JP2007178696A - Fingering information generating device and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a technique for automatically generating fingering information suitable to a user. <P>SOLUTION: Once the user sets use frequencies of respective fingers, a fingering cost table for calculating fingering cost is corrected according to the setting contents. Through the correction, even the same fingering changes in fingering cost according to the setting contents. Consequently, user's intention is reflected on fingering determined while the fingering cost is determined. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a technique for generating fingering information indicating fingering when a musical piece is operated and operated in a group of performance operators provided on a musical instrument.

  For example, in a keyboard instrument, a musical piece is played by sequentially pressing keys to be pressed (operated). However, in reality, many performers who are unskilled in performance technology do not know which finger should press the key to be pressed. For this reason, fingering display devices that display finger information indicating the finger to be used for pressing the key to be pressed have been commercialized. The fingering information is used to display the finger information. The fingering information generation device automatically generates the fingering information. The fingering information for each key to be pressed in accordance with the progress of performance indicates, for example, the key, the timing at which the key should be pressed, and the finger to be used for the key pressing. Since the key and the timing at which the key should be pressed are given as performance data, the generation of fingering information corresponds to determining the finger to be used to press the key.

  As a conventional fingering information generation device, for example, there is one described in Patent Document 1. In any fingering information generation device, fingering information is generated based on identifying a finger that makes fingering easier.

The conventional fingering information generation device generates fingering information that is considered optimal for an average player assuming a large number of players. However, as is well known, physical characteristics and preferences vary depending on the performer. For this reason, there are many players who feel uncomfortable. For this reason, it is considered important to generate fingering information in accordance with the target player (user).
JP 2001-331173 A

  An object of the present invention is to provide a technique for automatically generating fingering information more appropriate for a user.

  The fingering information generation device according to the present invention generates fingering information indicating fingering, which is the carrying of a finger when performing music by operating among performance operators provided on the musical instrument. As a premise, for each performance operator to be operated according to the progress of music, the performance operator, data acquisition means for acquiring performance data indicating the timing at which the performance operator should be operated, and fingering information Information input means for inputting the user's personal information related to the generation of data, and the performance data acquired by the data acquisition means with reference to the performance data acquired by the data acquisition means, and the fingering information in consideration of the personal information input by the information input means Fingering information generating means for generating each time.

  The information input means is preferably capable of inputting at least one of the ease of use of each finger, the size of the hand, and the frequency of performing a predetermined finger use for performance as personal information. . In addition, the fingering information generation means is prepared for obtaining a difficulty level in fingering when any one of the ease of use of each finger and the size of the hand is input as personal information. It is desirable to generate fingering information in consideration of the personal information by updating the contents of the table.

  A program according to the present invention is a fingering information generation device that generates fingering information indicating fingering when a musical piece is operated by operating in a group of performance operators provided on a musical instrument. On the premise that it is executed by a feasible data processing device, a function for realizing the means included in the luck information generation device is installed.

  The present invention relates to generation of fingering information by acquiring performance data indicating a performance operator and timing for operating the performance operator for each performance operator to be operated according to the progress of the music. The user's personal information can be input, and the fingering information considering the input personal information is generated for each performance data with reference to the acquired performance data. By considering the personal information input by the user, the personal information can be reflected in the generation of fingering information. For this reason, fingering information more appropriate for the user can be generated more reliably.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.
FIG. 1 is a diagram illustrating a configuration of a fingering information generation device according to this embodiment.
As shown in FIG. 1, the fingering information generating apparatus 10 includes a CPU 11 that controls the entire apparatus 10, a RAM 12 that the CPU 11 uses for work, and a ROM 103 that stores programs executed by the CPU 11, various control data, and the like. For example, an interface for an input device such as a keyboard or a pointing device (such as a mouse), a medium driving device for accessing a recording medium such as a CD-ROM or DVD, an input unit 14 including the interface, and a display device And a display unit 15 for displaying an image.

  The fingering information generation device 10 is realized, for example, by mounting an application program (hereinafter, “fingering generation application”) for operating the fingering information generation device 10 on a personal computer (PC). The application is provided, for example, by being recorded on a recording medium accessible by the medium driving device constituting the input unit 14. The application may be distributed via a network such as the Internet. A writable memory (for example, a flash memory) is employed as the ROM 13 so that an application can be installed (installed). The PC that implements the fingering information generation device 10 may be one that is equipped with an auxiliary storage device such as a hard disk device in addition to or instead of the ROM 13. The display device on which the display unit 15 displays an image may be either an external device or a mounted device. Here, for convenience, it is assumed that the display device is mounted, that is, the display unit 15 is configured.

  In the present embodiment, for each musical sound to be generated in the performance of the music, performance data indicating the timing at which the musical sound should be generated and the pitch of the musical sound are acquired, and the fingering data is obtained by referring to the performance data. Generate. Thereby, performance data as shown in FIG. 2 is finally obtained. The performance data shown in FIG. 2 is written in the RAM 12, and the storage location is specified by a numerical value (index value) in parentheses indicated by [].

  The performance data is shown in FIG. , PNHTail, iNP, prev, and next. Each data is as follows.

  The data lTime indicates the sound generation start time. The sound generation start time is represented by, for example, the number of unit times (steps) handled by MIDI from the start of performance. Data lGate indicates the sound generation time. Data lTmsec indicates the sound generation start time indicated by the data lTime in absolute time (unit: msec). Data Pitch indicates the pitch of a musical sound (referred to as pitch number or note number). The data iPosX indicates the coordinates (X coordinate) on the keyboard of the key to which the pitch is assigned. The data cfg is a finger number indicating a finger assigned to the key depression. A value of 0 indicates the thumb, and similarly, 1 indicates the index finger, 2 indicates the middle finger, 3 indicates the ring finger, and 4 indicates the little finger. The data iHand indicates the part to which the musical sound generated by pressing the key belongs. The part is discriminated by a hand with a finger used to press the key, and 1 is stored as data iHand for the right hand part and 2 for the left hand. The data icost is an evaluation value (difficulty data) of the difficulty level of pressing a key with an assigned finger. Data cIsHarm indicates whether or not the musical tone is a constituent sound of a chord. The value is 0 if it is not a constituent sound, and is -1 if it is a constituent sound.

  The data iArpS is a head flag indicating whether or not the head tone is included in the arpeggio. Data iArpE is an end flag indicating whether or not the end (last) musical tone is present. These values are one of two predetermined values depending on whether or not they are applicable. The data pHTop is a pointer (index value) indicating the storage location of the performance data of the first note of the chord (the lowest note (lowest note)). The data pHTail is a pointer (index value) indicating a storage location of performance data of a chord end tone (top note (highest note)). Those index values are stored when the tone is a chord component. Otherwise, a predetermined fixed value is stored.

  The data cTendency is a value indicating the tendency of the arrangement (tone sequence) of musical sounds in the vicinity of the musical sounds (0 is extreme value, positive value is upward trend, negative value is downward trend, 1 is non-changing landing, 2 is otherwise) (With changes)). The data cTendSteps is the number of steps until reaching an extreme value. The data cIsSO is a flag indicating whether or not polyphony is present. The absolute value of the value indicates the number of sounds. A positive value indicates the presence of a musical sound that is simultaneously sounding before, and a negative value indicates the presence of a musical sound that is simultaneously sounded later. The data pPHTop is a pointer to performance data of the first tone of the chord constituting the previous string. Data pPHTail is a pointer to performance data of the end tone of the chord. The data pNHTop and pNHTail are pointers to the performance data of the chord's head tone and end tone, respectively, constituting the next string. The data iNP is a value indicating whether or not the assigned finger should not be used for pressing the key, and whether or not the prohibition condition is satisfied (0 indicates not applicable). Data prev is a pointer to previous performance data. Data next is a pointer to the next performance data.

  The above-mentioned data lTime, lGate, lTmsec, and Pitch are data indicating a musical sound to be generated and a period (timing) in which the musical sound is to be generated. Original performance data (hereinafter referred to as “actual performance data” to avoid confusion) Configure). These, as well as the data cfig and iHand, constitute fingering data. Among them, data cfig and iHand constitute minimum fingering data (hereinafter referred to as “minimum fingering data” to avoid confusion). The data other than the data prev and next are for generating the minimum fingering data.

  The actual performance data configured as shown in FIG. 2 is input to the fingering information generating apparatus 10 through a recording medium accessible by the medium driving device constituting the input unit 14 or via a communication network (not shown). . Here, it is assumed that the input is made by a recording medium.

  The fingering (minimum fingering) data is generated so that fingering is easier. However, whether or not the fingering is easy depends on the performer. The fingering you prefer to perform depends on the performer. For this reason, in this embodiment, the user can arbitrarily specify the fingering data generation conditions, and the user can generate more appropriate fingering (minimum fingering) data. .

  As the conditions, the usage frequency (ease of use) of each finger, the size of the hand, and special finger usage (predetermined finger usage for performance) can be specified. The reason why the frequency of use of each finger is adopted as a condition that can be specified is to reflect the degree that the user feels easy to use for each finger in the generation of fingering data. The use of the size of the hand changes the pitch difference (between keys that should be pressed continuously or keys that should be pressed at the same time) depending on the size. Because. The reason for using the special fingering is to reflect the degree of difficulty of the fingering in the generation of fingering data. By specifying one or more of these conditions as necessary, fingering data that is more appropriate for the user can be generated.

  Although the detailed description of the designation of each condition is omitted, the type of desired condition is selected and designated. When the usage frequency of each finger is selected as the condition, a setting screen as shown in FIG. 13 is displayed on the display unit 15 to relatively set the usage frequency of each finger for each hand. When the size of the hand (hand width designation) is selected as the condition, a setting screen as shown in FIG. 14 is displayed on the display unit 15, and the maximum width (in the direction along the line of fingers) is displayed for each hand. ) Is set by length. When a special finger usage is selected as a condition, a setting screen as shown in FIG. 15 is displayed, and the execution frequency is set. The setting is made by selecting one of “many”, “normal”, and “small”.

  The difficulty level (fingering cost) for generating two consecutive sounds is obtained with reference to the fingering cost table shown in FIG. In FIG. 3, “bw” is the keyboard type (0 is the white key, 1 is the black key), “pm” is the pitch change direction (0 is the increasing direction, 1 is the decreasing direction), and “f1” is the value of the variable ev1. The finger number of the specified note (the value of the data cfig in the performance data specified by that value), “f2” is the finger number of the note specified by the value of the variable ev2, and “intv” is the interval between the two notes Represents the pitch difference. Thereby, the table stores the cost (value) of fingering under the situation according to the situation indicated by the combination of each value of the data. The table is stored together with the recording medium in which the fingering generation application is stored, and is loaded together with the application.

  Since the fingering cost table as shown in FIG. 3 is used, in the present embodiment, when the usage frequency of each finger or the size of the hand is selected as a condition, the setting is performed. The content of the fingering cost table is updated according to the content. By the update, the minimum fingering data reflecting the conditions specified by the user is generated. The fingering cost obtained during the generation of fingering data is stored as the data icost. The fingering data is generated while sequentially updating the value of the data icost.

  Hereinafter, the operation of the fingering information generation apparatus 10 that generates the fingering data as described above will be described in detail with reference to various flowcharts shown in FIGS. The operation is realized by the CPU 13 reading the fingering generation application from the ROM 13 to the RAM 12 and executing it.

  FIG. 4 is a flowchart of the entire process. This is an excerpt of processing executed between starting and ending the fingering generation application and shows the flow. First, the entire process will be described in detail with reference to FIG.

  First, in step 101, initialization is performed such that initial values are assigned to various variables. In the next step 102, the medium driving device constituting the input unit 14 is made to access the recording medium attached thereto, and the performance data (FIG. 2) stored in the recording medium is read. Although detailed description is omitted, the reading is performed on performance data designated by the user by operating the input device constituting the input unit 14 or the input device connected thereto. After the performance data is stored in the RAM 12 by the reading, the process proceeds to step 103.

  In step 103, the fingering cost table shown in FIG. 3 is read from the ROM 13, loaded into the RAM 12, and prepared. In the subsequent step 104, a user-specific condition reading process is executed for allowing the user to perform setting for each condition and for loading the setting contents. As a result of the execution, various setting screens shown in FIGS. 13 to 15 are displayed on the display unit 15 to enable setting.

  In step 105 following step 104, a cost table correction process for correcting the fingering cost table is executed in accordance with the setting contents acquired by executing the reading process. In step 106, which moves to the subsequent step, a fingering generation process for generating fingering data is executed with reference to the corrected fingering cost table. After the execution, a series of processing is terminated.

The generated fingering data can be stored and displayed in a storage location designated by the user. However, a detailed description thereof will be omitted here.
As described above, the fingering cost table is modified by selecting and selecting the use frequency of each finger or the condition of hand width designation. In order to correct the table according to these conditions, the cost table correction processing shown in FIGS. 5 and 6 is executed in the cost table correction processing. Here, the subroutine processing executed in the cost table correction processing will be described in detail with reference to FIGS.

FIG. 5 is a flowchart of the cost table correction process based on the usage frequency of each finger. First, the correction process will be described in detail with reference to FIG.
There are two fingering cost tables shown in FIG. 3 for the right hand and the left hand. Therefore, in FIG. 5, the fingering cost table is expressed as “cCostTwoFinger [iRL] [ibw] [ipm] [iFf] [iFt] [iI]” as a six-dimensional array variable cCostTwoFinger (hereinafter, this Notation is also used). IRL, ibw, ipm, iFf, iFt, and iI expressed as subscripts are the keyboard type, the pitch change direction, the finger number of the current note (designated note), the finger number of the next note, This is a variable name for designating the pitch difference between these two notes. In FIG. 5, “RL”, “BLACKANDWHITE”, “PLUSMINUS”, “MAXFINGER”, and “MAXPITINTERVAL” are constants prepared as upper limit values of these variables. The set designation frequency for each finger is substituted into the corresponding element of the two-dimensional array variable iFigPriority by executing the user designated condition reading process in Step 104.

  The variables iRL, ibw, ipm, iFf, iFt, and iI are each assigned 0 as an initial value by executing step 301. In subsequent steps 302 to 315, processing for sequentially changing the processing units is performed with a plurality of elements specified by combinations of values of five variables other than the variable iT as processing units. The contents of the plurality of elements serving as the processing unit are updated by executing the processing of Steps 316 to 323 in which the determination in Step 314 is YES and shifts.

  First, in step 316, 0 is substituted for the variable iI. In the following step 317, it is determined whether or not the value of the variable iT is less than the constant MAXINTERVAL. If the relationship is satisfied, the determination is yes and the process moves to step 319. Otherwise, the determination is no, the value of variable iFt is incremented in step 318, and the process returns to step 314. Thereby, among the five variables excluding the variable iI, a plurality of elements specified by changing only the value of the variable iFt are changed to the next processing target.

  In step 319, the value of the element cCostTwoFinger [iRL] [ibw] [ipm] [iFf] [iFt] [iI] is substituted for the variable cTmp. In the next step 320, the value of the element iFigPriority [iRL] [iFf] is added to the variable cTmp (the value indicating the use frequency set for the finger indicated by the value of the variable iFt of the hand indicated by the value of the variable iRL). ) And the division result obtained by dividing the multiplication result by 100 (= cTmp · iFigPriority [iRL] [iFf] / 100) is substituted. In the next step 321, the variable cTmp is multiplied by the value of the element iFigPriority [iRL] [iFt] by the previous value and the multiplication result is divided by 100 (= cTmp · iFigPriority [iRL] [iFt ] / 100). After the substitution, in step 322, the value of the variable cTmp is substituted into cCostTwoFinger [iRL] [ibw] [ipm] [iFf] [iFt] [iI], and in step 323, the value of the variable iI is incremented. Return to step 317.

  Next, cost table correction processing by hand width designation shown in FIG. 6 will be described in detail. In FIG. 6, steps having the same contents as the correction processing shown in FIG. 5 are denoted by the same reference numerals. Accordingly, the description will be given in a form that focuses only on the portions that differ from FIG. The set hand width is substituted into the corresponding element of the one-dimensional array variable iHandWidth by executing the user-specified condition reading process in step 104.

  In FIG. 6, after executing the process of step 319, the process proceeds to step 401. In step 401, it is determined whether or not the width indicated by the value of the variable iI is larger than the value of the element iHandWidth [iRL] (the set hand width). If the magnitude relationship is satisfied, the determination is yes, and in step 402, the variable cTmp is multiplied by the value indicated by the value of the variable iI to the variable cTmp, and the result of the multiplication is represented by the value of the element iHandWidth [iRl]. After substituting the value obtained by dividing (= cTmp · iI / iHandWidth [iRl]), the process proceeds to step 322. Otherwise, the determination is no and the process moves to step 322 next. As a result, only the contents that need to be corrected are corrected from the set hand width.

FIG. 7 is a flowchart of the fingering generation process executed as step 106 in the overall process shown in FIG. Next, the generation process will be described in detail with reference to FIG.
There are five fingers that can be used to press the key to be pressed. In the whole music, if the number of keys to be pressed is N, the total number of combinations (fingering sequences) is 5 ^N. In the present embodiment, the fingering cost is checked for all combinations, and the lowest combination is extracted, thereby determining the finger to be used for pressing each key. The buffer cfgsave [] is secured in the RAM 12 so as to store the optimum combination so far.

  First, in step 501, the index value of the first performance data is substituted for the variable mef, and the index value of the performance data located at the end of the fingering data generation range is substituted for the variable meTerm. In the next step 502, the maximum value considered as the total fingering cost (accumulated value of the data icost) of the fingering data generated within the generation range is substituted into the variable CostBest. After the substitution, in step 503, the value of the variable mef is substituted for the variable me, 0 is substituted for the variable iNCnt, and 1 is substituted for the variable iLoopMax, and then the process proceeds to step 504.

  In step 504, it is determined whether the value of the variable me is different from the value of the variable meTerm. If the values match, the determination is no and the process moves to step 507. Otherwise, the determination is yes, the value of the variable iNCnt is incremented at step 505, the value of the variable iLoopmax is updated to the value obtained by multiplying the previous value by 5, and the variable me is set at the next step 506. me. Substitute the value of next. Thereafter, the process returns to step 504. Thus, when the determination in step 504 is NO and the process proceeds to step 507, the total number of combinations is substituted as a value for the variable iLoopmax.

  In step 507, 0 is substituted into the variable iLoop. In the next step 208, it is determined whether or not the value of the variable iLoop is smaller than the value of the variable iLoopmax. If all the combinations have not been confirmed, the relationship is satisfied, so the determination is YES, and after substituting 1 for the variable iDigit, 1 for the variable mef, and 0 for the variable iCnt in Step 509, Move on to step 510. Otherwise, the determination is no, the process proceeds to step 518, and the data cfig of each performance data is updated so that the combination (fingering sequence) stored in the buffer cfigsave [] is obtained. As a result, the finger having the lowest fingering cost as a whole is applied to each piece of performance data, and then the series of processes is terminated.

In the processing loop formed in steps 510 to 513, processing for setting a fingering combination determined by the value of the variable iLoop is performed.
First, in step 510, it is determined whether or not the value of the variable me is not equal to the value of the variable meTerm. If the values are equal, the determination is no, and the process proceeds to step 514, assuming that the target combination has been set. Otherwise, the determination is yes and the process moves to step 511.

  In step 511, me. As cfig, the remainder (represented as “(iLoop / iDigit)% 5” in the figure) when the division result obtained by dividing the value of the variable Iloop by the value of the variable iDigit is divided by 5 is stored. In the following step 512, a value obtained by multiplying the previous value by 5 is substituted for the variable iDigit. Thereafter, the process proceeds to step 513, the value of the variable iCnt is incremented, and the variable me. After substituting the value of next, the process returns to step 510. Thus, the target combination is set by updating the data cfig of each performance data until the determination in step 510 becomes NO.

  In step 514 where the determination in step 510 is NO and the process proceeds, fingering evaluation processing for evaluating the set combination is executed. In the next step 515, it is determined whether or not the accumulated fingering cost value assigned to the variable CostTmp by execution of the fingering evaluation process is smaller than the value of the variable CostBest. If the total fingering cost is the lowest among the combinations thus far, the relationship is satisfied, so the determination is YES, and in step 516, the data cfig is read from each performance data and stored in the buffer cfigsave []. In step 519, the value of the variable iLoop is incremented, and the process returns to step 508. Otherwise, the determination is no and the process moves to step 517.

FIG. 8 is a flowchart of the fingering evaluation process executed as step 514. Next, the evaluation process will be described in detail with reference to FIG.
First, in step 601, initialization of various variables used for fingering evaluation is performed. As a result of the initialization, 0 is substituted into the variable CostTmp. In the next step 602, an index value (pointer) for designating performance data located at the head of the music data is substituted for the variable me. In the next step 603, it is determined whether or not the fingering evaluation has been completed. The evaluation is performed while sequentially changing the performance data designated by the value of the variable me from the first one to the last one. For this reason, if there is no performance data specified by the value of the variable me, the determination is YES, and the series of processing ends here. Otherwise, the determination is no and the process moves to step 604.

  In step 604, a two-tone cost calculation process is executed to calculate the cost between the musical sound (designated sound) indicated by the performance data designated by the value of the variable me and the musical sound to be generated next. In the next step 605, a prohibited matter search for checking whether or not the fingering currently focused (fingering for generating a specified sound) corresponds to any of the prohibited conditions. Execute the process. Thereafter, the process proceeds to step 606.

  In step 606, it is determined whether or not the value of the data iNP in the performance data designated by the value of the variable me (indicated as “me.iNP” in the figure) is not zero. In the prohibited item search process, when it is found that the item corresponds to the corresponding item (prohibited condition), a value other than 0 is stored as the value. Therefore, in this case, the determination is YES, and in step 610, me. After storing the maximum cost value within the assumed range as icost, the process proceeds to step 608. Otherwise, the determination is no, the process proceeds to step 607, and a cost correction process for updating the cost for generating the designated sound according to the fingering to a more appropriate one is executed. Step 608 then proceeds.

  In step 608, the variable CostTmp is changed to me. A value obtained by adding the values of icost is substituted. In the subsequent step 609, the variable me. Substitute the value of next. Thereafter, the process returns to step 603.

  In this way, the performance data data icost is obtained, and the final value is accumulated using the variable CostTmp. Thereby, the accumulated values of fingering costs can be compared for each fingering series.

Hereinafter, various subroutine processes executed in the fingering evaluation process will be described in detail.
FIG. 9 is a flowchart of the cost calculation process between two sounds executed as step 604 described above. First, the cost calculation process will be described in detail with reference to FIG.

  In this cost calculation process, as described above, with reference to the fingering cost table shown in FIG. 3, the fingering cost for generating the two sounds in a form that focuses only on the two consecutive sounds is calculated. It has become.

  First, in step 701, the values of the variable me and me. Substitute the value of next. In the subsequent step 702, ev1. The value of cfig, ev1. The value of iPosX, the remainder of dividing the value of variable p1 by 2 (represented as “p1% 2” in the figure), and the variable f2, ev2. The value of cfig, the variable p2, ev2. iPosX value is substituted respectively. In step 703 which moves to after the substitution, it is determined whether or not the value of the variable p1 is equal to or smaller than the value of the variable p2. If the latter is larger than the former, the determination is yes, and in step 704, 0 is substituted for the variable pm, and the value obtained by subtracting the value of the variable p1 from the value of the variable p2 is substituted for the variable intv. Otherwise, the determination is no, and in step 705, 1 is substituted for the variable pm, and the value obtained by subtracting the value of the variable p2 from the value of the variable p1 is substituted for the variable intv.

  In step 706, it is determined whether or not the value of the variable intv is less than or equal to the constant MAXINTV. The constant MAXINTV is prepared in order to determine a key interval (pitch difference) considered to be extremely difficult to press a key by fingering. From this, when such a pitch difference does not exist between the two notes of interest, the determination is YES, and in step 707 ev1. As icost, values extracted from the fingering cost table (FIG. 3) by the values of the variables bw, pm, f1, f2, and intv (“CT [bw] [pm] [f1] [f2] [intv in the figure] ]] Is substituted, and the series of processing is terminated. Otherwise, the determination is no and ev1. After a constant MAXCOST is substituted as icost, a series of processing is terminated.

  The constant MAXCOST is determined as a maximum value within a range assumed as a cost, for example. In step 610 in FIG. 8, me. icost is updated.

  In the fingering cost table, the stored fingering cost is corrected according to the conditions set by the user. As a result of the correction, the accumulated value of the fingering cost that is finally assigned to the variable CostTmp changes depending on whether the condition is set or not. For this reason, it is possible to change the fingering sequence to be finally selected according to the set condition and the content thereof.

  FIG. 10 is a flowchart of the prohibited matter search process executed as step 605 in the fingering evaluation process shown in FIG. Next, the search process will be described in detail with reference to FIG.

  For example, the black key on the keyboard is more difficult to press than the other fingers because of the length and position of the thumb or little finger on the hand. The degree of difficulty (cost) of successive key presses using the same finger changes according to the time interval from key release to key press, the distance between keys to be pressed (pitch (pitch) difference), and the like. When the time interval is short and the distance between the keys is large, the key depression is impossible or extremely difficult. There are other fingerings that are impossible or extremely difficult. For this reason, in the search process, whether or not fingering assigned to the specified sound is impossible or extremely difficult is confirmed by searching whether or not the condition (prohibited matter) is satisfied. ing.

  First, in step 801, a black for detecting that fingering such as pressing a black key at a location far away from the performer with a relatively short finger such as a thumb or a little finger falls under the prohibition condition. The key finger detection process is executed. In the next step 802, when a chord is generated, a key that is higher than a key pressed by a certain finger is pressed by a finger positioned on the lower side of the finger, or vice versa. Executes a finger reversal detection process with a chord for detection as a prohibited matter. Thereafter, the process proceeds to step 803.

  In step 803, under the circumstance where a plurality of keys are pressed, a finger opening width limit detection process is performed to detect a finger assignment that cannot be simultaneously pressed as a prohibition condition. . In the subsequent step 804, polyphonic condition detection processing is executed to detect the number of key presses that cannot be simultaneously pressed as prohibition conditions. After the execution, a series of processing is terminated.

  In each of the detection processes in the above steps 801 to 4, when it is confirmed that the prohibition condition is satisfied, me. A value other than 0 is stored (updated) as iNP. Thereby, in the fingering evaluation process shown in FIG. 8, the determination in step 606 is YES, and the cost of the designated sound is updated to the maximum value.

  FIG. 11 is a flowchart of the cost correction process executed as step 607 in the fingering evaluation process shown in FIG. In the subroutine process executed (called) in the fingering evaluation process, the correction process will be described in detail with reference to FIG.

  First, in step 901, processing for substituting various values indicating the situation when a specified sound is produced according to fingering into corresponding variables is executed. By executing this process, 1 is substituted into the variable iPassF if the situation is to perform finger crossing and 2 is the situation to perform finger penetration. In the next step 902, another musical sound that is sounding at the sounding start time of the musical sound (designated sound) indicated by the performance data specified by the value of the variable me, or another musical sound that starts sounding before the sounding end time is displayed. Pay attention to execute polyphonic sound correction processing to correct the cost. In the subsequent step 903, the correction process with the finger crossing / finger puffing for correcting the cost is performed by paying attention to a relatively advanced performance method such as finger crossing or finger pricking necessary for pressing the designated sound. . In the next step 904, a correction process using a distributed chord for correcting the cost is executed by paying attention to the mutual relationship between the distributed chord and the subsequent distributed chord. Thereafter, the process proceeds to step 905.

  In step 905, attention is paid to the interrelationship between a note group followed by a single note and the following chord, and a correction process in a short to chord transition for correcting the cost is executed. In the subsequent step 906, a correction process in the chord → short note transition for correcting the cost is executed by paying attention to the mutual relationship between the chord and the subsequent note group. In the next step 907, the correction process in the chord → chord transition for correcting the cost is executed by paying attention to the mutual relationship between the chord and the following chord. In the next step 908, the forward chord correction process for correcting the cost is executed by paying attention to the mutual relationship between the chord and the chord located immediately before it. The series of processing is finished thereafter.

  In this way, in the cost correction process, for each different content, a process for correcting the cost as necessary is executed by paying attention to the content. As a result, the value of the cost (me.icost) of the designated sound before the cost correction processing is corrected according to the presence or absence of the corresponding content (reference technique for calculating the cost as described above) Examples of the literature include Japanese Patent Application No. 2004-261020 filed by the present applicant).

FIG. 12 is a flowchart of the correction process in the finger crossing / finger penetration process executed as step 903. Finally, the correction process will be described in detail with reference to FIG.
As described above, in the present embodiment, it is possible to set a special finger usage execution frequency as a condition (FIG. 15). The set value indicating the execution frequency is substituted into the variable iBias by executing the user-specified condition reading process as step 104 in the overall process shown in FIG.

  First, in step 1001, me. Substitute the value of icost. In the next step 1002, it is determined whether or not the value of the variable iPassF is not zero. If it is a situation (fingering) that should be passed over or fingered in order to generate the specified sound, 1 or 2 is assigned as the value, so the determination is YES and step 1003 follows. Transition. Otherwise, the determination is no and the series of processing ends here.

  In step 1003, 0 is assigned to each of the variables STAve and iSame. In addition, me. next. From the value of lTime, me. A value obtained by subtracting the value of lTime (a value indicating a sound generation start interval between the designated sound and the sound positioned next to it) is substituted. The variable STAve is a variable prepared for obtaining the average of the sounding start intervals between two consecutive sounds between extreme points (notes whose pitch tendency changes) before and after the specified sound. The variable iSame is the sound generation start interval of the designated sound and the next sound (the time interval indicated by the value assigned to the variable 1ST. It is a variable prepared to count the number of matches.

  In steps 1004 to 1008 following step 1003, processing for obtaining the average time of the sounding start intervals and the number of coincident sounding start intervals is performed for the range up to the previous extreme point.

  First, in step 1004, the value of the variable me is substituted for the variable mePC. In the next step 1005, mePC. From the value of lTime, mePC. prev. A value obtained by subtracting the value of lTime (a time interval between the sounding start time indicated by the performance data designated by the value of the variable mePC and the sounding start time indicated by the performance data positioned before the time data) is substituted. After the substitution, the process proceeds to step 1006.

  In step 1006, the value of the variable STAve is updated to the value indicating the average time so far in step 1005 (this update is performed by, for example, multiplying the previous value by the number of sounding start intervals so far and multiplying the multiplication result by the variable tmpST). The variable iSame can be calculated by substituting the value obtained by dividing the addition result by the number of sounding start intervals of the current time), and the variable iSame has the value of the variable tmpST as the reference sounding start interval, that is, the variable 1ST. If it matches the value of, the value is incremented and updated. After such an update, in step 1007, mePC. After substituting the value of prev, the process proceeds to step 1008 and mePC. It is determined whether or not the value of cTendency is 0. If the performance data specified by the value of the variable mePC indicates a musical tone corresponding to the extreme point, the value of the data cTendency is 0, so the determination is YES and the process moves to step 1009. Otherwise, the determination is no and the process returns to step 1005.

  In steps 1009 to 1013, contrary to steps 1004 to 1008, processing for obtaining the average time of the sounding start intervals and the number of matching sounding start intervals is performed for the range up to the pole located behind. . Since the basic idea is the same, detailed description thereof will be omitted. When the determination in step 1013 is YES and the process proceeds to step 1014, the average time of the sounding start interval between the extreme points is substituted for the variable STAve, and the variable iSame matches the reference sounding start interval. The number of sounding start intervals to be substituted is substituted.

  In step 1014, it is determined whether or not the value of the variable iPassF is 1. As described above, the variable iPassF includes 1 in the situation where the finger crossing is to be performed by executing the process of step 901 in the cost correction process shown in FIG. Is substituted. From this, if it is a situation where the finger crossing should be performed, the determination is YES, and in step 1015, the variable f. next. After the value of cfig, that is, the finger number of the finger to be pressed by performing finger crossing is substituted, the process proceeds to step 1017. If not, the determination is no, and me. After substituting the cfig value, that is, the finger number of the finger to be used for the key press immediately before the thumb is inserted, the process proceeds to step 1017. The determination of NO means that the value of the variable iPassF is 2 because it is determined in step 1002 whether or not the value of the variable iPassF is 0.

  Difficulty differs depending on the type of finger that passes above the finger when passing over the finger, and the type of finger that passes below when passing through the finger. Therefore, in step 1017, a coefficient corresponding to the value of the variable f is substituted into the variable coef, and in the subsequent step 1018, the value of the variable coef is multiplied by the constant IPASSPRIORITY in the variable cc, and the multiplication result is set to the variable iBias. Substitute the value obtained by multiplying the value. After the substitution, the process proceeds to step 1019.

  The constant IPASSPRIORITY is determined, for example, as the maximum value of the correction value to be added to the fingering cost for performing finger passing and finger penetration. Along with the maximum value, a coefficient to be multiplied is prepared for each kind of finger, and the multiplication result is used as a correction value of the cost to be added, that is, a correction amount. Thereby, different difficulty levels can be reflected in the fingering cost depending on the kind of finger that passes above or passes below. Therefore, in the present embodiment, the set content is reflected in the fingering cost by changing the correction amount according to the execution frequency set by the user. By reflecting in this way, the accumulated value of the fingering cost that is finally substituted into the variable CostTmp changes depending on the fingering sequence. For this reason, it is possible to change the fingering sequence to be finally selected according to the set condition and the content thereof.

  In step 1019, it is determined whether or not the relationship that the value of the variable iSame is greater than 4 and the value of the variable 1ST is less than the value of the variable STAve, or the relationship that the value of the variable 1ST is greater than or equal to the value of the variable STAve is satisfied. There are five or more pronunciation start intervals that coincide with the reference pronunciation start interval between the extreme points, but either the reference pronunciation start interval is shorter than the average time or the reference pronunciation start interval is more than the average time If the former or the latter is satisfied, the determination is YES, and in step 1020, the result of adding the value of the variable iCTmp and the value of the variable cc is me. After storing as icost, a series of processing ends. Otherwise, the determination is no and the process moves to step 1021, where the constant IBS is multiplied by the variable cc, and the value obtained by adding the value of the variable iCTmp to the multiplication result is me. After storing as icost, a series of processing ends.

  The constant IBS is a value of 1 or more. By preparing a constant IBS with such a value, the player feels that the reference pronunciation start interval between the extreme points is shorter than the average time, or the finger crossing or finger penetration at a point where it is easy to feel is relatively difficult. It is considered high and the correction is made larger. As a result, the performance flow between the extreme points is reflected in the fingering cost.

  In this embodiment, the fingering cost table is modified (updated) by setting the usage frequency of each finger and the setting of the width of the hand. ) May be specified, and the setting may be reflected in a form in which the fingering cost calculated in the situation is corrected. You may make it reflect setting content by the method different from them. As the types of conditions for reflecting the setting contents, a pitch difference between two sounds, the number of times a special finger use (predetermined finger use for performance) should be performed, and the like may be employed.

It is a figure explaining the structure of the fingering information generation apparatus by this Embodiment. It is a figure explaining the structure of performance data. It is a figure explaining the structure of a fingering cost table. It is a flowchart of the whole process. It is a flowchart of the correction process of the cost table by the usage frequency of each finger. It is a flowchart of the correction process of the cost table by designation | designated of the hand width. It is a flowchart of a fingering production | generation process. It is a flowchart of a fingering evaluation process. It is a flowchart of a cost calculation process between two sounds. It is a flowchart of a prohibition matter search process. It is a flowchart of a cost correction process. It is a flowchart of the correction process by finger crossing / finger penetration. It is a figure explaining the setting screen for the usage frequency of each finger. It is a figure explaining the setting screen for hand widths. It is a figure explaining the setting screen for special finger use.

Explanation of symbols

10 fingering information generator 11 CPU
12 RAM
13 ROM
14 Input unit 15 Display unit

Claims (4)

A device for generating fingering information indicating fingering when carrying out music by operating in a group of performance operators provided on a musical instrument,
Data acquisition means for acquiring performance data indicating the timing at which the performance operator and the performance operator should be operated for each performance operator to be operated according to the progress of the music;
Information input means for inputting personal information of the user related to generation of the fingering information;
Referring to performance data acquired by the data acquisition means, fingering information generation means for generating fingering information for each performance data in consideration of personal information input by the information input means;
A fingering information generation device comprising: The information input means can input at least one of the ease of use of each finger, the size of the hand, and the frequency of performing a predetermined finger use for performance as the personal information.
The fingering information generation device according to claim 1. The fingering information generation means obtains the degree of difficulty in performing fingering when any of the ease of use of each finger and the size of the hand is input as the personal information. By generating the fingering information in consideration of the personal information by updating the contents of the table prepared in
The fingering information generating device according to claim 2, wherein A data processing device capable of realizing a fingering information generating device that generates fingering information indicating fingering when a musical piece is operated and operated in a group of performance operators provided on a musical instrument A program to be executed,
For each performance operator to be operated according to the progress of the music, a function for obtaining performance data indicating the performance operator and the timing for operating the performance operator;
A function for inputting personal information of a user related to generation of the fingering information;
A function of referring to performance data acquired by the function to be acquired and generating fingering information for each performance data in consideration of personal information input by the function for input;
A program to realize