Piano automatic tuning equipment based on AI

Abstract

The invention discloses automatic piano tuning equipment based on AI, which comprises an automatic piano tuning system, and the automatic piano tuning system comprises a pitch data acquisition module, a signal processing and analysis module, an error detection and calculation module and an automatic tuning and feedback module. The pitch data acquisition module is electrically connected with a vibration sensor used for acquiring piano signals, and the vibration sensor can acquire the vibration frequency and pitch data of each string of the piano. And the signal processing and analyzing module can pre-process the audio data acquired by the pitch data acquisition module to remove and optimize noise and interference so as to obtain clean audio frequency data, and then analyze spectrum data. The invention relates to the technical field of piano tuning, in particular to automatic piano tuning equipment based on AI (artificial intelligence), which can utilize artificial intelligence to replace manual operation to complete piano tuning tasks and improve the accuracy of piano tuning.

Description

Technical Field

[0001] The present invention belongs to the technical field of piano tuning, and in particular relates to an AI-based automatic piano tuning device. Background Art

[0002] The piano is a precision musical instrument. When the piano is in use, the vibrations caused by the hammers hitting the strings, as well as the frequency and strength of the continuous strikes, will cause the piano strings to vibrate violently and cause the pitch to deviate. Therefore, the piano needs to be tuned regularly to ensure the sound quality of the piano. Traditional piano tuning methods are usually done manually, which requires the tuner to have professional skills and experience.

[0003] Due to human hearing and operation errors, tuners may make misjudgments or operate improperly, which may affect the pitch and timbre of the piano, or even damage the piano. Therefore, current piano tuning has very high requirements for tuners, who need to have very sensitive piano tone recognition capabilities and professional hands-on skills. Although there are many related tuning mechanical equipment available, in actual application, human control factors still account for the main mode. Manual tuning mainly requires tuners to judge the pitch of the piano based on the sound of the piano heard by the human ear, and then use tuning tools to adjust the strings. The whole process is not only cumbersome, but also has low accuracy.

[0004] Therefore, in response to the existing problems, we propose an AI-based automatic piano tuning device to replace manual tuning and improve the convenience and accuracy of piano tuning. Summary of the invention

[0005] In view of the above situation, in order to remedy the above existing defects, the present invention provides an AI-based automatic piano tuning device. Through this device, artificial intelligence can be used to replace manual piano tuning tasks, thereby improving the accuracy of piano tuning.

[0006] The present invention proposes an AI-based automatic piano tuning device, including an automatic piano tuning system, which includes a pitch data acquisition module, a signal processing and analysis module, an error detection and calculation module, and an automatic tuning and feedback module. The pitch data acquisition module is electrically connected to a vibration sensor for collecting piano signals, and the vibration frequency and pitch data of each piano string can be collected through the vibration sensor.

[0007] The signal processing and analysis module can pre-process the audio data collected by the pitch data acquisition module to remove noise and interference and optimize it, so as to obtain clean audio frequency data, and then analyze the spectrum data. By means of Fast Fourier Transform (FFT), the audio signal is subjected to FFT, and the time domain signal is converted into a frequency domain signal, so as to obtain the amplitude and phase information of each frequency component, and determine the fundamental frequency pitch of each string by analyzing the spectrum.

[0008] Among them, when analyzing the spectrum, the automatic piano tuning system uses AI intelligent adaptive algorithms and spectrum peak detection tools to assist the signal processing and analysis module to improve the accuracy of spectrum analysis.

[0009] The error detection and calculation module can calculate the error between the actual pitch and the target pitch, and generate an adjustment plan based on the error. The adjustment plan includes a fine-tuning value for the tension of each string to ensure the accuracy of the pitch of all notes.

[0010] The automatic tuning and feedback module is electrically connected to a high-precision servo motor, and the servo motor is electrically connected to a tuning lever for adjusting the tension of the strings. The automatic tuning and feedback module transmits the calculated adjustment amount to the servo motor, and the servo motor adjusts the tension of the strings by controlling the tuning lever. During the adjustment process, the automatic tuning and feedback module detects and adjusts the control of the servo motor in real time with the support of the AI ​​algorithm in the piano automatic tuning system, thereby optimizing the string tension adjustment and achieving the purpose of real-time pitch correction.

[0011] Furthermore, the automatic piano tuning system has a built-in AI machine learning module, which can connect to cloud data to collect tuning data of different pianos and in different states. The AI ​​machine learning module can also extract useful features of different pianos, and train the tuning model through a neural network based on the extracted data. The AI ​​machine learning module can also continuously adjust the tuning strategy based on feedback data, optimize the adjustment amount and method, and improve the tuning accuracy.

[0012] The beneficial effects achieved by the present invention using the above structure are as follows: The present invention is an AI-based automatic piano tuning device, and its advantages are: the present invention combines AI technology with the data acquisition module to ensure the accuracy of the audio data acquisition results. The AI ​​system can automatically complete the tuning process, reduce dependence on manual tuners, monitor pitch changes in real time, and make instant adjustments to maintain the stability of the piano's sound quality. The feedback function allows the system to make corrections based on the adjustment effect to ensure more accurate tuning results, and has the function of autonomous learning. While collecting and analyzing a large amount of tuning data to improve future tuning processes and strategies, the tuning strategy is continuously optimized through intelligent learning, reducing manual participation and improving tuning accuracy and efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0014] Figure 1 The system framework of the AI-based piano automatic tuning device of the present invention Figure 1 ;

[0015] Figure 2 The system framework of the AI-based piano automatic tuning device of the present invention Figure 2 . DETAILED DESCRIPTION

[0016] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments; based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0017] It should be noted that the words "front", "rear", "left", "right", "up" and "down" used in the following description refer to directions in the drawings, and the words "inside" and "outside" refer to directions toward or away from the geometric center of a specific component, respectively.

[0018] like Figure 1 , Figure 2 As shown, the technical solution adopted by the present invention is as follows: an AI-based automatic piano tuning device proposed in the present invention includes an automatic piano tuning system, the automatic piano tuning system includes a pitch data acquisition module, a signal processing and analysis module, an error detection and calculation module and an automatic tuning and feedback module: the pitch data acquisition module is electrically connected to a vibration sensor for collecting piano signals, and the vibration frequency and pitch data of each piano string can be collected through the vibration sensor.

[0019] The signal processing and analysis module pre-processes the audio data collected by the pitch data acquisition module to remove noise and interference and optimize it to obtain clean audio frequency data. It then analyzes the spectrum data and performs FFT on the audio signal through fast Fourier transform (FFT) to convert the time domain signal into a frequency domain signal, thereby obtaining the amplitude and phase information of each frequency component. By analyzing the spectrum, the fundamental frequency pitch of each string is determined.

[0020] When analyzing the spectrum, the automatic piano tuning system uses AI intelligent adaptive algorithms and spectrum peak detection tools to assist the signal processing and analysis module to improve the accuracy of spectrum analysis.

[0021] The error detection and calculation module can calculate the error between the actual pitch and the target pitch, and generate an adjustment plan based on the error. The adjustment plan includes fine-tuning the tension of each string to ensure the accuracy of the pitch of all notes: When in use, the error detection and calculation module determines the target pitch of each string through the standard piano tuning and music requirements stored in the piano automatic tuning system, and calculates the pitch deviation of each string by comparing the actual pitch with the target pitch, and calculates the required adjustment amount for each string based on the pitch deviation. The relationship model of AI physical model, string tension, string length and string mass is analyzed and calculated through the piano automatic tuning system, and the algorithm is optimized using the fitting method for the analyzed and calculated data to calculate the optimal adjustment amount for the piano.

[0022] The automatic tuning and feedback module is electrically connected to a high-precision servo motor, and the servo motor is electrically connected to a tuning lever for adjusting the string tension. The automatic tuning and feedback module transmits the calculated adjustment amount to the servo motor, and the servo motor adjusts the string tension by controlling the tuning lever. During the adjustment process, the automatic tuning and feedback module detects and adjusts the control of the servo motor in real time with the support of the AI ​​algorithm in the piano automatic tuning system, thereby optimizing the string tension adjustment and achieving the purpose of real-time pitch correction.

[0023] The automatic piano tuning system has a built-in AI machine learning module, which includes the following functions:

[0024] 1. The AI ​​machine learning module can connect to cloud data to collect tuning data for different pianos and in different states, including string pitch, adjustment amount, and environmental conditions;

[0025] 2. The AI ​​machine learning module can extract useful features, such as the material of the strings, the age of the piano, and the ambient humidity. It can train the tuning model through a neural network, predict tuning requirements and optimize the adjustment strategy. Through cross-validation and hyperparameter optimization, it can adjust the model parameters to improve the accuracy and robustness of string tuning.

[0026] 3. AI machine learning module for transfer learning, adjusting the pre-trained model to adapt to new data on a new piano or in a different tuning environment;

[0027] 4. The AI ​​machine learning module is used for piano modeling. Personalized models are established for different pianos, taking into account the brand, model, material, usage and the impact of different environmental conditions (such as temperature and humidity) on the piano pitch.

[0028] 5. The AI ​​system continuously adjusts the tuning strategy based on feedback data and optimizes the adjustment amount and method. The machine learning model will self-adjust and optimize based on these feedback data to improve tuning accuracy.

[0029] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, material or apparatus including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, material or apparatus.

[0030] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An AI-based automatic piano tuning device, characterized in that: The invention comprises an automatic piano tuning system, which comprises a pitch data acquisition module, a signal processing and analysis module, an error detection and calculation module and an automatic tuning and feedback module. The pitch data acquisition module is electrically connected to a vibration sensor for collecting piano signals, and the vibration frequency and pitch data of each piano string can be collected through the vibration sensor. The signal processing and analysis module can pre-process the audio data collected by the pitch data acquisition module to remove and optimize noise and interference to obtain clean audio frequency data, and then analyze the spectrum data. By means of fast Fourier transform (FFT), the audio signal is subjected to FFT to convert the time domain signal into a frequency domain signal, thereby obtaining the amplitude and phase information of each frequency component, and determining the fundamental frequency pitch of each string by analyzing the spectrum.

2. The AI-based automatic piano tuning device according to claim 1, characterized in that: When analyzing the spectrum, the automatic piano tuning system can use AI intelligent adaptive algorithms and spectrum peak detection tools to assist the signal processing and analysis module to improve the accuracy of spectrum analysis.

3. The AI-based automatic piano tuning device according to claim 2, characterized in that: The error detection and calculation module can calculate the error between the actual pitch and the target pitch, and generate an adjustment plan based on the error. The adjustment plan includes a fine-tuning value for the tension of each string to ensure the accuracy of the pitch of all notes.

4. The AI-based automatic piano tuning device according to claim 2, characterized in that: The automatic tuning and feedback module is electrically connected to a high-precision servo motor, and the servo motor is electrically connected to a tuning lever for adjusting the tension of the strings. The automatic tuning and feedback module transmits the calculated adjustment amount to the servo motor, and the servo motor adjusts the tension of the strings by controlling the tuning lever. During the adjustment process, the automatic tuning and feedback module detects and adjusts the control of the servo motor in real time with the support of the AI ​​algorithm in the piano automatic tuning system, thereby optimizing the string tension adjustment and achieving the purpose of real-time pitch correction.

5. The AI-based automatic piano tuning device according to claim 2, characterized in that: The automatic piano tuning system has a built-in AI machine learning module, which can connect to cloud data to collect tuning data of different pianos and in different states. The AI ​​machine learning module can also extract useful features of different pianos and train the tuning model through a neural network based on the extracted data.

6. The AI-based automatic piano tuning device according to claim 2, characterized in that: The AI ​​machine learning module can also continuously adjust the tuning strategy based on feedback data, optimize the adjustment amount and method, and improve the tuning accuracy.

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