CN109584851A - The method of computer music teaching creation - Google Patents
The method of computer music teaching creation Download PDFInfo
- Publication number
- CN109584851A CN109584851A CN201811416132.7A CN201811416132A CN109584851A CN 109584851 A CN109584851 A CN 109584851A CN 201811416132 A CN201811416132 A CN 201811416132A CN 109584851 A CN109584851 A CN 109584851A
- Authority
- CN
- China
- Prior art keywords
- music
- template
- style
- melody
- creation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Classifications
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B15/00—Teaching music
-
- 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
-
- 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
- G10H7/00—Instruments in which the tones are synthesised from a data store, e.g. computer organs
-
- 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
- G10H2210/101—Music Composition or musical creation; Tools or processes therefor
-
- 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
- G10H2210/101—Music Composition or musical creation; Tools or processes therefor
- G10H2210/151—Music Composition or musical creation; Tools or processes therefor using templates, i.e. incomplete musical sections, as a basis for composing
Abstract
The invention discloses the methods of computer music teaching creation, template is made by acquiring a large amount of audio data extraction style music score of Chinese operas common trait point of the same race, beginner is enabled to quickly understand the main melody of different-style, it does not need that a large amount of music is listened artificially to summarize, when preliminary analysis music, by the way that music file analyzed according to template matching, the style for analyzing music file is constituted, learner is helped quickly to learn to analyze music, the method is summarized by computer, greatly accelerates the speed of learning music；When creation, directly choose template, and rhythm, tone or the change rate of variation template, frequency spectrum will be obtained after variation again to be smoothed, it chooses signal frequency spectrum and carries out conversed analysis again, the style for obtaining newly creating frequency spectrum is constituted, and the purpose created when learning is realized, to achieve the purpose that Fast Learning art music.
Description
Technical field
The present invention relates to musical composition methods, and in particular to the method for computer music teaching creation.
Background technique
Melody is the happy basis of modern popular, and composition is also to play a very important role in modern popular song.?
Modern society, pop music have been deeply infiltrated into the life of the masses.
Tradition composition needs composer to have certain music theory knowledge, and combines inspiration and creative experience, can just create
Complete music rhythm.Create pleasing to the ear melody has more requirement in music theory, such as the unification of melody and rhythm, the table of theme
Existing gimmick, combination of musical form etc..And the melody with specific style and emotion is created, condition limits in even more some music theorys
Set.
As it can be seen that the limitation of these conditions forms very high threshold, when learning music needs a large amount of for ordinary people
Between go to listen, need profession until teacher, this makes the preferable music of ordinary people increase difficulty.
With the development of computer technology, there is the tool for much assisting amateur music-lover's art music to go out
It is existing.But tool on the market largely all concentrates in the professional miscellaneous function such as music music, audio mixing, and minority can provide automatic wound
The tool for the function that melodizes can only also create some melody that can not recognize style and emotion, not be able to satisfy modern people's creation
The requirement of pop music melody.
In conclusion the Fast Learning and art music that complete commonly unmusical professional crowd need all the time
It solves the problems, such as.
Summary of the invention
The present invention provides the methods of the computer music to solve the above problems teaching creation, so that the masses of unmusical profession
Can also easy learning music, analyze music, can participate in the creation of music rhythm.
The present invention is achieved through the following technical solutions:
The method of computer music teaching creation, mainly comprises the steps that
S1, using existing audio database, by the teaching audio data of existing all kinds of music VFs, demoncal ration audio
Data acquisition system carries out music style classification into database, and by data；
S2, audio data is identified as to the music score of Chinese operas, extracts music score of Chinese operas common trait point, the processing music score of Chinese operas forms template；
S3, foundation template, setpoint frequency or tonality threshold screen casting formwork, the segment melody that will be screened
As learning template；
S4, according to template, will target audio file be changed rate comparative analysis, obtain clip audio with reference to style,
The style foundation of study audio is obtained, so that learning music be helped to constitute；
S5, by based on template, to template using musically inverted image, drive in the wrong direction, two degree of uplink, two degree of downlink, maintenance not
The gimmick of change, and the probability of this five kinds of gimmicks use is defined respectively, it uses one of gimmick at random according to probability, changes respectively
The melody trend of each phrase, moves towards trend according to the melody after change in the original melody of template, keeps and former melody template weight
Complex tone attribute, phrase ending steady sound attribute, cadence information, mode Information invariability, generate new phrase note letter at random again
Breath；
S6, fragment combination is carried out to the new phrase note information of generation, by different fragments combine between curve foundation
Template variation tendency carries out smooth adjustment processing；
S7, obtained complete phrase information progress will be finally handled again according to step 4 march spectrum analysis, obtain phrase sound
Happy style is constituted, and completes study creation.
Style music score of Chinese operas common trait point of the same race is extracted by acquiring a large amount of audio data and is made into template, enables beginner
The main melody for enough quickly understanding different-style does not need that a large amount of music is listened artificially to summarize, when preliminary analysis music, pass through by
Music file progress is analyzed according to template matching, and the style for analyzing music file is constituted, and learner is helped quickly to learn to analyze
Music, the method are summarized by computer, greatly accelerate the speed of learning music；When creation, template, Yi Jibian are directly chosen
Change rhythm, tone or the change rate of template, then be smoothed frequency spectrum is obtained after variation, chooses signal frequency spectrum and carry out again inversely
Analysis, the style for obtaining newly creating frequency spectrum are constituted, and the purpose created when learning are realized, to reach the mesh of Fast Learning art music
's.
Further, the processing music score of Chinese operas forms template in step s 2, is by the corresponding music score of Chinese operas of the frequency curve of audio data
It draws and generates frequency band, and side frequency section is changed rate and is calculated, consecutive variations rate curve is formed, by consecutive variations rate curve
It is stored；The consecutive variations rate curve of every kind of stylistic category carries out fuzzy comparison, obtains the identical segment of change rate；It will variation
The identical segment of rate is stored in template library as template.By the way that same type of audio data is done change rate curve calculating, so that
Counted in different tone colors and different euphonic melody characteristics of the same race, this than directly compare frequency spectrum can not differentiate because
The speed difference of tone or rhythm makes nothing contrast style of the same race.
Further, in step s 2, it also carries out carrying out the consecutive variations rate curve of different-style type into fuzzy comparison,
Similar threshold value is set, the change rate segment in threshold range is intercepted, is stored in template library as reference template；Make in reference template library
For music style variation tendency, the fusion melody between different-style is analyzed, help learns different-style music fusion melody.
Because there are similar melody between the music between many different-styles, then such melody is the higher variation of acceptance
Rate increases the practicability of authoring template by using the frequency spectrum melody of the similar change rate of different-style.
Further, the target audio file refers to the new sound of learning objective audio file or creation in step s 4
Frequency file.Learning objective audio file is for appreciating analysis, and for reversely analyzing, help quickly enters the new audio file of creation
Door.
Further, the smooth adjustment processing described in S6 is that section is first handled segment into the processing of property change rate, in root
Go out immediate change rate segment according to template matching, then generates different between segment to be processed and immediate change rate segment
Multiple change rate segments, for creator select.Due to multiple fragment combinations, in processing by template according to smooth to carry out
Adjustment after comparing out the high template of similarity, the excess processes of multi-ladder is carried out in processing, for creator's selection, enhancing
Practicability.
The present invention has the advantage that and the utility model has the advantages that
1, the present invention is made into template by acquiring a large amount of audio data extraction style music score of Chinese operas common trait point of the same race, so that
Beginner can quickly understand the main melody of different-style, not need that a large amount of music is listened artificially to summarize, preliminary analysis music
When, by analyze according to template matching music file, the style for analyzing music file is constituted, and helps learner quick
Association's analysis music, the method are summarized by computer, greatly accelerate the speed of learning music；When creation, mould is directly chosen
Plate, and rhythm, tone or the change rate of variation template, then be smoothed frequency spectrum is obtained after variation, choose signal frequency spectrum
Conversed analysis is carried out again, and the style for obtaining newly creating frequency spectrum is constituted, and the purpose created when learning is realized, to reach Fast Learning creation
The purpose of music；
2, the present invention is by doing change rate curve calculating for same type of audio data, so that in different tone colors and not
It is counted with euphonic melody characteristics of the same race, this can not differentiate the speed because of tone or rhythm than directly compare frequency spectrum
Difference makes nothing contrast style of the same race；
3, the present invention compares out the high template of similarity by smoothly being adjusted in processing by template foundation
Afterwards, the excess processes of multi-ladder are carried out in processing, for creator's selection, enhance practicability.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, below with reference to embodiment, the present invention is made
Further to be described in detail, exemplary embodiment of the invention and its explanation for explaining only the invention, are not intended as to this
The restriction of invention.
Embodiment 1
The method of computer music teaching creation, mainly comprises the steps that
S1, using existing audio database, by the teaching audio data of existing all kinds of music VFs, demoncal ration audio
Data acquisition system carries out music style classification into database, and by data；
S2, audio data is identified as to the music score of Chinese operas, extracts music score of Chinese operas common trait point, the processing music score of Chinese operas forms template；
S3, foundation template, setpoint frequency or tonality threshold screen casting formwork, the segment melody that will be screened
As learning template；
S4, according to template, will target audio file be changed rate comparative analysis, obtain clip audio with reference to style,
The style foundation of study audio is obtained, so that learning music be helped to constitute；
S5, by based on template, to template using musically inverted image, drive in the wrong direction, two degree of uplink, two degree of downlink, maintenance not
The gimmick of change, and the probability of this five kinds of gimmicks use is defined respectively, it uses one of gimmick at random according to probability, changes respectively
The melody trend of each phrase, moves towards trend according to the melody after change in the original melody of template, keeps and former melody template weight
Complex tone attribute, phrase ending steady sound attribute, cadence information, mode Information invariability, generate new phrase note letter at random again
Breath；
S6, fragment combination is carried out to the new phrase note information of generation, by different fragments combine between curve foundation
Template variation tendency carries out smooth adjustment processing；
S7, obtained complete phrase information progress will be finally handled again according to step 4 march spectrum analysis, obtain phrase sound
Happy style is constituted, and completes study creation.
When implementation, the music score of Chinese operas is handled in step s 2 and forms template, be to draw the corresponding music score of Chinese operas of the frequency curve of audio data
Generate frequency band, and by side frequency section be changed rate calculate, formed consecutive variations rate curve, by consecutive variations rate curve into
Row storage；The consecutive variations rate curve of every kind of stylistic category carries out fuzzy comparison, obtains the identical segment of change rate；By change rate
Identical segment is stored in template library as template；In step s 2, it also carries out the consecutive variations rate curve of different-style type
Fuzzy comparison is carried out, similar threshold value is set, the change rate segment in threshold range is intercepted, is stored in template as reference template
Library；Reference template library analyzes the fusion melody between different-style as music style variation tendency, and help learns different wind
Lattice music merges melody；The target audio file refers to the new audio of learning objective audio file or creation in step s 4
File；Smooth adjustment processing described in S6 is that section is first handled segment into the processing of property change rate, is gone out according to template matching
Then immediate change rate segment generates multiple change rates different between segment to be processed and immediate change rate segment
Segment is selected for creator.
Analytic learning audio file is that audio file is carried out frequency spectrum discerning, and the frequency spectrum of identification is being done change rate analysis.
The frequency spectrum discerning mainly comprises the steps that
(1) it identifies audio, tracks the variation of overall spectrum, check whether there is pronunciation trend in real time；
(2) spectral change for tracking each pitch, checks which is pitch sounding in real time；
(3) continue the spectral change of tracking sounding pitch, the pitch sounding before checking judges whether it is erroneous judgement；
(4) according to above step obtain sounding pitch data, phonation time data, estimate speed, the mode of the music score of Chinese operas with
And note type, generate the music score of Chinese operas.
When implementation, big data platform is can be used in original music library, carries out classification knowledge to the music library file of big data sample platform
Not, it improves efficiency.
Above-described specific embodiment has carried out further the purpose of the present invention, technical scheme and beneficial effects
It is described in detail, it should be understood that being not intended to limit the present invention the foregoing is merely a specific embodiment of the invention
Protection scope, all within the spirits and principles of the present invention, any modification, equivalent substitution, improvement and etc. done should all include
Within protection scope of the present invention.
Claims (5)
1. the method for computer music teaching creation, which is characterized in that mainly comprise the steps that
S1, using existing audio database, by the teaching audio data of existing all kinds of music VFs, demoncal ration audio data
Collection is bonded in database, and data are carried out music style classification；
S2, audio data is identified as to the music score of Chinese operas, extracts music score of Chinese operas common trait point, the processing music score of Chinese operas forms template；
S3, according to template, setpoint frequency or tonality threshold screen casting formwork, using the segment melody screened as
Learning template；
S4, according to template, will target audio file be changed rate comparative analysis, obtain clip audio with reference to style, obtain
The style foundation for learning audio, so that learning music be helped to constitute；
S5, by based on template, to template using musically inverted image, drive in the wrong direction, two degree of uplink, two degree of downlink, remain unchanged
Gimmick, and the probability of this five kinds of gimmicks use is defined respectively, it uses one of gimmick at random according to probability, changes template respectively
Originally the melody of each phrase moves towards in melody, moves towards trend according to the melody after change, keeps and former melody template repeat tone
Attribute, phrase ending steady sound attribute, cadence information, mode Information invariability, generate new phrase note information at random again；
S6, fragment combination is carried out to the new phrase note information of generation, by different fragments combine between curve according to template
Variation tendency carries out smooth adjustment processing；
S7, obtained complete phrase information progress will be finally handled again according to step 4 march spectrum analysis, obtain phrase music wind
Lattice is at completion study creation.
2. the method for computer music teaching creation according to claim 1, which is characterized in that handle the music score of Chinese operas in step s 2
Template is formed, is to draw the corresponding music score of Chinese operas of the frequency curve of audio data to generate frequency band, and side frequency section is changed
Rate calculates, and forms consecutive variations rate curve, consecutive variations rate curve is stored；The consecutive variations rate of every kind of stylistic category is bent
Line carries out fuzzy comparison, obtains the identical segment of change rate；Template library is stored in using the identical segment of change rate as template.
3. the method for computer music teaching creation according to claim 2, which is characterized in that in step s 2, also carry out
The consecutive variations rate curve of different-style type is subjected to fuzzy comparison, similar threshold value is set, by the change rate in threshold range
Segment interception is stored in template library as reference template；Reference template library analyzes different-style as music style variation tendency
Between fusion melody, help learn different-style music fusion melody.
4. the method for the teaching of computer music described in any one creation according to claim 1, which is characterized in that in step s 4
The target audio file refers to the new audio file of learning objective audio file or creation.
5. according to the method for the teaching creation of computer music described in claim 2 any one, which is characterized in that described in S6
Smooth adjustment processing be first by section handle segment into property change rate processing, immediate change rate piece is being gone out according to template matching
Section, then generates multiple change rate segments different between segment to be processed and immediate change rate segment, selects for creator
It selects.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811416132.7A CN109584851A (en) | 2018-11-26 | 2018-11-26 | The method of computer music teaching creation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811416132.7A CN109584851A (en) | 2018-11-26 | 2018-11-26 | The method of computer music teaching creation |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109584851A true CN109584851A (en) | 2019-04-05 |
Family
ID=65924455
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811416132.7A Withdrawn CN109584851A (en) | 2018-11-26 | 2018-11-26 | The method of computer music teaching creation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109584851A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113096624A (en) * | 2021-03-24 | 2021-07-09 | 平安科技（深圳）有限公司 | Method, device, equipment and storage medium for automatically creating symphony music |
-
2018
- 2018-11-26 CN CN201811416132.7A patent/CN109584851A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113096624A (en) * | 2021-03-24 | 2021-07-09 | 平安科技（深圳）有限公司 | Method, device, equipment and storage medium for automatically creating symphony music |
| CN113096624B (en) * | 2021-03-24 | 2023-07-25 | 平安科技（深圳）有限公司 | Automatic creation method, device, equipment and storage medium for symphony music |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103003875B (en) | Methods and systems for performing synchronization of audio with corresponding textual transcriptions and determining confidence values of the synchronization | |
| CN104715760B (en) | A kind of K song Match Analysis and system | |
| CN104992712B (en) | It can identify music automatically at the method for spectrum | |
| CN109584846B (en) | Melody generation method based on generation countermeasure network | |
| WO2019232928A1 (en) | Musical model training method, music creation method, devices, terminal and storage medium | |
| CN103915093B (en) | A kind of method and apparatus for realizing singing of voice | |
| CN107978322A (en) | A kind of K songs marking algorithm | |
| Arzt et al. | Artificial intelligence in the concertgebouw | |
| CN106935236A (en) | A kind of piano performance appraisal procedure and system | |
| CN108172211B (en) | Adjustable waveform splicing system and method | |
| CN108877835A (en) | Evaluate the method and system of voice signal | |
| CN116206496A (en) | Oral english practice analysis compares system based on artificial intelligence | |
| CN109584851A (en) | The method of computer music teaching creation | |
| CN113192471A (en) | Music main melody track identification method based on neural network | |
| CN111785236A (en) | Automatic composition method based on motivational extraction model and neural network | |
| CN116246598A (en) | Multi-stage automatic pitch scoring method based on fragments | |
| CN109522442A (en) | Supplementary music Learning machine intelligent analysis method | |
| CN108922505B (en) | Information processing method and device | |
| CN110956870A (en) | Solfeggio teaching method and device | |
| CN111402919A (en) | Game cavity style identification method based on multiple scales and multiple views | |
| Wang et al. | Musicyolo: A vision-based framework for automatic singing transcription | |
| CN105244021A (en) | Method for converting singing melody to MIDI (Musical Instrument Digital Interface) melody | |
| CN109410968A (en) | Voice initial position detection method in a kind of efficient song | |
| CN112634841B (en) | Guitar music automatic generation method based on voice recognition | |
| Stein | Automatic detection of multiple, cascaded audio effects in guitar recordings |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20190405 |