CN113112972A - Intelligent partner training system and method for piano - Google Patents
Intelligent partner training system and method for piano Download PDFInfo
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- CN113112972A CN113112972A CN202110403731.0A CN202110403731A CN113112972A CN 113112972 A CN113112972 A CN 113112972A CN 202110403731 A CN202110403731 A CN 202110403731A CN 113112972 A CN113112972 A CN 113112972A
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10H—ELECTROPHONIC MUSICAL INSTRUMENTS; INSTRUMENTS IN WHICH THE TONES ARE GENERATED BY ELECTROMECHANICAL MEANS OR ELECTRONIC GENERATORS, OR IN WHICH THE TONES ARE SYNTHESISED FROM A DATA STORE
- G10H1/00—Details of electrophonic musical instruments
- G10H1/0033—Recording/reproducing or transmission of music for electrophonic musical instruments
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10H—ELECTROPHONIC MUSICAL INSTRUMENTS; INSTRUMENTS IN WHICH THE TONES ARE GENERATED BY ELECTROMECHANICAL MEANS OR ELECTRONIC GENERATORS, OR IN WHICH THE TONES ARE SYNTHESISED FROM A DATA STORE
- G10H1/00—Details of electrophonic musical instruments
- G10H1/36—Accompaniment arrangements
- G10H1/40—Rhythm
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10H—ELECTROPHONIC MUSICAL INSTRUMENTS; INSTRUMENTS IN WHICH THE TONES ARE GENERATED BY ELECTROMECHANICAL MEANS OR ELECTRONIC GENERATORS, OR IN WHICH THE TONES ARE SYNTHESISED FROM A DATA STORE
- G10H2210/00—Aspects or methods of musical processing having intrinsic musical character, i.e. involving musical theory or musical parameters or relying on musical knowledge, as applied in electrophonic musical tools or instruments
- G10H2210/031—Musical analysis, i.e. isolation, extraction or identification of musical elements or musical parameters from a raw acoustic signal or from an encoded audio signal
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10H—ELECTROPHONIC MUSICAL INSTRUMENTS; INSTRUMENTS IN WHICH THE TONES ARE GENERATED BY ELECTROMECHANICAL MEANS OR ELECTRONIC GENERATORS, OR IN WHICH THE TONES ARE SYNTHESISED FROM A DATA STORE
- G10H2250/00—Aspects of algorithms or signal processing methods without intrinsic musical character, yet specifically adapted for or used in electrophonic musical processing
- G10H2250/005—Algorithms for electrophonic musical instruments or musical processing, e.g. for automatic composition or resource allocation
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Abstract
The invention discloses an intelligent partner training system and method for a piano, and relates to the technical field of music audio analysis. The method comprises a user side, a server side and an algorithm side, wherein the user side adopts an APP form, development is carried out at an iOS end and an Android end, audio sampling is carried out at the server side, the algorithm side analyzes the comparison between the tone accuracy, force, continuity and rhythm evaluation factors and an original music score when a user plays at each position, and a technical improvement suggestion with reference significance is provided for the user. The invention aims to read the difference between the 'playing skill' and the piano original spectrum of a piano fan and a beginner in the playing process through an audio analysis technology, thereby providing a systematic and cheap solution of 'artificial intelligent piano accompanying instruction' for the piano fan and the beginner.
Description
Technical Field
The invention belongs to the technical field of audio analysis of calculated tones, and particularly relates to an intelligent training accompanying system and method for a piano.
Background
The piano is a keyboard instrument from western classical music, and consists of 88 keys of 52 white keys and 36 black keys and a metal string soundboard, and is commonly used for solo, accompaniment or ensemble performance of various instruments due to excellent and comprehensive performance; with the development of technologies such as internet, computer and machine learning, these leading-edge technologies gradually penetrate into the traditional art field, and a new subject, namely computing music, is generated by crossing computer technology and music;
the music calculation is a wide application field of artificial intelligence in the aspect of acoustics, the basis of the music calculation is established in the cross fusion of multiple subjects such as classical acoustic engineering, computer technology, computer acoustic recognition technology and the like, and the music calculation provides feasibility for integrating original sound data and human-computer interaction by acquiring original acoustic signals and recognizing sound features in a digital mode;
the traditional teacher-apprentice system of 'piano teacher tutoring' is mostly adopted in the current piano accompanying field, a teacher listens to the playing of fans/beginners on site, and the piano playing fans/beginners are guided from experience, the method is used from the birth date of the piano to the present, the defect is that the 'piano teacher' inevitably has 'personalized' characteristics, so that the 'tutoring' has good guiding significance on the whole but certain randomness and randomness, meanwhile, compared with a plurality of piano fans and beginners, the piano teacher has serious resource scarcity and geographic distribution unevenness, the high cost reflected as 'accompanying' from the visual angles of the piano fans and beginners is reflected by the cost not only in learning, but also reflecting the cost in time, On the other hand, the piano learning convenience is seriously influenced by the composition of various elements such as places, traffic and the like;
on the other hand, the existing piano training technique depends on hardware equipment, even needs to buy a specific piano, and has unfavorable limiting conditions for beginners, such as incapability of depending on equipment to know and use, incapability of purchasing a piano again under the condition that one piano is in the home, and the like; the existing piano training software only marks obvious errors such as wrong sound and intonation, but can not judge the more recessive but very important factors such as strength, rhythm, continuity and the like, and is lack of analysis and evaluation, and provides links such as guidance suggestions for helping users to improve; meanwhile, the existing software system related to piano partner training does not have a community function and cannot get through the connection between fans and beginners, so that the internet technology cannot be fully utilized to create the interaction between piano fans;
therefore, how to analyze and improve the accuracy, rhythm, dynamics and consistency of the performance by means of the techniques such as machine learning and the like to help piano enthusiasts to improve the performance capability is a problem to be solved urgently.
Disclosure of Invention
The invention aims to provide a piano intelligent accompanying system and a piano intelligent accompanying method, which aim to read the difference between the 'playing skill' and the original piano score of a piano amateur and a beginner in the playing process through an audio analysis technology, thereby providing a systematic cheap solution of 'artificial intelligent piano accompanying instruction' for the piano amateur and the beginner.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the invention relates to an intelligent piano training accompanying system which comprises a user side, a server side and an algorithm side, wherein the user side adopts an APP form, development is carried out at an iOS end and an Android end, the server side carries out audio sampling, and the algorithm side analyzes the comparison between the factors of tone accuracy, dynamics, continuity and rhythm evaluation and an original music score when a user plays at each position and provides a technological improvement suggestion with reference significance for the user.
An intelligent partner training method for a piano comprises the following steps:
the method comprises the following steps: firstly, applying for microphone permission from a mobile phone or a tablet;
step two: after the authority is obtained, recording the playing of the user and collecting audio data;
step three: the system carries out noise reduction and impurity removal processing on the audio and converts the audio into a file in an MIDI format;
step four: comparing the MIDI file converted from the user audio with the MIDI file of the original music score, and analyzing the difference between the evaluation elements such as the accuracy of sound, the strength, the continuity, the rhythm and the like when the user plays at each position and the original music score;
step five: providing a technical improvement suggestion with reference significance for a user by utilizing a machine learning algorithm;
step six: and (5) completing intelligent partner training of the piano.
Preferably, in the first step, at the user end, the user opens the APP through a mobile phone or a tablet computer to find the music score to be trained.
Preferably, in the second step, after the authority is obtained, the user starts playing, the music score rolls along with the playing of the user, and meanwhile, the APP records the audio of the user and automatically uploads the audio to the server side.
Preferably, in the fourth step, an algorithm arranged at the server is utilized, firstly, audio frequency is converted into a music score, the playing audio frequency of the user is converted into a file in the MIDI format, then, the file is compared with the MIDI file of the original music score, and differences between various playing evaluation elements, such as accuracy of sound, strength, rhythm and continuity, of each section of the file generated by the playing audio frequency of the user and the MIDI file of the original music score are compared.
Preferably, the step five analyzes and obtains the deficiency in the user playing process, and comprehensively evaluates the user playing in the weighted average mode according to each element.
Preferably, in the fifth step, the total score of the user and the analysis report are finally transmitted back to the client from the server, so that the next playing improvement of the user is more targeted, and the learning efficiency of the user is improved.
Preferably, in the second step, during the playing of the user, the APP provides feedback in real time, and after the playing of the user is finished, the detailed feedback suggestion given by the APP can be viewed through playback.
Preferably, in the scheme, data results played by the user can be shared through an internet platform, shared contents are evaluated by more fans, sharing experience is brought to the player, and meanwhile, the evaluations further optimize an algorithm of an analysis evaluation system.
The invention has the following beneficial effects:
1. the training system is more mature, and not only can be used for solving the problems of wrong sound, intonation and the like, but also can be used for carrying out comparison after being converted into MIDI files because the traditional audio is not adopted for comparison, and more abundant music information is reserved in the MIDI files, so that more evaluation factors can be set, the learning efficiency is improved, and the training is more targeted.
2. A multi-element analysis evaluation system is introduced, and when the score of one evaluation element of a user is low, a targeted correction suggestion is provided.
3. Community's nature introduces the community function, makes piano fan can produce the interaction, and the community function will accept piano scholars, independent music people's the income, makes this community abundanter more.
4. Entertainment, namely, the piano practice is entertained by an animated UI interactive interface and a game type playing mode and introducing systems such as online PK (push-to-play) and community ranking, and meanwhile, enough positive feedback is provided for a user, so that the piano practice process is not boring.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of the operation method of the piano intelligent partner training method of the invention;
FIG. 2 is a flow chart of audio conversion of an intelligent partner training system for a piano according to the present invention;
FIG. 3 is a file comparison flowchart of an intelligent piano training system according to the present invention;
fig. 4 is an operation flowchart of the piano intelligent partner training system of the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment is as follows:
referring to fig. 2-4, the invention relates to an intelligent piano training system, which comprises a user side, a server side and an algorithm side, wherein the user side adopts an APP form, the development is performed at an iOS and Android side, the server side performs audio sampling, and the algorithm side analyzes the comparison between the factors of intonation, dynamics, continuity and rhythm evaluation and an original music score when a user plays at each position, so as to provide a technical improvement suggestion with reference significance for the user.
Example two:
referring to fig. 1, an intelligent partner training method for a piano includes the following steps:
the method comprises the following steps: firstly, applying for microphone permission from a mobile phone or a tablet;
step two: after the authority is obtained, recording the playing of the user and collecting audio data;
step three: the system carries out noise reduction and impurity removal processing on the audio and converts the audio into a file in an MIDI format;
step four: comparing the MIDI file converted from the user audio with the MIDI file of the original music score, and analyzing the difference between the evaluation elements such as the accuracy of sound, the strength, the continuity, the rhythm and the like when the user plays at each position and the original music score;
step five: providing a technical improvement suggestion with reference significance for a user by utilizing a machine learning algorithm;
step six: and (5) completing intelligent partner training of the piano.
In the first step, at the user end, the user opens the APP through a mobile phone or a tablet computer to find the music score to be trained.
In the second step, after the authority is obtained, the user starts playing, the music score rolls along with the playing of the user, meanwhile, the APP records the audio of the user, and the audio is automatically uploaded to the server side.
In the fourth step, an algorithm arranged at the server side is utilized, firstly, audio frequency is converted into a music score, the playing audio frequency of the user is converted into a file in a MIDI format, then the file is compared and analyzed with an original music score MIDI file, and differences between various playing evaluation elements such as accuracy of sound, strength, rhythm and continuity and the like in each section of the file generated by the user audio frequency and the original music score file are compared.
And step five, analyzing and obtaining the position lacking in the user playing process, and performing comprehensive evaluation on the user playing in a weighted average mode according to each element.
And finally, in the step five, the total score of the user and an analysis report are transmitted back to the client from the server, so that the next playing improvement of the user is more targeted, and the learning efficiency of the user is improved.
In the second step, during the playing process of the user, the APP provides feedback in real time, and after the playing of the user is finished, the detailed feedback suggestion given by the APP can be viewed through playback.
In the scheme, data results played by the user can be shared through an internet platform, shared contents are evaluated by more fans, sharing experience is brought to the player, and meanwhile, the evaluation further optimizes an algorithm of an analysis evaluation system.
The invention aims to provide a piano accompanying method based on the cooperation of the existing equipment (including a mobile phone, a tablet personal computer and the like) and a piano, which can provide corresponding analysis guidance for piano fans to practice the piano at any time; meanwhile, the invention provides a real-time feedback evaluation function by a music computing technology, performs difference analysis by comparing the MIDI file converted from the user audio with the original MIDI file, finds out the difference in tone, strength, rhythm, continuity and the like, and provides corresponding analysis guidance aiming at the deficiency of a certain aspect of the user;
the intelligent piano training system and method of the invention utilize the comparison technology among MIDI files, and perform difference analysis on each evaluation element through the comparison between the MIDI file converted from user audio and the MIDI file of the original spectrum.
The piano intelligent training accompanying system and method update the evaluation mode, and evaluate the playing level of a user through the comparison of MIDI files and the difference degree after difference analysis.
The piano intelligent training system and the piano intelligent training method update a feedback and guidance mode, after the user plays, a text version guidance suggestion is generated through difference contrast analysis, each small section is weighted and scored, different color grades are set for different scores, and finally a music score with different colors is generated, so that the user can intuitively know which parts need to be improved in the playing process of the first music.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (9)
1. The utility model provides a piano intelligence training mate system which characterized in that: the technical scheme is that the technical scheme comprises a user side, a server side and an algorithm side, wherein the user side adopts an APP mode, is developed at an iOS and Android side, the server side performs audio sampling, and the algorithm side analyzes the comparison between the tone accuracy, force, continuity and rhythm evaluation elements and an original music score when a user plays at each position and provides a technical improvement suggestion with reference significance for the user.
2. The intelligent partner training method for the piano according to claim 1, wherein the method comprises the following steps:
the method comprises the following steps: firstly, applying for microphone permission from a mobile phone or a tablet;
step two: after the authority is obtained, recording the playing of the user and collecting audio data;
step three: the system carries out noise reduction and impurity removal processing on the audio and converts the audio into a file in an MIDI format;
step four: comparing the MIDI file converted from the user audio with the MIDI file of the original music score, and analyzing the difference between the evaluation elements such as the accuracy of sound, the strength, the continuity, the rhythm and the like when the user plays at each position and the original music score;
step five: providing a technical improvement suggestion with reference significance for a user by utilizing a machine learning algorithm;
step six: and (5) completing intelligent partner training of the piano.
3. The intelligent partner training method for the piano according to claim 2, wherein in the first step, at a user end, the user opens the APP through a mobile phone or a tablet personal computer to find a music score which the user wants to practice.
4. The piano intelligent accompanying method as claimed in claim 3, wherein in step two, after the authority is obtained, the user starts playing, the piano score rolls along with the playing of the user, and meanwhile, the APP records the audio of the user and automatically uploads the audio to the server.
5. The intelligent piano partner training method according to claim 4, wherein in the fourth step, an algorithm arranged at the server side is used, firstly, audio is converted into music score, the playing audio of the user is converted into a file in MIDI format, then the file is compared with the MIDI file of the original music score, and differences between various playing evaluation elements such as accuracy of sound, strength, rhythm and continuity in each section of the file generated by the user audio and the file of the original music score are compared.
6. The intelligent partner training method for the piano according to claim 5, wherein the place lacking in the user playing process is analyzed in the fifth step, and the current playing of the user is comprehensively evaluated in a weighted average mode according to each element.
7. The piano intelligent accompany training method as claimed in claim 6, wherein in the fifth step, the total score of the user and the analysis report are finally transmitted back to the client from the server, so that the next playing improvement of the user is more targeted, and the learning efficiency of the user is improved.
8. The intelligent partner training method for the piano according to claim 7, wherein in the second step, during the playing of the user, the APP provides feedback in real time, and after the playing of the user is finished, the user can watch the detailed feedback suggestion given by the APP through playback.
9. The piano intelligent accompanying and practicing method as claimed in claim 8, wherein in the scheme, data results played by users can be shared through an internet platform, and the shared content is subjected to more fan evaluations, so that sharing experience is brought to players, and meanwhile, the evaluations further optimize algorithms of an analysis and evaluation system.
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Cited By (1)
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Application publication date: 20210713 |