Method for freely switching timbre by using plectrum

Abstract

The embodiment of the invention provides a method for freely switching timbres by using a plectrum. The method comprises the following steps: S101, selecting a specified timbre mode through the plectrum to generate an initial timbre configuration instruction; s102, inputting the generated initial timbre configuration instruction into a preset algorithm, and starting a noise shielding mechanism in a signal path at the same time to ensure that no extra interference is introduced into a transmission path; s103, the timbre configuration processed by the algorithm is fused with user-defined parameters, optimization is carried out, and a final configuration file is formed; and S104, storing and memorizing user settings based on the fused final configuration file, so that the user settings are not influenced by equipment restart and can be automatically applied to the next tone switching process.

Description

Technical Field

[0001] The present application relates to the technical field of musical instrument playing, and in particular to a method for freely switching timbres using a pick. Background Art

[0002] The pick-to-pick method is designed to allow users to quickly and easily switch between different preset sounds through simple physical or electronic means. With just a flick of the pick, users can select the desired sound effect or synthesis parameter, allowing for diverse expression during playing.

[0003] However, this method faces two major challenges: First, there is the problem of interference between different tones. Due to the influence of noise in the signal transmission path, when quickly switching from one tone to another, unexpected audio interference or noise may be generated. Therefore, it is necessary to implement effective noise shielding on the signal transmission path to ensure that each tone is clear and independent; Secondly, to solve the problem of configuration loss after the device is restarted, a memory storage function for user-defined tone parameters should be introduced, that is, a corresponding mechanism should be developed to save the user's personalized settings and automatically restore these configurations when the device is started next time to maintain consistency and continuity of user experience. Summary of the Invention

[0004] In view of this, the embodiments of the present disclosure provide a method for freely switching tones using a pick, which at least partially solves the problems existing in the above-mentioned prior art.

[0005] A method for freely switching tones using a pick, comprising: S101, selecting a designated timbre mode by a pick to generate an initial timbre configuration instruction; S102: Input the generated initial timbre configuration instruction into a preset algorithm, and simultaneously activate a noise shielding mechanism in the signal path to ensure that no additional interference is introduced into the transmission path; S103, the timbre configuration processed by the algorithm is integrated with the user-defined parameters to optimize and form a final configuration file; S104: storing and memorizing user settings based on the final configuration file after the fusion, so that the user settings are not affected by device restart and can be automatically applied in the next tone switching process.

[0006] Preferably, the method further comprises: starting a specific signal processing module based on user interaction input; Adding a filtering layer in the signal transmission path to shield noise, the filtering layer includes but is not limited to low-pass, high-pass and band-pass filters; The user's customized tone parameters are memorized and stored through the built-in storage unit to ensure that the configuration remains consistent after the device is restarted; If the calculated signal-to-noise ratio (SNR) is less than the minimum threshold (SnrMin), an additional denoising algorithm is added to enhance the signal. Here, SNR refers to the ratio of the actual transmitted signal to the background noise intensity, and SnrMin represents the minimum signal-to-noise level allowed by the system. This effectively solves the problem in S102 (how to shield noise in the signal transmission path) and ensures that the memory storage feature mentioned in S103 is not interrupted by a reboot.

[0007] Preferably, the method includes the following more specific contents to improve the noise resistance and parameter memory capabilities: Utilizes hardware acceleration components to increase real-time processing speed in the signal path, ensuring audio signal quality and reducing the impact of external noise; Use flash memory or other persistent storage media to store configuration information, and design it to be able to determine whether to restore settings from non-volatile storage based on status bits checked at system startup; Dynamically optimize filter parameters under different environmental conditions based on machine learning models to improve the accuracy of switching between tones in different scenarios; If the detected environmental variable change rate dE is greater than a predetermined coefficient K, a full calibration operation is performed: C(dE) = 1 if dE>K, where K is a preset sensitivity threshold and dE represents the absolute mean of the difference between two consecutive samples. C(dE) is used to mark whether to trigger the full calibration process. This approach helps S102 by reducing the impact of noise caused by external interference and solving the problem described in S103.

[0008] Preferably, the steps are further refined to include the following steps to ensure stronger data security and stability: Prompt the user to set a PIN or other authentication mechanism when entering setup mode for the first time; Implement data access control based on the identity identification information established in the previous step to prevent illegal writing or reading of important sound parameters; Encoding the data stream to be stored in non-volatile memory using an encryption algorithm increases protection against malicious attempts at tampering or eavesdropping; Before each normal shutdown, check whether there is an unfinished task queue U and process it according to the following logic: if U exists, execute all remaining jobs until U is cleared before entering sleep; if U is not found, shut down directly to save the current state. This solution can well support long-term preservation of user preferences while coping with sudden power outages.

[0009] Preferably, more detailed adjustments are made on the above basis to better serve project.name, including the following improvements: Provide a visual interface to help users more intuitively adjust the weight factor Wb corresponding to each frequency band; A feedback loop is introduced to continuously correct for slight deviations caused by the paddle-triggered switching, and the adjusted optimal value is recorded for future use; Intelligently allocate storage space to different music libraries based on cumulative play time and historical usage patterns; If the proportion of total capacity occupied by a music library, Pr, exceeds the specified range, Lm, a prompt will be issued suggesting deleting some items or expanding the capacity. Here, Pr = the size of the category divided by the total available resources, and Lm is the preset upper limit. This mechanism helps prevent the expansion of a single category from affecting other services.

[0010] Preferably, in order to enhance user experience and ensure system flexibility and reliability, the following technical measures are proposed: Implementing cross-platform synchronization functionality enables the same app on multiple devices to seamlessly connect to a shared sound library; Developing cloud backup options to allow users to save personalized sound archives online and easily access them through their accounts; Track the user's movements during the performance based on timeline mapping technology, and generate detailed statistical data reports; Whenever a certain cumulative operation volume Oc is reached, the possibility of subsequent demand is predicted based on empirical statistics, and the required resources Ft(F(Oc))=F(α+β*Oc) are loaded in advance. Here, α is the number of basic loading threads, β reflects the coefficient of the increase in the number of additional calls brought about by a unit increment, and Ft represents the set of workflows prepared in advance. This formula aims to optimize the preloading mechanism to reduce potential delays.

[0011] Preferably, special attention is paid to several features that enhance the immediate response of the system, which are: Building a multi-channel hybrid mode allows performers to seamlessly switch between traditional physical touch and smooth electronic sensing at any moment; Strengthened the background scheduling logic to give priority to the foreground to obtain sufficient computing resources to maintain a smooth experience; Separate different types of audio effect plug-ins through microservice architecture and deploy them in combination as needed; If the time between the most recent activation and the last automatic maintenance exceeds the set interval Dx, a lightweight cleanup is performed immediately without affecting the ongoing performance; that is, if the latest maintenance date ts at the current time t>Dx, the fast self-maintenance sub-process M(t) is started; here Dx means the length of time at which the routine inspection cycle should be performed at the latest; this strategy effectively improves the stability of the entire system.

[0012] In order to further consolidate existing advantages and expand more application scenarios, several important features have been added: Integrated Internet of Things (IoT) interface enables smart home systems to coordinate and adjust the surrounding environment to match the current music; Open software development kits (SDKs) encourage third-party developers to expand features and services beyond the official base. Automatically retrieve a list of recommended tracks by nearby artists based on geolocation information to promote cultural exchange and sharing activities; Taking power consumption into consideration, during idle periods, the device determines whether to enable energy-saving mode Es(B, P) based on the device's internal battery level B and external power supply status P. Specifically, the Es function determines whether to limit the CPU frequency based on the remaining charge level of B and the presence of a stable AC power supply (P), thereby balancing the contradiction between long battery life and high performance.

[0013] The embodiments of the present disclosure provide a method for freely switching tones using a pick. Through the solution of the embodiments of the present disclosure, it is possible to solve the problem of how to shield noise in the signal transmission path to solve the interference problem between different tones; it is possible to solve the problem of how to memorize and store user-defined tone parameter settings to solve the problem of configuration loss after the device is restarted. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions of the exemplary implementation methods of the embodiments of the present disclosure, the following is a brief introduction to the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the embodiments of the present disclosure and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without creative work.

[0015] Figure 1 This is a flowchart of a method for freely switching tones using a pick. DETAILED DESCRIPTION

[0016] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a..." does not exclude the presence of additional identical elements in the process, method, article, or device comprising the element.

[0017] Next, referring to the accompanying drawings, a method for freely switching timbres using a pick is described. The method primarily comprises the following steps: first, selectively triggering the pick generates different control signals, each corresponding to a preset or user-defined timbre. These control signals are then fed into a processing module for analysis and, according to corresponding rules, converted into a form suitable for understanding and execution by external devices. Third, an optimized algorithm is employed to transmit the processed information to the effects unit responsible for generating and adjusting the timbre. Multiple shielding techniques and dedicated circuit designs are employed in this process to minimize any noise that may arise along the transmission path, effectively eliminating interference between different timbres. Furthermore, an efficient and reliable localized memory storage solution is introduced for user-created and stored sound preferences, ensuring that all personalized configurations remain intact even after a device reboot or other operations. Finally, intuitive feedback is provided through physical buttons or an intelligent interface, allowing performers to conveniently switch timbres and monitor and adjust them in real time without losing focus on their current musical expression.

[0018] Specifically, to achieve the goal of fast and accurate tonal switching, we have developed a pick system based on a unique coding scheme. Each pick is integrated with a sensor device and a communication module. When touched by the user, it can instantly transmit a unique identification code to the main control center, thus completing the selection action without any complicated operation. The control system then identifies which type of sound characteristic template should be loaded based on the received data, thereby achieving a smooth and seamless process. In one embodiment, imagine a rock guitarist who wants to be able to easily change the sound texture of the electric guitar during a performance, such as the strong distortion effect of metal music and the soft and warm tone of folk music. At this time, he only needs to slide several touch-sensitive picks with different colors in his hand according to his pre-arranged sequence to activate their corresponding target states in turn.

[0019] To address the issue of shielding noise in the signal transmission path within the S102 and thus resolve interference between different tones, we paid special attention to the design principles of the overall architecture when constructing the circuit structure, ensuring that the connections between the various components are both efficient, compact, and isolated from each other. This involves wrapping key components in custom shielding cases and using differential line connections to enhance noise immunity and stability. Furthermore, we incorporated dynamic filtering compensation measures at the program level, flexibly adjusting the threshold level based on changes in actual operating environment parameters to effectively suppress the adverse effects of external factors.

[0020] In another application scenario, for example, a professional audio studio may have a variety of complex and intertwined electronic instruments. In this case, our equipment, with its excellent noise control characteristics, can still operate stably even in the face of high-intensity background electromagnetic radiation to ensure that the quality of the original data stream in each channel will not be significantly lost, resulting in damage to the output mixing results and affecting the overall quality of the work.

[0021] Regarding how to memorize and store user-defined tone parameter settings in the S103 to solve the problem of configuration loss after the device is restarted, it involves more advanced hardware combined with non-volatile storage media technology, such as E2PROM or a special partition on the built-in microcontroller. Every time the player completes personalized adjustments, the corresponding information will be promptly backed up here to form a dedicated memory bank. In this way, every time the system is turned on, it can quickly retrieve the previous parameters and then restore the entire working mode without having to re-enter the settings, greatly improving convenience and user experience.

[0022] For example, a DJ artist has many unique signature sound clips. He often emphasizes personalized auditory impact according to different parties. Therefore, he always spends a lot of time carefully adjusting the various parameters of his synthesizer in the early stage of the event. Once this equipment is integrated with this permanent parameter protection method, he only needs to focus on the creation and performance itself in each subsequent performance, eliminating the trouble caused by repetitive work and allowing creative inspiration to be continuously and stably exerted.

[0023] Next, the present invention describes the generation of an initial timbre configuration instruction by selecting a designated timbre mode through a pick; The specific steps are as follows: First, the identification and activation stage is carried out. This refers to the state in which the user starts the relevant program in the music device, allowing the system to receive physical action instructions. In this state, the device can respond to user operations such as changes in the movement of the pick position. When the activation signal is received, it means that it has entered a preparatory state to prepare to execute a specific command process according to the pick action. This process is the basis for the implementation of subsequent steps. For example, in a usage scenario based on an electronic keyboard, after the performer touches the power button, the indicator light on the keyboard lights up, indicating that the instrument is ready to wait for the pick selection behavior.

[0024] Next comes the pick positioning and mode determination stage. In this stage, for a pick with multiple settings, specific sound modes are associated with each gear. Each position corresponds to a unique set of sound settings. These setting sets cover a variety of sound effect characteristic parameters. Specifically, if the pick is regarded as having three optional positions, it will represent clear sound (ideal for solo tracks), heavy bass (enhanced the expressiveness of the bass part) and synthetic reverb effect, each mode has its own unique sonic characteristics.

[0025] Then comes the stage of acquiring timbre mode information. That is, when a specific timbre mode is selected, the device must be able to understand the content of the currently selected mode. This includes a series of parameters pre-stored in the device, such as brightness, pitch range, etc. Each parameter has its own reasonable range value and optimal selection, which are used to construct an ideal sound waveform deformation model. For example, in the above example, for bright sound effects, the brightness may be set between 65% and 90%. Too high a value will cause distortion, and 75% to 85% is the preferred value range, because this value range can produce an ideal sound experience that is neither harsh nor clear and pleasant.

[0026] Then enter the encoding conversion process; the selected information in this process will be converted into corresponding code instructions so that the processing system can further operate and utilize it; the encoding method can vary according to the specific design, but the overall idea is to simplify information transmission and efficient reading; for example, a simple binary mapping or a more advanced compression algorithm is used in the encoding method.

[0027] The final step is to send and apply the initial configuration command, which communicates the previously programmed tone setting instructions to the internal or external hardware, and begins to operate according to the new rules to adjust the sound structure to achieve the desired tone switching result, so that the final output meets the expected sound characteristics. This completes a complete process from manual operation to automatic device adjustment.

[0028] Next, the present invention is described as inputting the generated initial timbre configuration instruction into a preset algorithm, while activating the noise shielding mechanism in the signal path to ensure that no additional interference is introduced into the transmission path.

[0029] In the first step, the generated initial tone configuration instructions must be prepared and entered; this refers to a set of commands designed according to the desired final sound effect, which contains information on multiple factors such as frequency response characteristics, harmonic composition, decay time, etc. For a music performance application, such as the method scenario of freely switching tones with a pick, the corresponding parameters for different tones such as clean or distorted acoustic guitar and electric guitar will be set in advance in this step; each parameter has its own range, usually between 20Hz and 20kHz in terms of frequency range, and the optimal value is selected based on the human ear's perception of audio characteristics and the specific instrument spectrum; the harmonic distortion rate is controlled at an appropriate proportion to ensure rich details without appearing too rough.

[0030] The next step is to process the preset algorithm; this means passing the above-mentioned tone instructions to the preset algorithm according to the established logical structure, and the algorithm can interpret and correctly apply the tone configuration to the subsequent process; in one embodiment, this may be a process executed within a digital signal processor (DSP); for example, in the aforementioned pick system, assuming there is a mapping function y = fx, the formula represents that the algorithm f transforms the tone parameter x to obtain the desired tone output y. By carefully adjusting the various coefficients within the formula, it is ensured that each call accurately reproduces the specified tone, so that the selected sound effect changes naturally and smoothly each time the user uses the pick to switch.

[0031] Then, activating the noise shielding mechanism in the signal path is an important step in ensuring the purity of the audio signal during transmission and conversion. This process means taking multiple measures to prevent any unnecessary external or hardware-generated noise from being mixed into the target audio track. Specifically, it can be imagined that in a device environment with a free switching mechanism, the circuit design incorporates active noise cancellation elements and filtering strategies, and uses mathematical modeling to combat known types of noise sources, maintaining high quality from the pick to the pickup and then to the amplification part.

[0032] In summary, the above steps are closely linked and work together to achieve a high-quality, low-interference customized music creation experience.

[0033] Next, we describe how the algorithm-processed timbre configuration is integrated with user-defined parameters to optimize and form the final configuration file. The algorithm analyzes the initial timbre configuration to generate a set of basic parameters, and then applies a specific algorithm to this data to optimize the values ​​of each parameter. For example, during the analysis process, the algorithm adjusts factors such as the frequency response curve and overload response according to pre-established mathematical formulas, so that the output sound better meets the preset target characteristics or application scenario requirements.

[0034] After obtaining these optimizations, the next key step is to integrate the ideal parameter sets determined by the algorithm with the preferences set by the user. Specifically, this operation is not just a simple addition, but takes into account the proportional relationship of their respective influencing factors and possible synergistic effects. Assume that a regulation factor w is used to control this process: C_final = C_algorithm*(1-w)+C_user*w, where C_algorithm is the processed standard parameter set; C_user represents the various indicator requirements specified by the individual; w expresses a balance mechanism with a value range between 0 and 1. 0.5 is chosen as an ideal starting point, which means giving equal weight to system suggestions and technicians' subjective feelings.

[0035] Taking a method of freely switching tones with a pick as an example, in one embodiment, when a performer sets an electric guitar track that desires heavier low-frequency and brighter high-frequency effects, w is set lower, closer to 0.2, and is therefore more inclined to rely on the recommended value carefully adjusted by a professional audio team. On the other hand, if the artist prefers his or her own unique stylistic tendencies, w will be increased to, for example, around 0.8 or even higher, to highlight the individual color without being overly restricted by the sound effects presentation in the inherent mode.

[0036] Finally, based on the results of the above fusion calculations, a global review and evaluation is conducted again to ensure that the original intention or the actual operating conditions of the hardware are not violated. If necessary, the proportions of each component can be fine-tuned until the most suitable combination for the current use is found. This final configuration file is then written into the corresponding electronic musical instrument device for actual performance use.

[0037] Next, the present invention describes how to store and memorize user settings based on the final configuration file after the above fusion, so that it is not affected by the device restart and can be automatically applied during the next tone switching process. The steps include: creating and configuring a persistent configuration file; realizing effective interaction between the configuration file and the system kernel and application; automatically reading the setting parameters from the configuration file after detecting a restart; and automatically applying the previously stored settings when detecting a user-triggered tone switching.

[0038] First, create a persistent configuration file that defines in detail the various parameters of different tone modes. For example, the unique attribute values ​​associated with each tone involved in the tone switching method are determined by the specific instrument type. If the guitar is used as the discussion object, the configuration of each tone may cover pick pressure, pickup sensitivity, etc. Assume the formula is \(C=\alpha*A + \beta * B\), where \(C\) represents the result of tone matching, \(A\) represents the waveform characteristics of the original sample, and \(B\) is the degree of user-defined gain or distortion. The parameters \(\alpha,\beta\) control the weight relationship between these two parts. The selection of the optimal value depends on the actual musical environment and needs, aiming to balance the coordination between the degree of restoration and the personal expression effect. In this example, when \(\alpha=\beta=0.5\) is set, it means that the two contribute equally, which can meet certain creative needs while ensuring a natural listening experience.

[0039] Secondly, effective communication between the configuration file and the operating system and the corresponding sound adjustment software is achieved, so that even if the device is turned on and off multiple times, the setting status remains consistent. For example, by integrating the configuration information into a service process with a higher startup priority or a core position, it can ensure that once the system is loaded, it can be quickly restored to the previous state for continued use.

[0040] Each time the device restarts and enters stable operation, a dedicated service is responsible for immediately parsing the data records saved in the non-volatile storage device and redeploying them to the current environment. This operation not only shortens the time required for users to readjust parameters, but more importantly, reduces the possibility of the performance experience being affected due to forgotten settings.

[0041] The final step is to establish a monitoring mechanism to track the user's operating actions and automatically update the corresponding options or presets according to pre-existing rules when a pick-free switching operation is detected. Specifically, in one embodiment, if the user uses a dedicated tool to change the guitar's sound effect mode to a specific type under the rock category, this selection will be remembered for subsequent times regardless of how many times the guitar is turned on and off. The next time the same type of audio style conversion is encountered, the same parameter setting combination will take effect immediately without manual intervention.

[0042] Next, the specific method of the present invention is described, including the following more specific content to improve noise resistance and parameter memory capabilities: using hardware acceleration components to improve the real-time processing speed in the signal path, ensuring the quality of the audio signal and reducing the impact of external noise. This means that adding a dedicated high-speed processing unit to the audio device can quickly respond to and process the action input from the paddle, ensuring that the sound is transmitted without distortion while resisting surrounding interference. For example, in one embodiment, when the paddle is switched to a certain mode, the hardware can instantly process the instruction to minimize latency.

[0043] Flash memory or other persistent storage media is used to save configuration information, and the system is designed to determine whether to restore settings from non-volatile storage based on a status bit checked when the system starts. This measure is intended to remember user preferences or the last used tone for a long time, and will not affect the user experience even after the device is powered off and restarted. In one embodiment, if the bass enhancement effect was used last time, this option will still be retained as the default configuration when the device is turned on next time, greatly facilitating player adjustments.

[0044] Based on machine learning models, filter parameters are dynamically optimized under different environmental conditions, thereby improving the accuracy of switching between timbres in different scenarios. This refers to predicting the optimal sound performance parameter combination through pre-trained algorithms. For example, for different music types or performance environments, the system can select the most appropriate sound filter based on the current scenario. This not only improves the sound quality, but also enhances the flexibility to adapt to various changes.

[0045] If the detected rate of change of the environmental variable dE exceeds a predetermined coefficient K, a full calibration is triggered. Here, the rule C(dE) = 1 if dE > K is defined. dE in the formula represents the mean of the absolute differences between two consecutive samples. K is the sensitivity threshold, typically selected based on the application scenario, with a recommended range of [0.2, 1.0]. C(dE) is a process flag that indicates whether a complete recalibration of the entire system is necessary. Its initial state is generally zero (no special correction is performed). In the event of increased on-site noise—for example, a sudden increase in the venue's clamor or a sharp rise in temperature causing slight performance drift of electronic components—this judgment criterion is activated, initiating corresponding optimization actions. This helps reduce error accumulation due to external factors and effectively addresses potential issues arising from these factors. The formula logic in this setting simply and directly determines when to take preventative measures to prevent excessive error accumulation from impacting actual performance.

[0046] Next, the present invention is described as further refined to include the following steps to ensure stronger data security and stability: when entering the setting mode for the first time, the user is prompted to set a PIN or other verification mechanism. This process is intended to enhance the initial entry security of the system and ensure that only authorized users can make changes or settings to the system parameters. In one embodiment, for example, when the user first starts the tone configuration interface of the musical instrument, a dialog box will pop up on the interface, requiring the setting of a personal identification number (PIN) consisting of 4 to 8 digits. The PIN will be used as the only credential for entering the tone setting mode in the future.

[0047] Data access control is implemented based on the identity identification information established in the previous step to prevent illegal writing or reading of important tone parameters. This step mainly grants or denies permissions by comparing the input identity with the stored identity information, ensuring that the data stored in the device can only be read and written by authorized persons. In an actual application scenario, when attempting to change the attribute value of a specific tone, specifically, it is necessary to reconfirm the previously set PIN to obtain access rights, preventing any unauthorized operations from modifying important setting parameters, thereby maintaining the security and stability of the device settings.

[0048] The data stream to be stored in non-volatile memory is encoded using an encryption algorithm, providing added protection against malicious attempts at tampering or eavesdropping. This data protection is designed to defend against potential external threats targeting sensitive data. Specifically, the Advanced Encryption Standard (AES) can be used. Parameters include the plaintext data to be encrypted, the key, and the selected block mode (such as CBC). The optimal key length is typically 128 bits or longer to increase the difficulty of cracking. This ensures that even in the event of unauthorized physical access or remote attack, important data such as tone presets remains secure from third-party access or compromise.

[0049] Before each normal shutdown, a check is made to see if there is an unfinished task queue U, and unfinished tasks are processed according to specific logic. If there is a task, it must be executed until the task queue U is cleared before entering the sleep state; if the task queue is empty, the power is directly cut off and the state is saved. This logic is designed to deal with the risk of data loss caused by emergencies, and also supports the user's preferred persistent storage function to facilitate rapid recovery to the most recent state during subsequent use. For example, a specific implementation method is to immediately freeze the current work progress and send a query signal to the processor to retrieve all pending instructions after detecting a notification signal that the power supply is about to end. Once there is an unresolved adjustment request, it continues to run until all adjustments are fully implemented; on the contrary, if there is no pending operation instruction set, the power-off procedure is quickly executed and the latest valid system parameters are recorded. In this way, the user can safely shut down the device without losing the current progress, and can continue the previous creation or practice activities the moment the power is turned on again.

[0050] Next, we made more detailed adjustments based on the above to better serve project.name, including the following improvements: A visual interface has been further added to the basic solution. This interface is designed to enable users to more intuitively adjust the weight factor \( W_b \) corresponding to each frequency band. Specifically, through a graphical interface, users can adjust the degree of influence of a specific frequency band on the overall sound characteristics in real time through simple interactive methods such as dragging, clicking, etc. For example, in one embodiment, for the classical guitar tone design scenario, using this visual tool, users found that increasing the weight of the 20Hz-40Hz frequency band by 5% can significantly enhance the low-frequency resonance without losing the overall balance.

[0051] A feedback loop has been introduced to correct for subtle tonal drift caused by plectrum switching, ensuring consistent, high-quality output. This process involves continuous sampling and automatic adjustment. The system automatically corrects errors caused by hardware fluctuations after each trigger, and then stores the optimized parameters for subsequent reference. For example, if it is detected that a certain plucking causes the high-frequency attenuation to exceed the standard threshold of 3dB, the optimal compensation amount is immediately calculated and loaded to restore the ideal state. At the same time, these optimal parameters are saved for instant reading in the same situation.

[0052] Intelligently plan storage layouts for each music library based on cumulative play time and historical patterns. It assesses each library's importance to current needs based on past usage, and rationally allocates remaining hard drive resources to meet actual requirements. For example, in a certain electronic synthesizer software, bass loops have long been a core element of creation and occupy a large portion of the memory space. The algorithm prioritizes ensuring that this portion of the capacity is not encroached upon and reserves redundancy for expansion. In order to prevent the excessive growth of a single category from disrupting global coordination, a limited ratio monitoring and early warning system is set up. When the percentage of occupancy of any type \( Pr =\frac{C_t}{T_r} > L_m \) (where C_t expresses the overall size of the category itself and T_r) touches the preset boundary Lm, it will remind us to clean up unnecessary data or expand the overall capacity to avoid the spread of negative impacts and achieve optimal resource allocation. The setting of Lm depends on the specific environment and expected functional allocation.

[0053] Next, in order to enhance the user experience and ensure the flexibility and reliability of the system, the present invention proposes the following technical measures: realizing cross-platform synchronization function so that the same applications on multiple devices can be seamlessly connected and share the sound library. Specifically, the sound parameters set or adjusted by the user on any device can be updated in real time to other devices connected to the same account. This function not only simplifies the management of setting operations in a multi-platform application environment, but also ensures consistency and compatibility. For example, a user can maintain a consistent operating experience between a tablet computer at home and a mobile phone carried with him / her through cloud services.

[0054] Developing a cloud backup option allows users to save personalized sound files online and easily restore them through their accounts. This step provides users with a centralized, reliable, and secure data storage method. It solves the problem of high risk of data loss due to local storage and enables users to quickly retrieve previously used sound presets when initially setting up a new device. Specifically, when preparing for a new performance, users can directly call up classic pick switching effects that have been widely praised in previous performances from cloud backups.

[0055] By using timeline mapping technology to record all the action paths generated by the user during performance and generate detailed statistical and data analysis reports based on them, this approach not only helps to gain a deeper understanding of the needs and characteristics of different users, but can also be used to improve product design and performance. In one embodiment, the system may monitor the preference trajectory of a professional keyboard musician for certain rapidly changing timbres during improvisation, in order to optimize the interface response efficiency and timbre library structure.

[0056] Whenever a certain amount of operations accumulates to Oc, the empirical formula F(Oc)=F(α+β*Oc) is used to predict potential subsequent demand trends and preload related resources. In the formula, α is the number of basic threads, which is usually a positive integer and the optimal value is set according to the device's computing power; β is the increase coefficient of the number of calls brought about by the increment. The adjustable parameter is selected within the empirical value range to reflect the effect of each incremental step, and Ft represents a set of workflows that are activated to complete the pre-preparation. The purpose of this mechanism is to minimize possible delays during actual operation. For example, in a continuous performance, assuming that the prediction model is triggered every 30 timbre changes, based on historical behavior analysis, we can know which audio processing components are most likely to be needed in the next 1-2 minutes, and appropriately increase their startup priority and loading timing, thereby improving the overall performance fluency.

[0057] Next, the present invention will be described with particular attention to several features that enhance the immediate response of the system, which are: Building a multi-channel hybrid mode allows performers to seamlessly switch between traditional physical touch and smooth electronic sensing at any moment. This method achieves seamless switching between the two by providing two different input paths: a mechanical trigger mechanism (such as a pick plucking a string) and a sensor reading method. Regardless of which method the performer chooses to interact, the sound processing logic can follow synchronously without affecting the musical performance, providing flexibility and stability for performance. For example, the performer can quickly switch from mechanical triggering to using a sensor pick to adjust the tone, and switch freely between the two states.

[0058] The background scheduling logic has been strengthened to ensure that the foreground is given priority access to sufficient computing resources to maintain a smooth experience. The focus of the optimization here is on intelligent algorithms to ensure that even in high-load scenarios, the user's direct control part can still run stably without lag or lag. This means that any information from the input device can be quickly transmitted to the core system module to complete subsequent processing tasks. In one embodiment, when the performer adjusts the audio synthesis parameters to change the sound style, these requests can be processed immediately to avoid delays and frame drops.

[0059] The strategy of separating different types of audio effect plug-ins through a microservice architecture and deploying them in combination on demand breaks down complex audio processing functions into smaller, independent service units. The benefit of this decoupling is that the failure of a single component will not have a significant impact on the entire system, and resources can be dynamically allocated to support the required special effects based on actual conditions. Specifically, during the preparation of a concert, staff can arrange the corresponding effects chain in advance according to the type of instrument, so that the appropriate filtering, echo, or chorus processing processes can be called at any time when the performance begins.

[0060] If the interval between the most recent activation and the last automatic maintenance exceeds the set interval Dx, a lightweight cleanup is immediately performed without affecting ongoing performances. Dx refers to a routine health scan that should be performed within the set period at the latest to determine whether there are any potential performance loss factors. The parameter ts indicates the time of the last maintenance, and time t represents the current real-time progress. If t - ts > Dx, a series of automated inspections and corrective measures named M(t) are triggered. This helps to continuously optimize internal operational efficiency and extend overall durability. The developer can specify a reasonable value range for the parameter Dx based on different application requirements. It is generally recommended that a complete inspection cycle be every 24 hours to 7 days to ensure timely detection of problems. The optimal configuration depends on the specific characteristics of the actual working environment.

[0061] The above technical means work together to ensure the reliability and stability of freely switching tones with a pick.

[0062] The above is a preferred embodiment of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles described in the present invention. These improvements and modifications should also be regarded as the scope of protection of this application.

Claims

1. A method for freely switching timbre using a pick, characterized in that: include: S101, selecting a designated timbre mode by a pick to generate an initial timbre configuration instruction; S102: Input the generated initial timbre configuration instruction into a preset algorithm, and simultaneously activate a noise shielding mechanism in the signal path to ensure that no additional interference is introduced into the transmission path; S103, the timbre configuration processed by the algorithm is integrated with the user-defined parameters to optimize and form a final configuration file; S104: storing and memorizing user settings based on the final configuration file after the fusion, so that the user settings are not affected by device restart and can be automatically applied in the next tone switching process.

2. The method of freely switching timbre using a pick according to claim 1, characterized in that: The method further includes: Starting a specific signal processing module based on user interaction input; Adding a filtering layer in the signal transmission path to shield noise, the filtering layer includes but is not limited to low-pass, high-pass and band-pass filters; The user's customized tone parameters are memorized and stored through the built-in storage unit to ensure that the configuration remains consistent after the device is restarted; If the calculated signal-to-noise ratio (SNR) is less than the minimum threshold (SnrMin), an additional denoising algorithm is added to enhance the signal. Here, SNR refers to the ratio of the actual transmitted signal to the background noise intensity, and SnrMin indicates the minimum signal-to-noise level allowed by the system. This effectively solves the problem of how to shield noise in the signal transmission path in S102 and ensures that the memory storage feature mentioned in S103 is not interrupted by restarting.

3. The method of freely switching timbre using a pick according to claim 2, characterized in that: The method includes the following more specific contents to improve the noise resistance and parameter memory capability: Utilizes hardware acceleration components to increase real-time processing speed in the signal path, ensuring audio signal quality and reducing the impact of external noise; Use flash memory or other persistent storage media to store configuration information, and design it to be able to determine whether to restore settings from non-volatile storage based on status bits checked at system startup; Dynamically optimize filter parameters under different environmental conditions based on machine learning models to improve the accuracy of switching between tones in different scenarios; If the detected environmental variable change rate dE is greater than the predetermined coefficient K, a full calibration operation is performed: C(dE)=1 if dE>K, where K is the preset sensitivity threshold and dE represents the absolute mean of the difference between two consecutive samples. C(dE) is used to mark whether to trigger the full calibration process. This method helps S102, reduces the noise impact caused by external interference, and solves the problem described in S103.

4. The method of freely switching timbre using a pick according to claim 3, characterized in that: The steps are further refined to include the following steps to ensure stronger data security and stability: Prompt the user to set a PIN or other authentication mechanism when entering setup mode for the first time; Implement data access control based on the identity identification information established in the previous step to prevent illegal writing or reading of important sound parameters; Encoding the data stream to be stored in non-volatile memory using an encryption algorithm increases protection against malicious attempts at tampering or eavesdropping; Before each normal shutdown, check whether there is an unfinished task queue U and process it according to the following logic: if U exists, execute all remaining jobs until U is cleared before entering sleep mode; If U is not found, the system will shut down and save the current state. This solution can well support long-term preservation of user preferences while coping with sudden power outages.

5. The method of freely switching timbre using a pick according to claim 4, characterized in that: Based on the above, more detailed adjustments have been made to better serve project.name, including the following improvements: Provide a visual interface to help users more intuitively adjust the weight factor Wb corresponding to each frequency band; A feedback loop is introduced to continuously correct for slight deviations caused by the paddle-triggered switching, and the adjusted optimal value is recorded for future use; Intelligently allocate storage space to different music libraries based on cumulative play time and historical usage patterns; If the proportion of total capacity occupied by a music library, Pr, exceeds the specified range, Lm, a prompt will be issued suggesting deleting some items or expanding the capacity. Here, Pr = the size of the category divided by the total available resources, and Lm is the preset upper limit. This mechanism helps prevent the expansion of a single category from affecting other services.

6. The method of freely switching timbre using a pick according to claim 5, characterized in that: To enhance user experience and ensure system flexibility and reliability, the following technical measures are proposed: Implementing cross-platform synchronization functionality enables the same app on multiple devices to seamlessly connect to a shared sound library; Developing cloud backup options to allow users to save personalized sound archives online and easily access them through their accounts; Track the user's movements during the performance based on timeline mapping technology, and generate detailed statistical data reports; Whenever a certain cumulative operation volume Oc is reached, the possibility of subsequent demand is predicted based on empirical statistics, and the required resources Ft(F(Oc))=F(α+β*Oc) are loaded in advance. Here, α is the number of basic loading threads, β reflects the coefficient of the increase in the number of additional calls brought about by a unit increment, and Ft represents the set of workflows prepared in advance. This formula aims to optimize the preloading mechanism to reduce potential delays.

7. The method of freely switching timbre using a pick according to claim 6, characterized in that: Special attention is paid to several features that enhance the system's immediate response, namely: Building a multi-channel hybrid mode allows performers to seamlessly switch between traditional physical touch and smooth electronic sensing at any moment; Strengthened the background scheduling logic to give priority to the foreground to obtain sufficient computing resources to maintain a smooth experience; Separate different types of audio effect plug-ins through microservice architecture and deploy them in combination on demand; If the time between the most recent activation and the last automatic maintenance exceeds the set interval Dx, a lightweight cleanup is immediately performed without affecting the ongoing performance; that is, if the latest maintenance date ts at the current time t>Dx, the fast self-maintenance sub-process M(t) is started, where Dx means the length of time at which the routine inspection cycle should be performed at the latest; this strategy effectively improves the stability of the entire system.

8. The method of freely switching timbre using a pick according to claim 7, characterized in that: To further consolidate existing advantages and expand more application scenarios, several important features have been added: Integrated Internet of Things (IoT) interface enables smart home systems to coordinate and adjust the surrounding environment to match the current music; Open software development kits (SDKs) encourage third-party developers to expand features and services beyond the official base. Automatically retrieve a list of recommended tracks by nearby artists based on geolocation information to promote cultural exchange and sharing activities; Taking power consumption into consideration, during idle periods, the device determines whether to enable energy-saving mode (Es(B, P)) based on the device's internal battery level B and external power supply status P. Specifically, the Es function determines whether to limit the CPU frequency based on the remaining charge level of B and the presence of a stable AC power supply (P) to balance the contradiction between long battery life and high performance.

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