KR20150069660A - Management method for performance of playing instrument, management system therefor and database being used for it - Google Patents

Abstract

The present invention relates to a performance management method in practicing playing an musical instrument, which enables a user to objectively determine the performance after repetitive practices without help of experts, and to a management system therefor. In an embodiment of the present invention, regarding a model performance as an evaluation reference, disclosed is a performance management method in practicing playing a musical instrument, configuring database matching a sound source performed a plurality of times to be corresponding to a performance time of the model performance, and comparing the performed sound source to the model performance by performance time to evaluate the sound source.

Description

[0001] The present invention relates to a performance management performance management method, a management system using the performance management performance management system, and a database used therein,

The present invention relates to a management method and management system for musical instrument performance that enables an objective judgment of performance of self-repeated performances without the help of an expert.

In order to master the instrument, repetitive performance exercises are required depending on the level of the instructor. Effective playing lessons is important for the lesson to identify areas where it is difficult for the lesson to play correctly, and to practice the lesson intensively. In the actual lesson, the tutor feels that he is playing properly, but in practice he sometimes plays differently from the score. In addition, there are many cases in which the difficulty of playing is different depending on the characteristics of each individual. Therefore, it is not easy to identify the parts that are difficult to play when creating a teaching program for many teachers.

The general teaching method is that the leader hears and directs the performance of the tutor. The performer's performance tends to be highly dependent on the characteristics of the leader because the performer's performance is evaluated by the expertise of the leader and the distinction between the wrong part and the good part is made. Such conventional teaching methods are inefficient due to the inconvenience that the instructor and the tutor have to meet at a certain teaching place at the appointed time and the high cost to pay to the instructor.

Many techniques have been developed to teach musical instruments to be played online using the developed Internet environment. Furthermore, technological advancement is being made on measures to improve the performance of the performance by allowing the objective performance evaluation to be possible as long as the participation of the leader is excluded.

The teaching method of on-line performance according to the conventional technique is limited to the level of delivering a sound source played by a tutor to a leader via online, or to exclude a leader from participating and to evaluate whether a musician has played along with a score formed already . This conventional technique does not reach the professional teaching level of the leader who has been done offline, and the satisfaction of the user is not so high.

Meanwhile, among known related arts related to the present invention, there is music information retrieval (MIR). MIR is implemented using a computer. One use example is to develop a technique for identifying one or more sound sources of a musical instrument from a recorded sound source by playing one or more musical instruments together and separating the sound source from the original sound source. It is also used to analyze two or more sound sources.

Among other related arts, there is a music information retrieval technology. Music information retrieval technology is used to search for similar music by analyzing music information recorded with digital signals or to find sound source information that the user needs. In the technical part, melody, pitch and intensity, tone, rhythm and beat, and music meta information are used. Their analysis technique constitutes one field of MIR.

Korean Patent Publication No. 10-1998-0032961 (July 25, 1998)

The present invention proposes a performance performance management method and a management system using the same, which enable various evaluation of performances in repeated practice of musical instruments and enable quantitative analysis of increase / decrease of performance with increase in performance number do. It also excludes the involvement of costly and time-consuming professional leaders.

Other objects and advantages of the present invention will become apparent to those skilled in the art from the following detailed description.

In order to solve the above problems, the present invention provides, as an embodiment, a database in which a sound source played a plurality of times is matched with a performance time of the best performance, And a performance practice performance management method for evaluating the sound source in comparison with the best performance is provided. Here, the evaluation is calculated by comparing the performance characteristics of the sound source played with the exemplary performance in accordance with the performance time, and the performance characteristics include at least one of the group consisting of pitch, intensity, beat, One can be included.

Here, the exemplary play may be a music score or a sound source played by a plurality of experts, which is generated statistically for each performance time.

In addition, during the matching process of the exemplary performance and the sound source, the performance period of the exemplary performance matched with the sound source may be visualized through the display means to improve the convenience of the user.

In one embodiment of the present invention, the evaluation may be performed by calculating a unit evaluation index by comparing performance characteristics of a sound source played with the exemplary performance for each performance time, calculating a plurality of unit evaluation scores And statistical analysis is performed for each performance time to calculate a performance time evaluation index according to each performance time. In addition, in calculating the performance time evaluation index, a step of selecting a sound source to be subjected to statistical analysis among a plurality of sound sources may be performed.

In another embodiment, the unit evaluation index is changed to a unit number, and the statistical analysis is calculated as the summation of the unit evaluation index to calculate the performance time evaluation index, and the performance time evaluation index is set as information on the number of exercises Can be utilized.

In another embodiment of the present invention, the evaluation may be performed by comparing the performance characteristics of the sound source played with the exemplary performance by the performance time, calculating the unit evaluation score as a unit evaluation index, calculating a plurality of unit evaluation scores Can be statistically analyzed according to the input order of the sound source, and the number of times of concert evaluation according to the number of plays can be calculated. In calculating the score of the number of concerts, a step of selecting a performance sound source to be subjected to the statistical analysis may be performed.

On the other hand, a database in which the sound sources inputted over a plurality of times are matched so as to match the performance times of the exemplary performances with respect to the exemplary performances as evaluation criteria, and the sound sources played for the performance times of at least one exemplary performance are displayed do. This database can be used for evaluation, or can be used to determine personal performance tendencies.

A matching unit for matching the input sound source with respect to the best performance with respect to the performance time; a database according to claim 11 for storing the result of the matching unit; And an output unit for outputting a result of the evaluation unit, wherein the evaluation unit is configured to quantitatively evaluate an evaluation of the sound source in comparison with a performance source and a sound source played.

According to the embodiment of the present invention, the tutor can manage the performances of his or her performance of plural performances without involvement of a professional leader. As the number of practice exercises increases, it becomes possible to quantitatively evaluate the degree of improvement in performance. It also allows you to see the section of the performance that is different from the best performance, and to see how much difference there is. It is possible to select a specific performance section and manage the performance of the performance practice in the corresponding performance section.

The effects of the present invention will be clearly understood and understood by those skilled in the art, either through the specific details described below, or during the course of practicing the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a schematic view showing a configuration of a performance performance management system according to an embodiment of the present invention; FIG.
Fig. 2 is a simplified illustration of an example in which the management system shown in Fig. 1 is applied; Fig.
3 is a diagram schematically illustrating a performance performance management method according to an embodiment of the present invention.
4 is a diagram related to a method for calculating a performance time evaluation index in an embodiment of the present invention.
Figure 5 relates to another use example of Figure 4;
FIG. 6 is a view of a method of calculating the number of concerts in the embodiment of the present invention.
Figure 7 relates to another use example of Figure 6;
8 is a diagram related to a performance performance evaluation method according to another embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, a performance performance management method and a management system using the same according to the present invention will be described with reference to the accompanying drawings. It should be noted, however, that the drawing numbers for the same or similar components throughout the drawings and embodiments shall be used collectively.

BRIEF DESCRIPTION OF THE DRAWINGS The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the invention and, therefore, are not to be construed as limiting the technical spirit of the invention. It is to be understood that the invention is not to be limited by any of the details of the description to those skilled in the art from the standpoint of a person skilled in the art that any or all of the drawings shown in the drawings are not necessarily the shape,

In the following description, 'pitch' and 'pitch' refer to negative frequencies and determine the height of a single note. 'Intensity' and 'intensity' mean the amplitude of a sound, and determine the strength of a single sound. 'Beginning' means the unit which is the basis of the accent in music, and 'Fast' is the reciprocal of the time interval between two neighboring beats. 'Change in pace' means the change in the speed measured based on two independent independent beats.

The management method and management system of performances of performances according to the embodiment of the present invention assume that a plurality of performance exercises are repeatedly performed for a certain piece of music. Teachers do not always finish the song. For example, in the case of a piano sonata with a duration of more than 10 minutes, it is practically impossible to complete the song from start to finish in each practice of the song. Practice will be given to the practitioner in the part where it feels difficult to play or in the part where it wants to pursue creative expression, and the practice with less frequent difficulty will be performed.

According to the embodiment of the present invention, evaluation is performed for each of the number of times of performance practice for a plurality of times. Furthermore, the degree of increase and decrease of the performance of each performance according to the increase in the number of plays is evaluated.

The performance performance management system according to the present invention includes an input unit 10, a matching unit 20, a database 30, an evaluation unit 40, and an output unit 50. Sometimes the matching unit 20 and the evaluating unit 40 can be implemented by a single device by functioning one computing device such as a computer.

The input unit 10 may be a microphone or a sound recorder for receiving an analog signal. If you are using a tape recorder, you can record a recorded sound source and enter it later.

The input unit 10 can further perform digital conversion. Sometimes a digital conversion can be performed in an electronic musical instrument in which a module that performs the function is embedded. In this case, the input unit may be an electric wire, a connector, or the like that receives an electric signal converted from the electronic musical instrument into a digital signal.

The matching unit 20 receives the input sound source from the input unit 10 and matches the sound source with the performance time of the exemplary performance.

Here, 'play time' is a sequential representation of the real numbers of the measure units indicating the positions of specific notes in the score. For example, the playing time for the five notes sequentially displayed in the fourth bar is 4.1. 4.2, 4.3, 4.4, 4.5. This playing time differs from the concept of the time counted from the start of music in that it does not consider the flow of real time.

As a basis for matching, a best-practice is a musical score or a professional performance source played by at least one professional.

When the musical score is used as a basis of the matching, analysis of the musical score allows quantitative values such as the change in the speed from the relationship between the performance time, the required pitch according to each performance time, the intensity, the beat, .

On the other hand, when a professional performance sound source is used as a basis for matching, it can be obtained by digitally analyzing a professional performance sound source played on the corresponding song. As known in digital analysis of such a sound source, music information retrieval (MIR) can be used. Professional playing sound sources are available through media such as commercially available performance CDs or digital sound sources that are formatted and distributed with specific codecs.

Furthermore, by analyzing a plurality of professional sound sources by MIR, it is possible to extract performance characteristics such as pitch, intensity, and beat at each performance time, and to use a plurality of performance characteristics as a reference for matching the statistics in the statistics have.

As described above, in the exemplary performance created by statistically analyzing a plurality of professional performance sound sources, the performance characteristics thereof are somewhat different from the performance characteristics obtained by analyzing the score. This difference in performance characteristics can be interpreted as a variation from the original score by a musician interpreted by a professional musician, and it can be seen that the artistic value is already recognized. Therefore, when the performance characteristics obtained from a large number of professional performance sound sources are adopted as the standard performance to be evaluated, it can be a more valuable evaluation criterion for the performance of the performer.

The database 30 stores results generated by the matching unit 20. The database 30 functions as a recording device, and holds results obtained by matching the performances of a plurality of performances played by the instructor with the best performances.

The database 30 is used for evaluation of the sound source played by the tutor, but can be used for grasping the performance tendency of the tutor as described later. This will be described later.

The evaluation unit (40) performs a quantitative evaluation on the performance of the performance on the basis of the best performance and the information of the performance source matched in accordance therewith. The evaluation unit 40 has a configuration for retrieving necessary information from the database 30 and operating a program for statistical analysis thereof. Such a configuration is made up of various hardware such as a central processing unit such as a server, and can be configured as a computer, personal portable electronic device, and the like.

The evaluation result made by the evaluation unit 40 may be stored in the database 30 as needed.

The result of the quantitative evaluation calculated by the evaluation unit 40 is presented to the tutor through the output unit 50. [ The output unit 50 can transmit the evaluation result to the user through various methods such as visual, auditory, tactile, and the like. To this end, the output unit includes a display means and a sound reproducing means through a speaker. A vibration generating means, and the like.

Or the output unit 50 may be composed of a communication module that transmits operation signals to equipment having various implementation modules. Furthermore, the implementation module may be located remotely and the output may be configured to communicate operation signals using a network.

Fig. 2 shows an example of application of the performance performance management system shown in Fig. The input unit and the output unit are the smartphone 100 in the area of the tutor, and the matching unit, the database, and the evaluation unit are provided in the server apparatus 200 located at a remote place.

The sound source generated by the musical instrument is recorded through the microphone of the smartphone 100 and the recorded sound source may be transmitted to the server device 200 located at the remote place or may be digitized in the smartphone 100, To the server device 200 having the matching unit.

The server device 200 is connected to a database, and matches the performance source transmitted based on the exemplary sound source to the performance time. The matched results are stored in the database.

The information stored in the database is evaluated at the server apparatus 200 at the request of the tutor through the smartphone 100, and the evaluated result is transmitted through the network again through the screen of the smartphone 100, the speaker, To the tutor.

In other embodiments not shown, both the matching unit including the input unit and the output unit, the database, and the evaluation unit may be provided in the smart phone. Alternatively, as shown in Fig. 2, the matching unit and the evaluating unit may be remotely located, and the smart phone may be configured to include an input unit, a database, and an output unit.

As described above, various modifications are possible by configuring to perform network communication between the input unit, the matching unit, the database, the evaluation unit, and the output units as needed.

Hereinafter, a performance performance management method according to the present invention will be described in detail with reference to FIG. 3 and the following figures.

In Fig. 3, the score indicates a part of the music. The horizontal axis shows the time before and after the playing time. If the score is the beginning of the song, the example of the performance time is displayed in the order of 1.1, 1.2, 1.3, 2.1 ....

The model performance has a numerical representation of the performance characteristics of the performance time. Here, the performance characteristics include at least one of the group consisting of pitch, intensity, beat, speed, variation of the speed, and combinations thereof.

For example, if you analyze the best practice for the third note in the second measure and the pitch is 8.4 Hz, it will be stored in the following format.

M (2.3) = 8.4

Furthermore, when two or more performance characteristics are taken into consideration, for example, when three types of performance characteristics to be analyzed are set to pitch, intensity, and beat, they are displayed as vector values according to the set number of performance characteristics.

It is noted that the best performance M is a vector at the playing time of 2.3, and the vector components of c ₁ , c ₂ , and c ₃ are numerical representations of pitch, intensity, and beat performance characteristics.

A vector of this performance characteristic is generated for each performance time.

On the other hand, P ₁ , P ₂ , P _3, and the like in FIG. 3 sequentially indicate the sound sources input by the teacher. In FIG. 3, the vertical axis is related to the number of times the tutor plays the music.

The different lengths and starting points in the horizontal direction in P _n means that the intervals played on the score are different. In the performance practice of 8 times of total performance, it can be seen that in the practice of 1st (P ₁ ) and 4th (P ₄ ) performance, it started at the first part of the score, but the rest is not.

Since the start points of the sound sources played in this way are different from each other, it is necessary to distinguish which section of the music score the input sound source corresponds to. To this end, an already known audio search algorithm (Audio Search Algorithm) can be utilized. When a music search algorithm is searched, an input source is analyzed to find out which section of the music score corresponds to the melody, pitch and intensity, tone, rhythm and beat information.

Furthermore, it is possible to visualize and output the sound source played by the tutor so that it can be confirmed by the instructor as to which section of the ideal sound source corresponds. Concretely, while receiving the sound source played in real time, the corresponding performance section of the matching best performance is visualized and displayed through the display means.

Here, the display means may be one of the output portions of the above-described embodiment. Here, too, the exemplary performance can be a score.

The visual presentation function of the additional performance section can search for the performance section being played in the score and show the position where the performance is to be performed, thereby eliminating the need for the tutor to separately prepare the score.

For example, just by practicing before and rewriting the familiar part and typing it as a sound source, the tutor will be provided with the corresponding part and the following musical score.

On the other hand, it can be configured so that the instructor directly designates through which score the sound source corresponding to which performance section corresponds. For example, when it is difficult to define a specific performance section by repeatedly repeating a specific section on one score, it is more accurate and quick to designate the performance section manually.

If the starting point of the input sound source is specified as a performance time, the performance time is assigned according to the analysis of the played sound source, and the performance characteristics according to the following performance time are stored.

Here, n represents the number of times of playing, and t represents the playing time. c ₁ , c ₂ , c _3, etc. are the performance characteristics, and the pitch, the intensity, the beat, the speed, the variation amount of the speed, and combinations thereof.

The kind and order of the performance characteristics are the same as the types and order of the performance characteristics of the performance. If one performance characteristic is to be analyzed, the above formula (1) is stored as a scalar value.

Matches the played sound sources according to the performance time of the best performance, and stores it in the database.

The evaluation of the sound source is performed by comparing the information of the best performance stored in the database and the information of each sound source according to the performance time.

First, the unit evaluation index U, which is a result of comparing the performance of the music played with the exemplary performance by the performance time, is calculated.

Here, the contrast between the exemplary performance and the played sound source includes calculating an arithmetic difference according to the performance characteristics. Or the contrast between the best performance and the played sound source can be calculated by various methods such as calculating the absolute value of the difference according to the sound source characteristics of the same type, calculating the increase / decrease ratio, and calculating the difference value by adding various weights.

An example of calculating the algebraic difference is that if the pitch of the best practice is 9.4 Hz at 3.5 play time and 8.2 Hz is played at the corresponding play time of the second played sound source, its arithmetic difference of -1.2 Hz (U ₂ (3.5) = -1.2).

If we calculate the performance characteristics for the best performance as a ratio, we can use -12.77 as the unit evaluation index (U ₂ (3.5) = -12.77) because we played 12.77% proportionally lower than the best performance in the above example.

The unit rating index U is calculated multiple times for each sound source played. The evaluation items obtained through the plurality of unit evaluation indices calculated in this way are largely a performance time evaluation index and a performance evaluation index. First, we explain the performance time evaluation index.

This is a performance time evaluation index obtained by statistically analyzing the unit evaluation index according to a performance time obtained from a plurality of times of played sounds.

4 and 5 are diagrams related to the performance time evaluation index.

The performance time evaluation index Q is calculated by applying the unit evaluation indexes according to a performance time to the statistical analysis function R as shown in the following formula (2).

Here, the statistical analysis function R is one of various statistical methods such as an arithmetic mean, a sum, a median, a mode, a maximum value, and a minimum value of vector components (values for the same sound source characteristics) of each unit evaluation index.

The statistical analysis function R may be the same for all sound source characteristics or differently set for each sound source characteristic. As an example of specifying each sound source characteristic differently, the statistical analysis function R takes an arithmetic average in the evaluation of the pitch, but it is possible to select the median value calculation for the fastness. In U _1, U _2, U _3, etc. is an evaluation index calculating unit and the like corresponding to the sequence playing a sound source P _1, P _2, P ₃ input. Also, t means a specific playing time.

As a concrete example, it is assumed that each played sound source in FIG. 3 calculates a variation amount of pitch, speed, and speed as pitch characteristics, and the unit evaluation index has three vector components. For the sound sources played over 8 times, the performance evaluation index Q is obtained, and the statistical analysis function R is applied equally to the arithmetic mean for all the sound source characteristics.

In the Q (1.1) to Q (1.3), the performance time evaluation index Q is calculated for each performance time. Since the performance sources P ₁ and P ₂ were played during the performance time, the unit evaluation indexes U ₁ 1.1) to calculate the U ₁ (1.3) and U ₂ (1.1) to U ₂ (1.3) calculate the arithmetic mean of the duration evaluation index (Q (1.1) has a) to Q (1.3)).

From Q (2.1) to Q (3.2), the unit evaluation indexes (U ₂ , U ₃ and U ₄ to U ₈ ) obtained from the performance sound sources P ₂ and P ₃ to P ₈ And calculates a performance time evaluation index.

As described above, in calculating the performance time evaluation index, only the performance source actually played in the performance time can be selected and considered.

The thus-calculated performance time evaluation index Q enables to know how much the sound source played in a plurality of times differs from the best performance by the performance time.

The value of the performance time evaluation index can be displayed on the display means with the score and the degree of increase / decrease according to the performance time as a graph, so that the teacher can more easily perceive it.

The part where the performance time evaluation index increased greatly is the part where the teacher made a lot of mistakes by playing very differently from the best performance, or very originally played part. The instructor will be given a quantitative assessment of his performance and will be able to clearly identify which part of the piece he needs to correct.

Meanwhile, a method of calculating the performance time evaluation index can be applied to calculate information on the number of exercises performed per performance time.

First, the unit evaluation index is changed to a unit number in each performance information. Where the unit number can be one. Then, the statistical analysis method of the performance time evaluation index is calculated by summing the unit evaluation index for each performance time.

In this case, the performance time evaluation index is calculated as the number of performance exercises for each performance time, so that the performer can know which performance section he / she has practiced.

The information on the number of performance exercises for each performance time is obtained by dividing the value of the summed sound source characteristics by a factor when the statistical analysis function R is set to take an average in calculating the performance time evaluation index as described above Can be utilized.

Fig. 5 relates to another example of calculating a performance time evaluation index.

In calculating the performance time evaluation index Q, it is possible to further select which of the sound sources input through a plurality of times is to be subjected to statistical analysis.

For example, if some of the sound sources (P ₁ , P ₃ , P ₈ ) of a total of eight sound sources know that there is a significant mistake made by the tutor at the time of performance, In the calculation of the exponent Q, the tutor may exclude these sound sources. The sound sources not selected in the drawing are indicated by blurred lines.

From time to time, the instructor may wish to calculate the performance time rating index Q with only the recently played sound sources, except for the earliest played sound sources. As described above, the performance time evaluation index is calculated only by the recently played performance sound sources, so that the practice performance can be more accurately known.

On the other hand, Fig. 6 is related to the number of concurrent performance evaluation indexes in another embodiment.

The concert number evaluation index E is a statistical analysis according to the input degree of the sound source played, and the evaluation according to the number of times of performance is calculated.

The concert number evaluation index E is calculated by the following equation (3) for each sound source played.

Here, the statistical analysis function R is one of various statistical methods such as an arithmetic average, a sum, a median, a mode, a maximum value, and a minimum value of vector components (values for sound source characteristics of the same kind) of each unit evaluation index U _n .

When the unit evaluation index U _n is a vector calculated for a plurality of sound source characteristics, the statistical analysis function R is applied to each vector component of the unit evaluation index.

Also, the play time t can be applied to the whole of the tune. Alternatively, the performance time t can be applied to the performance time that is sampled periodically at regularly spaced intervals. For example, if you set the sampling interval of the performance time to 3, you can set the first play time (1.1 in the figure), the fourth play time (2.2 in the figure), the 7th play time The evaluation index of the concert number is calculated based only on the unit evaluation index corresponding to the sampled performance time. These sampling methods reduce the amount of data to be calculated, so they are important when the performance time of a song is large.

Alternatively, the play time can be applied to the musical score divided by a real number interval. For example, one score of a score may be divided into four quarters, and only the unit rating indexes corresponding to each interval of 0.25 intervals may be selected to calculate the score of the number of concerts. The performance time sampling method based on this score also has the effect of reducing the amount of data to be calculated.

The evaluation number E of the concert number is evaluated according to the number of times of the performance sound source, so that it is possible to grasp the degree of increase or decrease in performance of the performance as the number of performances increases. By looking at the change in the number E of concert evaluations E according to the number of plays, the trainee can ascertain how fast his or her performance is growing.

FIG. 7 relates to a method for calculating a performance index of performance according to another embodiment of the present invention. In another embodiment, in calculating the concert number evaluation index E, a step of selecting a performance sound source to be subjected to statistical analysis is further performed.

For example, among a plurality of performance sources, a user can calculate an evaluation index of the number of concerts for the remaining played sources, except for some of the performance sources that were played prematurely.

Alternatively, it is possible to determine whether the performance of the performance practice of the performance section is improved with respect to the performance section by calculating and comparing the performance evaluation index using only some of the performance sources whose performances are similar to each other.

Figure 8 relates to a performance management method according to another embodiment of the present invention.

In the illustrated embodiment, the performance time evaluation index Q and the performance evaluation index E described above are calculated at the same time. At this time, all the input sound sources may be targeted, or the selected sound sources may be selected as the evaluation target by selecting a performance section and a plurality of sound sources as shown in the figure.

To this end, the trainer can specify a specific section of the musical score or example performance and select the sound source to be evaluated.

For example, the specification of the performance section is made by selecting a start point and an end point in the score, and the sound sources determined to have played the performance section according to the specified performance section can be automatically selected. Alternatively, the selection of the sound source can also be made by the user.

The performance time evaluation index Q and the performance evaluation index E of the above-described embodiments are calculated with the unit evaluation indexes of the selected sound source and the performance section. The calculated performance time evaluation index Q and the concert number evaluation index E are processed into graphs or numerical values and provided to the tutor.

By selecting several sound sources and a performance section to be evaluated, the trainer can grasp precisely how much of the performance is being improved by the number of times of performance in a specific performance section.

Meanwhile, the database according to the embodiment of the present invention can be used to calculate information on the personal performance characteristics of the tutor for each piece of music by the tutor having sound sources covering a plurality of times.

For example, when a musical score is used as an evaluation reference, a teacher may tend to deviate to a certain level in most performances, compared with a performance characteristic obtained from interpretation of a musical score in a musical interval having a specific pattern. These differences can be deduced from differences in various performance characteristics such as beat, pitch, and speed, and are information obtained from the analysis of the unit evaluation index.

In this way, it is possible to analyze the teaching habits and original patterns of the tutor through the database. For example, the teacher A has a characteristic that the middle note is played stronger than the best performance for each stage of the third stage, and the teacher B has a tendency that the tempo of the beat gradually increases as the song progresses Can be confirmed.

The personal characteristics of these teachers are often attributed to improper performance, but sometimes they can be seen as representing the originality of the individual.

Based on the characteristics of the individual using the database, it is possible to provide a personalized sound source according to the tendency of the tutor.

Specifically, when a teacher plays a musical instrument composed of a combination of four musical instruments, the musical instrument of the other three musical instruments is modulated in accordance with the performance pattern of the teacher, And present it to the teacher. As a result, the tutor can experience playing with other performers who have practiced with him for a long time, and can practice the ensemble according to his / her own taste.

10: input unit, 20: matching unit, 30: database
40: Evaluation section, 50: Output section
100: smartphone, 200: server device

Claims (11)

A database is constructed by matching a sound source played plural times in association with the best performance as an evaluation reference so as to match the performance time of the best performance,
And performing the evaluation of the sound source by comparing the sound source played with the exemplary performance for each performance time. The method of claim 1,
The exemplary performance
Music,
And a sound source played by a plurality of experts is statistically generated for each performance time. The method of claim 1,
During the matching process between the exemplary performance and the sound source,
And visualizing the performance period of the exemplary performance matched with the sound source through the display means. The method of claim 1,
The evaluation
And calculating the performance characteristics of the sound source played with the exemplary performance in accordance with the performance time,
The performance characteristics
A pitch, a strength, a beat, a speed, a change amount of a speed, and combinations thereof. The method of claim 1,
The evaluation
Calculating a unit evaluation index by comparing the performance characteristics of the sound source played with the exemplary performance for each performance time,
A plurality of the unit evaluation indexes obtained on the basis of a plurality of times of played sound sources are statistically analyzed for each performance time to calculate a performance time evaluation index according to each performance time. The method of claim 5,
In calculating the performance time evaluation index
A performance management performance management method through a step of selecting a sound source to be a target of statistical analysis among a plurality of sound sources. The method of claim 5,
The unit evaluation index is changed to a unit number,
Wherein the statistical analysis is performed by summing up the unit evaluation indexes to calculate the performance time evaluation index and using the performance time evaluation index as information on the number of exercises per performance time. The method of claim 1,
The evaluation
Calculating a unit evaluation index by comparing the performance characteristics of the sound source played with the exemplary performance for each performance time,
A performance performance performance management method for statistically analyzing a plurality of unit evaluation indices obtained based on a plurality of times of a played sound source and an input degree of the sound source to calculate an evaluation index of the number of concerts according to the number of performances. 9. The method of claim 8,
In calculating the number of concerts,
And a performance sound performance management method for selecting a performance sound source to be subjected to the statistical analysis. For example,
Wherein the sound sources that have been played for the performance time of at least one exemplary performance are stored so that the sound sources inputted over a plurality of times are matched with the performance times of the exemplary performances. An input unit for receiving the sound source played,
A matching unit for matching the input sound source with respect to the best performance for each performance time,
And storing the result of the matching unit, the database according to claim 10,
An evaluation unit for quantitatively calculating an evaluation of the sound source by comparing the sound source played with the exemplary performance for each performance time through the database;
And an output unit for outputting a result of the evaluation unit.

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