Ktv system rear surround setting method and device, terminal and medium

Abstract

The application discloses a KTV system rear surround setting method and device, a terminal and a medium. The method comprises the following steps: acquiring rear surround device static parameters, box environment data, box acoustic data and customer preference data; determining a target position of the rear surround device in the box based on the rear surround device static parameters, the box environment data and the box acoustic data; determining a target adjustment parameter combination corresponding to the rear surround device based on the rear surround device static parameters, the box acoustic data and the customer preference data; processing the rear surround device based on the target adjustment parameter combination, and placing the rear surround device at the target position. The application aims to achieve the optimal acoustic effect of the rear surround device of the KTV system in the box, and ensure that the acoustic effect of the rear surround device meets the preferences of customers in the box.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing, and in particular to a KTV system rear surround setting method and device, a terminal and a medium. BACKGROUND

[0002] The KTV rear surround device is a core component of a multi-channel sound system, and its development is deeply bound with the evolution of surround sound technology and KTV scene requirements. By controlling the "delay difference (5-30 ms)" "volume ratio (main box: rear surround ≈ 1:0.8)" "frequency division point (200-800 Hz)" of the rear surround and the main box, the "sound surrounding feeling" is created by using the "binaural effect" of the human ear, and the disconnection of the human voice or the confusion of the sound field is avoided. The KTV rear surround device is upgraded from a common PVC shell to a customized structure, and the sound unit is optimized to be "mid-frequency prominent" (matching the KTV voice requirements), and some products support Bluetooth debugging (simplifying the installation operation). The KTV rear surround device relies on manual knob adjustment in the early stage, and gradually adds basic acoustic tools (such as sound pressure level detection).

[0003] However, the existing KTV system rear surround device setting and arrangement means have the following disadvantages: the installation personnel of the rear surround device determine the position according to "conventional habits", do not collect the size of the box (such as the small box which is pasted on the wall, which will cause strong reflection), the furniture layout (such as the sofa which blocks the sound of the rear surround), and even ignore the hardware characteristics of the rear surround; the staff sets the rear surround device using "uniform parameter templates", usually without considering the environmental differences of each box and the preferences of customers for sound effects, and only relies on "installation master's hearing" or "customer's simple singing" verification, without detecting objective indicators and making subjective evaluations of multiple people, so it is difficult to find hidden problems such as "local sound field weakness" and "vocal ambiguity". SUMMARY

[0004] The main purpose of the present application is to provide a KTV system rear surround setting method, device, terminal and medium, which can achieve the optimal acoustic effect of the rear surround device of the KTV system in the box while ensuring that the acoustic effect of the rear surround device meets the preferences of the customers in the box.

[0005] To achieve the above purpose, the present application provides a KTV system rear surround setting method, which comprises:

[0006] Obtaining rear surround device static parameters, box environment data, box acoustic data and customer preference data, wherein the customer preference data is used to represent the preference of the customer in the box for the acoustic effect;

[0007] Based on the rear surround device static parameters, the box environment data and the box acoustic data, the target position of the rear surround device in the box is determined;

[0008] determine a target adjustment parameter combination corresponding to the surround device based on the surround device static parameter, the theater acoustic data, and the customer preference data;

[0009] process the surround device based on the target adjustment parameter combination, and place the surround device at the target position, so that the acoustic effect of the surround device is optimal and conforms to the customer preference.

[0010] Specifically, the target position of the surround device in the theater is determined based on the surround device static parameter, the theater environment data, and the theater acoustic data, including:

[0011] The target position is obtained by a preset neural network model based on the surround device static parameter, the theater environment data, and the theater acoustic data.

[0012] Specifically, the target position includes a target three-dimensional coordinate, the preset neural network model includes an input layer, a hidden layer, and an output layer, the output layer includes three neurons, and the neurons are one-to-one corresponding to three target values of the target three-dimensional coordinate.

[0013] The target position is obtained by a preset neural network model based on the surround device static parameter, the theater environment data, and the theater acoustic data, including:

[0014] An input feature vector is obtained by the input layer based on the surround device static parameter, the theater environment data, and the theater acoustic data.

[0015] An associated rule feature vector is obtained by the hidden layer based on the input feature vector.

[0016] The target three-dimensional coordinate is obtained by the output layer based on the associated rule feature vector.

[0017] Specifically, the target adjustment parameter combination corresponding to the surround device is determined based on the surround device static parameter, the theater acoustic data, and the customer preference data, including:

[0018] Based on the surround device static parameter, the theater acoustic data, and the customer preference data, a target function, a constraint condition corresponding to the target function, and an optimization variable combination corresponding to the target function are constructed, with the goal of optimizing the acoustic effect of the surround device and making the acoustic effect conform to the customer preference.

[0019] The optimization variable combination is optimized by a preset algorithm based on the target function and the constraint condition, and the target adjustment parameter combination is obtained.

[0020] Specifically, based on the back surround device static parameters, the auditorium acoustic data and the customer preference data, an objective function, constraint conditions corresponding to the objective function and an optimization variable combination corresponding to the objective function are constructed, with the acoustic effect of the back surround device being optimal and the acoustic effect meeting customer preferences as the target, including:

[0021] The objective function is constructed based on the auditorium acoustic data and the customer preference data;

[0022] The constraint conditions are determined based on the objective function and the back surround device static parameters;

[0023] The optimization variable combination is determined based on the back surround device static parameters.

[0024] Specifically, the objective function is expressed by the following calculation expression:

[0025]

[0026] wherein, the fitness value of the objective function is represented by f(x), the sound field uniformity in the auditorium acoustic data is represented by SIR, the reverberation time in the auditorium acoustic data is represented by T60, the preset optimal reverberation time is represented by T60_opt, the signal-to-noise ratio data in the auditorium acoustic data is represented by SNR, the customer preference data is represented by P, , , and the first preset weight, the second preset weight, the third preset weight and the fourth preset weight are respectively represented by w1, w2, w3 and w4.

[0027] Specifically, based on the objective function and the constraint conditions, the optimization variable combination is optimized by a preset algorithm to obtain the target adjustment parameter combination, including:

[0028] M initial adjustment parameter combinations are obtained based on the optimization variable combination;

[0029] The initial adjustment parameter combination is iterated M times based on the objective function and the constraint conditions, or the initial adjustment parameter combination is iterated until the change in the fitness value in consecutive N iterations is less than a preset threshold value;

[0030] The initial adjustment parameter combination corresponding to the maximum fitness value in the fitness value is determined as the target adjustment parameter combination;

[0031] Wherein, M, N are positive integers and M is greater than N.

[0032] To achieve the above object, the application further provides a KTV system rear surround setting device, which comprises:

[0033] The first unit is used for acquiring rear surround device static parameters, box environment data, box acoustic data and customer preference data, wherein the customer preference data is used for representing the preference condition of the customer in the box for acoustic effect;

[0034] The second unit is used for determining the target position of the rear surround device in the box based on the rear surround device static parameters, the box environment data and the box acoustic data;

[0035] The third unit is used for determining the target adjustment parameter combination corresponding to the rear surround device based on the rear surround device static parameters, the box acoustic data and the customer preference data;

[0036] The fourth unit is used for processing the rear surround device based on the target adjustment parameter combination and placing the rear surround device at the target position, so that the acoustic effect of the rear surround device is optimal and the acoustic effect meets the customer preference.

[0037] To achieve the above object, the application further provides a terminal, which comprises a memory storing a plurality of instructions; and a processor loading the instructions from the memory to execute the steps in any method provided by the application.

[0038] To achieve the above object, the application further provides a medium storing a plurality of instructions, which are suitable for being loaded by a processor to execute the steps in any method provided by the application.

[0039] The KTV system rear surround setting method, device, terminal and medium provided by the application can first acquire rear surround device static parameters, box environment data, box acoustic data and customer preference data; determine the target position of the rear surround device in the box based on the rear surround device static parameters, the box environment data and the box acoustic data; determine the target adjustment parameter combination corresponding to the rear surround device based on the rear surround device static parameters, the box acoustic data and the customer preference data; process the rear surround device based on the target adjustment parameter combination and place the rear surround device at the target position, so that the acoustic effect of the rear surround device in the box of the KTV system is optimal and the acoustic effect of the rear surround device meets the customer preference. BRIEF DESCRIPTION OF DRAWINGS

[0040] Figure 1 The flowchart of the method provided by the embodiment of the application;

[0041] Figure 2 An application schematic diagram of the preset neural network model provided for the embodiments of the present application is shown in FIG. 1.

[0042] Figure 3 A structural schematic diagram of the device provided for the embodiments of the present application is shown in FIG. 2.

[0043] Figure 4 A structural schematic diagram of the terminal provided for the embodiments of the present application is shown in FIG. 3. DETAILED DESCRIPTION

[0044] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of the present application.

[0045] The existing setting and arrangement means of the rear surround equipment of the KTV system have the following deficiencies: the installation personnel of the rear surround equipment determine the position according to the “conventional habit”, without collecting the size of the box (such as the small box close to the wall, which may cause too strong reflection), the layout of furniture (such as the sofa shielding the sound emitting surface of the rear surround), and even ignoring the hardware characteristics of the rear surround; the staff sets the rear surround equipment by using “uniform parameter template”, usually without considering the environmental differences of each box and the preferences of customers for sound effects, and only relying on “installation master's listening feeling” or “customer's simple singing” verification, without detecting objective indicators and making subjective evaluation of multiple people, so that it is difficult to find hidden problems such as “local sound field weakness” and “vocal blur”.

[0046] Therefore, the embodiments of the present application provide a KTV system rear surround setting method, device, terminal and medium to solve the actual technical problems.

[0047] In some embodiments, the device can be specifically integrated in an electronic device, which can be a terminal, a server or the like.

[0048] In some embodiments, the server can also be implemented in the form of a terminal.

[0049] The server can be a stand-alone physical server, a server cluster or a distributed system composed of multiple physical servers, a cloud server providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN (Content Delivery Network), and basic cloud computing services such as big data and artificial intelligence platforms.

[0050] The terminal can be a smart phone, a tablet computer, a notebook computer, a desktop computer, a smart speaker, a smart watch, and the like, but is not limited thereto. The terminal and the server can be directly or indirectly connected through wired or wireless communication, which is not limited in the present application.

[0051] The following will be described in detail respectively. It should be noted that the serial numbers of the following embodiments are not regarded as the limitation of the preferred order of the embodiments.

[0052] The embodiment of the present application provides a method for setting a rear surround of a KTV system, which can ensure that the acoustic effect of the rear surround meets the preference of the customers in the box while achieving the optimal acoustic effect of the rear surround device of the KTV system in the box.

[0053] In some embodiments, a certain KTV box is a rectangular small box (mainly receiving 2-4 people small party, and the preferred style of the customers is the popular style), and the rear surround device needs to be configured (customized parameters, i.e., the static parameters of the rear surround device include: frequency response 60Hz-20kHz, sensitivity 88dBSPL / 1W / 1m, and maximum output power 50WRMS).

[0054] As Figure 1 , the specific process of the method can be as follows:

[0055] S110, acquiring the static parameters of the rear surround device, the box environment data, the box acoustic data, and the customer preference data, wherein the customer preference data is used to represent the preference of the customers in the box to the acoustic effect.

[0056] In some embodiments, the static parameters of the rear surround device, i.e., the core parameters extracted from the factory report include:

[0057] Frequency response range: 60Hz-20kHz;

[0058] Sensitivity: 88dB;

[0059] Maximum output power: 50WRMS (corresponding to maximum sound pressure level 85dB@1m);

[0060] Horizontal diffusion angle: 120°, vertical diffusion angle: 90°.

[0061] The box environment data includes:

[0062] Three-dimensional size: length L=4.5m, width W=3.3m, height H=2.8m (volume V=4.5×3.3×2.8=41.58m³);

[0063] Wall material: gypsum board (sound absorption coefficient α=0.15), floor: carpet (α=0.4);

[0064] Furniture layout: there is a double sofa (K=15%) at 1.2m in front of the back wall, and no other large occlusions.

[0065] The box acoustic data is collected by a microphone array and a sound level meter, including:

[0066] Sound field uniformity: the standard deviation of sound pressure level at 5 test points is σ=4.2dB (U initial value=1-4.2 / 5=0.16);

[0067] Reverberation time T=1.4s (deviation from the optimal value T0=1.0s);

[0068] Background noise level: 35dB(A), singing signal sound pressure level: 70dB(A) (signal-to-noise ratio S=(70-35) / 40=0.875).

[0069] The customer preference data is collected by a song ordering system questionnaire, including:

[0070] Main style: pop (quantized vector P=[0.6, 0.3, 0.1], corresponding to low / medium / high frequency weight);

[0071] Volume comfort interval: 70-80dB(A);

[0072] Reverberation intensity: medium (preference T close to 1.0s).

[0073] S120, based on the rear surround device static parameters, the box environment data and the box acoustic data, determining the target position of the rear surround device in the box.

[0074] In some embodiments, the target position of the rear surround device in the box is determined based on the rear surround device static parameters, the box environment data and the box acoustic data, including the specific implementation process as follows:

[0075] The target position is obtained by a preset neural network model according to the rear surround device static parameters, the box environment data and the box acoustic data.

[0076] Specifically, the target position includes a target three-dimensional coordinate, such as Figure 2 The preset neural network model includes an input layer, a hidden layer and an output layer, the output layer includes three neurons, and the neurons are one-to-one corresponding to the three target values of the target three-dimensional coordinate.

[0077] The target position is obtained by a preset neural network model according to the rear surround device static parameters, the box environment data and the box acoustic data, including the steps of S121 to S123 as follows:

[0078] S121, obtaining an input feature vector according to the rear surround device static parameters, the auditorium environment data, and the auditorium acoustic data through the input layer.

[0079] In some embodiments, the rear surround device static parameters, the auditorium environment data, and the auditorium acoustic data are converted into an 8-dimensional input feature vector through the input layer, including: V = 41.58 m³ (normalized 0.35), W / L = 0.73 (0.6), K = 15% (0.15), a = 0.15 (0.2), sensitivity 88 dB (0.8), horizontal diffusion angle 120° (0.9), reverberation time 1.4 s (0.6), noise level 35 dB (0.3).

[0080] S122, obtaining a correlation rule feature vector according to the input feature vector through the hidden layer.

[0081] In some embodiments, the hidden layer (16 neurons, ReLU activation) extracts the "environment-device-sound field" correlation rule in the input feature vector (such as "small volume auditorium needs to reduce the distance from the rear wall to enhance the surround feeling"), and obtains the correlation rule feature vector.

[0082] S123, obtaining the target three-dimensional coordinates according to the correlation rule feature vector through the output layer.

[0083] In some embodiments, the output layer has three neurons, and the target three-dimensional coordinates are outputted, including:

[0084] x = 1.5 m (1.5 m from the center of the auditorium to the left, within the constraint of [0.5, W-0.5 = 2.8 m]);

[0085] y = 0.6 m (0.6 m from the rear wall, within the constraint of [0.3, 1.0 m]);

[0086] z = 1.8 m (height 1.8 m, within the constraint of [1.5, 2.2 m], matching the height of the sitting person's ear).

[0087] S130, determining a target adjustment parameter combination corresponding to the rear surround device based on the rear surround device static parameters, the auditorium acoustic data, and the customer preference data.

[0088] In some embodiments, the determination of the target adjustment parameter combination corresponding to the rear surround device based on the rear surround device static parameters, the auditorium acoustic data, and the customer preference data includes the steps of S131 to S132 as shown below:

[0089] S131, based on the rear surround device static parameters, the auditorium acoustic data and the customer preference data, constructing a target function, a constraint condition corresponding to the target function and an optimization variable combination corresponding to the target function, with the target of optimal acoustic effect of the rear surround device and the acoustic effect meeting the customer preference.

[0090] In some embodiments, the constructing a target function, a constraint condition corresponding to the target function and an optimization variable combination corresponding to the target function, with the target of optimal acoustic effect of the rear surround device and the acoustic effect meeting the customer preference based on the rear surround device static parameters, the auditorium acoustic data and the customer preference data, includes the steps of S1311-S1313 as shown below:

[0091] S1311, based on the auditorium acoustic data and the customer preference data, constructing the target function.

[0092] In some embodiments, the target function is expressed by the following calculation expression:

[0093]

[0094] wherein, represents the fitness value of the target function, represents the sound field uniformity in the auditorium acoustic data, represents the reverberation time in the auditorium acoustic data, represents a preset optimal reverberation time, represents the signal-to-noise ratio data in the auditorium acoustic data, represents the customer preference data, , , and respectively represent a first preset weight, a second preset weight, a third preset weight and a fourth preset weight.

[0095] Specifically, the first preset weight, the second preset weight, the third preset weight and the fourth preset weight are respectively:

[0096] = 0.4 (sound field uniformity), = 0.3 (reverberation adaptation), = 0.2 (signal-to-noise ratio), = 0.1 (preference matching).

[0097] S1312, based on the target function and the rear surround device static parameters, determining the constraint condition.

[0098] In some embodiments, based on the rear surround device static parameters, the constraint condition includes:

[0099] Volume V: 65dB≤V≤85dB (avoiding 30dB below noise or exceeding 50W power upper limit);

[0100] Frequency split point F0: 200Hz≤F0≤800Hz (optimal interval for frequency connection in rear surround device);

[0101] Delay time D: 5ms≤D≤30ms (avoiding echo disconnection);

[0102] EQ gain: G_low / G_mid / G_high∈[-12dB,12dB] (avoiding signal distortion).

[0103] S1313, determining the optimization variable combination based on the rear surround device static parameters.

[0104] In some embodiments, the optimization variable combination includes:

[0105]

[0106] wherein, V represents volume, i.e. rear surround output sound pressure level (dB); F represents the frequency split point of the rear surround and the main box (Hz); D represents the delay time of the rear surround signal relative to the main box (ms); G_low, G_mid and G_high respectively represent low frequency (60-200Hz), medium frequency (200Hz-5kHz) and high frequency (5-20kHz) gain (dB).

[0107] S132, based on the target function and the constraint condition, performing optimization processing on the optimization variable combination through a preset algorithm to obtain the target adjustment parameter combination.

[0108] In some embodiments, the optimization processing on the optimization variable combination through a preset algorithm to obtain the target adjustment parameter combination based on the target function and the constraint condition includes the following steps of S1321-S1323:

[0109] S1321, based on the optimization variable combination, obtaining M initial adjustment parameter combinations, wherein M is a positive integer.

[0110] In some embodiments, 50 initial adjustment parameter combinations can be generated, one of which can be:

[0111] [70dB, 500Hz, 15ms, 0dB, +2dB, -1dB].

[0112] S1322, based on the objective function and the constraint condition, performing M times of iteration processing on the initial adjustment parameter combination, or performing iteration processing on the initial adjustment parameter combination until the change amount of the fitness value in consecutive N times of iteration is less than a preset threshold, where M and N are positive integers and M is greater than N.

[0113] In some embodiments, the iteration is performed 50 times, and the fitness value is calculated each time:

[0114] For example, the fitness value of the initial group is 0.4*0.16+0.3*(1-|1.4-1.0| / 1.0)+0.2*0.875+0.1*0.6=0.064+0.18+0.175+0.06=0.479.

[0115] Or, at the 30th iteration, the change of the fitness value in the previous 5 consecutive times is <0.01, and the iteration is stopped.

[0116] S1323, determining that the initial adjustment parameter combination corresponding to the maximum fitness value in the fitness value is the target adjustment parameter combination.

[0117] In some embodiments, the parameter corresponding to the maximum fitness value 0.89 in the fitness value is:

[0118]

[0119] S140, based on the target adjustment parameter combination, processing the rear surround device, and placing the rear surround device at the target position, so that the acoustic effect of the rear surround device is optimal and the acoustic effect meets the customer preference.

[0120] In some embodiments, the target adjustment parameter combination of step S1323 is written to the rear surround device (volume 75dB, crossover point 400Hz, etc.); the rear surround device is fixed according to the three-dimensional target coordinates (x=1.5m, y=0.6m, z=1.8m) of step S123, ensuring that the upper cover silk screen LOGO is not blocked, the sound emitting surface faces the center of the box, and the rear surround device realizes the optimal effect of "popular music style vocal prominence, uniform sound field coverage, and natural surround feeling" at the target position and parameters, and meets the customer's acoustic and style preferences.

[0121] In summary, the present application provides a method for setting a rear surround of a KTV system, which can achieve optimal acoustic effect of the rear surround device of the KTV system in the box while ensuring that the acoustic effect of the rear surround device meets the customer's preference in the box.

[0122] To better implement the above methods, this application also provides a rear surround setting device for a KTV system. This device can be integrated into an electronic device, such as a terminal or server. The terminal can be a mobile phone, tablet, smart Bluetooth device, laptop, or personal computer; the server can be a single server or a server cluster consisting of multiple servers.

[0123] For example, in this embodiment, the method of this application embodiment will be described in detail by taking the KTV system rear surround setting device specifically integrated into the terminal as an example.

[0124] For example, such as Figure 3 As shown, the KTV system rear surround mounting device 300 may include a first unit 301, a second unit 302, a third unit 303, and a fourth unit 304. The device includes:

[0125] The first unit 301 is used to acquire the static parameters of the rear surround equipment, the cabin environment data, the cabin acoustic data and the customer preference data, wherein the customer preference data is used to characterize the customers' preference for acoustic effects in the cabin.

[0126] The second unit 302 is used to determine the target position of the rear surround equipment in the compartment based on the static parameters of the rear surround equipment, the compartment environmental data, and the compartment acoustic data.

[0127] The third unit 303 is used to determine the target adjustment parameter combination corresponding to the rear surround equipment based on the static parameters of the rear surround equipment, the acoustic data of the compartment, and the customer preference data.

[0128] The fourth unit 304 is used to adjust the parameter combination based on the target, process the rear surround device, and place the rear surround device at the target position so that the acoustic effect of the rear surround device is optimal and the acoustic effect meets customer preferences.

[0129] In practice, each of the above units can be implemented as an independent entity or can be arbitrarily combined to be implemented as the same or several entities. For the specific implementation of each of the above units, please refer to the previous method embodiments, which will not be repeated here.

[0130] As can be seen from the above, the embodiments of this application can achieve the optimal acoustic effect of the rear surround sound system in the KTV room while ensuring that the acoustic effect of the rear surround sound system meets the preferences of the customers in the room.

[0131] This application also provides an electronic device, which can be a terminal, a server, or other similar device. The terminal can be a mobile phone, tablet computer, smart Bluetooth device, laptop computer, personal computer, etc.; the server can be a single server or a server cluster composed of multiple servers, etc.

[0132] In some embodiments, the product processing device may also be integrated into multiple electronic devices, such as multiple servers, with multiple servers implementing the KTV system rear surround setting method of this application.

[0133] In this embodiment, the electronic device will be described in detail as a terminal, for example, such as... Figure 4 As shown, it illustrates a structural schematic diagram of the terminal 400 involved in an embodiment of this application. Specifically:

[0134] The terminal 400 may include components such as a processor 401 with one or more processing cores, a memory 402 with one or more media, a power supply 403, an input module 404, and a communication module 405. Those skilled in the art will understand that... Figure 4 The terminal 400 structure shown does not constitute a limitation on the terminal 400, and may include more or fewer components than shown, or combine certain components, or have different component arrangements. Wherein:

[0135] The processor 401 is the control center of the terminal 400. It connects various parts of the terminal 400 via various interfaces and lines, and performs various functions and processes data by running or executing software programs and / or modules stored in the memory 402, and by calling data stored in the memory 402, thereby providing overall monitoring of the terminal 400. In some embodiments, the processor 401 may include one or more processing cores; in some embodiments, the processor 401 may integrate an application processor and a modem processor, wherein the application processor mainly handles the operating system, user interface, and applications, and the modem processor mainly handles wireless communication. It is understood that the modem processor may also not be integrated into the processor 401.

[0136] The memory 402 can be used to store software programs and modules, and the processor 401 can execute various function applications and data processing by running the software programs and modules stored in the memory 402. The memory 402 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, application programs required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; and the data storage area can store data created according to the use of the terminal 400, etc. In addition, the memory 402 can include a high-speed random access memory, and can also include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other volatile solid-state memory device. Accordingly, the memory 402 can also include a memory controller to provide the processor 401 with access to the memory 402.

[0137] The terminal 400 further includes a power supply 403 for supplying power to various components, and in some embodiments, the power supply 403 can be logically connected to the processor 401 through a power management system, so that the power management system can realize functions such as management of charging, discharging, and power consumption management. The power supply 403 can also include one or more direct current or alternating current power supplies, a recharging system, a power supply failure detection circuit, a power supply converter or inverter, a power supply status indicator, and the like.

[0138] The terminal 400 can further include an input module 404, which can be used to receive input digital or character information, and to generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function controls.

[0139] The terminal 400 can further include a communication module 405, which in some embodiments can include a wireless module, and the terminal 400 can perform short-range wireless transmission through the wireless module of the communication module 405, thereby providing the user with wireless broadband Internet access. For example, the communication module 405 can be used to help the user send and receive emails, browse web pages, and access streaming media, etc.

[0140] Although not shown, the terminal 400 can also include a display unit, etc., which will not be described here. Specifically, in the present embodiment, the processor 401 in the terminal 400 will load the executable file corresponding to the process of one or more application programs into the memory 402 according to the following instructions, and run the application programs stored in the memory 402 by the processor 401, thereby realizing various functions, as follows:

[0141] Obtaining static parameters of the surround device, theater environment data, theater acoustic data, and customer preference data, wherein the customer preference data is used to represent the preference of the customer of the theater for acoustic effects;

[0142] determine a target position of the surround device in the cabin based on the surround device static parameters, the cabin environment data and the cabin acoustic data;

[0143] determine a target adjustment parameter combination corresponding to the surround device based on the surround device static parameters, the cabin acoustic data and the customer preference data;

[0144] process the surround device based on the target adjustment parameter combination and place the surround device at the target position, so that the acoustic effect of the surround device is optimal and the acoustic effect meets the customer preference.

[0145] The specific implementation of each operation can be referred to the foregoing embodiments, which will not be described here.

[0146] As can be seen from the above, the embodiments of the present application can achieve optimal acoustic effect of the surround device of the KTV system in the cabin while ensuring that the acoustic effect of the surround device meets the preference of the customer in the cabin.

[0147] Those skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructions, or by controlling relevant hardware by the instructions, which can be stored in a medium and loaded and executed by a processor.

[0148] To this end, the embodiments of the present application provide a medium, which stores a plurality of instructions capable of being loaded by a processor to execute the steps in any of the KTV system surround setting methods provided by the embodiments of the present application. For example, the instructions can execute the following steps:

[0149] obtain surround device static parameters, cabin environment data, cabin acoustic data and customer preference data, wherein the customer preference data is used to represent the preference of the customer in the cabin to the acoustic effect;

[0150] determine a target position of the surround device in the cabin based on the surround device static parameters, the cabin environment data and the cabin acoustic data;

[0151] determine a target adjustment parameter combination corresponding to the surround device based on the surround device static parameters, the cabin acoustic data and the customer preference data;

[0152] process the surround device based on the target adjustment parameter combination and place the surround device at the target position, so that the acoustic effect of the surround device is optimal and the acoustic effect meets the customer preference.

[0153] The medium can include a read only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0154] According to an aspect of the present application, a computer program product or computer program is provided, which includes computer instructions stored in a medium. A processor of a computer device reads the computer instructions from the medium, and the processor executes the computer instructions, so that the computer device executes the method provided in any of the optional implementation manners provided in the above embodiments.

[0155] Since the instructions stored in the medium can execute the steps in any of the ktv system rear surround setting methods provided in the embodiments of the present application, the beneficial effects that can be achieved by any of the ktv system rear surround setting methods provided in the embodiments of the present application can be achieved. Details are described in the above embodiments, and will not be described here.

[0156] The above describes in detail a ktv system rear surround setting method, device, terminal and medium provided in the embodiments of the present application. The principles and implementation manners of the present application are described by applying specific examples. The above embodiment descriptions are only used to help understand the method of the present application and its core idea. Meanwhile, for those skilled in the art, according to the idea of the present application, the specific implementation manners and application ranges can be changed. In summary, the content of the present description should not be understood as a limitation of the present application.

Claims

1. A method for setting a rear surround of a KTV system, characterized in that, The method comprises: acquiring a rear surround device static parameter, a box environment data, a box acoustic data and a customer preference data, wherein the customer preference data is used to represent a preference condition of a customer in the box for an acoustic effect; determining a target position of the rear surround device in the box based on the rear surround device static parameter, the box environment data and the box acoustic data; determining a target adjustment parameter combination corresponding to the rear surround device based on the rear surround device static parameter, the box acoustic data and the customer preference data; processing the rear surround device based on the target adjustment parameter combination and placing the rear surround device at the target position so that an acoustic effect of the rear surround device is optimal and the acoustic effect meets the customer preference; based on the rear surround device static parameter, the box acoustic data and the customer preference data, constructing a target function, a constraint condition corresponding to the target function and an optimization variable combination corresponding to the target function, with the target of the acoustic effect of the rear surround device being optimal and the acoustic effect meeting the customer preference, comprising: constructing the target function based on the box acoustic data and the customer preference data; determining the constraint condition based on the target function and the rear surround device static parameter; determining the optimization variable combination based on the rear surround device static parameter; the optimization variable combination comprises: wherein, represents a rear surround output sound pressure level; represents a frequency division point of the rear surround and the main box; represents a delay time of the rear surround signal with respect to the main box; respectively represent a low frequency gain, a middle frequency gain, and a high frequency gain; the target function is represented by the following calculation expression: wherein, represents a fitness value of the objective function, represents a sound field uniformity in the auditorium acoustic data, represents a reverberation time in the auditorium acoustic data, represents a preset optimal reverberation time, represents a signal-to-noise ratio data in the auditorium acoustic data, represents the customer preference data, , , and respectively represent a first preset weight, a second preset weight, a third preset weight, and a fourth preset weight.

2. The method of claim 1, wherein, determining the target position of the rear surround device in the box based on the rear surround device static parameter, the box environment data and the box acoustic data, comprising: obtaining the target position according to the rear surround device static parameter, the box environment data and the box acoustic data through a preset neural network model.

3. The method of claim 2, wherein, the target position comprises a target three-dimensional coordinate, the preset neural network model comprises an input layer, a hidden layer and an output layer, the output layer comprises three neurons, and the neurons are one-to-one corresponding to three target values of the target three-dimensional coordinate; obtaining the target position according to the rear surround device static parameter, the box environment data and the box acoustic data through the preset neural network model, comprising: obtaining an input feature vector according to the rear surround device static parameter, the box environment data and the box acoustic data through the input layer; obtaining a correlation rule feature vector according to the input feature vector through the hidden layer; obtaining the target three-dimensional coordinate according to the correlation rule feature vector through the output layer.

4. The method of claim 1, wherein, determining the target adjustment parameter combination corresponding to the rear surround device based on the rear surround device static parameter, the box acoustic data and the customer preference data, comprising: based on the rear surround device static parameter, the box acoustic data and the customer preference data, constructing a target function, a constraint condition corresponding to the target function and an optimization variable combination corresponding to the target function, with the target of the acoustic effect of the rear surround device being optimal and the acoustic effect meeting the customer preference; Based on the objective function and the constraint condition, the preset algorithm is used to optimize the combination of the optimization variables to obtain the combination of the target adjustment parameters.

5. The method of claim 1, wherein, The combination of the optimization variables is obtained based on the combination of the optimization variables. Based on the combination of the optimization variables, M initial adjustment parameter combinations are obtained. Based on the objective function and the constraint condition, the initial adjustment parameter combinations are iterated M times, or the initial adjustment parameter combinations are iterated until the change in the fitness value in consecutive N iterations is less than a preset threshold. The initial adjustment parameter combination corresponding to the maximum fitness value in the fitness value is determined as the target adjustment parameter combination. Wherein, M, N are positive integers and M is greater than N.

6. A ktv system rear surround setting device, characterized in that, The device comprises: The first unit is configured to obtain the back surround device static parameters, the box environment data, the box acoustic data, and the customer preference data, wherein the customer preference data is used to represent the preference of the customer in the box for the acoustic effect. The second unit is configured to determine the target position of the back surround device in the box based on the back surround device static parameters, the box environment data, and the box acoustic data. The third unit is configured to determine the target adjustment parameter combination corresponding to the back surround device based on the back surround device static parameters, the box acoustic data, and the customer preference data. The fourth unit is configured to process the back surround device based on the target adjustment parameter combination, and place the back surround device at the target position, so that the acoustic effect of the back surround device is optimal and the acoustic effect meets the customer preference. Based on the back surround device static parameters, the box acoustic data, and the customer preference data, the acoustic effect of the back surround device is optimal and the acoustic effect meets the customer preference as the target, a target function, a constraint condition corresponding to the target function, and a combination of optimization variables corresponding to the target function are constructed. Based on the box acoustic data and the customer preference data, the target function is constructed. Based on the target function and the back surround device static parameters, the constraint condition is determined. Based on the back surround device static parameters, the combination of optimization variables is determined. The combination of optimization variables comprises: wherein, represents a rear surround output sound pressure level; represents a rear surround and main box frequency division point; represents a rear surround signal delay time with respect to the main box; respectively represent a low frequency gain, a middle frequency gain, and a high frequency gain; The target function is represented by the following calculation expression: wherein, represents a fitness value of the objective function, represents a sound field uniformity in the auditorium acoustic data, represents a reverberation time in the auditorium acoustic data, represents a preset optimal reverberation time, represents a signal-to-noise ratio data in the auditorium acoustic data, represents the customer preference data, , , and respectively represent a first preset weight, a second preset weight, a third preset weight, and a fourth preset weight.

7. A terminal, characterized by comprising: The medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor to execute the steps in the method of any one of claims 1-5.

8. A medium characterized by, The medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor to execute the steps in the method of any one of claims 1-5.

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