JPH06274158A - Musical performance anlayzing device - Google Patents

Abstract

PURPOSE:To accurately analyze a musical performance irrelevantly to the skillfulness of an actual musical performance by collating live performance information generated corresponding to the actual musical performance with music information. CONSTITUTION:A music data supply means supplies music data as reference data. A live performance data supply means supplies live performance data generated corresponding to the actual musical performance of a player. A collating means regards the live performance data performed at musical performance timing included in a specific time range as data on a musical performance at the same performance timing and collates the live performance data with the music data. An analyzing means analyzes the distribution of the keying time, etc., of the live performance for the music information on the basis of the collation result of the collating means.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a performance analysis device, and more particularly to performance information on a musical score (hereinafter also referred to as musical score information) and performance information generated in response to an actual performance (hereinafter referred to as actual performance information). (Also called) can be appropriately compared regardless of the skill of the actual performance, and as a result, the actual performance information,
Therefore, the present invention relates to the one that enables the player's performance to be accurately analyzed.

[0002]

2. Description of the Related Art For example, in the field of electronic keyboard musical instruments,
The musical performance information, which is the musical performance information on the musical score, is compared with the actual musical performance information obtained as a result of the player's actual performance according to the musical score corresponding to the musical score information, and the actual musical performance information is analyzed, and based on this analysis , It has been conventionally performed to determine the characteristics of the performer's performance. That is, for example, the pitch data in the musical score information and the corresponding pitch data in the actual performance information are sequentially collated, and the pitch data in the actual performance information is compared with the duration (duration) of the pitch data in the musical score information. Is analyzing the duration of. By this analysis, the tempo fluctuation characteristic peculiar to the performer (a habit of performing a certain part of a piece of music with a fast tempo and another part with a slow tempo), etc. The characteristics of can be determined.

[0003]

However, in the prior art, a chord for which the performer plays keys with correct pitches in the correct order according to the score, and a plurality of keys must be pressed simultaneously is considerable. It was not possible to accurately find the pitch data of the actual performance information corresponding to each pitch data of the score information unless the keys were pressed simultaneously. That is, for example, when the performer is inexperienced, an incorrect key is often mistakenly pressed (that is, a mistouch), or at the same time, the chords to be pressed are pressed relatively disjointly. In such a case, the pitch data does not match at all between the musical score information and the actual performance information, or the performance timing is significantly deviated. For this reason, the musical score information and the actual performance information cannot be properly collated, and the duration and the like in the actual performance information cannot be accurately analyzed. Therefore, it was not possible to accurately analyze the characteristics of the performer's performance.

The present invention has been made in view of the above points, and appropriately collates the musical score information with the actual performance information generated in response to the actual performance regardless of the skill of the actual performance. Therefore, the present invention intends to provide a performance analysis device capable of accurately analyzing the performance by the performer.

[0005]

A performance analysis apparatus according to the present invention comprises a score data supply means for supplying score data,
Real performance data supplying means for supplying the real performance data generated according to the actual performance, and each real performance data of the performance timing included in the predetermined time range are regarded as data played at the same performance timing, Collating means for collating assuming the correspondence between the real performance data and the score data, and analyzing means for analyzing a difference between the real performance data and the score data whose correspondence is confirmed by the collating means. It is equipped with.

[0006]

In this specification, the term "information" is a superordinate concept of "data", and "score information" and "actual performance information" are composed of score data and actual performance data, respectively. The musical score data supplying means supplies musical score data such as pitch data that constitutes musical score information as reference data. On the other hand, the actual performance data supply means supplies actual performance data such as pitch data that constitutes the actual performance information. Specifically, the actual performance data performed by the performer corresponding to the musical score information. The actual performance data such as the pitch data generated according to the above is supplied. The matching means regards the real performance data played at the performance timing included in the predetermined time range as the data played at the same performance timing, and matches the real performance data with the score data. In this way, even when the performer is inexperienced and the chords are played relatively separately, not exactly at the same time, the actual performance data of the chord is compared with the score data of the chord. Can create appropriate correspondence. When the matching is confirmed by the collating unit, the analyzing unit analyzes the difference between the musical score data and the actual performance data.

The present invention is not limited to the case where the actual performance information is entirely collated and analyzed with the musical score information, but locally, that is, the musical score data and the actual performance data are grouped for each predetermined performance timing and dealt with. It can also be applied to the case where actual performance data is collated and analyzed with the score data for each group. Therefore, an embodiment in which this fact is clearly limited is as follows. Musical score data supplying means for supplying musical score data, actual musical performance data supplying means for supplying actual musical performance data generated according to an actual performance, and musical score data grouping for grouping the musical score data at predetermined performance timings. Means and the musical score data are grouped into groups in which the musical score data are grouped, by regarding each actual musical performance data of the musical performance timing included in a predetermined time range as the data played at the same musical performance timing. The actual performance data grouping means for grouping the actual performance data for each predetermined performance timing, the collating means for collating the musical score data and the actual performance data for each group in any order, and the collating means. As a result of the comparison, if the actual performance data matches the score data more than a predetermined degree, the actual performance data Playing analyzer equipped with an analysis means for performing analysis.

[0008]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The present invention will be described in detail below with reference to the accompanying drawings. FIG. 1 is a block diagram showing the overall hardware configuration of a performance analysis device according to an embodiment of the present invention. The performance analysis device collates the musical score information of an arbitrary musical score with the actual musical performance information actually played by the performer according to the musical score, and based on this collation, analyzes the actual musical performance information, and hence the performance of the performer. To do. In this device,
Various processes are controlled by the microcomputer MC including the CPU 2, the data / program ROM 3, and the data / working RAM 4. The musical score data input device 6, keyboard KB, musical score data memory SD, actual performance data memory PD, analysis data memory AD, tone generator circuit 9, operation panel OP, etc. are connected to the microcomputer MC via a data and address bus BUS. Has been done.

The musical score data input device 6 is for inputting various data constituting musical score information in the order of progression of music. In this embodiment, a step input operation using the input switch or the like of the device 6 makes it possible to generate, for each sounding event, timing data indicating the sounding timing (on-timing), and the sound of a musical tone to be generated at the sounding timing. A key code, which is data indicating high, is input. In this embodiment, since it is not necessary, the data indicating the muffling timing (off timing) is not input. As described above, the timing data and the key code input by the musical score data input device 6 are sequentially stored as musical score data in the musical score data memory SD including the RAM in the memory format illustrated in FIG. Note that, in FIG. 2, "end code" is data indicating the end of one music piece.

The keyboard KB is provided with a plurality of keys for designating the pitch of a musical tone to be generated. In this embodiment, the keyboard KB is played according to the score corresponding to the score data stored in the score data memory SD. It is used by the player to actually play in real time. Depending on such a performance, the keyboard K
From B, a key code which is pitch data of each pressed key and timing data indicating the key-on timing thereof are generated. The key code and timing data are
The actual performance data is sequentially stored in the actual performance data memory PD including a RAM in the same memory format as the musical score data illustrated in FIG. In this case also, since it is not necessary, the data indicating the key-off timing is not stored. In the tone generator circuit 9, a tone signal having a pitch corresponding to the pressed key is generated with a tone color and volume characteristic set separately via the operation panel OP or the like. The tone signal thus generated in the tone generator circuit 9 is D / A converted and then acoustically sounded through the sound system SS.

As will be described later in detail with reference to FIG. 2, in this embodiment, the musical score data stored in the musical score data memory SD and the actual performance data memory PD
The actual performance data stored in is grouped for each predetermined performance timing. That is, the musical score data stored in the musical score data memory SD is divided and stored again by the "delimiter code" SGC for each same performance timing. On the other hand, the real performance data stored in the real performance data memory PD is the data in which the respective real performance data of the performance timing included in the predetermined time range is played at the same performance timing so as to correspond to the musical score data group. And the same performance timing is grouped by the "delimiter code" PGC. That is,
In this way, the actual performance data of the chords that are relatively disengaged within the predetermined time range are stored as being played at the same timing. Therefore, the actual performance data of the chord is stored in the musical score data memory S.
It becomes possible to collate with the score data of the same chord in D accurately.

Thereafter, the key codes of the actual performance data group thus grouped are as follows:
The key codes of the corresponding musical score data group are collated in any order. As a result of the collation, the key code of the actual performance data group (three key codes in the case of chord) matches the key code of the corresponding musical score data group by a predetermined degree (66% in this embodiment) or more. In this case, regarding the group, it is considered that the key codes of both data completely match, and the actual performance data is analyzed with respect to the score data. By doing so, even if there is some mistouch in the chord performance, the actual performance data can be appropriately collated and analyzed with respect to the score data.

In this embodiment, the ratio of the average duration of each key code in the actual performance data group to the duration of the key code in the musical score data group is calculated. The calculation of this ratio is performed for each actual performance data group. As will be described later, in the X coordinate data area X of the analysis data memory AD,
The value of the timing data of each score data group is stored as X coordinate point data, and the ratio of the duration of each actual performance data group to the duration of the score data group is Y coordinate point in the Y coordinate data area Y of the analysis data memory AD. It is stored as data. Thus
A temporal change of the duration ratio of each actual performance data group, that is, a temporal change with the progress of the performance is displayed on the display DIS provided on the operation panel OP.
As illustrated in FIG. 3, each of the X-axis and Y-axis is displayed on the display DIS.
A temporal change curve of the duration ratio over the actual performance information obtained by interpolating the axial coordinate point data is displayed. In the change curve shown in the figure, the valley portion indicates that the duration ratio of the actual performance is low (that is, the performance tempo is relatively slow), and the peak portion indicates the duration ratio of the actual performance is high (that is, the performance tempo is relatively fast). )
It is shown that.

The operation panel OP is further provided with a switch group for making various settings and selections. In the switch group, the score data grouping start switch 12 for starting the process of grouping the score data stored in the score data memory SD as described above, the actual performance data stored in the actual performance data memory PD are grouped. An actual performance data grouping start switch 13 for starting the conversion processing and a collation analysis processing start switch 14 for starting the processing for collating and analyzing the grouped musical score data and the actual performance data are included.

The following registers, which are used in various processes described later, are prepared in a predetermined area of the data and working RAM 4. SG: A score data group counter that counts the grouped score data groups by incrementing by one each time a delimiter code is inserted when the score data stored in the score data memory SD is grouped. PG: A real performance data group that counts the grouped real performance data group by incrementing one step each time a delimiter code is inserted when the real performance data stored in the real performance data memory PD is grouped. counter. G: A collation analysis group counter indicating an actual performance data group to be collated and analyzed for the score data.

CN: A coincident key code number register for storing the number of key codes in the actual performance data group, which coincides with the key code of the corresponding musical score data group. TN: Total key code number register that stores the total number of key codes of the corresponding musical score data group. AVET: An average timing register that stores the average timing of the musical score data group and the actual performance data group whose key code matches. PRET: A previous average timing register that stores the average timing of the actual performance data group that was previously collated and analyzed. RAT: A duration ratio register that stores the duration ratio of the actual performance data group with respect to the duration of the corresponding musical score data group.

Further, the following pointers are used. P: A score data read pointer that specifies an address for reading the score data stored in the score data memory SD. A: A first actual performance data read pointer for designating an address for reading the timing data of the actual performance data stored in the actual performance data memory PD. B: A second address for designating an address two behind the address designated by the first actual performance data read pointer A
The actual performance data read pointer of.

Next, an example of various processes executed by the microcomputer MC will be described with reference to the flowcharts shown in FIGS. FIG. 4 shows an example of the main routine. In this main routine, in the musical score data input / storage process of step 31, the timing data and the key code which are stepwise input through the input switch as described above are stored in the musical score data memory SD in the memory format shown in FIG. Perform processing. In the actual performance data input / storage process of step 32, the timing data and the key code generated from the keyboard KB as the performer plays in real time on the keyboard KB are stored in the performance data memory PD in the memory format shown in FIG. Perform the process of storing. In this actual performance data input / storage process, the timing data and key code relating to an extremely short key depression time that is shorter than the predetermined key depression duration time (gate time) are not stored in the actual performance data memory PD. As a result, the correspondence between the musical score data stored in the musical score data memory SD and the actual musical performance data stored in the actual musical performance data memory PD momentarily mistouches a pitch key not described in the musical score. It is designed to prevent the confusion caused by the data generated accordingly. Therefore, this also makes it possible to appropriately collate and analyze the actual performance data.

In the musical score data grouping process of the next step 33, the musical score data grouping start switch 12
In response to the ON event of, the musical score data stored in the musical score data memory SD is grouped at the same timing as described above. Similarly, step 34
In the real performance data grouping process of, the real performance data grouping start switch 13 responds to the ON event,
As described above, the real performance data stored in the real performance data memory PD is grouped at the same timing. Details of the musical score data grouping process and the actual performance data grouping process will be described later with reference to FIGS. 5 and 6. Further, in the collation and analysis process of step 35, the musical score data and the actual performance data grouped as described above are collated and analyzed for each corresponding group. That is, as will be described later in detail with reference to FIG.
By collating the key code of the musical score data group with the key code of the corresponding real performance data group, the degree of coincidence of the key code between both data is detected out of order,
If the degree of coincidence is equal to or higher than the predetermined degree, the process of analyzing the duration of the actual performance data with respect to the duration of the score data is performed as described above. And next step 3
In step 6, a process is performed to determine whether or not the actual performance information for each data group matches the score information in an analyzable manner, that is, whether or not the matching of both information is successful. When the result of matching failure is obtained in step 36, other necessary processing is performed (step 3
7) The main routine ends. On the other hand, when the result of successful matching is obtained in step 36, as described above with reference to FIG. 3, the time-varying curve of the duration ratio for each actual performance data group is displayed on the display DIS (step 38).

--Score Data Grouping Process-- FIG. 5 shows details of the score data grouping process for dividing the score data stored in the score data memory SD at the same timing by the delimiter code SGC as described above. An example is shown. First, immediately after the score data grouping start switch 12 is turned on, the value of the score data group counter SG is set to 1 and the value of the score data read pointer P is set to 0 (step 41).
By setting the value of the score data read pointer P to 0 in this way, it becomes possible to read the first timing data relating to the first key code stored at the 0th address of the score data memory SD. Then, in the next step 42, the address (SD (P) two after the address (SD (P)) of the musical score data memory SD currently designated by the musical score data read pointer P is set.
It is checked whether the data stored in (+2)) is an end code (SD (P + 2) = end code). That is, since the key code is always stored at the address immediately after each timing data in the musical score data memory SD, the second address (P +) from the current timing data is stored.
It is checked whether the data stored in 2) is the end code.

In the first part of the musical score data, the data stored at the address (P + 2) two after the current timing data is not the end code but the next timing data for the next key code. Therefore, the result of step 42 is NO, and in this case, the process proceeds to the next step 43. In step 43, it is checked whether the timing data stored in the address SD (P) of the musical score data memory SD and the next timing data T2 stored in the address SD (P + 2) are the same. When these timing data are related to, for example, the key code of the chord constituent tones to be pressed simultaneously, these timing data are the same and the result of step 43 is YES. Therefore, in this case, since it is not necessary to insert the delimiter code SGC, only the process of adding 2 to the musical score data read pointer P is performed (step 4
4) and returns to step 42.

Thus, the above-described processing is repeated for the next timing data and the next timing data. Hereinafter, until the result of step 43 becomes NO, the above-described processing of steps 42 to 44 is sequentially repeated for each timing data (in the case of a chord, it is performed twice). In these cases,
Since it is not immediately after the musical score data grouping start switch 12 is turned on, the processing of step 41 is not performed.

<Insert Delimiter Code> In step 43, NO, that is, the result that the timing data stored in the address SD (P) and the next timing data stored in the address SD (P + 2) are not the same. When it is obtained, step 45 and subsequent steps are performed in order to perform the process of inserting the delimiter code SGC for grouping. First, at step 45, the data stored in the final address (SD (j)) of the musical score data memory SD storing the musical score data, that is, the end code, is set to the address SD next to the final address.
(J + 1), and so on. Similarly, the address SD (P +
2) Move the subsequent data to the next address. Then, in the next step 46, the delimiter code S is added to the address SD (P + 2) which has become empty.
Insert GC. In this way, the delimiter code SGC
Thus, a score data group SGROUP (for example, "group 0" in FIG. 2) belonging to the first timing is formed.

After that, 3 is added to the score data read pointer P to read the timing data stored at the next address of the delimiter code SGC (step 47), and 1 is added to the value of the score data group counter SG (step 48). ), And returns to step 42. In this way, the above-mentioned processing is performed to form the next group. Hereinafter, the result of step 42 is YES, that is, S
Until timing D (P + 2) = end code, the respective timing data are sequentially read and the above step 42 is performed.
~ The process of step 48 is repeated. As a result, the musical score data stored in the musical score data memory SD is sequentially grouped at the same timing. The group number of the last group is SG-1.

In step 42, SD (P +
2) = When the result is the end code, it is not necessary to perform the musical score data grouping process anymore, and therefore the process returns to the main routine without performing the processes of step 43 and thereafter.

--- Actual performance data grouping process --- As shown in FIG. 6, by the delimiter code PGC,
It shows a detailed example of the real performance data grouping process for grouping the real performance data stored in the real performance data memory PD. First, if it is immediately after the actual performance data grouping start switch 13 is turned on, step 5
At 1, the value of the first actual performance data pointer A is set to 0, and the value of the second actual performance data pointer B is set to 2. In this way, it becomes possible to read the first timing data relating to the first key code stored at the 0th address of the real performance data memory PD (hereinafter, designated by the first real performance data pointer A in this way). The timing data stored in the address is referred to as the current timing data.) The second timing data stored in the second address can be read. In step 51, the value of the real performance data group counter PG is set to 1.

Then, in the next step 52, whether the data stored at the address (PD (B)) currently designated by the second actual performance data pointer B is an end code (PD (B) = Check the end code).
In the first part of the real performance data, the data stored at the address currently designated by the second real performance data pointer B is not the end code but the timing data for the next key code (hereinafter, Since the timing data stored at the address designated by the real performance data pointer B of 2 is usually referred to as the next timing data), step 5
The result of 2 is NO, and in this case, the process proceeds to the next step 53.

In step 53, the time interval between the timing indicated by the current timing data and the timing indicated by the next timing data is larger than a predetermined reference interval REFT (that is, (PD (B) -PD (A)> REF
T) is checked. The reference interval REFT is
Considering some variations in key depression timing that would normally occur when a relatively unskilled player plays chords that should be simultaneously depressed on the keyboard KB, if the variation is within a certain variation range, It is a value set to determine that each timing is the same. Therefore, when these timing data relate to, for example, chords to be pressed simultaneously, the result of step 53 is NO. In this case, since the timing data are judged to be substantially the same, it is not necessary to insert the delimiter code PGC. Therefore, only the process of adding 2 to the second actual performance data pointer B is performed (step 54), and step 52 is executed. Return.

In this way, the above-mentioned processing is repeated using the next timing data as new current timing data. Hereinafter, until the result of step 53 becomes YES, that is, the time interval between the timings indicated by the two adjacent timing data is the reference interval REF.
Until it becomes larger than T, the respective timing data are sequentially read out and the above-mentioned steps 52 to 54 are performed.
Is repeatedly performed (for chords, it is performed twice). In these cases, the process of step 51 is not performed because it is not immediately after the actual performance data grouping start switch 13 is turned on.

<Insert Delimiter Code> If YES in step 53, that is, if the result that the time interval between the current timing data and the next timing data is larger than the reference interval REFT, the process proceeds to step 55. In step 55, the second actual performance data pointer B
Check if the value of is 4 or more. That is, as shown in FIG. 8, for the group currently being processed, two pieces of timing data (T in FIG.
c, Tb) Examine for existence. When the result of step 55 is YES, the process proceeds to step 56. In step 56, PD (B-2) -P is set for three or more timing data including the next timing data.
D (B-4)> PD (B) -PD (B-2), that is, the time interval between the timing data immediately before the next timing data and the timing data immediately before the next timing data is It is checked whether it is larger than the time interval between the next timing data and the timing data immediately before the next timing data. That is, in the example of FIG. 8, the timing data Tc (PD (B-2)) immediately before the next timing data Tn (where PD (B) is stored) and the timing data Tn immediately before the next timing data Tn. Timing data Tb
It is checked whether the time interval T1 with (PD (B-4)) is larger than the time interval T2 between the next timing data Tn and the timing data Tc immediately before the next timing data. When the result of step 56 is YES, in the next step 57, 2 is subtracted from the value of the second actual performance data pointer B. In this way, the second actual performance data pointer B is returned to the address PD (B-2) where the previous next timing data (that is, Tc) is stored.

Then, in the next step 58, the data or end code stored at the final address (PD (j)) of the actual performance data memory PD storing the actual performance data is set to the final address. To the next address PD (j + 1) of
(B) The subsequent data is moved to the next address. Then, in the next step 59, the group delimiter code PGC is inserted into the vacant address PD (B). That is, in this case, the group delimiter code PGC precedes the previous next timing data Tc.
Is inserted. In this way, the group delimiter code PGC
By the first actual performance data group PGROUP
(Eg "Group 0" in FIG. 2) is formed.

When the result of step 55 is NO, that is, when two or more timing data do not exist before the next timing data for the group currently being processed, step 56 and step 57 are skipped and step Do 58 or less. That is, in this case, the group delimiter code PG precedes the next timing data of this time.
C is inserted. When step 59 ends, the first actual performance data read pointer A is set to a value (B + 1) obtained by adding 1 to the value of the second actual performance data read pointer B (step 60), and then the second actual performance. The data read pointer B is set to the value of the first actual performance data read pointer A by 2
(S + 2), and 1 is added to the value of the actual performance data group counter PG (step 62). In this way, the above process is performed for the next group. Hereinafter, until the result of step 52 is YES, that is, PD (B) = end code, the above-mentioned steps 52 to 52 are sequentially performed for each timing data.
The process of step 62 is repeated. This allows
The real performance data stored in the real performance data memory PD are sequentially grouped at the same timing. The group number of the last group is PG-1.

When the result of SD (P + 2) = end code is obtained in step 52, it is not necessary to perform the actual performance data grouping process anymore, so step 5
The process directly returns to the main routine without performing the processes of 3 and below.

--- Collation Analysis Process-- FIG. 7 is a process for collating and analyzing the musical score data and the actual performance data grouped by the above-described grouping process for each corresponding group.

<Comparison Processing> First, in step 70, it is checked whether the number of groups of the musical score data grouped as described above is equal to the number of grooves of the actual performance data, that is, SG = PG. NO in step 70
If it is, it is determined that the collation is impossible, that is, the matching fails (step 71), and the process returns to the main routine without performing other processing. On the other hand, when the number of groups of musical score data is equal to the number of grooves of actual performance data, the process proceeds to step 72. In step 72, each group of score data (that is, SG-
The value of the timing data of the first group) is set to the X coordinate data area X (j) (j = 0,
, SG-1). Then, in step 73, the collation analysis group flag G is set to 0. Thus, in the following steps, the musical score data group SGRO is sequentially processed from the 0th group to the last group.
A process of collating and analyzing the UP and the corresponding actual performance data group PGROUP will be performed.

In step 74, the key code of the musical score data group SGGROUP and the key code of the actual musical performance data group PGROUP are checked for each corresponding group, and the actual musical performance data group PGROUP of the musical score data group PGROUP corresponding to the key code of the musical score data group SGROUP is collated. Determine the number of key codes. In step 75, the number of key codes thus determined is stored in the coincident key code number register CN. Further, in step 76, the total number of key codes of the musical score data group SGROUP is stored in the key code number register TN. Then, the next step 77
In, the value stored in the matching key code number register CN is divided by the value stored in the key code number register TN to calculate the key code matching rate for the actual performance data group PGROUP, and whether the matching rate is 66% or more. Find out. When it is 66% or more, it is considered that the key codes completely match, and in the following steps, a process of analyzing the actual performance data of the group with reference to the musical score data is performed. 66% here
Even if an inexperienced player does not press a chord correctly, the above is determined to be a complete key code match if two out of three key codes match. This is because By doing so, it is possible to appropriately analyze the actual performance data to a certain degree regardless of the skill of the performance.

In step 78, step 7 described later is executed.
9 and the value stored in the average timing register AVET by the processing of step 80 is used as the average timing of the previous actual performance group PGROUP (previous average tamming).
The value is stored in the previous average timing register PRET as a value. In the case of the 0th, that is, the first actual performance group PGROUP, the previous actual performance group PGROUP
There is no P and the value of the average timing register AVET is 0.
Therefore, 0 is stored in the register PRET and the process proceeds to the next step 79. In step 79, the total value of the timing data values of the respective keycodes that match the keycodes of the corresponding musical score data SGROUP in the actual performance group PGROUP currently being processed is stored in the average timing register AVET. Then, in the next step 80, the value stored in the average timing register AVET is divided by the value stored in the coincident key code number CN in step 75 to obtain the actual performance group P of this time.
The average timing value of GROUP is obtained, and the average timing value is stored in the average timing register AVET.

Then, in the next step 81, it is checked whether the value of the collation analysis group counter G is 1 or more. If it is the 0th real performance group PGROUP, step 81
The result is NO. In this case, 1 is simply added to the real performance group PGROUP (step 82), and it is checked whether the count value of the real performance group PGROUP is equal to the count value of the musical score data group counter SG (step 83). When the result of step 83 is NO, the process returns to step 74, and the same processing as described above is repeated for the next actual performance group PGROUP. Thus, step 8
If the result of 3 is YES, in steps 84 and 85, processing for analyzing the actual performance group PGROUP with respect to the corresponding musical score data group SGROUP is performed.

<Analysis Processing> That is, in step 84, the performance timing of the corresponding previous musical score data group is executed by executing the calculation of (AVET-PRET) / {X (G) -X (G-1)}. The ratio of the duration from X (G-1) to the performance timing X (G) of this musical score data group to the average timing PRET of the previous actual performance data group to the average timing AVET of this actual performance data group And the duration ratio is set to the ratio register RAT
To store. Then, in the next step 85, the ratio stored in the ratio register RAT is stored in the Y coordinate data area Y (G-1) of the analysis data memory AD as the duration ratio relating to the previous actual performance data group.

Thereafter, YES in step 83, that is, this collation and analysis process is completed for each group,
Until the result that the count value of the real performance group PGROUP is equal to the count value of the musical score data group counter SG is obtained, the processing from step 74 to step 82 is repeated. When step 83 becomes YES and the process returns to the main routine, as described above,
Based on the data stored in the X-coordinate data area X and the Y-coordinate data area Y of the analysis data memory AD, a time-dependent curve of the duration ratio is displayed on the display DIS as shown in FIG. In this way, it is possible to confirm the characteristics such as the tempo fluctuation of the actual performance with respect to the score.

In the above embodiment, the score data is input by step input by the input switch, but the score data may be input by scanning the score with a scanner. The actual performance data may be input by means other than the keyboard. Further, the present invention is not limited to the analysis of the duration of the musical score data, but may be the analysis of the sound volume and the like. Instead of AVET, the RAT may be calculated by representing the timing of the data having the maximum strength (the maximum velocity) in the group.

[0042]

As described above, according to the present invention, each real performance data of the performance timing included in the predetermined time range is regarded as the data played at the same performance timing, collated with the musical score data, and When the musical performance data matches the musical score data more than a predetermined degree, the actual musical performance data is analyzed. With such a configuration, the present invention can appropriately compare the musical score information with the actual performance information regardless of the skill of the actual performance.
Therefore, there is an excellent effect that the performance of the performer can be accurately analyzed.

[Brief description of drawings]

FIG. 1 is a block diagram illustrating the overall hardware configuration of a performance analysis device according to an embodiment of the present invention.

FIG. 2 is a diagram illustrating an example of a memory format common to a musical score data memory and an actual performance data memory.

FIG. 3 is a diagram showing an example of display contents of the display unit of FIG.

FIG. 4 is a flowchart showing an example of a main routine executed by the microcomputer shown in FIG.

5 is a flowchart showing an example of musical score data grouping processing executed by the microcomputer shown in FIG.

FIG. 6 is a flowchart showing an example of actual performance data grouping processing executed by the microcomputer shown in FIG.

7 is a flowchart showing an example of a collation analysis process executed by the microcomputer shown in FIG.

[Explanation of symbols]

2 ... CPU, 3 ... Data and program ROM, 4 ...
Data and working RAM, MU ... Microcomputer, SD ... Music score data memory, PD ... Actual performance data memory.

[Procedure amendment]

[Submission date] October 19, 1993

[Procedure Amendment 1]

[Document name to be amended] Statement

[Correction target item name] Figure 8

[Correction method] Added

[Correction content]

8 is a timing chart showing an operation example in the processing of FIG.

Claims (1)

[Claims] 1. A musical score data supplying means for supplying musical score data, an actual musical performance data supplying means for supplying actual musical performance data generated according to an actual musical performance, and performance timings included in a predetermined time range. The actual performance data is regarded as data played at the same performance timing, and the matching means for matching the actual performance data and the musical score data is assumed, and the actual matching data confirmed by the matching means. A performance analysis device comprising analysis means for analyzing the difference between performance data and the score data.