SP1 and information indicating a plurality of environmental sounds corresponding to each of the plurality of persons P1. The list is generated, for example, by conducting a questionnaire survey of the plurality of persons P1 who use the space SP1.

[0020] The environmental sound storage unit 13 is a storage unit that stores a plurality of acoustic sound candidates. Each of the plurality of environmental sound candidates is a typical sound that can occur in the space SP1 and is a sound that can become an environmental sound. Specifically, each of the plurality of environmental sound candidates is, for example, a voice, a keyboard touch sound, a printer operation sound, a walking sound of leather shoes, a sound of turning pages, etc.

[0021] The analysis unit 14 analyzes the generation state of multiple environmental sounds based on the sound data and the environmental sound data. More specifically, the analysis unit 14 analyzes the environmental sound data and estimates the relationship between the attributes of multiple people P1 and the environmental sounds. The analysis unit 14 also analyzes the intensity of each of the multiple environmental sounds in the sound data.

[0022] The sound environment analysis system 1 includes a computer system. The computer system is primarily composed of a processor and memory as hardware. The functions of the sound environment analysis system 1 of the present disclosure are realized by the processor executing a program stored in the memory of the computer system. The program may be pre-stored in the memory of the computer system, provided via a telecommunications line, or provided in a non-transitory recording medium readable by the computer system, such as a memory card, optical disk, or hard disk drive. The processor of the computer system is composed of one or more electronic circuits including a semiconductor integrated circuit (IC) or a large-scale integrated circuit (LSI). The integrated circuits, such as ICs and LSIs, are referred to by different names depending on the degree of integration, and include integrated circuits called system LSIs, very large-scale integrations (VLSIs), or ultra-large-scale integrations (ULSIs). Furthermore, field-programmable gate arrays (FPGAs), which are programmed after the LSI is manufactured, or logic devices that allow the reconfiguration of internal connections or internal circuit partitions of the LSI, can also be used as processors. The electronic circuits may be integrated into one chip or distributed across multiple chips. The chips may be integrated into one device or distributed across multiple devices. The computer system referred to here includes a microcontroller having one or more processors and one or more memories. Therefore, the microcontroller is also composed of one or more electronic circuits including a semiconductor integrated circuit or a large-scale integrated circuit.

[0023] Furthermore, it is not essential for the sound environment analysis system 1 that multiple functions are concentrated in one housing, and the components of the sound environment analysis system 1 may be distributed across multiple housings. Furthermore, at least some of the functions of the sound environment analysis system 1, for example, some of the functions of the analysis unit 14, may be realized by the cloud (cloud computing) or the like.

[0024] Conversely, at least some of the functions of the sound environment analysis system 1, which are distributed among multiple components in the embodiment, may be integrated into one housing.

[0025] (3) Operation FIG. 2 is a flowchart showing the operation of the sound environment analysis system 1 according to the first embodiment.

[0026] The sound data acquisition unit 11 of the sound environment analysis system 1 acquires sound data (step S11). The sound data is data obtained by recording actual sounds occurring in the space SP1 to be analyzed. The sound data acquisition unit 11 generates the sound data using, for example, a microphone. Also, the sound data acquisition unit 11 reads out the sound data from, for example, recording equipment.

[0027] Next, the environmental sound data acquisition unit 12 of the sound environment analysis system 1 acquires environmental sound candidates (step S12). The environmental sound data acquisition unit 12 reads out a plurality of environmental sound candidates from the environmental sound storage unit 13.

[0028] Next, the environmental sound data acquiring unit 12 acquires questionnaire data (step S13). The environmental sound data acquiring unit 12 acquires the questionnaire data, which is the result of a questionnaire given to a plurality of people P1 who use the space SP1 to be analyzed.

[0029] The questionnaire is conducted, for example, by receiving input of person attributes from each of the multiple persons P1. In addition, in the questionnaire, for example, multiple environmental sound candidates are played and listened to for each of the multiple persons P1, and the person P1 is asked to select an environmental sound. The environmental sound data acquisition unit 12 generates environmental sound data based on the questionnaire data.

[0030] Next, the analysis unit 14 of the sound environment analysis system 1 performs environmental sound analysis (step S14).

[0031] The analysis unit 14 first estimates the association between the attributes of a plurality of persons P1 and the environmental sounds based on the environmental sound data. The association is, for example, a list of environmental sounds categorized by gender and age of the person. The association is also, for example, a list of association between the status of the person and the environmental sounds.

[0032] The analysis unit 14 also analyzes the sound data based on the estimated correspondence. Based on the estimated correspondence, the analysis unit 14 identifies multiple environmental sounds corresponding to multiple people P1 from multiple environmental sound candidates. Next, the analysis unit 14 compares each of the identified multiple environmental sounds with the sound data and calculates the intensity of each of the multiple environmental sounds included in the sound data. For example, the analysis unit 14 performs a Fourier transform on the sound data and each of the multiple environmental sounds, and calculates the intensity of each of the multiple environmental sounds included in the sound data by pattern matching. This allows the analysis unit 14 to analyze the sound data based on the multiple environmental sounds stored in the environmental sound storage unit 13, thereby improving the accuracy of the analysis. Furthermore, the analysis unit 14 does not need to analyze the sound data for all of the multiple environmental sound candidates stored in the environmental sound storage unit 13, thereby reducing the amount of calculation required for analysis. Note that the method for calculating the intensity of each of the multiple environmental sounds included in the sound data does not rely on pattern matching, and may instead use, for example, a trained model generated based on the multiple environmental sound candidates.

[0033] The above operations generate the generation states of multiple environmental sounds. Therefore, it becomes easy to improve the sound environment of space SP1 by reducing the volume of multiple environmental sounds. This is because by identifying multiple environmental sounds corresponding to multiple people P1, it becomes possible to prioritize and deal with sounds that are bothersome to many people. Furthermore, since the environmental sounds have been identified, it becomes easy to identify the source of the environmental sounds, making it easy to improve the sound environment of space SP1.

[0034] (4) Effects The sound environment analysis system 1 according to the first embodiment includes a sound data acquisition unit 11, an environmental sound data acquisition unit 12, and an analysis unit 14. The sound data acquisition unit 11 acquires sound data. The sound data indicates sounds generated in the space SP1. The environmental sound data acquisition unit 12 acquires environmental sound data indicating a plurality of environmental sounds. The plurality of environmental sounds corresponds to a plurality of people P1 who use the space SP1. The analysis unit 14 analyzes the generation state of the plurality of environmental sounds based on the sound data and the environmental sound data. As a result, the sound environment analysis system 1 according to the first embodiment can perform analysis to improve the sound environment in the space SP1.

[0035] Furthermore, in the sound environment analysis system 1 according to the first embodiment, the environmental sound data includes data indicating the attributes of each of the multiple persons P1 and the environmental sounds that are bothersome to each of the multiple persons P1. As a result, the sound environment analysis system 1 according to the first embodiment makes it possible to prioritize and deal with sounds that are bothersome to the multiple persons P1 based on the relationship between the attributes of each of the multiple persons P1 and the multiple environmental sounds, thereby facilitating the improvement of the sound environment of the space SP1.

[0036] The sound environment analysis system 1 according to the first embodiment also includes an environmental sound storage unit 13. The environmental sound storage unit 13 stores a plurality of environmental sound candidates. Each of the plurality of environmental sounds is selected from the plurality of environmental sound candidates stored in the environmental sound storage unit 13. As a result, the sound environment analysis system 1 according to the first embodiment can easily and accurately identify a plurality of environmental sounds. Furthermore, the analysis unit 14 can analyze the generation state of a plurality of environmental sounds based on the plurality of acoustic sounds selected from the plurality of acoustic sound candidates. Therefore, the analysis unit 14 can reduce the amount of calculation and analyze the generation state of a plurality of environmental sounds with high accuracy.

[0037] Moreover, the sound environment analysis method according to the first embodiment is executed by one or more processors. The sound environment analysis method acquires sound data, acquires environmental sound data, and analyzes the generation state of multiple environmental sounds based on the sound data and the environmental sound data. The sound data indicates sounds generated in space SP1. The environmental sound data indicates multiple environmental sounds corresponding to multiple people P1 who use the space SP1. Moreover, the program according to the first embodiment causes one or more processors to execute the sound environment analysis method according to the first embodiment. As a result, the sound environment analysis method and program according to the first embodiment make it possible to perform analysis to improve the sound environment in space SP1.

[0038] (Embodiment 2) (1) Composition As shown in FIG. 3, the sound environment analysis system 1a according to the second embodiment includes a sound data acquisition unit 11, an environmental sound data acquisition unit 12, an environmental sound storage unit 13, an analysis unit 14, and a simulation system 2.

[0039] The simulation system 2 includes a space data acquisition unit 21, a person information acquisition unit 22, a calculation unit 23, and a display unit 24. That is, the sound environment analysis system 1a according to the second embodiment includes the space data acquisition unit 21, the person information acquisition unit 22, the calculation unit 23, and the display unit 24.

[0040] The space data acquisition unit 21 acquires layout information of the space SP1. The layout information is information indicating the shape of the space SP1 to be analyzed, the positions of seats, positions where people can pass through, etc., and may be, for example, a floor plan.

[0041] The person information acquisition unit 22 acquires person information about multiple people P1 who use the space SP1. The person information is information that indicates how the person behaves within the space SP1. More specifically, the person information is information that indicates or predicts the time each person P1 spends in the space SP1, the frequency and route of their movements, the frequency and people they converse with, and the like, for each of the multiple people P1. The person information includes, for example, the personal schedule, seat position, frequency of movements, and frequency of conversation for each of the multiple people P1. The person information acquisition unit 22 acquires the person information, for example, by conducting a questionnaire survey of each of the multiple people P1.

[0042] The calculation unit 23 performs a conversation simulation between multiple persons P1 based on the layout information and person information, and outputs a noise distribution. More specifically, the calculation unit 23 estimates the position of each of the multiple persons P1 based on the layout information and person information. Next, the calculation unit 23 performs a movement estimation to determine how each of the multiple persons P1 will move based on the person information. Next, the calculation unit 23 performs a conversation occurrence estimation to determine whether or not a conversation will occur between the multiple persons P1 based on the person information. The calculation unit 23 then estimates a noise distribution in the space SP1 based on the state of conversation occurrence. The calculation unit 23 outputs multiple noise distributions in a time series by repeatedly performing movement estimation, conversation occurrence estimation, and outputting the noise distribution in this order.

[0043] The display unit 24 displays the noise distribution. The display unit 24 is, for example, an image display device such as an organic EL display or a liquid crystal panel. The display unit 24 displays the noise distribution by superimposing it on the layout information of the space SP1. Specifically, the display unit 24 displays a plurality of noise distributions. Note that the display unit 24 may also display a plurality of noise distributions in chronological order.

[0044] The simulation system 2 includes a computer system. The functions of the simulation system 2 in the present disclosure are realized by a processor executing a program stored in a memory of the computer system.

[0045] (2) Operation The sound environment analysis system 1a according to the second embodiment performs the same operations as the sound environment analysis system 1 according to the first embodiment. In the sound environment analysis system 1a according to the second embodiment, the operation of a simulation system 2 is also performed.

[0046] Among the operations of the sound environment analysis system 1a according to the embodiment 2, the description of the same operations as those of the sound environment analysis system 1 according to the embodiment 1 will be omitted, and the following description will be given of the operations of the simulation system 2. FIG. 4 is a flowchart showing the operations of the simulation system 2.

[0047] The space data acquisition unit 21 of the simulation system 2 acquires layout information of the space SP1 (step S21). The layout information of the space SP1 is, for example, a floor plan.

[0048] Next, the person information acquisition unit 22 of the simulation system 2 acquires person information of the multiple people P1 (step S22). The person information acquisition unit 22 acquires the person information based on, for example, the results of a questionnaire conducted in advance. The questionnaire is conducted, for example, on the multiple people P1 who use the space SP1 to be analyzed, and person information or information indicating the person information is collected.

[0049] Next, the calculation unit 23 of the simulation system 2 performs a conversation generation simulation (step S23).

[0050] 5, for example, the positions of a plurality of persons P1 are estimated based on the person information and mapped to the layout information 100. The calculation unit 23 maps a person who has newly arrived at work based on the schedule information and the position of each of the plurality of persons P1.

[0051] Next, the calculation unit 23 estimates whether a new conversation will occur and whether an ongoing conversation will end, based on the job title and conversation frequency of each of the plurality of persons P1.

[0052] The calculation unit 23 estimates the position and conversation state of the person P1, for example, by machine learning. The calculation unit 23, for example, inputs person information to a trained model and outputs the position, state, and conversation state of each of the multiple people P1. The trained model is, for example, a neural network, and as shown in FIG. 6, has an input layer 210, one or more (one in FIG. 6) intermediate layers 220, and an output layer 230.

[0053] Next, the calculation unit 23 acquires a noise distribution (step S24). For example, the calculation unit 23 calculates the magnitude of noise at each position caused by the conversation of the multiple people P1 based on the positions of the multiple people P1 estimated in step S23 and whether or not they are talking, and maps the calculated magnitude to the layout information 100. FIG. 7 shows an example of a noise distribution 110, in which a noise region 111 is superimposed on the layout information 100. The noise region 111 includes a first region 111a and a second region 111b depending on the magnitude of the noise. More specifically, the second region 111b has a louder noise magnitude than the first region 111a.

[0054] The calculation unit 23 determines whether the prediction period has ended (step S25). The prediction period is a period for which the calculation unit 23 estimates the noise distribution. If the calculation unit 23 intends to further predict the noise distribution (No in step S25), the calculation unit 23 updates the person position (step S26). The calculation unit 23 estimates the movement route R1 of the person P1 who has already arrived at work, for example, based on the schedule information, job position, and movement frequency of each of the multiple people P1, and moves the position of the person P1 on the movement route R1. After step S26, the calculation unit 23 executes steps S23 to S25 again. On the other hand, if the calculation unit 23 does not need to predict the noise distribution, it terminates the operation (Yes in step S25).

[0055] The display unit 24 of the simulation system 2 outputs the result (step S27). The display unit 24 displays the noise distribution created by the calculation unit 23 in step S24. Here, if the calculation unit 23 has created multiple noise distributions, the display unit 24 displays the multiple noise distributions in time series. For example, the display unit 24 displays the multiple noise distributions in chronological order as an animation.

[0056] The above operations display an image showing the noise distribution caused by conversation. This makes it possible to accurately predict how noise will occur in the space SP1 and how it will change over time. This makes it easy to take measures against noise and to change the layout to address noise.

[0057] (3) Effects The sound environment analysis system 1a according to the second embodiment includes a space data acquisition unit 21, a person information acquisition unit 22, a calculation unit 23, and a display unit 24. The space data acquisition unit 21 acquires layout information of a space SP1. The person information acquisition unit 22 acquires person information relating to a plurality of people P1. The calculation unit 23 performs a conversation simulation between the plurality of people P1 based on the layout information and the person information, and outputs a noise distribution. The display unit 24 displays the noise distribution. As a result, the sound environment analysis system 1a can accurately predict the occurrence of conversation between the plurality of people P1, thereby predicting the noise distribution in the space SP1.

[0058] Furthermore, in the sound environment analysis system 1a according to the second embodiment, the person information includes the seat positions of the multiple people P1 in the layout information and the frequency of conversations between the multiple people P1. This allows the sound environment analysis system 1a to accurately predict the positions of the multiple people P1 and whether or not conversations are occurring, thereby further improving the prediction accuracy of the noise distribution in the space SP1.

[0059] In the sound environment analysis system 1a according to the second embodiment, the person information is acquired by a questionnaire for each of the multiple people P1. This makes it possible for the sound environment analysis system 1a to easily and accurately acquire the person information for the multiple people P1.

[0060] Furthermore, in the sound environment analysis system 1a according to the second embodiment, the calculation unit 23 outputs multiple noise distributions for multiple times. The display unit 24 displays the time-series changes in the multiple noise distributions. This makes it possible for the sound environment analysis system 1a to accurately predict how noise will occur in the space SP1 and how it will change over time. This makes it easy to take measures against noise and to take measures against noise by changing the layout.

[0061] Furthermore, the sound environment analysis method according to the second embodiment acquires layout information of a space SP1, acquires person information about a plurality of persons P1, performs a conversation simulation between the plurality of persons P1 based on the layout information and the person information, and outputs a noise distribution. Furthermore, the program according to the second embodiment causes one or more processors to execute the sound environment analysis method according to the second embodiment. As a result, the sound environment analysis method and program can accurately predict the occurrence of conversations between the plurality of persons P1, thereby predicting the noise distribution in the space SP1.

[0062] (Embodiment 3) The sound environment analysis system according to the third embodiment includes a simulation system 2, as shown in FIG.

[0063] The simulation system 2 includes a space data acquisition unit 21, a person information acquisition unit 22, a calculation unit 23, and a display unit 24.

[0064] The space data acquisition unit 21 acquires layout information of the space SP1. The layout information is information indicating the shape of the space SP1 to be analyzed, the positions of seats, positions where people can pass through, etc., and may be, for example, a floor plan.

[0065] The person information acquisition unit 22 acquires person information about the multiple people P1 who use the space SP1. The person information includes, for example, the job title, personal schedule, seat position, movement frequency, and conversation frequency of each of the multiple people P1. In other words, the person information is information that indicates how the person behaves within the space SP1. The person information acquisition unit 22 acquires the person information by, for example, conducting a questionnaire for each of the multiple people P1.

[0066] The calculation unit 23 performs a conversation simulation between multiple persons P1 based on the layout information and person information, and outputs a noise distribution. More specifically, the calculation unit 23 estimates the position of each of the multiple persons P1 based on the layout information and person information. Next, the calculation unit 23 performs a movement estimation to determine how each of the multiple persons P1 will move based on the person information. Next, the calculation unit 23 performs a conversation occurrence estimation to determine whether or not a conversation will occur between the multiple persons P1 based on the person information. The calculation unit 23 then estimates a noise distribution in the space SP1 based on the state of conversation occurrence. The calculation unit 23 outputs multiple noise distributions in a time series by repeatedly performing movement estimation, conversation occurrence estimation, and outputting the noise distribution in this order.

[0067] The display unit 24 displays the noise distribution. The display unit 24 is, for example, an image display device such as an organic EL display or a liquid crystal panel. The display unit 24 displays the noise distribution superimposed on the layout information of the space SP1. Specifically, the display unit 24 displays the time-series changes of multiple noise distributions.

[0068] The sound environment analysis system according to the third embodiment performs the operations shown in the flowchart of FIG. 4, similarly to the sound environment analysis system according to the second embodiment.

[0069] (Other Modifications of the Embodiment) (1) In the second embodiment, the display unit 24 displays the noise distribution created by the calculation unit 23, but the display unit 24 may also display the generation states of a plurality of environmental sounds analyzed by the analysis unit 14.

[0070] (2) In the second embodiment, the environmental sound data acquisition unit 12 and the person information acquisition unit 22 conduct questionnaires individually for multiple persons P1. However, for example, the sound environment analysis system 1a may conduct questionnaires for multiple persons P1 at once, and the environmental sound data acquisition unit 12 and the person information acquisition unit 22 may each generate environmental sound data and person information based on the questionnaire results.

[0071] (Aspect) A sound environment analysis system (1; 1a) according to a first aspect includes a sound data acquisition unit (11), an environmental sound data acquisition unit (12), and an analysis unit (14). The sound data acquisition unit (11) acquires sound data indicating sounds generated in a space (SP1). The environmental sound data acquisition unit (12) acquires environmental sound data indicating a plurality of environmental sounds. The plurality of environmental sounds corresponds to a plurality of people (P1) using the space (SP1). The analysis unit (14) analyzes the generation state of the plurality of environmental sounds based on the sound data and the environmental sound data.

[0072] According to the sound environment analysis system (1; 1a) of the above aspect, it is possible to perform an analysis to improve the sound environment in the space (SP1).

[0073] In the sound environment analysis system (1;1a) according to the second aspect, in the first aspect, the environmental sound data includes data indicating the attributes of each of a plurality of persons (P1) and the environmental sounds that are bothersome to each of the plurality of persons (P1).

[0074] According to the sound environment analysis system (1;1a) of the above aspect, it is possible to deal with sounds that are bothersome to multiple people (P1) on a priority basis based on the relationship between the attributes of each of the multiple people (P1) and multiple environmental sounds, making it easier to improve the sound environment of the space (SP1).

[0075] The sound environment analysis system (1; 1a) according to the third aspect is the sound environment analysis system according to the first or second aspect, further comprising an environmental sound storage unit (13). The environmental sound storage unit (13) stores a plurality of environmental sound candidates. Each of the plurality of environmental sounds is selected from the plurality of environmental sound candidates stored in the environmental sound storage unit (13).

[0076] The sound environment analysis system (1; 1a) according to the above aspect can easily and accurately identify a plurality of environmental sounds. Furthermore, the analysis unit (14) can analyze the occurrence state of a plurality of environmental sounds based on a plurality of acoustic sounds selected from a plurality of candidate acoustic sounds. Therefore, the analysis unit (14) can reduce the amount of calculation and analyze the occurrence state of a plurality of environmental sounds with high accuracy.

[0077] A sound environment analysis system (1a) according to a fourth aspect is the sound environment analysis system (1a) of any of the first to third aspects, further comprising a space data acquisition unit (21), a person information acquisition unit (22), a calculation unit (23), and a display unit (24). The space data acquisition unit (21) acquires layout information of a space (SP1). The person information acquisition unit (22) acquires person information related to a plurality of people (P1). The calculation unit (23) performs a conversation simulation between the plurality of people (P1) based on the layout information and the person information, and outputs a noise distribution. The display unit (24) displays the noise distribution.

[0078] According to the sound environment analysis system (1a) of the above aspect, it is possible to predict the noise distribution in the space (SP1) by accurately predicting the occurrence of conversations between a plurality of people (P1).

[0079] In the sound environment analysis system (1a) according to the fifth aspect, in the fourth aspect, the person information includes the seat positions of each of the plurality of people (P1) in the layout information.

[0080] According to the sound environment analysis system (1a) of the above aspect, the positions of the plurality of people (P1) can be predicted with high accuracy, and therefore the prediction accuracy of the noise distribution in the space (SP1) can be further improved.

[0081] In the sound environment analysis system (1a) according to the sixth aspect, in the fourth or fifth aspect, the person information includes a conversation frequency between a plurality of people (P1) in the layout information.

[0082] According to the sound environment analysis system (1a) of the above aspect, it is possible to accurately predict whether or not a conversation will occur between a plurality of people (P1), thereby further improving the prediction accuracy of noise distribution in the space (SP1).

[0083] In the sound environment analysis system (1a) according to a seventh aspect, in any one of the fourth to sixth aspects, the person information is acquired by a questionnaire for each of the plurality of people (P1).

[0084] According to the sound environment analysis system (1a) of the above aspect, it is possible to easily and accurately acquire person information of a plurality of people (P1).

[0085] In a sound environment analysis system (1a) according to an eighth aspect, in any one of the fourth to seventh aspects, the calculation unit (23) outputs a plurality of noise distributions for a plurality of times, and the display unit (24) displays time-series changes in the plurality of noise distributions.

[0086] The sound environment analysis system (1a) according to the above aspect makes it possible to accurately predict how noise will occur in the space (SP1) and how it will change over time, thereby facilitating noise countermeasures and noise countermeasures through layout changes.

[0087] A sound environment analysis method according to a ninth aspect is executed by one or more processors. The sound environment analysis method acquires sound data, acquires environmental sound data, and analyzes the generation state of multiple environmental sounds based on the sound data and the environmental sound data. The sound data indicates sounds generated in a space (SP1). The environmental sound data indicates multiple environmental sounds corresponding to multiple people (P1) using the space (SP1).

[0088] According to the sound environment analysis method according to the above aspect, it is possible to perform an analysis to improve the sound environment in the space (SP1).

[0089] In the sound environment analysis method according to the tenth aspect, in the ninth aspect, layout information of a space (SP1) is acquired, person information regarding a plurality of people (P1) is acquired, a conversation simulation between the plurality of people (P1) is performed based on the layout information and the person information, and a noise distribution is output.

[0090] According to the sound environment analysis method of the above aspect, it is possible to predict the noise distribution in the space (SP1) by accurately predicting the occurrence of conversations between a plurality of people (P1).

[0091] A program according to an eleventh aspect causes one or more processors to execute the sound environment analysis method according to the ninth or tenth aspect.

[0092] According to the program according to the above aspect, it is possible to perform an analysis to improve the sound environment in the space (SP1). [Explanation of symbols]

[0093] 1, 1a Sound environment analysis system 11 Sound data acquisition unit 12 Environmental sound data acquisition section 13 Environmental sound storage section 14 Analysis Department 21 Spatial Data Acquisition Unit 22 Personal Information Acquisition Department 23 Arithmetic section 24 Display section SP1 Space P1 Character

Claims

1. a sound data acquisition unit that acquires sound data indicating sounds generated in a space; an environmental sound data acquisition unit that acquires environmental sound data indicating a plurality of environmental sounds corresponding to a plurality of people using the space; an analysis unit that analyzes the generation state of the plurality of environmental sounds based on the sound data and the environmental sound data; A sound environment analysis system comprising:

2. the environmental sound data includes data indicating attributes of each of the plurality of people and environmental sounds that are annoying to each of the plurality of people; The sound environment analysis system according to claim 1 .

3. further comprising an environmental sound storage unit that stores a plurality of environmental sound candidates; Each of the plurality of environmental sounds is selected from a plurality of environmental sound candidates stored in the environmental sound storage unit. The sound environment analysis system according to claim 1 or 2.

4. a space data acquisition unit that acquires layout information of the space; a person information acquisition unit that acquires person information about the plurality of people; a calculation unit that performs a conversation simulation between the plurality of people based on the layout information and the person information and outputs a noise distribution; a display unit that displays the noise distribution; Further comprising: The sound environment analysis system according to claim 1 .

5. The person information includes the seat positions of each of the plurality of people in the layout information. The sound environment analysis system according to claim 4 .

6. the person information includes a conversation frequency between the plurality of people in the layout information; The sound environment analysis system according to claim 4 or 5.

7. The personal information is obtained by conducting a questionnaire survey of each of the plurality of people. The sound environment analysis system according to claim 4 or 5.

8. the calculation unit outputs a plurality of the noise distributions for a plurality of times, the display unit displays time-series changes in the plurality of noise distributions. The sound environment analysis system according to claim 4 or 5.

9. 1. A sound environment analysis method executed by one or more processors, comprising: Acquire sound data that indicates the sounds occurring in the space, acquiring environmental sound data indicating a plurality of environmental sounds corresponding to a plurality of people using the space; analyzing the generation states of the plurality of environmental sounds based on the sound data and the environmental sound data; Sound environment analysis method.

10. acquiring layout information of the space; acquiring personal information about the plurality of persons; performing a conversation simulation between the plurality of people based on the layout information and the person information, and outputting a noise distribution; The sound environment analysis method according to claim 9.

11. A program for causing one or more processors to execute the sound environment analysis method of claim 9 or 10.

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