Intelligent musical instrument timbre adjusting system

Abstract

The invention discloses an intelligent musical instrument timbre adjusting system, and relates to the technical field of musical instrument adjustment, and the system comprises a data collection module, a strength division module, a sound sensing analysis module, an external module and a multi-device cooperation module, and is advantageous in that the nonlinear mapping of the strength and the timbre is realized through the strength division module; quantitative playing style differences are calculated through force multiples, so that tone adjustment is better matched with the force expression of music, and the expressive force and layering sense of the music are enhanced. And through the sound sensing analysis module, the personalized expression of the player is captured, unique user music information is formed, and a personalized tone adjustment scheme is provided for the user. Through the external module, a closed framework of a traditional musical instrument is broken, open tone ecology is supported, and the use flexibility and convenience of the musical instrument are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of musical instrument adjustment, and particularly to an intelligent musical instrument timbre adjustment system. Background Art

[0002] An instrument that can produce musical sounds and can be used for the re-creation of musical art. Through playing musical instruments, humans can express and communicate their thoughts and feelings. There are different views in the music industry and the musical instrument academic circle on the definition of musical instruments. Musical instruments are spiritual property that humans have possessed for a long time and have been continuously enriched with the progress of humans. Timbre refers to the distinctive characteristics that different sounds always have in terms of waveforms. Different object vibrations have different characteristics. Each musical instrument, the vocal cords of different people, and all other vibrating objects can produce different sounds with their own characteristics, and these sounds can also have waveforms displayed by instruments;

[0003] When common intelligent musical instrument timbre adjustment systems are in use, they cannot well adapt to special playing habits, resulting in the inability to accurately capture their personalized expressions, restricting the diversity and adaptability of personalized timbre adjustment schemes. It is relatively difficult to break the closed architecture of traditional musical instruments. For this reason, we propose an intelligent musical instrument timbre adjustment system. Summary of the Invention

[0004] The purpose of the present invention is to provide an intelligent musical instrument timbre adjustment system.

[0005] To solve the problems raised in the above background art, the present invention provides the following technical solution: an intelligent musical instrument timbre adjustment system, including a data acquisition module, a dynamics division module, a pitch perception analysis module, an external module, and a multi-device collaboration module;

[0006] The data acquisition module collects piezoelectric sensors and installs the piezoelectric sensors on the musical instrument. The piezoelectric sensors are used to collect the dynamics and speed during performance in real time to obtain characteristic dynamics information and characteristic speed information, establish a classic unit, and at the same time collect various music information, divide its verse part and chorus part, and then record them into the classic unit;

[0007] The dynamics division module extracts the characteristic dynamics information and characteristic speed information, then splits the characteristic dynamics information according to the musical scale, analyzes the dynamics information applied on different musical scales to obtain scale dynamics information, establishes a multiple basis, then performs multiple calculations on the scale dynamics information to obtain a dynamics multiple, and divides the dynamics verse and dynamics chorus according to the dynamics multiple to obtain dynamics music information;

[0008] The sound perception analysis module extracts music information, establishes an editing unit and a standard unit, then enters the music information into the standard unit, splits it into notation elements to obtain standard elements. When the user plays music, it records synchronously to obtain characteristic music, then analyzes the difference information between the characteristic music and the standard elements to form characteristic music information unique to the user, and records it into the editing unit;

[0009] The external module includes external devices, extracts the dynamic music information and the characteristic music information recorded in the editing unit, and records them into the external devices. At the same time, it sets priority permissions for the external devices, making the priority permissions of the external devices higher than those of the classic unit in the musical instrument, so that when performing, it will first execute the content recorded in the external devices, thereby adjusting the timbre of the musical instrument;

[0010] The multi-device collaboration module uses an ultra-low-latency wireless protocol to form a musical instrument cluster network, and then adjusts the gain allocation ratio in real time according to the RMS energy values of each voice part.

[0011] As a further solution of the present invention: after the characteristic speed information in the data acquisition module is obtained, it analyzes the time interval between different scales to obtain the scale interval time, then calculates the average scale interval time, and divides the rhythm verse and the rhythm chorus according to the average scale interval time.

[0012] As a further solution of the present invention: when calculating the average scale interval time in the data acquisition module, let the scale interval time be J S , let the number of scale intervals be P, and let the average scale interval time be J 平均 ;

[0013]

[0014] Calculate the average scale interval time according to the above formula, then classify the scale area lower than the average scale interval time as the rhythm chorus, and classify the scale area higher than the average scale interval time as the rhythm verse.

[0015] As a further solution of the present invention: when calculating the dynamic multiple in the dynamic division module, analyze the dynamic of the scale dynamic information, let the multiple base be B 基础 , let the dynamic of the Xth scale be D X , let the dynamic multiple be L 波动 :

[0016]

[0017] Calculate the dynamic multiple according to the above formula, and count all the dynamic multiples to obtain a multiple table.

[0018] As a further solution of the present invention: when dividing the main chorus and the secondary chorus in the intensity division module, a proportion unit of the secondary chorus is synchronously established, and the user has the permission to edit the proportion unit of the secondary chorus, so as to adjust the ratio between the main chorus and the secondary chorus by using the proportion unit of the secondary chorus. Then, the number of scale intensity information corresponding to the secondary chorus is calculated through the ratio between the main chorus and the secondary chorus. Then, the number of intensity multiples matching the number of scale intensity information is screened out, and the corresponding scale intensity information is analyzed to summarize it as the secondary chorus.

[0019] As a further solution of the present invention: after obtaining the multiple table in the intensity division module, a selection permission for the secondary chorus is synchronously established. The user selects the range of the secondary chorus in the multiple table. After the user confirms the selection, it will be recorded and the corresponding secondary chorus information will be analyzed. The priority of the selection permission is higher than that of the proportion unit of the secondary chorus.

[0020] As a further solution of the present invention: the external device in the external module further includes a migration unit. The migration unit measures the key pressing speed, acceleration and continuous change of key depth of the user on the classical piano through a three-axis pressure sensor, and uses an infrared laser displacement sensor to monitor the movement curve of the hammer before hitting the string in real time, and obtains the initial key pressing force peak value, attenuation slope, double hit interval time, and the linkage delay between the sustain pedal and the damper. Then, an asymmetric double exponential decay model is established, and this model is used to simulate the nonlinear process of energy transfer after the hammer hits the string, analyze the key pressing dynamic sequence, and use a temporal convolutional network to encode the key pressing dynamic sequence to extract the key pressing style features.

[0021] As a further solution of the present invention: after the extraction of the key pressing style features in the external module is completed, it will be migrated to the digital piano to record multi-layer dynamic samples. The 128 keys are arranged on different layers, and the sample layers are switched in real time through the key pressing speed, and the resonance tail sound of physical modeling is superimposed. A linear electromagnetic driver is equipped for the keyboard of the digital piano to reversely generate tactile feedback according to the timbre requirements, increase the key resistance when playing forte to simulate the real string hitting recoil, and reduce the resistance and add subtle vibrations when playing piano to simulate the string aftershock, so as to migrate the key pressing habits of the classical piano to the digital piano.

[0022] As a further solution of the present invention: after the instrument cluster network in the multi-device collaboration module is established, a lead instrument unit and an accompaniment instrument unit are established, the types of the lead instrument and the accompaniment instrument are analyzed, and they are respectively recorded in the lead instrument unit and the accompaniment instrument unit. During the performance, the bright frequency band of 2 - 5 kHz emitted by the instruments in the lead instrument unit is preferentially retained, while for the instruments in the accompaniment instrument unit, the FFT frequency domain masking technology is used to automatically attenuate the conflicting frequency points.

[0023] Adopting the above technical solution, compared with the prior art, the beneficial effects of the present invention are as follows:

[0024] 1. Through the intensity division module, the present invention realizes the non-linear mapping of intensity and timbre, calculates the intensity multiples to quantify the differences in playing styles, enables the timbre adjustment to better match the intensity performance of music, enhances the expressiveness and layering of music. Through the sound perception analysis module, it captures the personalized expressions of the performer, forms unique user music information, and provides personalized timbre adjustment solutions for users. Through the external module, it breaks the closed architecture of traditional musical instruments, supports an open timbre ecosystem, and increases the flexibility and convenience of using musical instruments;

[0025] 2. Through the data acquisition module, the present invention divides and processes music more precisely based on rhythm characteristics, enables the timbre changes to match the rhythm changes, matches the emotional expression through the rhythm density, enhances the overall rhythm and expressiveness of music. Through the intensity division module, it can more accurately measure the relationship between different scale intensities and the multiple basis, and thus more accurately reflect the characteristics of the performer in intensity control, which helps to more finely adjust the timbre to match the playing intensity performance, enhances the flexibility and adaptability of the system in timbre adjustment, and makes the timbre adjustment more in line with the performer's playing intention and music creation needs;

[0026] 3. Through the external module, the present invention realizes the transfer of the key-touching habits of classical pianos to digital pianos, improves the playing experience of digital pianos, reproduces the complex harmonic attenuation characteristics of classical pianos, makes them closer to classical pianos in terms of key-touching feel and timbre performance, enriches the timbre and touch effects of digital pianos, and uses the multi-device collaboration module to optimize the sound effects during the ensemble of multiple musical instruments, avoids sound conflicts between musical instruments, makes the sounds of each musical instrument more harmonious and unified, and improves the overall playing quality and the layering of music. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a schematic diagram of the system flow in the embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0028] The following further describes the specific embodiments of the present invention with reference to the drawings. It should be noted here that the description of these embodiments is for helping to understand the present invention, but does not limit the present invention.

[0029] In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0030] Embodiment 1:

[0031] Therefore, in order to effectively solve the above problems, the present application proposes an intelligent musical instrument timbre adjustment system, as shown in the accompanying drawings of the specification Figure 1As shown, it includes a data acquisition module, a force division module, a sound sense analysis module, an external module, and a multi-device collaboration module;

[0032] The data acquisition module collects piezoelectric sensors and installs the piezoelectric sensors on musical instruments. It uses the piezoelectric sensors to collect the force and speed during performance in real time, obtains characteristic force information and characteristic speed information, establishes a classic unit, and at the same time collects various music information, divides its verse part and chorus part, and then records them into the classic unit;

[0033] The force division module extracts the characteristic force information and characteristic speed information, then splits the characteristic force information according to the musical scale, analyzes the force information applied on different musical scales, obtains the scale force information, establishes a multiple basis, then performs multiple calculations on the scale force information to obtain the force multiple, and divides the force verse and force chorus according to the force multiple to obtain the force music information;

[0034] The sound sense analysis module extracts music information, establishes an editing unit and a standard unit, then enters the music information into the standard unit, splits it into notation elements to obtain standard elements. When the user performs music, it will be recorded synchronously to obtain characteristic music, and then analyzes the difference information between the characteristic music and the standard elements to form the characteristic music information unique to the user and records it into the editing unit;

[0035] The external module includes external devices, extracts the force music information and the characteristic music information recorded in the editing unit, and records them into the external devices. At the same time, it sets the priority permission for the external devices, making the priority permission of the external devices higher than that of the classic unit in the musical instrument, so that when performing, it will first execute the content recorded in the external devices, thereby adjusting the timbre of the musical instrument;

[0036] The multi-device collaboration module uses an ultra-low latency wireless protocol to form a musical instrument cluster network, and then adjusts the gain distribution ratio in real time according to the RMS energy value of each voice part;

[0037] The ultra-low latency wireless protocol refers to using a variety of technologies to reduce latency. In terms of frequency band usage, it will avoid congested frequency bands. For example, some protocols will use the millimeter wave frequency band, which has a wide bandwidth and can achieve high-speed data transmission, reducing the data queuing waiting time. In the data processing mechanism, it adopts a streamlined header design, removes unnecessary information, shortens the data frame length, thereby accelerating the data sending and receiving speed, and optimizes the retransmission mechanism. When data transmission errors occur, it can more quickly determine the lost data and perform retransmission, avoiding delays caused by long waiting for retransmission;

[0038] The RMS energy value of the voice part is used to measure the energy characteristics of the voice part in audio signal processing;

[0039] Introduce the federated learning framework to continuously optimize the timbre model using user data while ensuring privacy and security;

[0040] Add a tactile feedback module to form a closed-loop experience of "force input - timbre output - tactile feedback";

[0041] Specific working process: Collect piezoelectric sensors and install them on the instrument to obtain characteristic force information and characteristic velocity information, establish a classical unit. At the same time, collect various music information and divide its verse part and chorus part. Split the characteristic force information according to the musical scale, analyze the force information applied on different musical scales, establish a multiple basis, then perform multiple calculations on the scale force information, divide the force verse and force chorus according to the force multiple. Enter the music information into the standard unit and split it into notational elements. When the user plays music, it will be recorded synchronously to obtain characteristic music, and then analyze the difference information between the characteristic music and the standard elements to form unique user characteristic music information. Extract the force music information and the characteristic music information recorded in the editing unit and record it in the external device. At the same time, set the priority permission for the external device so that the priority permission of the external device is higher than that of the classical unit in the instrument. Use the ultra-low latency wireless protocol to form an instrument cluster network, and then adjust the gain allocation ratio in real time according to the RMS energy value of each voice part;

[0042] Furthermore, through the force division module, realize the non-linear mapping of force and timbre, quantify the differences in playing styles through force multiple calculations, make the timbre adjustment better match the force performance of the music, and enhance the expressiveness and layering of the music. Through the pitch perception analysis module, capture the personalized expressions of the performer to form unique user music information and provide personalized timbre adjustment solutions for users. Through the external module, break the closed architecture of traditional musical instruments, support an open timbre ecosystem, and increase the flexibility and convenience of using musical instruments.

[0043] Example 2:

[0044] Based on Example 1, as shown in the accompanying drawings of the specification Figure 1 After the characteristic velocity information in the data acquisition module is obtained, analyze the time interval between different musical scales to obtain the scale interval time, and then calculate the average scale interval time. Divide the rhythm verse and rhythm chorus according to the average scale interval time;

[0045] When calculating the average scale interval time in the data acquisition module, let the scale interval time be J S , let the number of scale intervals be P, and let the average scale interval time be J 平均 ;

[0046]

[0047] Calculate the average scale interval time according to the above formula, and then classify the scale regions with scale intervals lower than the average scale interval time as the rhythm chorus, and classify the scale regions with scale intervals higher than the average scale interval time as the rhythm verse;

[0048] When calculating the strength multiple in the strength division module, analyze the scale strength in the scale strength information, and set the multiple base as B 基础 , set the scale strength at the Xth time as D X , set the strength multiple as L 波动 :

[0049]

[0050] Calculate the strength multiple according to the above formula, and count all the strength multiples to obtain the multiple table;

[0051] When dividing the strength verse and strength chorus in the strength division module, a secondary chorus proportion unit will be established synchronously. The user has the permission to edit the secondary chorus proportion unit, so as to adjust the proportion between the strength verse and the strength chorus by using the secondary chorus proportion unit. Then, calculate the number of scale strength information corresponding to the strength chorus according to the proportion between the strength verse and the strength chorus, and then screen out the number of strength multiples that match the number of scale strength information, and analyze the corresponding scale strength information to classify it as the strength chorus;

[0052] After obtaining the multiple table in the strength division module, a selection permission for the strength chorus will be established synchronously. The user selects the range of the strength chorus in the multiple table. After the user confirms the selection, it will be recorded and the corresponding strength chorus information will be analyzed, where the priority of the selection permission is higher than the priority of the secondary chorus proportion unit;

[0053] Specific workflow: Analyze the time interval between different scales to obtain the scale interval time, then calculate the average scale interval time, classify the scale regions with scale intervals lower than the average scale interval time as the rhythm chorus, and classify the scale regions with scale intervals higher than the average scale interval time as the rhythm verse. Calculate the strength multiple and count all the strength multiples to obtain the multiple table. Establish a secondary chorus proportion unit. The user has the permission to edit the secondary chorus proportion unit, so as to adjust the proportion between the strength verse and the strength chorus by using the secondary chorus proportion unit. Screen out the number of strength multiples that match the number of scale strength information, and analyze the corresponding scale strength information to classify it as the strength chorus. Establish a selection permission for the strength chorus. The user selects the range of the strength chorus in the multiple table. After the user confirms the selection, it will be recorded and the corresponding strength chorus information will be analyzed, where the priority of the selection permission is higher than the priority of the secondary chorus proportion unit;

[0054] Furthermore, through the data acquisition module, the music is more precisely divided and processed based on the rhythm characteristics, so that the timbre change matches the rhythm change. The emotional expression is matched through the rhythm density, enhancing the overall rhythm and expressiveness of the music. Through the dynamics division module, the relationship between the dynamics of different scales and the multiple basis can be measured more accurately, and then the characteristics of the performer's dynamics control can be reflected more accurately, which helps to adjust the timbre more delicately to match the performance dynamics, enhancing the flexibility and adaptability of the system in timbre adjustment and making the timbre adjustment more in line with the user's performance intention and music creation needs.

[0055] Embodiment 3:

[0056] On the basis of Embodiment 2, as shown in the accompanying drawings of the specification Figure 1 The external device in the external module further includes a migration unit. The migration unit measures the key touch speed, acceleration, and continuous change of key depth of the user on the classical piano through a triaxial pressure sensor, and uses an infrared laser displacement sensor to monitor the movement curve of the hammer before hitting the string in real time, obtaining the initial key strike force peak, decay slope, double strike interval time, and the linkage delay between the sustain pedal and the damper. Then, an asymmetric double-exponential decay model is established, and this model is used to simulate the nonlinear process of energy transfer after the hammer hits the string, analyze the key touch dynamic sequence, and use a temporal convolutional network to encode the key touch dynamic sequence to extract the key touch style characteristics;

[0057] The triaxial pressure sensor mainly works based on principles such as piezoresistive effect, piezoelectric effect, or capacitance change. Taking the triaxial pressure sensor based on the piezoresistive effect as an example, multiple piezoresistors are made on a silicon-based material. When an external pressure acts on the sensor, the pressure in different directions will cause the silicon material to deform, thereby changing the resistance value of the piezoresistor. By measuring the changes in these resistance values and using circuits such as a Wheatstone bridge to convert the resistance change into a voltage or current signal, the magnitude of the pressure received in different axes can be calculated;

[0058] The asymmetric double-exponential decay model is a mathematical model used to describe phenomena with asymmetric decay characteristics. This model is based on the concept of double-exponential decay. Double-exponential decay means that the change of a system or process can be decomposed into a combination of two exponential decay processes with different time scales or rates. Asymmetric means that there are differences in the decay rate, amplitude, or other related parameters between these two exponential decay processes, making the overall decay curve show an asymmetric shape;

[0059] The key touch dynamic sequence refers to the dynamic change process with a certain order and pattern formed by the finger key touch action in time and space when playing a keyboard instrument;

[0060] The Temporal Convolutional Network (TCN) is based on convolutional neural networks. It extracts features by performing convolutional operations on the input sequence. Different from traditional CNNs, TCN uses techniques such as causal convolution and dilated convolution to adapt to the characteristics of sequential data. Causal convolution ensures that the output at time t depends only on the input at time t and before, and does not depend on future information, which conforms to the causal relationship of sequential data. Dilated convolution expands the receptive field of the convolutional kernel without increasing the number of parameters by introducing a dilation factor, enabling it to capture information over a longer time span;

[0061] After the key - touch style feature extraction in the external module is completed, it will be transferred to the digital piano. Multilayer dynamic sampling is recorded. The 128 keys are arranged on different layers. The sampling layer is switched in real - time according to the key - touch speed, and the resonant after - sound of physical modeling is superimposed. A linear electromagnetic driver is equipped for the keyboard of the digital piano. According to the timbre requirements, haptic feedback is generated in reverse. The key resistance is increased when playing forte to simulate the real hammer - strike recoil, and the resistance is reduced and subtle vibrations are added when playing piano to simulate the string after - shock, thus transferring the key - touch habits of classical pianos to digital pianos;

[0062] After the instrument cluster network in the multi - device collaboration module is established, the lead - instrument unit and the accompaniment - instrument unit are set up. The types of the lead instrument and the accompaniment instrument are analyzed and recorded into the lead - instrument unit and the accompaniment - instrument unit respectively. During performance, the bright - ness frequency band of 2 - 5 kHz emitted by the instruments in the lead - instrument unit is preferentially retained. For the instruments in the accompaniment - instrument unit, the FFT frequency - domain masking technology is used to automatically attenuate the conflicting frequency points;

[0063] Specific working process: Measure the key - touch speed, acceleration, and continuous change of key - depth of the user on the classical piano through a three - axis pressure - sensitive sensor, and use an infrared laser displacement sensor to monitor the movement curve of the hammer before hitting the string in real - time, obtaining the initial key - strike force peak value, decay slope, double - strike interval time, and the linkage delay between the sustain pedal and the damper. Use the asymmetric double - exponential decay model to simulate the non - linear process of energy transfer after the hammer hits the string, analyze the key - touch dynamic sequence, use the temporal convolutional network to encode the key - touch dynamic sequence, extract the key - touch style features, transfer them to the digital piano, then record multilayer dynamic sampling, arrange the 128 keys on different layers, switch the sampling layer in real - time according to the key - touch speed, and superimpose the resonant after - sound of physical modeling. A linear electromagnetic driver is equipped for the keyboard of the digital piano. The key resistance is increased when playing forte to simulate the real hammer - strike recoil, and the resistance is reduced and subtle vibrations are added when playing piano to simulate the string after - shock. Set up the lead - instrument unit and the accompaniment - instrument unit, preferentially retain the bright - ness frequency band of 2 - 5 kHz emitted by the instruments in the lead - instrument unit, and use the FFT frequency - domain masking technology to automatically attenuate the conflicting frequency points for the instruments in the accompaniment - instrument unit;

[0064] Furthermore, through the external module, the key-touching habits of classical pianos are transferred to digital pianos, enhancing the playing experience of digital pianos, reproducing the complex harmonic attenuation characteristics of classical pianos, making them closer to classical pianos in terms of key-touching feel and tone performance, enriching the tone and touch effects of digital pianos, and optimizing the sound effects during multi-instrument ensemble performances using the multi-device collaboration module, avoiding sound conflicts between instruments, making the sounds of each instrument more harmonious and unified, and enhancing the overall quality of the performance and the layering of the music.

[0065] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and the descriptions in the specification are only used to illustrate the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and all such changes and improvements fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent musical instrument timbre adjustment system, characterized in that: It includes data acquisition module, force division module, sound analysis module, external module and multi-device collaboration module; The data acquisition module collects piezoelectric sensors and installs them on musical instruments. The piezoelectric sensors are used to collect the force and speed of the performance in real time, obtain characteristic force information and characteristic speed information, establish a classic unit, and collect various music information at the same time, and divide it into the main song part and the chorus part, and then record it in the classic unit; The intensity division module extracts characteristic intensity information and characteristic speed information, then divides the characteristic intensity information according to the scale, analyzes the intensity information applied on different scales, obtains the scale intensity information, establishes a multiple basis, then calculates the multiples of the scale intensity information, obtains the intensity multiples, divides the intensity verse and the intensity chorus according to the intensity multiples, and obtains the intensity music information; The sound perception analysis module extracts music information and establishes editing units and standard units. Then, the music information is entered into the standard unit and split into notation elements to obtain standard elements. When the user plays music, he / she will record it synchronously to obtain characteristic music. Then, the difference information between the characteristic music and the standard elements is analyzed to form characteristic music information unique to the user and record it into the editing unit. The external module includes an external device, extracts the dynamic music information and the characteristic music information recorded in the editing unit, and records it in the external device, and at the same time sets a priority for the external device, so that the priority of the external device is higher than the priority of the classic unit in the musical instrument, so that when the instrument is played, the content recorded in the external device will be executed first, thereby adjusting the timbre of the musical instrument; The multi-device collaboration module uses an ultra-low latency wireless protocol to build a musical instrument cluster network, and then adjusts the gain distribution ratio in real time based on the RMS energy value of each part.

2. The intelligent musical instrument timbre adjustment system according to claim 1, characterized in that: After the characteristic speed information in the data acquisition module is obtained, the time intervals between different scales are analyzed to obtain the scale interval time, and then the average scale interval time is calculated, and the rhythm verse and the rhythm chorus are divided according to the average scale interval time.

3. The intelligent musical instrument timbre adjustment system according to claim 2, characterized in that: When calculating the average scale interval time in the data acquisition module, the scale interval time is assumed to be J. S , let the number of scale intervals be P, let the average scale interval time be J 平均 ; The average scale interval time is calculated according to the above formula, and then the scale area below the average scale interval time is included as the rhythm chorus, and the scale area above the average scale interval time is included as the rhythm verse.

4. The intelligent musical instrument timbre adjustment system according to claim 1, characterized in that: When calculating the force multiple in the force division module, the scale force in the scale force information is analyzed, and the multiple basis is set as B 基础 , let the Xth scale intensity be D X , let the force multiple be L 波动 : The intensity multiples are calculated according to the above formula, and all intensity multiples are counted to obtain a multiple table.

5. The intelligent musical instrument timbre adjustment system according to claim 4, characterized in that: When the verse and chorus in the intensity division module are divided, an auxiliary song proportion unit will be established simultaneously, and the user has the authority to edit the auxiliary song proportion unit, so as to use the auxiliary song proportion unit to adjust the ratio between the verse and chorus, and then calculate the number of scale intensity information corresponding to the chorus according to the ratio between the verse and chorus, and then screen out the number of intensity multiples that match the number of scale intensity information, and analyze the corresponding scale intensity information to summarize it as the chorus.

6. The intelligent musical instrument timbre adjustment system according to claim 5, characterized in that: After the multiple table in the intensity division module is obtained, the selection permission of the intensity chorus is established synchronously. The user selects the range of the intensity chorus in the multiple table. After the user confirms the selection, it will be recorded and the corresponding intensity chorus information will be analyzed. The priority of the selection permission is higher than the priority of the chorus proportion unit.

7. The intelligent musical instrument timbre adjustment system according to claim 1, characterized in that: The external device in the external module also includes a migration unit, which measures the user's touch speed, acceleration and continuous changes in key depth on the classical piano through a three-axis pressure sensor, and uses an infrared laser displacement sensor to monitor in real time the movement curve of the hammer before hitting the string, obtains the initial key force peak, decay slope, continuous strike interval time and the linkage delay between the sustain pedal and the damper, and then establishes an asymmetric double exponential decay model, uses the model to simulate the nonlinear process of energy transfer after the hammer hits the string, analyzes the touch dynamic sequence, uses a temporal convolutional network to encode the touch dynamic sequence, and extracts the touch style characteristics.

8. The intelligent musical instrument timbre adjustment system according to claim 7, characterized in that: After the touch style features in the external module are extracted, they will be transferred to the electric piano to record multiple layers of dynamic sampling, arrange 128 keys on different layers, switch the sampling layers in real time according to the touch speed, and superimpose the resonant tail sound of physical modeling. The keyboard of the electric piano is equipped with a linear electromagnetic driver, and tactile feedback is generated in reverse according to the tone requirements. When playing strong notes, the key resistance is increased to simulate the real string recoil. When playing soft notes, the resistance is reduced and subtle vibrations are added to simulate the string aftershocks, thereby migrating the touch habits of the classical piano to the electric piano.

9. The intelligent musical instrument timbre adjustment system according to claim 1, characterized in that: After the instrument cluster network in the multi-device collaboration module is established, a main instrument unit and an accompaniment instrument unit are established, the types of the main instrument and the accompaniment instrument are analyzed, and they are recorded in the main instrument unit and the accompaniment instrument unit respectively. When performing, the 2-5kHz brightness frequency band emitted by the instruments in the main instrument unit is preferentially retained, and for the instruments in the accompaniment instrument unit, the FFT frequency domain mask technology is used to automatically attenuate the conflicting frequency points.

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