Low-frequency switching method and system for a moving coil pickup

Abstract

The present invention relates to the technical field of pickup regulation, and a low-frequency switching method and system for a dynamic microphone, including: receiving acoustic wave signals by using a target microphone to obtain an original acoustic wave signal set, cutting the original acoustic wave signal set to obtain a set of cut acoustic wave signal groups, analyzing the signals of the cut acoustic wave signal groups to obtain the cut signal energy and the cut signal frequency, using the cut signal frequency groups and the cut signal energy groups to conduct an analysis of environmental acoustic wave interference to obtain an acoustic wave interference factor, and if the acoustic wave interference factor is greater than the standard interference factor, using a low-frequency filtering device to perform low-frequency switching on the target microphone to obtain a switched microphone. The present invention can improve the quality of the acoustic wave signals received by the dynamic microphone and enhance the environmental adaptability of the dynamic microphone.

Description

Technical Field

[0001] The present invention relates to the technical field of pickup regulation, and particularly to a low-frequency switching method and system for a dynamic microphone. Background Art

[0002] A dynamic microphone is a device widely used in the field of audio acquisition. Due to its advantages such as simple structure, low cost, and stable performance, it plays a key role in many scenarios such as music recording, live sound reinforcement, and broadcast systems, and is an important tool for obtaining audio signals.

[0003] Current dynamic microphones mainly consist of a mechanical diaphragm, an enameled coil, and a permanent magnet. Such dynamic microphones do not integrate a low-frequency sound wave filtering device. Therefore, when the working environment is relatively noisy, the quality of the received sound wave signals is low, and the low-frequency sound waves in the environment cannot be filtered in time, resulting in poor environmental adaptability of such dynamic microphones. Summary of the Invention

[0004] The present invention provides a low-frequency switching method and system for a dynamic microphone, and its main purpose is to improve the quality of the sound wave signals received by the dynamic microphone and enhance the environmental adaptability of the dynamic microphone.

[0005] To achieve the above object, a low-frequency switching method for a dynamic microphone provided by the present invention includes:

[0006] Receiving a low-frequency switching instruction, and determining a target microphone based on the low-frequency switching instruction, wherein the target microphone includes a low-frequency filtering device;

[0007] According to a preset sound wave analysis duration, and using the target microphone to receive sound wave signals, to obtain an original sound wave signal set, wherein the original sound wave signals in the original sound wave signal set are arranged in chronological order from first to last, and the target microphone is a dynamic microphone;

[0008] Based on a preset number of signal cuts, cutting the original sound wave signal set to obtain a set of cut sound wave signal groups, wherein the number of cut sound wave signal groups in the set of cut sound wave signal groups is the same as the number of signal cuts;

[0009] Sequentially extracting cut sound wave signal groups from the set of cut sound wave signal groups, and performing signal analysis on the cut sound wave signal groups to obtain cut signal energy and cut signal frequency;

[0010] Respectively summarizing the cut signal frequencies and cut signal energies of each cut sound wave signal group to obtain a cut signal frequency group and a cut signal energy group;

[0011] Using the cutting signal frequency group and the cutting signal energy group, perform ambient acoustic interference analysis to obtain an acoustic interference factor;

[0012] If it is confirmed that the acoustic interference factor is greater than a preset standard interference factor, then use the low-frequency filtering device to perform low-frequency switching on the target pickup to obtain a switched pickup, where the low-frequency filtering device includes: a cylindrical cavity, an open-hole disc, a connecting chassis, and tuning paper;

[0013] Based on the switched pickup, complete the low-frequency switching of the moving coil pickup.

[0014] Optionally, the performing signal analysis on the cutting acoustic signal group to obtain the cutting signal energy and the cutting signal frequency includes:

[0015] Identify the signal amplitude of each cutting acoustic signal in the cutting acoustic signal group to obtain a signal amplitude group, where the signal amplitude is a current value;

[0016] Based on the signal amplitude group, calculate the cutting signal energy using the following formula:

[0017]

[0018] where, E g represents the cutting signal energy, m e represents the number of signal amplitudes in the signal amplitude group, I c represents the c-th signal amplitude in the signal amplitude group;

[0019] Perform frequency identification on the cutting acoustic signal group to obtain a signal frequency group, where the number of signal frequencies in the signal frequency group is the same as the number of cutting acoustic signals in the cutting acoustic signal group;

[0020] Based on the signal frequency group, calculate the cutting signal frequency.

[0021] Optionally, the identifying the cutting signal frequency based on the signal frequency group includes:

[0022] Based on the signal frequency group, identify a central signal frequency group;

[0023] Using the central signal frequency group, perform frequency classification on the signal frequency group to obtain an average classification frequency group and a classification frequency array, where one central signal frequency in the central signal frequency group corresponds to one average classification frequency in the average classification frequency group and one classification frequency number in the classification frequency array;

[0024] Based on the average classification frequency group and the classification frequency array, calculate the cutting signal frequency using the following formula:

[0025]

[0026] Among them, f g represents the cutting signal frequency, and m f represents the number of average classification frequencies in the average classification frequency group or the number of classification frequencies in the classification frequency array, represents the u1-th classification frequency number in the classification frequency array, represents the u1-th average classification frequency in the average classification frequency group, represents the u2-th classification frequency number in the classification frequency array.

[0027] Optionally, the identifying the central signal frequency group based on the signal frequency group includes:

[0028] Successively extracting the signal frequencies to be identified in the signal frequency group, and calculating the deviation value to be identified of the signal frequency to be identified, where the deviation value to be identified is expressed as:

[0029]

[0030] Among them, P represents the deviation value to be identified, and f d represents the signal frequency to be identified, f k represents the k-th signal frequency in the signal frequency group, and n represents the number of signal frequencies in the signal frequency group;

[0031] Summarize the deviation values to be identified to obtain a group of deviation values to be identified, and identify the central deviation value group in the group of deviation values to be identified based on the preset number of classification centers, where the number of central deviation values in the central deviation value group is the same as the number of classification centers;

[0032] Identify the central signal frequency group corresponding to the central deviation value group in the signal frequency group.

[0033] Optionally, the frequency-classifying the signal frequency group by using the central signal frequency group to obtain an average classification frequency group and a classification frequency array includes:

[0034] Successively extracting the central signal frequencies in the central signal frequency group;

[0035] Calculating the central frequency difference between each signal frequency in the signal frequency group and the central signal frequency to obtain a group of central frequency differences;

[0036] Using the preset minimum frequency difference to screen the group of central frequency differences to obtain a group of frequency differences to be classified, and identifying the group of signal frequencies to be classified corresponding to the group of frequency differences to be classified in the signal frequency group, and summarizing the central signal frequency and the group of signal frequencies to be classified to obtain a group of classified signal frequencies;

[0037] Calculate the average classification frequency in the classification signal frequency group, and count the number of classification frequencies in the classification signal frequency group;

[0038] Aggregate the average classification frequency and the number of classification frequencies corresponding to each center signal frequency respectively, to obtain an average classification frequency group and a classification frequency number array.

[0039] Optionally, using the cutting signal frequency group and the cutting signal energy group to perform environmental acoustic wave interference analysis to obtain an acoustic wave interference factor, including:

[0040] Calculate the total cutting signal frequency of the cutting signal frequency group and the total cutting signal energy of the cutting signal energy group respectively;

[0041] Construct a frequency feature vector based on the total cutting signal frequency and the cutting signal frequency group, and construct an energy feature vector based on the total cutting signal energy and the cutting signal energy group, where the frequency feature vector and the energy feature vector are respectively expressed as:

[0042]

[0043] Wherein, represents the frequency feature vector, represents the first vector parameter in the frequency feature vector, represents the r1th vector parameter in the frequency feature vector, represents the m f th frequency feature vector, represents the r1th cutting signal frequency in the cutting signal frequency group, represents the total cutting signal frequency, represents the energy feature vector, represents the first vector parameter in the energy feature vector, represents the r2th vector parameter in the energy feature vector, represents the m e th energy feature vector, represents the r2th cutting signal energy in the cutting signal energy group, represents the total cutting signal energy;

[0044] Based on the frequency feature vector and the energy feature vector, perform environmental interference evaluation to obtain an environmental interference factor.

[0045] Optionally, the performing environmental interference evaluation based on the frequency feature vector and the energy feature vector to obtain an environmental interference factor includes:

[0046] Determine the working environment of the target pick-up, perform acoustic signal analysis on the working environment to obtain an environmental frequency vector and an environmental energy vector;

[0047] Calculate an environmental interference factor based on the frequency feature vector, energy feature vector, environmental frequency vector, and environmental energy vector, where the environmental interference factor is expressed as:

[0048]

[0049] where K represents the environmental interference factor, · represents the vector dot product symbol, represents the environmental frequency vector, represents the environmental energy vector, and |*| represents the vector norm symbol.

[0050] Optionally, before using the low-frequency filtering device to perform low-frequency switching on the target pickup to obtain a switched pickup, the method further includes:

[0051] Obtain a cylindrical cavity and confirm the bottom area of the cylindrical cavity, where the cylindrical cavity includes an open bottom surface and a closed bottom surface;

[0052] Calculate a first opening area based on the bottom area and a preset small hole area ratio, where the first opening area is the product of the bottom area and the small hole area ratio;

[0053] Determine a second opening area and a third opening area based on the bottom area, where both the second opening area and the third opening area are the same as the bottom area;

[0054] Perform opening cutting on a pre-constructed metal disc according to the first opening area, second opening area, and third opening area to obtain an opening disc, where the opening disc includes a first disc opening, a second disc opening, and a third disc opening, and the areas of the first disc opening, second disc opening, and third disc opening are the first opening area, second opening area, and third opening area respectively, and a metal handle is provided at the edge of the opening disc;

[0055] Obtain a connection chassis according to the opening disc, where the area and shape of the connection chassis are the same as those of the opening disc, and the connection chassis includes a first chassis opening and a second chassis opening, and the areas of the first chassis opening and the second chassis opening are the first opening area and the second opening area respectively, and the positions of the first chassis opening and the second chassis opening in the connection chassis are the same as the positions of the first disc opening and the second disc opening in the opening disc respectively;

[0056] Cover the openings of the third disc in the perforated disc with tuning paper to obtain third tuned openings. Connect the cylindrical cavity, the perforated disc, and the connecting chassis to obtain a low-frequency filtering device. Among them, the open bottom surface of the cylindrical cavity is connected to the bottom surface of the connecting chassis, and the other bottom surface of the connecting chassis is connected to the perforated disc.

[0057] Optionally, using the low-frequency filtering device to perform low-frequency switching on the target pickup to obtain a switched pickup, including:

[0058] Confirm the acoustic working state of the target pickup. Among them, the acoustic working state includes: normal working state and low-frequency filtering state. In the normal working state, the third tuned opening coincides with the second chassis opening. In the low-frequency filtering state, the first disc opening and the second disc opening coincide with the first chassis opening and the second chassis opening respectively, and the coincidence means that the two openings are in contact with each other and the central axes are aligned;

[0059] If the target pickup is in the normal working state, use the metal handle of the perforated disc to rotate the perforated disc until the first disc opening and the second disc opening in the perforated disc coincide with the first chassis opening and the second chassis opening in the connecting chassis respectively, and record the target pickup at this time as the switched pickup;

[0060] If the target pickup is in the low-frequency filtering state, record the target pickup as the switched pickup.

[0061] To achieve the above object, the present invention also provides a low-frequency switching system for a moving coil pickup, including:

[0062] An original acoustic wave acquisition module, configured to receive a low-frequency switching instruction, determine a target pickup based on the low-frequency switching instruction. Among them, the target pickup includes a low-frequency filtering device. According to a preset acoustic wave analysis duration, and use the target pickup to receive acoustic wave signals to obtain an original acoustic wave signal set. Among them, the original acoustic wave signals in the original acoustic wave signal set are arranged in chronological order from first to last, and the target pickup is a moving coil pickup;

[0063] An acoustic wave signal cutting module, configured to cut the original acoustic wave signal set based on a preset number of signal cuts to obtain a set of cut acoustic wave signal groups. Among them, the number of cut acoustic wave signal groups in the set of cut acoustic wave signal groups is the same as the number of signal cuts. Sequentially extract cut acoustic wave signal groups from the set of cut acoustic wave signal groups, and perform signal analysis on the cut acoustic wave signal groups to obtain cut signal energy and cut signal frequency;

[0064] An interference factor calculation module is configured to respectively summarize the cutting signal frequencies and cutting signal energies of each of the cutting acoustic signal groups to obtain a cutting signal frequency group and a cutting signal energy group, and perform environmental acoustic interference analysis using the cutting signal frequency group and the cutting signal energy group to obtain an acoustic interference factor;

[0065] A low-frequency acoustic wave filtering module is configured to, if it is confirmed that the acoustic interference factor is greater than a preset standard interference factor, use the low-frequency filtering device to perform low-frequency switching on the target pickup to obtain a switched pickup, where the low-frequency filtering device includes: a cylindrical cavity, an opening disk, a connecting chassis, and tuning paper.

[0066] To solve the above problems, the present invention also provides an electronic device, which includes:

[0067] A memory that stores at least one instruction;

[0068] A processor that executes the instructions stored in the memory to implement the low-frequency switching method of the moving coil pickup described above.

[0069] To solve the above problems, the present invention also provides a computer-readable storage medium that stores at least one instruction, and the at least one instruction is executed by a processor in an electronic device to implement the low-frequency switching method of the moving coil pickup described above.

[0070] To solve the problems described in the background art, the present invention first analyzes the duration of sound waves and uses a target pickup to receive sound wave signals, obtaining an original sound wave signal set. This step acquires comprehensive and continuous original sound wave data, providing sufficient and complete basic data for subsequent in-depth analysis of sound wave signals. Then, based on the signal cutting number, the original sound wave signal set is cut to obtain a set of cut sound wave signal groups. The original sound wave signal set is cut into multiple cut sound wave signal groups, and each cut sound wave signal group contains sound wave information within a specific time period. By separately analyzing the sound waves within these time periods, the changes in sound waves at different time periods can be observed more clearly, improving the accuracy of subsequent sound wave feature extraction. Next, signal analysis is performed on the cut sound wave signal groups to obtain the cut signal energy and cut signal frequency. Through signal analysis, the signal energy and signal frequency of each cut sound wave signal group can be obtained, providing a key parameter basis for subsequent interference analysis of sound wave signals. Further, using the cut signal frequency group and cut signal energy group, environmental sound wave interference analysis is carried out to obtain a sound wave interference factor. This step comprehensively considers the frequency and energy characteristics of sound wave signals, more comprehensively and accurately evaluates the degree of environmental interference received by sound wave signals, and by obtaining this quantitative index of the sound wave interference factor, it provides a clear and objective basis for judging whether the sound wave signal is severely interfered and whether subsequent low-frequency switching and other operations are required. If the sound wave interference factor is greater than the standard interference factor, a low-frequency filtering device is used to perform low-frequency switching on the target pickup to obtain a switched pickup. By switching the pickup, the working state of the target pickup is optimized and adjusted, enabling it to receive and process sound wave signals within a more ideal frequency range, improving the quality and accuracy of the sound wave signal received by the target pickup, enhancing the working performance of the pickup in an interference environment. At the same time, the construction of the low-frequency filtering device also makes up for the defect that the moving coil pickup cannot filter sound waves in the low-frequency band in real time, further enhancing the environmental adaptability of the moving coil pickup. Therefore, the present invention can improve the quality of sound wave signals received by the moving coil pickup and enhance the environmental adaptability of the moving coil pickup. Description of the Drawings

[0071] Figure 1 It is a schematic flowchart of the low-frequency switching method for a moving coil pickup provided by an embodiment of the present invention;

[0072] Figure 2 It is a functional module diagram of the low-frequency switching system for a moving coil pickup provided by an embodiment of the present invention;

[0073] Figure 3 It is a schematic structural diagram of an electronic device for implementing the low-frequency switching method of the moving coil pickup provided by an embodiment of the present invention.

[0074] Description of the Reference Numerals:

[0075] 1. Electronic device; 10. Processor; 11. Memory; 12. Bus.

[0076] The realization, functional features and advantages of the present invention will be further described with reference to the embodiments and the accompanying drawings. Specific embodiments

[0077] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0078] The embodiment of the present application provides a low - frequency switching method for a moving - coil pick - up. The execution subject of the low - frequency switching method for the moving - coil pick - up includes, but is not limited to, at least one of electronic devices such as a server, a terminal, etc. that can be configured to execute the method provided in the embodiment of the present application. In other words, the low - frequency switching method for the moving - coil pick - up can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes, but is not limited to: a single server, a server cluster, a cloud server, or a cloud server cluster, etc.

[0079] Refer to Figure 1 As shown, it is a flowchart of the low - frequency switching method for a moving - coil pick - up provided by an embodiment of the present invention. In this embodiment, the low - frequency switching method for the moving - coil pick - up includes:

[0080] S1. Receive a low - frequency switching instruction, and determine a target pick - up based on the low - frequency switching instruction, where the target pick - up includes a low - frequency filtering device.

[0081] It can be understood that the low - frequency switching instruction refers to an instruction initiated manually for switching the pick - up, and this low - frequency switching instruction includes information such as the model of the pick - up to be switched. The target pick - up refers to the pick - up determined in the low - frequency switching instruction.

[0082] It is understandable that, in addition to the low-frequency filtering device, the target pickup further includes: a mechanical diaphragm, an enameled coil, and a permanent magnet. The mechanical diaphragm refers to the component in the target pickup for capturing sound vibrations. It is made of a material with good elasticity, light weight, and appropriate rigidity, such as polyester film, polycarbonate, etc. The shape of the mechanical diaphragm is circular, and its size varies according to the design requirements of the pickup. When sound waves reach the pickup, the mechanical diaphragm vibrates with the pressure change of the sound waves, and the vibration amplitude and frequency of the mechanical diaphragm correspond to the amplitude and frequency of the received sound waves. This vibration converts the mechanical energy of the sound waves into the mechanical vibration energy of the diaphragm, thereby achieving the initial capture of sound signals. The enameled coil refers to a coil wound with enameled wire. The diameter of the enameled wire is usually between 0.05 mm and 0.5 mm. The enameled coil is usually cylindrical in the target pickup, and the number of turns it is wound depends on the electro-acoustic parameter requirements of the target pickup. In the target pickup, the enameled coil is connected to the mechanical diaphragm. When the mechanical diaphragm vibrates, it drives the enameled coil to move in the magnetic field, thereby generating an induced current signal corresponding to the vibration of the mechanical diaphragm. The magnitude and variation law of this induced current signal are related to the vibration amplitude and frequency of the mechanical diaphragm, and thus related to the sound signal. The permanent magnet refers to a magnet made of a magnetic material that can maintain magnetism for a long time, such as neodymium iron boron, ferrite, etc. The permanent magnet can provide a magnetic field for the target pickup. The magnetic field it generates surrounds the enameled coil. For example, a ring-shaped permanent magnet can generate a uniform magnetic field space. When the enameled coil vibrates in this magnetic field space, it can effectively cut the magnetic induction lines, thereby generating an induced current. Moreover, the magnetic field intensity of the permanent magnet affects the magnitude of the induced electromotive force. The stronger the magnetic field, the stronger the induced current signal generated by the enameled coil under the same vibration conditions of the diaphragm.

[0083] It should be explained that the low-frequency filtering device refers to a device that can physically filter low-frequency sound waves in the received sound waves. The advantage of this low-frequency filtering device is that it can directly filter the sound waves received by the target pickup without the need to process the sound waves through relevant computer programs, ensuring the timeliness of low-frequency filtering. The detailed steps for constructing this low-frequency filtering device will be given later.

[0084] S2. According to the preset sound wave analysis duration, use the target pickup to receive sound wave signals to obtain an original sound wave signal set. Among them, the original sound wave signals in the original sound wave signal set are arranged in chronological order from the earliest to the latest, and the target pickup is a moving coil pickup.

[0085] It is understandable that the acoustic wave analysis duration refers to a duration constant set artificially for signal reception. The original acoustic wave signal set refers to the set of all original acoustic wave signals received by the target pickup within the acoustic wave analysis duration. These original acoustic wave signals include voice, environmental noise, and other sound signals, and these original acoustic wave signals are acoustic wave signals that have not undergone any processing and directly propagate from the sound source through the air to the target pickup. Among them, the sound source is, for example, the human vocal cords, musical instruments, environment, etc. Therefore, they contain all the original information of the sound, such as the frequency, amplitude, etc. of the sound.

[0086] It should be explained that the moving coil pickup refers to a pickup that works based on the principle of electromagnetic induction. Compared with other types of pickups, such as condenser pickups, etc., the moving coil pickup has the advantages of simple structure, low cost, stable performance, etc. Its frequency response range is relatively wide compared with other types of pickups, and it can capture sound signals from low frequency to high frequency. Moreover, due to its principle based on electromagnetic induction, it has strong adaptability to the environment and can maintain stable performance under different temperature, humidity and other conditions. This makes the moving coil pickup widely used in various application scenarios, such as microphones, some industrial noise monitoring equipment, etc.

[0087] S3. Cut the original acoustic wave signal set based on a preset number of signal cuts to obtain a set of cut acoustic wave signal groups, where the number of cut acoustic wave signal groups in the set of cut acoustic wave signal groups is the same as the number of signal cuts.

[0088] It is understandable that the number of signal cuts refers to a constant set artificially, which represents the number of cut acoustic wave signal groups in the set of cut acoustic wave signal groups. The set of cut acoustic wave signal groups refers to the set of multiple original acoustic wave signal groups obtained after cutting the original acoustic wave signal set. Among them, the detailed steps of the cutting are as follows: obtain the reception time range of the original acoustic wave signal set, and evenly cut the reception time range into multiple cut time ranges, where the number of cuts is the number of signal cuts. Then, identify the cut acoustic wave signals within each cut time range in the multiple cut time ranges to obtain the set of cut acoustic wave signal groups, where each cut acoustic wave signal group corresponds to a cut time range.

[0089] S4. Sequentially extract the cut acoustic wave signal groups from the set of cut acoustic wave signal groups, and perform signal analysis on the cut acoustic wave signal groups to obtain the cut signal energy and the cut signal frequency.

[0090] It should be explained that the cut signal energy refers to the sum of the energies of all cut acoustic wave signals in the cut acoustic wave signal group. The cut signal frequency refers to the signal frequency that can represent the frequency numerical characteristics of the cut acoustic wave signal group. The detailed calculation steps of the cut signal energy and the cut signal frequency will be given later.

[0091] Specifically, the signal analysis of the cutting acoustic wave signal group to obtain the cutting signal energy and the cutting signal frequency includes:

[0092] Identifying the signal amplitude of each cutting acoustic wave signal in the cutting acoustic wave signal group to obtain a signal amplitude group, where the signal amplitude is a current value;

[0093] Based on the signal amplitude group, calculating the cutting signal energy using the following formula:

[0094]

[0095] where E g represents the cutting signal energy, m e represents the number of signal amplitudes in the signal amplitude group, I c represents the c-th signal amplitude in the signal amplitude group;

[0096] Performing frequency identification on the cutting acoustic wave signal group to obtain a signal frequency group, where the number of signal frequencies in the signal frequency group is the same as the number of cutting acoustic wave signals in the cutting acoustic wave signal group;

[0097] Based on the signal frequency group, calculating the cutting signal frequency.

[0098] It can be understood that the signal amplitude refers to the current value corresponding to the cutting acoustic wave signal, the signal frequency group refers to the combination of the signal frequencies corresponding to each cutting acoustic wave signal in the cutting acoustic wave signal group, and the performing frequency identification refers to using the fast Fourier transform algorithm (FFT) to perform frequency identification on the cutting acoustic wave signal group. Among them, for a discrete-time signal sequence, that is, the cutting acoustic wave signal group, FFT can transform it from the time domain to the frequency domain, thereby realizing the frequency identification of the cutting acoustic wave signal group, and the fast Fourier transform algorithm is a prior art and will not be elaborated here.

[0099] Specifically, the identifying the cutting signal frequency based on the signal frequency group includes:

[0100] Based on the signal frequency group, identifying the central signal frequency group;

[0101] Using the central signal frequency group to perform frequency classification on the signal frequency group to obtain an average classification frequency group and a classification frequency array, where one central signal frequency in the central signal frequency group corresponds to one average classification frequency in the average classification frequency group and one classification frequency number in the classification frequency array;

[0102] Based on the average classification frequency group and the classification frequency array, calculating the cutting signal frequency using the following formula:

[0103]

[0104] Among them, f g represents the cutting signal frequency, m f represents the number of average classification frequencies in the average classification frequency group or the number of classification frequencies in the classification frequency array, represents the u1-th classification frequency number in the classification frequency array, represents the u1-th average classification frequency in the average classification frequency group, represents the u2-th classification frequency number in the classification frequency array.

[0105] It should be explained that the central signal frequency group refers to the combination of signal frequencies in the signal frequency group with the y smallest deviation degrees from the average value of all signal frequencies, where y represents the number of classification centers. The average classification frequency refers to the average frequency of the classified signal frequency group obtained by frequency classification of the signal frequency group, and the classification frequency array refers to the number of classified signal frequencies in the classified signal frequency group obtained by frequency classification. The detailed acquisition steps of the classified signal frequency group will be given later.

[0106] Specifically, the identification of the central signal frequency group based on the signal frequency group includes:

[0107] Sequentially extract the signal frequencies to be identified in the signal frequency group, and calculate the deviation value to be identified of the signal frequency to be identified, where the deviation value to be identified is expressed as:

[0108]

[0109] Among them, P represents the deviation value to be identified, f d represents the signal frequency to be identified, f k represents the k-th signal frequency in the signal frequency group, and n represents the number of signal frequencies in the signal frequency group;

[0110] Summarize the deviation values to be identified to obtain a group of deviation values to be identified, and identify the central deviation value group in the group of deviation values to be identified based on the preset number of classification centers, where the number of central deviation values in the central deviation value group is the same as the number of classification centers;

[0111] Identify the central signal frequency group corresponding to the central deviation value group in the signal frequency group.

[0112] It can be understood that the signal frequency to be identified refers to the signal frequency extracted in the signal frequency group, and the deviation value to be identified refers to the value used to represent the difference degree between the signal frequency to be identified and the average frequency of the signal frequency group. Its numerical form is expressed as: the difference between the square of the signal frequency to be identified and the average value of the squares of each signal frequency in the signal frequency group. The greater the difference degree between the signal frequency to be identified and the average frequency of the signal frequency group, the greater the deviation value to be identified.

[0113] It is clear that the classification center number refers to an artificially set constant, which is used to represent the number of center deviation values in the center deviation value group. The center deviation value group refers to a combination of deviation values to be identified that are the smallest in the deviation value group to be identified, wherein z represents the classification center number. In the step of identifying the center signal frequency group corresponding to the center deviation value group in the signal frequency group, the center signal frequency group is numerically represented as a combination of signal frequencies in the signal frequency group that correspond one-to-one to the center deviation values in the center deviation value group.

[0114] In detail, the central signal frequency group is used to perform frequency classification on the signal frequency group to obtain an average classification frequency group and a classification frequency array, including:

[0115] extracting the center signal frequencies in the center signal frequency group in sequence;

[0116] Calculating the center frequency difference between each signal frequency in the signal frequency group and the center signal frequency to obtain a center frequency difference group;

[0117] Using a preset minimum frequency difference, the center frequency difference group is screened to obtain a frequency difference group to be classified, and a signal frequency group to be classified corresponding to the frequency difference group to be classified is identified in the signal frequency group, and the center signal frequency is aggregated with the signal frequency group to be classified to obtain a classified signal frequency group;

[0118] Calculating the average classification frequency in the classification signal frequency group, and counting the number of classification frequencies in the classification signal frequency group;

[0119] The average classification frequency and the number of classification frequencies corresponding to each central signal frequency are summarized respectively to obtain the average classification frequency group and the classification frequency array.

[0120] It should be explained that the center frequency difference refers to the difference between the signal frequency and the center signal frequency. The minimum frequency difference refers to a constant set by humans, which is used to represent the maximum frequency difference in the frequency difference group to be classified. The frequency difference group to be classified refers to the combination of all center frequency differences that are less than or equal to the minimum frequency difference in the center frequency difference group. The signal frequency group to be classified refers to the combination of signal frequencies in the signal frequency group that correspond one-to-one to the frequency differences to be classified in the frequency difference group to be classified. The classified signal frequency group refers to the combination of the center signal frequency and the signal frequency group to be classified. Among them, the term "summarize" means to numerically combine the center signal frequency and all the signal frequencies to be classified in the signal frequency group to be classified. For example: the center signal frequency is A, and the signal frequency group to be classified is (B, C, D). After summarizing the center signal frequency and the signal frequency group to be classified, the classified signal frequency group obtained is (A, B, C, D). The average classified frequency refers to the average value of each classified signal frequency in the classified signal frequency group. The number of classified frequencies refers to the number of classified signal frequencies in the classified signal frequency group.

[0121] S5. Respectively summarize the cutting signal frequencies and cutting signal energies of each cutting acoustic wave signal group to obtain a cutting signal frequency group and a cutting signal energy group.

[0122] It can be understood that both the cutting signal frequency and the cutting signal energy come from a single cutting acoustic wave signal group. Therefore, it is necessary to summarize the cutting signal frequency and the cutting signal energy respectively to obtain a cutting signal frequency group and a cutting signal energy group.

[0123] S6. Use the cutting signal frequency group and the cutting signal energy group to perform environmental acoustic wave interference analysis to obtain an acoustic wave interference factor.

[0124] It can be understood that the acoustic wave interference factor refers to a value used to represent the degree of interference of environmental acoustic waves on the working acoustic waves received by the target pick-up. Among them, the working acoustic waves refer to the acoustic waves that need to be recorded in the current work. For example, when recording in a recording studio, the working acoustic waves can be human voices, instrument sounds, etc. The greater the degree of interference of environmental acoustic waves on the working acoustic waves received by the target pick-up, the greater the acoustic wave interference factor.

[0125] Specifically, the use of the cutting signal frequency group and the cutting signal energy group to perform environmental acoustic wave interference analysis to obtain an acoustic wave interference factor includes:

[0126] Respectively calculate the total cutting signal frequency of the cutting signal frequency group and the total cutting signal energy of the cutting signal energy group;

[0127] Construct a frequency feature vector based on the total cutting signal frequency and the cutting signal frequency group, and construct an energy feature vector based on the total cutting signal energy and the cutting signal energy group, where the frequency feature vector and the energy feature vector are respectively expressed as:

[0128]

[0129] Wherein, represents the frequency feature vector, represents the first vector parameter in the frequency feature vector, represents the r1-th vector parameter in the frequency feature vector, represents the m f -th frequency feature vector, represents the r1-th cutting signal frequency in the cutting signal frequency group, represents the total cutting signal frequency, represents the energy feature vector, represents the first vector parameter in the energy feature vector, represents the r2-th vector parameter in the energy feature vector, represents the m e -th energy feature vector, represents the r2-th cutting signal energy in the cutting signal energy group, represents the total cutting signal energy;

[0130] Based on the frequency feature vector and the energy feature vector, perform environmental interference assessment to obtain an environmental interference factor.

[0131] It should be explained that the total cutting signal frequency refers to the sum of all cutting signal frequencies in the cutting signal frequency group. The total cutting signal energy refers to the sum of all cutting signal energies in the cutting signal energy group. The frequency feature vector refers to a vector used to represent the signal frequency characteristics in the original acoustic wave signal set. Among them, each vector parameter in the frequency feature vector is numerically expressed as: the ratio between a certain cutting signal frequency in the cutting signal frequency group and the total cutting signal frequency. The energy feature vector refers to a vector used to represent the signal energy characteristics in the original acoustic wave signal set. Among them, each vector parameter in the energy feature vector is numerically expressed as: the ratio between a certain cutting signal energy in the cutting signal energy group and the total cutting signal energy.

[0132] Specifically, the performing environmental interference assessment based on the frequency feature vector and the energy feature vector to obtain an environmental interference factor includes:

[0133] Determine the working environment of the target pick-up, analyze the acoustic wave signal in the working environment to obtain an environmental frequency vector and an environmental energy vector;

[0134] Calculate an environmental interference factor based on the frequency feature vector, energy feature vector, environmental frequency vector, and environmental energy vector, where the environmental interference factor is expressed as:

[0135]

[0136] where K represents the environmental interference factor, · represents the vector dot product symbol, represents the environmental frequency vector, represents the environmental energy vector, and |*| represents the vector norm symbol.

[0137] It should be explained that the working environment refers to the current working environment of the target pick-up.

[0138] Exemplarily, Xiao Zhang is a staff member of a recording studio. One day, Xiao Zhang needs to record a song in the recording studio, then the recording studio can be used as the working environment at this time.

[0139] Furthermore, the environmental frequency vector refers to a vector used to represent the frequency characteristics of the environmental sound wave in the working environment without work, and the environmental energy vector refers to a vector used to represent the energy characteristics of the environmental sound wave in the working environment without work. The detailed steps for analyzing the sound wave signal of the working environment are as follows: According to the sound wave analysis duration, use the target pick-up to receive the sound wave signal of the working environment to obtain an environmental sound wave signal set, and then analyze the environmental sound wave signal set to obtain an environmental frequency vector and an environmental energy vector. Among them, the steps of analyzing the environmental sound wave signal set to obtain the environmental frequency vector and the environmental energy vector are the same as the steps of obtaining the frequency feature vector and the energy feature vector through the original sound wave signal set, which will not be elaborated here.

[0140] S7. If it is confirmed that the sound wave interference factor is greater than the preset standard interference factor, then use the low-frequency filtering device to perform low-frequency switching on the target pick-up to obtain a switched pick-up, where the low-frequency filtering device includes: a cylindrical cavity, an open-hole disc, a connecting chassis, and tuning paper.

[0141] It is understandable that the standard interference factor refers to a constant set artificially, which is used to represent the magnitude of the acoustic wave interference factor when the influence of the current environmental sound wave on the working sound wave reaches an uncontrollable level. The switched pickup refers to the target pickup after low-frequency switching. The cylindrical cavity refers to a hollow metal cylinder, where one end of the cylindrical cavity is open and the other end is closed, and there is a long strip-shaped opening on the side of the cylindrical cavity. The width and length of the opening are set artificially according to the target pickup of different signals, and a layer of tuning paper is covered inside the cylindrical cavity, and the position of the tuning paper in the cylindrical cavity is determined artificially. The perforated disc refers to a metal disc with multiple openings on its surface. The parameters such as the area and thickness of the perforated disc are determined by the target pickups of different sizes. The specific sizes of the openings in the perforated disc will be introduced in detail later. The connecting chassis refers to a metal disc used to connect the cylindrical cavity and the perforated disc, and the area of the connecting chassis is the same as that of the perforated disc. The tuning paper refers to an acoustic environment optimization material, and there are a large number of voids on the surface of the tuning paper, and these voids can absorb sounds within a certain frequency range, thereby reducing sound reflection and echo, and further enhancing the fidelity of the sound wave. For example, some specially treated paper sound-absorbing boards have a porous structure inside and can absorb sounds within a certain frequency range. The specific size of the voids on the surface of the tuning paper is set artificially according to the required sound state.

[0142] Specifically, before using the low-frequency filtering device to perform low-frequency switching on the target pickup to obtain the switched pickup, the method further includes:

[0143] Obtain a cylindrical cavity and confirm the bottom area of the cylindrical cavity, where the cylindrical cavity includes: an open bottom surface and a closed bottom surface;

[0144] Calculate the first opening area according to the bottom area and the preset small hole area ratio, where the first opening area is the product of the bottom area and the small hole area ratio;

[0145] Determine the second opening area and the third opening area based on the bottom area, where both the second opening area and the third opening area are the same as the bottom area;

[0146] Perform opening cutting on a pre-constructed metal disc according to the first opening area, the second opening area, and the third opening area to obtain a perforated disc, where the perforated disc includes: a first disc opening, a second disc opening, and a third disc opening. The areas of the first disc opening, the second disc opening, and the third disc opening are respectively: the first opening area, the second opening area, and the third opening area, and a metal handle is provided at the edge of the perforated disc;

[0147] Based on the perforated disk, a connecting chassis is obtained. The area and shape of the connecting chassis are the same as those of the perforated disk, and the connecting chassis includes: a first chassis opening and a second chassis opening. The areas of the first chassis opening and the second chassis opening are the first opening area and the second opening area respectively, and the positions of the first chassis opening and the second chassis opening in the connecting chassis are the same as the positions of the first disk opening and the second disk opening in the perforated disk respectively;

[0148] Cover the third disk opening in the perforated disk with tuning paper to obtain a third tuning opening. Connect the cylindrical cavity, the perforated disk and the connecting chassis to obtain a low-frequency filtering device. The open bottom surface of the cylindrical cavity is connected to the bottom surface of the connecting chassis, and the other bottom surface of the connecting chassis is connected to the perforated disk.

[0149] It should be explained that the small hole area ratio refers to a proportion constant set artificially. The metal handle refers to the handle directly connected to the side of the perforated disk, and its specific size is set artificially, and its size can ensure that a person's finger can rotate it.

[0150] Furthermore, the open bottom surface refers to the completely open bottom surface of the cylindrical cavity, where completely open means that the area of the opening is exactly the same as the bottom area. The closed bottom surface refers to the completely closed bottom surface of the cylindrical cavity, where completely closed means that there are no holes in the bottom surface here.

[0151] Specifically, using the low-frequency filtering device to perform low-frequency switching on the target pickup to obtain a switched pickup includes:

[0152] Confirm the acoustic working state of the target pickup. The acoustic working state includes: a normal working state and a low-frequency filtering state. In the normal working state, the third tuning opening coincides with the second chassis opening. In the low-frequency filtering state, the first disk opening and the second disk opening coincide with the first chassis opening and the second chassis opening respectively, and the coincidence means that the two openings are mutually attached and the central axes are aligned;

[0153] If the target pickup is in the normal working state, use the metal handle of the perforated disk to rotate the perforated disk until the first disk opening and the second disk opening in the perforated disk coincide with the first chassis opening and the second chassis opening in the connecting chassis respectively, and record the target pickup at this time as the switched pickup;

[0154] If the target pickup is in the low-frequency filtering state, record the target pickup as the switched pickup.

[0155] It is understandable that the target pickup can be freely switched between the normal working state and the low-frequency filtering state. For example, when the perforated disk is rotated, the first disk opening, the second disk opening, and the third disk opening on the perforated disk rotate together. If the target pickup is in the bass filtering state at a certain time, the first disk opening is directly opposite the first chassis opening connecting the chassis, the second disk opening is directly opposite the opening of the cylindrical cavity, and the third disk opening will be in a closed state. As the perforated disk rotates, the first disk opening, the second disk opening, and the third disk opening will move away from their original positions. When the second disk opening moves to be directly opposite the opening of the cylindrical cavity, the perforated disk will reach the maximum rotation angle at which it can rotate. At this time, the first disk opening and the second disk opening will not coincide with any opening, that is, they are both in a closed state, so that the target pickup reaches the normal working state.

[0156] It should be explained that in the normal working state, in order to ensure that the sound wave has sufficient bandwidth and at the same time make the sound wave have high fidelity, it is necessary to let the tuning paper cover the gap between the cylindrical cavity and the perforated disk, that is, to make the third disk opening coincide with the opening of the cylindrical cavity. However, in a noisy environment, the larger the bandwidth of the sound wave signal received by the target pickup, the more clutter in the environment will be received by the pickup, which will instead reduce the quality of the sound wave. Therefore, when the interference degree of the external environmental sound wave on the current working sound wave is relatively large, that is, when the sound wave interference factor is greater than the standard interference factor, in order to ensure the high quality of the received working sound wave, it is necessary to filter out the sound waves in the low-frequency band concentrated in the original sound wave signal. Since the first disk opening is smaller in size than the second disk opening and the third disk opening, allowing the first disk opening to ventilate, that is, putting the target pickup in the low-frequency filtering state, can increase the ventilation area of the target pickup, increase the air flow inside the target pickup, and thus change the air cavity in the pickup to achieve the purpose of filtering out low-frequency band sound waves.

[0157] S8. Complete the low-frequency switching of the moving coil pickup based on the switched pickup.

[0158] Exemplarily, when singing outdoors, in order to reduce the interference of environmental wind sounds and water flow sounds on the human voice, the low-frequency filtering device can be switched to the low-frequency filtering state. When recording in a recording studio, since the environmental interference is extremely small and in order to ensure that the sound received by the target pickup has high fidelity, the low-frequency filtering device needs to be switched to the normal working state.

[0159] To solve the problems described in the background art, the present invention first analyzes the duration of sound waves and uses a target pick-up device to receive sound wave signals, obtaining an original sound wave signal set. This step acquires comprehensive and continuous original sound wave data, providing sufficient and complete basic data for subsequent in-depth analysis of sound wave signals. Then, based on the signal cutting number, the original sound wave signal set is cut to obtain a set of cut sound wave signal groups. The original sound wave signal set is cut into multiple cut sound wave signal groups, and each cut sound wave signal group contains sound wave information within a specific time period. By analyzing the sound waves within these time periods in depth, the changes in sound waves at different time periods can be observed more clearly, improving the accuracy of subsequent sound wave feature extraction. Next, signal analysis is performed on the cut sound wave signal groups to obtain the cut signal energy and cut signal frequency. Through signal analysis, the signal energy and signal frequency of each cut sound wave signal group can be obtained, providing a key parameter basis for subsequent interference analysis of sound wave signals. Further, using the cut signal frequency group and the cut signal energy group, environmental sound wave interference analysis is carried out to obtain a sound wave interference factor. This step comprehensively considers the frequency and energy characteristics of sound wave signals, more comprehensively and accurately evaluates the degree of environmental interference received by sound wave signals, and provides a clear and objective basis for determining whether the sound wave signals are severely interfered and whether subsequent operations such as low-frequency switching are required through the obtained quantitative index of the sound wave interference factor. If the sound wave interference factor is greater than the standard interference factor, a low-frequency filtering device is used to perform low-frequency switching on the target pick-up device to obtain a switched pick-up device. By switching the pick-up device, the working state of the target pick-up device is optimized and adjusted, enabling it to receive and process sound wave signals within a more ideal frequency range, improving the quality and accuracy of sound wave signal reception of the target pick-up device, enhancing the working performance of the pick-up device in an interference environment. At the same time, the construction of the low-frequency filtering device also makes up for the defect that the moving coil pick-up device cannot filter low-frequency sound waves in real time, further enhancing the environmental adaptability of the moving coil pick-up device. Therefore, the present invention can improve the quality of sound wave signals received by the moving coil pick-up device and enhance the environmental adaptability of the moving coil pick-up device.

[0160] As Figure 2 shown, it is a functional module diagram of a low-frequency switching system of a moving coil pick-up device provided by an embodiment of the present invention.

[0161] The low-frequency switching system 100 of the moving coil pickup described in the present invention can be installed in an electronic device. According to the implemented functions, the low-frequency switching system 100 of the moving coil pickup may include an original sound wave acquisition module 101, a sound wave signal cutting module 102, an interference factor calculation module 103, and a low-frequency sound wave filtering module 104. The modules described in the present invention may also be referred to as units, which refer to a series of computer program segments that can be executed by the processor of an electronic device and can complete fixed functions, and are stored in the memory of the electronic device.

[0162] The original sound wave acquisition module 101 is configured to receive a low-frequency switching instruction, determine a target pickup based on the low-frequency switching instruction, where the target pickup includes a low-frequency filtering device, and according to a preset sound wave analysis duration, use the target pickup to receive a sound wave signal to obtain an original sound wave signal set, where the original sound wave signals in the original sound wave signal set are arranged in chronological order from first to last, and the target pickup is a moving coil pickup;

[0163] The sound wave signal cutting module 102 is configured to cut the original sound wave signal set based on a preset number of signal cuts to obtain a set of cut sound wave signal groups, where the number of cut sound wave signal groups in the set of cut sound wave signal groups is the same as the number of signal cuts. Sequentially extract the cut sound wave signal groups in the set of cut sound wave signal groups, and perform signal analysis on the cut sound wave signal groups to obtain cut signal energy and cut signal frequency;

[0164] The interference factor calculation module 103 is configured to respectively summarize the cut signal frequencies and cut signal energies of each cut sound wave signal group to obtain a cut signal frequency group and a cut signal energy group, and use the cut signal frequency group and the cut signal energy group to perform environmental sound wave interference analysis to obtain a sound wave interference factor;

[0165] The low-frequency sound wave filtering module 104 is configured to, if it is confirmed that the sound wave interference factor is greater than a preset standard interference factor, use the low-frequency filtering device to perform low-frequency switching on the target pickup to obtain a switched pickup, where the low-frequency filtering device includes: a cylindrical cavity, an open-hole disc, a connecting chassis, and tuning paper.

[0166] Specifically, each module in the low-frequency switching system 100 of the moving coil pickup in the embodiment of the present invention adopts the same technical means as those Figure 1 described in the low-frequency switching method of the moving coil pickup described above, and can produce the same technical effects, which will not be elaborated here.

[0167] As Figure 3 shown, it is a schematic structural diagram of an electronic device for implementing the low-frequency switching method of a moving coil pickup provided by an embodiment of the present invention.

[0168] The electronic device 1 may include a processor 10, a memory 11, and a bus 12, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a low-frequency switching method program for a moving coil pickup.

[0169] Among them, the memory 11 includes at least one type of readable storage medium, which includes flash memory, mobile hard disk, multimedia card, card-type memory (such as SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 11 may be an internal storage unit of the electronic device 1, such as the mobile hard disk of the electronic device 1. In some other embodiments, the memory 11 may also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. equipped on the electronic device 1. Further, the memory 11 further includes the internal storage unit of the electronic device 1 and also includes an external storage device. The memory 11 can be used not only to store application software installed in the electronic device 1 and various types of data, such as the code of the low-frequency switching method program for a moving coil pickup, etc., but also to temporarily store data that has been output or will be output.

[0170] In some embodiments, the processor 10 may be composed of integrated circuits. For example, it may be composed of a single packaged integrated circuit, or may be composed of multiple integrated circuits with the same or different functions, including a combination of one or more Central Processing Units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips, etc. The processor 10 is the control core (Control Unit) of the electronic device, connecting various components of the entire electronic device through various interfaces and lines, and by running or executing programs or modules stored in the memory 11 (such as the low-frequency switching method program for a moving coil pickup, etc.), and calling data stored in the memory 11, to perform various functions of the electronic device 1 and process data.

[0171] The bus 12 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus 12 can be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to enable connection communication between the memory 11 and at least one processor 10, etc.

[0172] Figure 3 Only an electronic device with components is shown. Those skilled in the art can understand that Figure 3 the shown structure does not constitute a limitation on the electronic device 1, and it may include fewer or more components than shown, or combine certain components, or have a different component arrangement.

[0173] For example, although not shown, the electronic device 1 may further include a power source (such as a battery) for supplying power to each component. Preferably, the power source can be logically connected to the at least one processor 10 through a power management system, so as to implement functions such as charge management, discharge management, and power consumption management through the power management system. The power source may also include any components such as one or more DC or AC power sources, a recharge system, a power failure detection circuit, a power converter or inverter, a power status indicator, etc. The electronic device 1 may also include various sensors, a Bluetooth module, a Wi-Fi module, etc., which will not be elaborated here.

[0174] Furthermore, the electronic device 1 may further include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device 1 and other electronic devices.

[0175] Optionally, the electronic device 1 may further include a user interface. The user interface may be a display, an input unit (such as a keyboard), and optionally, the user interface may also be a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch liquid crystal display, and an OLED (Organic Light-Emitting Diode) toucher, etc. Among them, the display may also be appropriately referred to as a display screen or a display unit, which is used to display the information processed in the electronic device 1 and to display a visual user interface.

[0176] The low-frequency switching method program of the moving coil pickup stored in the memory 11 in the electronic device 1 is a combination of multiple instructions. When running in the processor 10, it can achieve:

[0177] Receive a low-frequency switching instruction, and determine a target pickup based on the low-frequency switching instruction. Among them, the target pickup includes a low-frequency filtering device;

[0178] According to a preset acoustic wave analysis duration, and use the target pickup to receive acoustic wave signals to obtain a set of original acoustic wave signals. Among them, the original acoustic wave signals in the set of original acoustic wave signals are arranged in chronological order from first to last, and the target pickup is a moving coil pickup;

[0179] Based on a preset number of signal cuts, cut the set of original acoustic wave signals to obtain a set of cut acoustic wave signal groups. Among them, the number of cut acoustic wave signal groups in the set of cut acoustic wave signal groups is the same as the number of signal cuts;

[0180] Sequentially extract cut acoustic wave signal groups from the set of cut acoustic wave signal groups, and perform signal analysis on the cut acoustic wave signal groups to obtain cut signal energy and cut signal frequency;

[0181] Summarize the cut signal frequencies and cut signal energies of each cut acoustic wave signal group respectively to obtain a cut signal frequency group and a cut signal energy group;

[0182] Use the cut signal frequency group and the cut signal energy group to perform ambient acoustic wave interference analysis to obtain an acoustic wave interference factor;

[0183] If it is confirmed that the acoustic wave interference factor is greater than a preset standard interference factor, then use the low-frequency filtering device to perform low-frequency switching on the target pickup to obtain a switched pickup. Among them, the low-frequency filtering device includes: a cylindrical cavity, an open-hole disc, a connecting chassis, and tuning paper;

[0184] Complete the low-frequency switching of the moving coil pickup based on the switched pickup.

[0185] Specifically, the specific implementation method of the above instructions by the processor 10 can refer to Figures 1 to 3 The description of the relevant steps in the corresponding embodiment, which will not be elaborated here.

[0186] Further, if the modules / units integrated in the electronic device 1 are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or system capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disc, a computer memory, a read-only memory (ROM, Read-Only Memory).

[0187] The present invention also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor of an electronic device, it can implement:

[0188] Receiving a low-frequency switching instruction, and determining a target pick-up based on the low-frequency switching instruction, wherein the target pick-up includes a low-frequency filtering device;

[0189] According to a preset acoustic wave analysis duration, and using the target pick-up to receive acoustic wave signals, an original acoustic wave signal set is obtained, wherein the original acoustic wave signals in the original acoustic wave signal set are arranged in chronological order from the earliest to the latest, and the target pick-up is a moving coil pick-up;

[0190] Based on a preset number of signal cuts, the original acoustic wave signal set is cut to obtain a set of cut acoustic wave signal groups, wherein the number of cut acoustic wave signal groups in the set of cut acoustic wave signal groups is the same as the number of signal cuts;

[0191] Sequentially extracting cut acoustic wave signal groups from the set of cut acoustic wave signal groups, and performing signal analysis on the cut acoustic wave signal groups to obtain cut signal energy and cut signal frequency;

[0192] Respectively summarizing the cut signal frequencies and cut signal energies of each cut acoustic wave signal group to obtain a cut signal frequency group and a cut signal energy group;

[0193] Using the cut signal frequency group and the cut signal energy group to perform ambient acoustic wave interference analysis to obtain an acoustic wave interference factor;

[0194] If it is confirmed that the acoustic wave interference factor is greater than a preset standard interference factor, then the low-frequency filtering device is used to perform low-frequency switching on the target pick-up to obtain a switched pick-up, wherein the low-frequency filtering device includes: a cylindrical cavity, an open-hole disc, a connecting chassis, and tuning paper;

[0195] Based on the switched pick-up, the low-frequency switching of the moving coil pick-up is completed.

[0196] In several embodiments provided by the present invention, it should be understood that the disclosed devices, systems, and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative, and there may be other partitioning methods in actual implementation.

[0197] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0198] In addition, the functional modules in each embodiment of the present invention can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated units can be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0199] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and without departing from the spirit or basic characteristics of the present invention, the present invention can be implemented in other specific forms.

[0200] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A low-frequency switching method for a moving coil pickup, characterized in that, The method includes: Receiving a low-frequency switching instruction, and determining a target pickup based on the low-frequency switching instruction, where the target pickup includes a low-frequency filtering device; According to a preset acoustic wave analysis duration, and using the target pickup to receive acoustic wave signals, an original acoustic wave signal set is obtained, where the original acoustic wave signals in the original acoustic wave signal set are arranged in chronological order from first to last, and the target pickup is a dynamic microphone; Based on a preset number of signal cuts, the original acoustic wave signal set is cut to obtain a set of cut acoustic wave signal groups, where the number of cut acoustic wave signal groups in the set of cut acoustic wave signal groups is the same as the number of signal cuts; Sequentially extract the cut acoustic wave signal groups from the set of cut acoustic wave signal groups, and perform signal analysis on the cut acoustic wave signal groups to obtain cut signal energy and cut signal frequency; The performing signal analysis on the cut acoustic wave signal groups to obtain cut signal energy and cut signal frequency includes: Identifying the signal amplitude of each cut acoustic wave signal in the cut acoustic wave signal group to obtain a signal amplitude group, where the signal amplitude is a current value; Based on the signal amplitude group, calculating the cut signal energy using the following formula: Among them, E g represents the energy of the cutting signal, m e represents the number of signal amplitudes in the signal amplitude group, I c represents the c-th signal amplitude in the signal amplitude group; Performing frequency identification on the cut acoustic wave signal group to obtain a signal frequency group, where the number of signal frequencies in the signal frequency group is the same as the number of cut acoustic wave signals in the cut acoustic wave signal group; Based on the signal frequency group, calculating the cut signal frequency; Respectively summarize the cut signal frequencies and cut signal energies of each cut acoustic wave signal group to obtain a cut signal frequency group and a cut signal energy group; Using the cut signal frequency group and the cut signal energy group to perform environmental acoustic wave interference analysis to obtain an acoustic wave interference factor; The using the cut signal frequency group and the cut signal energy group to perform environmental acoustic wave interference analysis to obtain an acoustic wave interference factor includes: Respectively calculating the total cut signal frequency of the cut signal frequency group and the total cut signal energy of the cut signal energy group; Constructing a frequency feature vector according to the total cut signal frequency and the cut signal frequency group, and constructing an energy feature vector based on the total cut signal energy and the cut signal energy group, where the frequency feature vector and the energy feature vector are respectively expressed as: Among them, represents the frequency feature vector, represents the first vector parameter in the frequency feature vector, represents the r1-th vector parameter in the frequency feature vector, represents the m f -th frequency feature vector, represents the r1-th cutting signal frequency in the cutting signal frequency group, represents the total cutting signal frequency, represents the energy feature vector, represents the first vector parameter in the energy feature vector, represents the r2-th vector parameter in the energy feature vector, represents the m e -th energy feature vector, represents the r2-th cutting signal energy in the cutting signal energy group, represents the total cutting signal energy; Based on the frequency feature vector and the energy feature vector, performing environmental interference evaluation to obtain an environmental interference factor; The based on the frequency feature vector and the energy feature vector, performing environmental interference evaluation to obtain an environmental interference factor includes: Determining the working environment of the target pickup, and performing acoustic wave signal analysis on the working environment to obtain an environmental frequency vector and an environmental energy vector; According to the frequency feature vector, the energy feature vector, the environmental frequency vector and the environmental energy vector, calculating the environmental interference factor, where the environmental interference factor is expressed as: where K represents the environmental interference factor, · represents the vector dot product symbol, represents the environmental frequency vector, represents the environmental energy vector, and |*| represents the vector modulus symbol; If it is confirmed that the acoustic wave interference factor is greater than a preset standard interference factor, then use the low-frequency filtering device to perform low-frequency switching on the target pickup to obtain a switched pickup, where the low-frequency filtering device includes: a cylindrical cavity, an open-pored disc, a connecting chassis and tuning paper; Based on the switched pickup, complete the low-frequency switching of the dynamic microphone.

2. The low-frequency switching method of the moving coil pickup according to claim 1, characterized in that Identifying the cutting signal frequency based on the signal frequency group includes: Identifying the central signal frequency group based on the signal frequency group; Using the central signal frequency group to perform frequency classification on the signal frequency group to obtain an average classification frequency group and a classification frequency array, where one central signal frequency in the central signal frequency group corresponds to one average classification frequency in the average classification frequency group and one classification frequency number in the classification frequency array; Based on the average classification frequency group and the classification frequency array, calculate the cutting signal frequency using the following formula: Among them, f g represents the cutting signal frequency, m f represents the number of average classification frequencies in the average classification frequency group or the number of classification frequencies in the classification frequency array, represents the u1-th classification frequency number in the classification frequency array, represents the u1-th average classification frequency in the average classification frequency group, represents the u2-th classification frequency number in the classification frequency array.

3. The low-frequency switching method of the moving coil pickup according to claim 2, characterized in that The identifying the central signal frequency group based on the signal frequency group includes: Sequentially extract the signal frequencies to be identified in the signal frequency group, and calculate the deviation value to be identified of the signal frequency to be identified, where the deviation value to be identified is expressed as: Among them, P represents the deviation value to be recognized, and f d represents the frequency of the signal to be recognized, and f k represents the k-th signal frequency in the signal frequency group, and n represents the number of signal frequencies in the signal frequency group; Summarize the deviation values to be identified to obtain a group of deviation values to be identified, and identify the central deviation value group in the group of deviation values to be identified based on the preset number of classification centers, where the number of central deviation values in the central deviation value group is the same as the number of classification centers; Identify the central signal frequency group corresponding to the central deviation value group in the signal frequency group.

4. The low-frequency switching method of the moving coil pickup according to claim 3, characterized in that, The performing frequency classification on the signal frequency group using the central signal frequency group to obtain an average classification frequency group and a classification frequency array includes: Sequentially extract the central signal frequencies in the central signal frequency group; Calculate the central frequency difference between each signal frequency in the signal frequency group and the central signal frequency to obtain a central frequency difference group; Use the preset minimum frequency difference to screen the central frequency difference group to obtain a frequency difference group to be classified, and identify the signal frequency group to be classified corresponding to the frequency difference group to be classified in the signal frequency group, and summarize the central signal frequency and the signal frequency group to be classified to obtain a classified signal frequency group; Calculate the average classification frequency in the classified signal frequency group and count the number of classification frequencies in the classified signal frequency group; Summarize the average classification frequency and the number of classification frequencies corresponding to each central signal frequency respectively to obtain an average classification frequency group and a classification frequency array.

5. The low-frequency switching method of the moving coil pickup according to claim 4, characterized in that, Before using the low-frequency filtering device to perform low-frequency switching on the target pick-up to obtain a switched pick-up, the method further includes: Obtain a cylindrical cavity and confirm the bottom area of the cylindrical cavity, where the cylindrical cavity includes an open bottom surface and a closed bottom surface; Calculate the first opening area according to the bottom area and the preset small hole area ratio, where the first opening area is the product of the bottom area and the small hole area ratio; Determine the second opening area and the third opening area based on the bottom area, where both the second opening area and the third opening area are the same as the bottom area; Perform opening cutting on a pre-constructed metal disc according to the first opening area, the second opening area and the third opening area to obtain an opening disc, where the opening disc includes a first disc opening, a second disc opening and a third disc opening, the areas of the first disc opening, the second disc opening and the third disc opening are the first opening area, the second opening area and the third opening area respectively, and a metal handle is provided at the edge of the opening disc; Obtain a connection chassis according to the perforated disc, wherein the area and shape of the connection chassis are the same as those of the perforated disc, and the connection chassis includes: a first chassis opening and a second chassis opening, and the areas of the first chassis opening and the second chassis opening are the first opening area and the second opening area respectively, and the positions of the first chassis opening and the second chassis opening in the connection chassis are the same as the positions of the first disc opening and the second disc opening in the perforated disc respectively; Cover the third disc opening in the perforated disc with tuning paper to obtain a third tuning opening, and connect the cylindrical cavity, the perforated disc and the connection chassis to obtain a low-frequency filtering device, wherein the open bottom surface of the cylindrical cavity is connected to the bottom surface of the connection chassis, and the other bottom surface of the connection chassis is connected to the perforated disc.

6. The low-frequency switching method of the moving coil pickup according to claim 5, characterized in that, Using the low-frequency filtering device to perform low-frequency switching on the target pickup to obtain a switched pickup, including: Confirm the acoustic wave working state of the target pickup, wherein the acoustic wave working state includes: a normal working state and a low-frequency filtering state. In the normal working state, the third tuning opening coincides with the second chassis opening. In the low-frequency filtering state, the first disc opening and the second disc opening coincide with the first chassis opening and the second chassis opening respectively, and the coincidence means that the two openings are mutually attached and the central axes are aligned; If the target pickup is in the normal working state, rotate the perforated disc using the metal handle of the perforated disc until the first disc opening and the second disc opening in the perforated disc coincide with the first chassis opening and the second chassis opening in the connection chassis respectively, and record the target pickup at this time as the switched pickup; If the target pickup is in the low-frequency filtering state, record the target pickup as the switched pickup.

7. A low-frequency switching system using a moving coil pickup as described in any one of claims 1 to 6, characterized in that, The system includes: An original acoustic wave acquisition module, configured to receive a low-frequency switching instruction, determine a target pickup based on the low-frequency switching instruction, wherein the target pickup includes a low-frequency filtering device, according to a preset acoustic wave analysis duration, and use the target pickup to receive an acoustic wave signal to obtain an original acoustic wave signal set, wherein the original acoustic wave signals in the original acoustic wave signal set are arranged in chronological order from first to last, and the target pickup is a dynamic microphone; An acoustic wave signal cutting module, configured to cut the original acoustic wave signal set based on a preset number of signal cuts to obtain a set of cut acoustic wave signal groups, wherein the number of cut acoustic wave signal groups in the set of cut acoustic wave signal groups is the same as the number of signal cuts. Sequentially extract cut acoustic wave signal groups from the set of cut acoustic wave signal groups, and perform signal analysis on the cut acoustic wave signal groups to obtain cut signal energy and cut signal frequency; An interference factor calculation module, configured to respectively summarize the cut signal frequencies and cut signal energies of each cut acoustic wave signal group to obtain a cut signal frequency group and a cut signal energy group, and use the cut signal frequency group and the cut signal energy group to perform environmental acoustic wave interference analysis to obtain an acoustic wave interference factor; A low-frequency acoustic wave filtering module, which is used to, if it is confirmed that the acoustic wave interference factor is greater than a preset standard interference factor, use the low-frequency filtering device to perform low-frequency switching on the target pickup to obtain a switched pickup, where the low-frequency filtering device includes: a cylindrical cavity, an open-hole disc, a connecting chassis, and tuning paper.

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