CN115866486A - Sound box tuning simulation method, device, equipment and storage medium - Google Patents
Sound box tuning simulation method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention relates to the technical field of audio processing, and discloses a sound box tuning simulation method, a device, equipment and a storage medium, wherein the method comprises the following steps: obtaining a simulated sound box curve based on the initial sound box curve and the target sound box curve; AGL adjustment is carried out on the simulated sound box curve to obtain a final sound box curve; combining the final sound box curve with a Pink power spectrum to obtain a maximum sound pressure level; and tuning the sound box to be tuned based on the final sound box curve and the maximum sound pressure level. Compared with the prior art that the tuning operation is carried out in a blind tuning mode of subjective listening, the method provided by the invention is based on the simulated tuning of the to-be-tuned sound box, the final sound box curve and the maximum sound pressure level are obtained based on the result of the simulated tuning, and the debugging parameters of the to-be-tuned sound box are reversely deduced, so that the problems that the tuning process in the prior art is long in time consumption and is greatly influenced by artificial subjective factors are avoided, and the to-be-tuned sound box can be rapidly and accurately tuned based on the obtained simulated debugging parameters.
Description
Technical Field
The invention relates to the technical field of audio processing, in particular to a sound box tuning simulation method, a sound box tuning simulation device, sound box tuning simulation equipment and a storage medium.
Background
Nowadays, sound boxes are still one of the mainstream products in the consumer electronics industry, and the sound quality of sound boxes becomes an important index for consumers to purchase the product. In order to develop a sound box product with excellent sound quality, developers often need to debug a large number of sound box curves, and constantly test and readjust the sound box. The difficulty in tuning sound boxes is how to make competitive sound quality, and therefore, a large number of comparison tests of product and target sound quality are often required.
At present, a conventional sound box tuning scheme is usually realized in a mode of listening to a blind sound subjectively, and the EQ parameter (namely, an equalizer parameter of a sound box) and the DRC parameter (namely, a dynamic compression parameter of the sound box) are adjusted. However, the disadvantages of this method are obvious, long time consuming and highly influenced by human subjective factors. Therefore, in the current tuning process, due to the fact that accurate analog tuning data are not used as reference, the tuning result corresponding to the subjective blind tuning mode is not accurate and comprehensive enough. Therefore, a method for tuning a sound box to be tuned by rapidly and accurately acquiring simulation debugging parameters is needed in the industry.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a sound box tuning simulation method, a sound box tuning simulation device, sound box tuning simulation equipment and a storage medium, and aims to solve the technical problem that simulation debugging parameters cannot be quickly and accurately obtained to tune a sound box to be tuned in the prior art.
In order to achieve the above object, the present invention provides a sound box tuning simulation method, which comprises the following steps:
obtaining a simulated sound box curve based on the initial sound box curve and the target sound box curve, wherein the target sound box curve is a sound box curve corresponding to the prototype sound box;
AGL adjustment is carried out on the simulated sound box curve to obtain a final sound box curve;
combining the final sound box curve with a Pink power spectrum to obtain a maximum sound pressure level;
and tuning the sound box to be tuned based on the final sound box curve and the maximum sound pressure level.
Optionally, obtaining a simulated sound box curve based on the initial sound box curve and the target sound box curve, where the target sound box curve is a sound box curve corresponding to the prototype sound box, further includes:
acquiring an original sound box curve corresponding to a sound box to be tuned and a target sound box curve corresponding to a prototype sound box;
and acquiring a difference curve of the original sound box curve and the target sound box curve, and determining an initial sound box curve according to the difference curve.
Optionally, obtaining a simulated speaker curve based on the initial speaker curve and the target speaker curve includes:
fitting the initial sound box curve by using a least square method by taking a target sound box curve as a reference to obtain a fitted sound box curve;
and performing DRC simulation on the fitted sound box curve based on the target DRC parameters to obtain a simulated sound box curve.
Optionally, the performing DRC simulation on the fitted speaker curve based on the target DRC parameter to obtain a simulated speaker curve includes:
acquiring input interface parameters in target DRC parameters, wherein the input interface parameters comprise gains, thresholds and frequency dividing points corresponding to the target DRC parameters;
and performing DRC simulation on the fitted sound box curve based on the input interface parameters to obtain a simulated sound box curve.
Optionally, the performing AGL adjustment on the simulated speaker curve to obtain a final speaker curve includes:
performing AGL adjustment on the simulated sound box curve according to the target power output;
and limiting the power output of the simulated sound box curve based on the adjustment result to obtain a final sound box curve.
Optionally, the combining the final loudspeaker box curve with the Pink power spectrum to obtain a maximum sound pressure level includes:
determining final loudspeaker box curve energy corresponding to the final loudspeaker box curve and sink power spectrum energy corresponding to the sink power spectrum through a PowerSum algorithm;
and acquiring a sum of the superposed energy based on the final sound box curve energy and the Pink power spectrum energy, and acquiring a maximum sound pressure level based on the sum of the superposed energy.
Optionally, tuning the to-be-tuned speaker based on the final speaker curve and the maximum sound pressure level includes:
obtaining simulated debugging data of the sound box to be tuned based on the final sound box curve and the maximum sound pressure level;
and comparing the simulation debugging data with the actual debugging data of the sound box to be tuned, and tuning the sound box to be tuned based on a comparison result.
In order to achieve the above object, the present invention also provides a sound box tuning simulation device, including:
the first calculation module is used for obtaining a simulated sound box curve based on the initial sound box curve and the target sound box curve, and the target sound box curve is a sound box curve corresponding to the prototype sound box;
the curve adjusting module is used for carrying out AGL adjustment on the simulated sound box curve to obtain a final sound box curve;
the second calculation module is used for combining the final sound box curve with the Pink power spectrum to obtain the maximum sound pressure level;
and the data processing module is used for determining debugging data based on the final sound box curve and the maximum sound pressure level and tuning the sound box to be tuned based on the debugging data.
In addition, in order to achieve the above object, the present invention also provides a sound box tuning simulation device, including: the sound box tuning simulation method comprises a memory, a processor and a sound box tuning simulation program stored on the memory and capable of running on the processor, wherein the sound box tuning simulation program is configured to realize the steps of the sound box tuning simulation method.
In addition, to achieve the above object, the present invention further provides a storage medium having a sound box tuning simulation program stored thereon, wherein the sound box tuning simulation program, when executed by a processor, implements the steps of the sound box tuning simulation method as described above.
According to the invention, a simulated sound box curve is obtained based on the initial sound box curve and the target sound box curve, and the target sound box curve is a sound box curve corresponding to the prototype sound box; AGL adjustment is carried out on the simulated sound box curve to obtain a final sound box curve; combining the final sound box curve with a Pink power spectrum to obtain a maximum sound pressure level; and tuning the sound box to be tuned based on the final sound box curve and the maximum sound pressure level. Compared with the prior art that the tuning operation of the sound box to be tuned is completed by adjusting the EQ parameters (namely equalizer parameters of the sound box) and the DRC parameters (namely dynamic compression parameters of the sound box) in a subjective tuning blind mode, the method provided by the invention carries out simulated tuning based on the sound box curves and other parameters respectively corresponding to the sound box to be tuned and a prototype sound box, obtains the final sound box curve and the maximum sound pressure level based on the simulated tuning result, and reversely deduces the tuning parameters of the sound box to be tuned, so that the problems that the tuning process of equipment to be tuned in the prior art is long in time consumption and is greatly influenced by artificial subjective factors are avoided, the actual tuning parameters can be rapidly and accurately determined based on the obtained simulated tuning parameters, and the sound box to be tuned is subjected to the tuning operation according to the actual tuning parameters.
Drawings
Fig. 1 is a schematic structural diagram of a sound box tuning simulation device in a hardware operating environment according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a sound box tuning simulation method according to a first embodiment of the present invention;
FIG. 3 is a schematic flow chart of a sound box tuning simulation method according to a second embodiment of the present invention;
FIG. 4 is a schematic flow chart of a third embodiment of a sound box tuning simulation method according to the present invention;
fig. 5 is a structural block diagram of the sound box tuning simulation device according to the first embodiment of the invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a sound box tuning simulation device in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the sound box tuning simulation device may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to implement connection communication among these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (Wi-Fi) interface). The Memory 1005 may be a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in fig. 1 does not constitute a limitation of the loudspeaker tuning simulation apparatus, and may include more or fewer components than those shown, or some components in combination, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is one type of storage medium, may include therein an operating system, a network communication module, a user interface module, and a sound box tuning simulation program.
In the sound box tuning simulation device shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 of the sound box tuning simulation device according to the present invention may be provided in the sound box tuning simulation device, and the sound box tuning simulation device calls the sound box tuning simulation program stored in the memory 1005 through the processor 1001 and executes the sound box tuning simulation method according to the embodiment of the present invention.
An embodiment of the present invention provides a sound box tuning simulation method, and referring to fig. 2, fig. 2 is a schematic flow diagram of a first embodiment of the sound box tuning simulation method according to the present invention.
In this embodiment, the sound box tuning simulation method includes the following steps:
step S10: and obtaining a simulated sound box curve based on the initial sound box curve and the target sound box curve, wherein the target sound box curve is a sound box curve corresponding to the prototype sound box.
It should be noted that the execution main body of the method of this embodiment may be a computing service device with data processing, network communication, and program running functions, such as a mobile phone, a tablet computer, a personal computer, and the like, or may be other electronic devices capable of implementing the same or similar functions, which is not limited in this embodiment. The sound box tuning simulation method according to the present invention will be described in embodiments by taking a sound box tuning simulation device (hereinafter referred to as a simulation device) as an example.
It can be understood that the initial sound box curve can be obtained based on the original data corresponding to the sound box to be tuned and the target prototype data corresponding to the target prototype sound box, and the initial sound box curve is not subjected to any simulation tuning operation.
It should be understood that the target loudspeaker box curve is a loudspeaker box curve corresponding to a prototype loudspeaker box, the prototype loudspeaker box is a loudspeaker box which is most ideal after the loudspeaker box to be tuned is tuned, that is, timbre data corresponding to the prototype loudspeaker box is ideal timbre data of the loudspeaker box to be tuned, and the closer the prototype loudspeaker box curve and the timbre data are, the better the tuning effect of the loudspeaker box to be tuned is. The simulated sound box curve is a sound box curve obtained by converting an initial sound box curve through a specific simulation process.
In a specific implementation, the simulated speaker curve may be obtained by performing curve correlation on the initial speaker curve and the target speaker curve.
Step S20: and carrying out AGL adjustment on the simulated sound box curve to obtain a final sound box curve.
It should be noted that the AGL adjustment is a method for adjusting audio gain, and when the target audio signal value is lower than the noise, the corresponding gain of the target audio can be automatically reduced through the AGL adjustment.
It should be understood that the final speaker curve is a speaker curve obtained based on the prototype speaker.
Step S30: and combining the final sound box curve with a Pink power spectrum to obtain the maximum sound pressure level.
It should be noted that the Pink power spectrum is a power spectrum in which the power spectral density is inversely proportional to the frequency band, and the intensity of each corresponding multiple wave path is equal. And the Pink power spectrum is arranged in the simulation equipment so as to be quickly called in the actual simulation tuning process, thereby reducing the waiting time and improving the tuning efficiency.
It should be understood that the Maximum Sound Pressure Level (Maximum Sound Pressure Level) is an average value of the total Sound Pressure levels of the steady-state Maximum effective values that may be generated at each measurement point in the auditorium after the Sound amplifying system is debugged. The maximum sound pressure level may also be expressed in terms of a peak sound pressure level or a quasi-peak sound pressure level. The maximum effective total sound pressure level is equal to the logarithm with the base 10 of the root mean square sum of the sound pressures of each 1/3 octave (or 1/1 octave) frequency band in the rated pass band and then multiplied by 20, and the unit is dB. In this embodiment, the amount of sound energy radiated by the sound amplification system in the sound field can be characterized in terms of the maximum sound pressure level. In loudspeaker systems, the magnitude of the maximum sound pressure level directly affects the loudness of the loudspeaker sound heard by the listener. The method is a main evaluation quantity for subjectively evaluating the sound quality of the sound box, and the sound quality cannot be completely judged without certain loudness.
Step S40: and tuning the sound box to be tuned based on the final sound box curve and the maximum sound pressure level.
In a specific implementation, the final sound box curve and the maximum sound pressure level are sound box parameters obtained by performing analog tuning on a sound box to be tuned. Therefore, the final sound box curve and the maximum sound pressure level are used as references to tune the sound box to be tuned, and negative effects caused by large influences of artificial subjective factors due to the fact that the sound box to be tuned is tuned in a subjective sound listening blind tuning mode in the prior art are avoided.
Further, in this embodiment, in order to accurately obtain the initial speaker curve corresponding to the speaker to be tuned, before the step S10, the method may further include:
step S01: and acquiring an original sound box curve corresponding to the sound box to be tuned and a target sound box curve corresponding to the prototype sound box.
It should be noted that the original sound box curve is a sound box curve corresponding to the sound box to be tuned when the sound box to be tuned is not subjected to any tuning operation, and the original sound box curve includes an EQ (equalizer) parameter, where the EQ parameter is used to control decibel output magnitudes corresponding to different audio frequency bands of the sound box to be tuned. The target sound box curve is the sound box curve corresponding to the prototype sound box, and the target sound box curve also contains EQ parameters.
In a specific implementation, the original sound box curve and the target sound box curve may be obtained by establishing a data transmission channel between the analog device and the sound box to be tuned and the prototype sound box, or by accessing a removable memory to the sound box to be tuned and the prototype sound box, and copying the original sound box curve and the target sound box curve to the analog device through the removable memory, where the embodiment does not limit a manner of obtaining the original sound box curve corresponding to the sound box to be tuned and the target sound box curve corresponding to the prototype sound box.
Step S02: and acquiring a difference curve of the original sound box curve and the target sound box curve, and determining an initial sound box curve according to the difference curve.
It should be understood that the difference curve is a curve obtained based on the difference between the EQ parameters corresponding to the original speaker curve and the target speaker curve.
In a specific implementation, the F0, gain, and Q values of each EQ point in the sound box to be tuned may be constructed according to the difference curve to determine an initial sound box curve.
In the embodiment, a simulated sound box curve is obtained based on the initial sound box curve and the target sound box curve, and the target sound box curve is a sound box curve corresponding to the prototype sound box; AGL adjustment is carried out on the simulated sound box curve to obtain a final sound box curve; combining the final sound box curve with a Pink power spectrum to obtain a maximum sound pressure level; and tuning the sound box to be tuned based on the final sound box curve and the maximum sound pressure level. Compared with the prior art, the tuning operation of the to-be-tuned sound box is completed by adjusting the EQ parameters (namely the equalizer parameters of the sound box) and the DRC parameters (namely the dynamic compression parameters of the sound box) in a subjective tuning blind tuning mode, the method of the embodiment carries out simulated tuning based on the sound box curves and other parameters respectively corresponding to the to-be-tuned sound box and the prototype sound box, and obtains the final sound box curve and the maximum sound pressure level based on the simulated tuning result, and reversely deduces the debugging parameters of the to-be-tuned sound box, so that the problems that the tuning process of to-be-tuned equipment in the prior art is long in time consumption and is greatly influenced by artificial subjective factors are avoided, the actual debugging parameters can be quickly and accurately determined based on the obtained simulated debugging parameters, and the sound box is subjected to tuning according to the actual debugging parameters.
Referring to fig. 3, fig. 3 is a schematic flow chart of a sound box tuning simulation method according to a second embodiment of the present invention.
Based on the first embodiment, in this embodiment, in order to accurately obtain the speaker curve corresponding to the closest target prototype speaker, the step S10 may include:
step S101: and fitting the initial sound box curve by using the target sound box curve as a reference through a least square method to obtain a fitted sound box curve.
It should be noted that the least square method (also called the least squares method) is a mathematical optimization technique. It finds the best functional match of the data by minimizing the sum of the squares of the errors. Unknown data can be easily obtained by the least square method, and the sum of squares of errors between these obtained data and actual data is minimized. In this embodiment, the initial speaker curve may be fitted by a straight line fitting characteristic of a least square method, so as to obtain a fitted speaker curve.
In a specific implementation, the EQ parameter corresponding to the target speaker curve may be used as a reference, and the EQ parameter corresponding to the initial speaker curve may be continuously adjusted, so as to obtain a fitted speaker curve closest to the EQ parameter in the target speaker curve.
Step S102: and performing DRC simulation on the fitted sound box curve based on the target DRC parameters to obtain a simulated sound box curve.
It should be noted that, the DRC (Dynamic Range Control) parameter is an amplitude value used in the sound box to dynamically adjust the audio output of the sound box, and suppresses the sound volume within a certain preset Range when the sound volume is large, and appropriately increases the sound volume when the sound volume is small. DRC parameters are typically used to control the audio output power so that the speakers of the enclosure do not break and the audio is clearly heard when played at low volume. The target DRC parameters are corresponding DRC parameters in the prototype sound box.
In a specific implementation, a preset curve may be designed, and the input audio amplitude value x1 is mapped through the preset curve to obtain another audio amplitude value x2. And then calculating the difference value between the x1 and the x2 to obtain a gain value g, so as to obtain the analog sound box curve according to the gain value g.
Further, in this embodiment, in order to accurately obtain a simulated speaker curve close to the target DRC parameter corresponding curve, the step S102 may include:
step S1021: and acquiring input interface parameters in the target DRC parameters, wherein the input interface parameters comprise gain, threshold and frequency dividing points corresponding to the target DRC parameters.
It should be noted that, the gain corresponding to the DRC parameter is used to reflect the rate of the DRC simulation, and usually attach is used to represent the periodic coefficient from the beginning of the small gain in the DRC simulation to the beginning of the stabilization, and release is used to represent the periodic coefficient from the beginning of the gain in the DRC simulation to the stabilization; the DRC parameter corresponds to a threshold (threshold) typically in decibels, and if the amplitude of the compressor in the loudspeaker exceeds a certain threshold, the compressor will reduce its level.
In a specific implementation, all data included in the DRC parameters may be integrated into a data table, and input interface parameters in the DRC parameters, that is, gains, thresholds and frequency dividing points corresponding to the target DRC parameters, may be extracted from the data table through keyword search.
Step S1022: and performing DRC simulation on the fitted sound box curve based on the input interface parameters to obtain a simulated sound box curve.
In a specific implementation, when the audio signal output by the sound box to be debugged is within a preset range, the system outputs the audio signal according to the original setting. However, when the output audio signal exceeds a preset range, the amplitude of the output signal may be compressed to be within a range according to the DRC parameter adjustment in order to protect the speaker. Because the output audio signal exceeds the preset range and causes peak clipping, thereby causing audio distortion and damaging the loudspeaker, the audio signal output of the sound box to be debugged needs to be limited within a certain range by adjusting the DRC parameters, thereby obtaining the above-mentioned simulated sound box curve.
In the embodiment, a target sound box curve is taken as a reference, and an initial sound box curve is fitted through a least square method to obtain a fitted sound box curve; and performing DRC simulation on the fitted sound box curve based on the target DRC parameters to obtain a simulated sound box curve. Acquiring input interface parameters in the target DRC parameters, wherein the input interface parameters comprise gain, threshold and frequency dividing points corresponding to the target DRC parameters; and performing DRC simulation on the fitted sound box curve based on the input interface parameters to obtain a simulated sound box curve. Compared with the prior art in which the DRC parameters are adjusted through artificial subjective feeling, in the method of the embodiment, DRC simulation is performed based on the difference between the DRC parameters of the sound box to be tuned and the sample sound box, so that the input audio of the sound box to be tuned can be accurately and dynamically adjusted, and a simulated sound box curve is obtained.
Referring to fig. 4, fig. 4 is a schematic flow chart of a sound box tuning simulation method according to a third embodiment of the present invention.
Based on the foregoing embodiments, in this embodiment, in order to accurately obtain a final speaker curve corresponding to the speaker to be tuned in the simulated tuning process, the step S20 may include:
step S201: and performing AGL adjustment on the simulated sound box curve according to the target power output.
It should be noted that the target power output is the power output corresponding to the prototype sound box.
It will be appreciated that the target power output described above determines the maximum sound intensity that can be emitted by the prototype enclosure. According to international standards, there are two methods for marking the power output of a sound box: rated power (RMS: sine wave root mean square) and instantaneous peak power (PMPO power). The former is the maximum electric power that drives an 8 omega speaker in a rated range to stipulate a waveform continuous analog signal, and the speaker is not damaged at any time after a certain interval and repeated for a certain number of times; the latter refers to the maximum power that the speaker can withstand for a short time.
Step S202: and limiting the power output of the simulated sound box curve based on the adjustment result to obtain a final sound box curve.
In a specific implementation, the power of the sound box is not as large as possible, but needs to be comprehensively considered according to a specific use scene. Therefore, in this embodiment, the power output of the loudspeaker box curve corresponding to the prototype loudspeaker box can be used as a reference to limit the power output of the simulated loudspeaker box curve corresponding to the sound box to be tuned, so that the power output of the simulated loudspeaker box curve corresponding to the sound box to be tuned is close to or identical to the power output of the loudspeaker box curve corresponding to the prototype loudspeaker box, and a final loudspeaker box curve is obtained.
Based on the foregoing embodiments, in this embodiment, in order to accurately obtain the maximum sound pressure level corresponding to the sound box to be tuned in the simulated tuning process, the step S30 may include:
step S301: and determining the final loudspeaker box curve energy corresponding to the final loudspeaker box curve and the sink power spectrum energy corresponding to the sink power spectrum through a PowerSum algorithm.
It should be noted that the PowerSum algorithm is a power superposition algorithm. The PowerSum algorithm comprises the following specific steps: and respectively squaring the power energy corresponding to all data points in the input curve, accumulating the results after all the squarings, and finally squaring the accumulated result to obtain the output result of the PowerSum algorithm. The Pink power spectrum is a power spectrum with the power spectral density inversely proportional to the frequency band, and the intensity of each corresponding multiple wave path is equal. And the sink power spectrum is arranged in the simulation equipment so as to be quickly called in the actual simulation tuning process, thereby reducing the waiting time and improving the tuning efficiency.
Step S302: and acquiring a sum of the superposed energy based on the final sound box curve energy and the Pink power spectrum energy, and acquiring a maximum sound pressure level based on the sum of the superposed energy.
In the specific implementation, the final loudspeaker box curve energy and the Pink power spectrum energy can be respectively squared through a PowerSum algorithm, all squared results are accumulated to obtain a sum of superposed energy, and finally the sum of the superposed energy and the square opening is carried out to obtain an output result of the PowerSum algorithm, namely the maximum sound pressure level.
Based on the foregoing embodiments, in this embodiment, in order to accurately obtain the simulation debugging data of the sound box to be tuned, and further tune the sound box to be tuned with the simulation debugging data as a reference, the step S40 may include:
step S401: and obtaining simulated debugging data of the sound box to be tuned based on the final sound box curve and the maximum sound pressure level.
It should be noted that the simulation debugging data is data obtained by converting an initial sound box curve corresponding to the sound box to be tuned into the final sound box curve and the maximum sound pressure level through a series of simulation processes in the above embodiment, and then performing back-stepping based on the final sound box curve and the maximum sound pressure level.
Step S402: and comparing the simulation debugging data with the actual debugging data of the sound box to be tuned, and tuning the sound box to be tuned based on a comparison result.
In specific implementation, the simulated debugging data and the actual debugging data of the sound box to be tuned can be compared, and the EQ parameters (which can be used for adjusting the flatness of the curve of the sound box, and the higher the flatness, the better the playback effect of the corresponding sound box on different audio signals), the DRC parameters (which can be used for adjusting the bandwidth of the sound box, the wider the bandwidth of the sound box, the more complete the sound of each frequency band and the generated overtone, the more perfect the timbre), the maximum sound pressure level (which can be used for adjusting the level of the maximum sound which can be emitted by the sound box), and other sound box parameters of the sound box to be tuned are determined based on the comparison result, so that the sound box to be tuned is tuned according to the sound box parameters, and the problems of slower tuning efficiency and poorer effect caused by artificial blind tuning in the prior art are solved.
The method carries out AGL adjustment on the analog sound box curve according to the target power output; and limiting the power output of the analog sound box curve based on the adjustment result to obtain a final sound box curve. Determining final loudspeaker box curve energy corresponding to the final loudspeaker box curve and sink power spectrum energy corresponding to the sink power spectrum through a PowerSum algorithm; and obtaining a superposition energy sum based on the final sound box curve energy and the Pink power spectrum energy, and obtaining a maximum sound pressure level based on the superposition energy sum. Obtaining simulated debugging data of the sound box to be tuned based on the final sound box curve and the maximum sound pressure level; and comparing the simulation debugging data with the actual debugging data of the sound box to be tuned, and tuning the sound box to be tuned based on the comparison result. Compared with the prior art that the sound box to be tuned is tuned according to artificial subjective multiple blind tuning, the method of the embodiment obtains the final sound box curve by performing AGL adjustment on the simulated sound box curve, then obtains the maximum sound pressure level based on the final sound box curve, and obtains the simulated tuning parameters based on the final sound box curve and the maximum sound pressure level, so that the problem that the tuning efficiency is slow due to multiple artificial blind tuning in the prior art is avoided, the simulated tuning parameters can be quickly and accurately obtained, and the sound box to be tuned is tuned according to the simulated tuning parameters.
In addition, an embodiment of the present invention further provides a storage medium, where a sound box tuning simulation program is stored on the storage medium, and the sound box tuning simulation program, when executed by a processor, implements the steps of the sound box tuning simulation method described above.
Referring to fig. 5, fig. 5 is a block diagram illustrating a structure of a first embodiment of a tuning simulator for a sound box according to the present invention.
As shown in fig. 5, the sound box tuning simulation apparatus according to the embodiment of the present invention includes:
the first calculating module 501 is configured to obtain a simulated sound box curve based on the initial sound box curve and a target sound box curve, where the target sound box curve is a sound box curve corresponding to a prototype sound box;
a curve adjusting module 502, configured to perform AGL adjustment on the simulated speaker curve to obtain a final speaker curve;
a second calculating module 503, configured to combine the final loudspeaker box curve with a Pink power spectrum to obtain a maximum sound pressure level;
and the data processing module 504 is configured to determine debugging data based on the final sound box curve and the maximum sound pressure level, and tune the sound box to be tuned based on the debugging data.
In the embodiment, a simulated sound box curve is obtained based on the initial sound box curve and the target sound box curve, and the target sound box curve is a sound box curve corresponding to the prototype sound box; AGL adjustment is carried out on the simulated sound box curve to obtain a final sound box curve; combining the final sound box curve with a Pink power spectrum to obtain a maximum sound pressure level; and tuning the sound box to be tuned based on the final sound box curve and the maximum sound pressure level. Compared with the prior art, the tuning operation of the sound box to be tuned is completed by adjusting the EQ parameters (namely the equalizer parameters of the sound box) and the DRC parameters (namely the dynamic compression parameters of the sound box) in a subjective sound listening blind tuning mode, the method of the embodiment simulates tuning based on the sound box curves and other parameters respectively corresponding to the sound box to be tuned and a prototype sound box, and obtains the final sound box curve and the maximum sound pressure level based on the result of simulated tuning, and reversely deduces the debugging parameters of the sound box to be tuned, so that the problems that the tuning process of the sound equipment to be tuned consumes a long time and is greatly influenced by artificial subjective factors in the prior art are avoided, the actual debugging parameters can be rapidly and accurately determined based on the obtained simulated debugging parameters, and the sound box to be tuned is subjected to the actual debugging according to the actual debugging parameters.
Other embodiments or specific implementation manners of the sound box tuning simulation device of the present invention may refer to the above method embodiments, and are not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of other like elements in a process, method, article, or system comprising the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., a rom/ram, a magnetic disk, an optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A sound box tuning simulation method is characterized by comprising the following steps:
obtaining a simulated sound box curve based on the initial sound box curve and the target sound box curve, wherein the target sound box curve is a sound box curve corresponding to the prototype sound box;
AGL adjustment is carried out on the simulated sound box curve to obtain a final sound box curve;
combining the final sound box curve with a Pink power spectrum to obtain a maximum sound pressure level;
and tuning the sound box to be tuned based on the final sound box curve and the maximum sound pressure level.
2. The method for sound box tuning simulation of claim 1, wherein the obtaining of the simulated sound box curve based on the initial sound box curve and the target sound box curve is before the sound box curve corresponding to the prototype sound box, further comprises:
acquiring an original sound box curve corresponding to a sound box to be tuned and a target sound box curve corresponding to a prototype sound box;
and acquiring a difference curve of the original sound box curve and the target sound box curve, and determining an initial sound box curve according to the difference curve.
3. The method for sound box tuning simulation of claim 1, wherein the obtaining a simulated sound box curve based on the initial sound box curve and the target sound box curve comprises:
fitting the initial sound box curve by using a target sound box curve as a reference through a least square method to obtain a fitted sound box curve;
and performing DRC simulation on the fitted sound box curve based on the target DRC parameters to obtain a simulated sound box curve.
4. The loudspeaker tuning simulation method of claim 3, wherein the performing DRC simulation on the fitted loudspeaker curve based on the target DRC parameters to obtain a simulated loudspeaker curve comprises:
acquiring input interface parameters in target DRC parameters, wherein the input interface parameters comprise gains, thresholds and frequency dividing points corresponding to the target DRC parameters;
and performing DRC simulation on the fitted sound box curve based on the input interface parameters to obtain a simulated sound box curve.
5. The method for simulating tuning of a loudspeaker according to claim 1, wherein the AGL adjustment of the simulated loudspeaker curve to obtain a final loudspeaker curve comprises:
performing AGL adjustment on the simulated sound box curve according to the target power output;
and limiting the power output of the simulated sound box curve based on the adjustment result to obtain a final sound box curve.
6. The method of claim 1, wherein said combining the final speaker curve with a Pink power spectrum to obtain a maximum sound pressure level comprises:
determining final loudspeaker box curve energy corresponding to the final loudspeaker box curve and sink power spectrum energy corresponding to the sink power spectrum through a PowerSum algorithm;
and acquiring a sum of the superposed energy based on the final sound box curve energy and the Pink power spectrum energy, and acquiring a maximum sound pressure level based on the sum of the superposed energy.
7. The method of claim 1, wherein tuning the sound box to be tuned based on the final sound box curve and the maximum sound pressure level comprises:
obtaining simulated debugging data of the sound box to be tuned based on the final sound box curve and the maximum sound pressure level;
and comparing the simulation debugging data with the actual debugging data of the sound box to be tuned, and tuning the sound box to be tuned based on a comparison result.
8. The utility model provides a sound box tuning analogue means which characterized in that, sound box tuning analogue means includes:
the first calculation module is used for obtaining a simulated sound box curve based on the initial sound box curve and the target sound box curve, and the target sound box curve is a sound box curve corresponding to the prototype sound box;
the curve adjusting module is used for carrying out AGL adjustment on the simulated sound box curve to obtain a final sound box curve;
the second calculation module is used for combining the final sound box curve with the Pink power spectrum to obtain the maximum sound pressure level;
and the data processing module is used for determining debugging data based on the final sound box curve and the maximum sound pressure level and tuning the sound box to be tuned based on the debugging data.
9. A sound box tuning simulation device, the device comprising: a memory, a processor and a sound box tuning simulation program stored on the memory and executable on the processor, the sound box tuning simulation program being configured to implement the steps of the sound box tuning simulation method according to any one of claims 1 to 7.
10. A storage medium having a sound box tuning simulation program stored thereon, the sound box tuning simulation program when executed by a processor implementing the steps of the sound box tuning simulation method according to any one of claims 1 to 7.
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