JP6632447B2 - Fingering determination program - Google Patents

Description

  The present invention relates to a fingering determination program for determining fingering on a fingerboard based on music information for various stringed instruments such as a guitar and a bass.

  2. Description of the Related Art Conventionally, when playing a stringed instrument such as a guitar or a bass, it is well known to use a tablature configured to indicate a pressed position on a fingerboard, in addition to a musical score composed of notes. By using the tablature, even a player who does not know the note position on the fingerboard can easily perform by pressing the string pressing position displayed on the tablature. The tablature is formed not only by a person generating a tablature from a musical score, but also by automatically forming a tablature from music information using an information processing device.

  Patent Literature 1 discloses a tablature automatic creation program that minimizes the variance of finger positions and automatically creates a playable tablature by assuming actual fingering.

JP 2004-163446 A

  The automatic tablature creation program disclosed in Patent Literature 1 can form a playable tablature by assuming actual fingering while minimizing the variance of finger positions. By the way, when performing a copy of a musical composition of a string instrument such as a guitar or a bass, there is a demand for imitating the original artist of the musical composition. The original artist does not always take fingering efficiently, and sometimes decides fingering in consideration of the nuances of different sounds depending on the string and fret position. The automatic tablature creation program disclosed in Patent Literature 1 cannot form a tablature in consideration of such an original artist's habit. In addition, there are performers from beginners who have just started practicing to advanced players having many years of experience. In particular, a beginner struggles with string pressing because he cannot move his ring finger or little finger as he wishes when pressing the fingerboard. The tablature automatic creation program disclosed in Patent Literature 1 cannot consider such a characteristic related to a player's performance technique.

  The fingering determination program according to the present invention aims at determining an appropriate fingering of a stringed instrument in consideration of various performance characteristics such as a performance characteristic of an original artist and a characteristic relating to a user's performance technique.

Therefore, the fingering determination program according to the present invention is characterized by adopting the following configuration.
A reading process for reading performance information from the storage unit;
A coefficient setting process for setting a performance characteristic coefficient including a finger coefficient indicating ease of use of a finger for holding a string by a user ;
Candidate determination processing for determining one or more position candidates indicating the position of the finger on the fingerboard for one performance sound in the performance information read in the read processing;
A position load calculation process of calculating a position load for the position candidate using the performance characteristic coefficient set in the coefficient setting process for the position candidate determined in the candidate determination process;
The moving load is calculated based on the position load of the position candidate corresponding to the first performance sound and the position load of the position candidate corresponding to the second performance sound adjacent to the first performance sound. And a position determination process for determining one position candidate as a position among the position candidates for the performance sound based on the information processing device.

The fingering determining program according to the present invention,
A reading process for reading performance information from the storage unit;
Coefficient setting processing for setting performance characteristic coefficients,
Candidate determination processing for determining one or more position candidates indicating the position of the finger on the fingerboard for one performance sound in the performance information read in the read processing;
A position load calculation process of calculating a position load for the position candidate using the performance characteristic coefficient set in the coefficient setting process for the position candidate determined in the candidate determination process;
The moving load is calculated based on the position load of the position candidate corresponding to the first performance sound and the position load of the position candidate corresponding to the second performance sound adjacent to the first performance sound. And a position determination process of determining one position candidate as a position among the position candidates for the performance sound based on the information processing device.
The position determination processing includes a step of calculating a moving load for a combination of position candidates corresponding to performance sounds in a predetermined range, and finally calculating a moving load in the entire music by expanding the predetermined range,
During the process, combinations of position candidates for which the calculated moving load does not satisfy the predetermined condition are excluded from moving load calculation targets.

The fingering determining program according to the present invention,
A reading process for reading performance information from the storage unit;
Coefficient setting processing for setting performance characteristic coefficients,
Candidate determination processing for determining one or more position candidates indicating the position of the finger on the fingerboard for one performance sound in the performance information read in the read processing;
A position load calculation process of calculating a position load for the position candidate using the performance characteristic coefficient set in the coefficient setting process for the position candidate determined in the candidate determination process;
The moving load is calculated based on the position load of the position candidate corresponding to the first performance sound and the position load of the position candidate corresponding to the second performance sound adjacent to the first performance sound. And a position determination process of determining one position candidate as a position among the position candidates for the performance sound based on the information processing device.
The position determination processing includes a step of calculating a moving load for a combination of position candidates corresponding to performance sounds in a predetermined range, and finally calculating a moving load in the entire music by expanding the predetermined range,
During the process, combinations of position candidates for which the calculated moving load does not satisfy the predetermined condition are excluded from moving load calculation targets.

The fingering determining program according to the present invention,
A reading process for reading performance information from the storage unit;
Coefficient setting processing for setting performance characteristic coefficients,
Candidate determination processing for determining one or more position candidates indicating the position of the finger on the fingerboard for one performance sound in the performance information read in the read processing;
A position load calculation process of calculating a position load for the position candidate using the performance characteristic coefficient set in the coefficient setting process for the position candidate determined in the candidate determination process;
The moving load is calculated based on the position load of the position candidate corresponding to the first performance sound and the position load of the position candidate corresponding to the second performance sound adjacent to the first performance sound. And a position determination process of determining one position candidate as a position among the position candidates for the performance sound based on the information processing device.
The position determination process calculates a movement load using an arm movement coefficient when moving from a position candidate corresponding to the first performance sound to a position candidate corresponding to the second performance sound,
The arm movement coefficient is a value based on the difference between the fret number in the position candidate corresponding to the first performance sound and the fret number in the position candidate corresponding to the performance sound of the second sound.

The fingering determining program according to the present invention,
A reading process for reading performance information from the storage unit;
Coefficient setting processing for setting performance characteristic coefficients,
Candidate determination processing for determining one or more position candidates indicating the position of the finger on the fingerboard for one performance sound in the performance information read in the read processing;
A position load calculation process of calculating a position load for the position candidate using the performance characteristic coefficient set in the coefficient setting process for the position candidate determined in the candidate determination process;
The moving load is calculated based on the position load of the position candidate corresponding to the first performance sound and the position load of the position candidate corresponding to the second performance sound adjacent to the first performance sound. And a position determination process of determining one position candidate as a position among the position candidates for the performance sound based on the information processing device.
The position determination processing calculates a movement load using a string movement coefficient when moving from a position candidate corresponding to the first performance sound to a position candidate corresponding to the second performance sound,
The string movement coefficient is a value based on a difference between a string number in the position candidate corresponding to the first performance sound and a string number in the position candidate corresponding to the second performance sound.

Further, the fingering determination program according to the present invention includes:
The information processing device is configured to execute an output process of outputting tablature information based on the position determined in the position determination process.

  According to the fingering determination program according to the present invention, fingering or fingering that mimics the habit of the original artist by using a performance characteristic coefficient such as a fret use frequency coefficient is not merely an efficient fingering. Alternatively, it is possible to determine a fingering suitable for a user who has difficulty moving a specific finger such as a beginner.

Block diagram showing a fingering determination system of the present embodiment FIG. 3 is a diagram illustrating a data configuration of music information and setting information according to the present embodiment. Diagram for explaining finger number of left hand Diagram for explaining the fingerboard of a stringed instrument (guitar) FIG. 4 is a diagram illustrating data examples of a finger coefficient, a fret use frequency coefficient, and an off-string fret coefficient according to the present embodiment. Flow chart showing position candidate determination processing of the present embodiment Flow chart showing position candidate search processing of the present embodiment Flow chart showing finger number assignment processing of the present embodiment Diagram for explaining the outline of position determination processing Flow chart showing position determination processing of the present embodiment Diagram for explaining calculation of position movement load Diagram showing output example using conventional program Diagram showing an output example (when all coefficients are not applied) using the program of the present embodiment FIG. 6 is a diagram illustrating an output example (when a fret interval coefficient and a left arm movement coefficient are applied) using the program of the present embodiment. FIG. 14 is a diagram illustrating an output example using the program according to the present embodiment (FIG. 14 + when the same fret coefficient is applied). FIG. 15 is a diagram showing an example of output using the program according to the present embodiment (FIG. 15 + when the fret use frequency coefficient is applied). FIG. 16 is a diagram illustrating an example of output using the program according to the present embodiment (FIG. 16 + string movement coefficient is applied). FIG. 17 is a diagram illustrating an output example using the program according to the present embodiment (FIG. 17 + when a finger coefficient with a reduced small finger appearance rate is applied).

  FIG. 1 is a block diagram illustrating a fingering determination system according to the present embodiment. The fingering determination system according to the present embodiment includes various information processing apparatuses 1 such as a personal computer. The information processing apparatus 1 is connected to a storage unit 2 for storing various information, and a printer 3 for printing and outputting information formed by the information processing apparatus 1. The fingering determination program according to the present invention is a program that operates in the information processing device 1. The fingering determination program uses various information stored in the storage unit 2 to output tablature information defining fingering on a fingerboard of various stringed instruments such as a guitar and a bass. In the present embodiment, music information and setting information corresponding to the music information are required. Also, instead of the music information, it is also possible to use audio information obtained by recording a performance. When voice information is used, conversion to music information is performed by executing a pitch extraction process (S001) from voice information in the fingering determination program.

  FIG. 2 is a diagram illustrating a data configuration of music information and setting information according to the present embodiment. As shown in FIG. 2A, the music information includes music ID, attribute information including an artist ID, and performance information. As the performance information, MIDI information or the like according to the MIDI standard can be adopted, and substantially corresponds to information that defines a musical score. The fingering determination program according to the present embodiment forms tablature information defining fingering of a stringed instrument from performance information corresponding to the musical score. A program for forming tablature information from such performance information has existed before. The fingering determination program of this embodiment is different in that tablature information is formed using setting information that defines various performance characteristics.

  FIG. 2B shows a data configuration of setting information used when the fingering determination program forms tablature information. In the present embodiment, any one of the music setting information shown in FIG. 2B1 and the artist setting information shown in FIG. 2B2 is used. The music setting information is associated with the music information by a music ID. The music setting information is information that defines the performance characteristics of the music, the characteristics of the musical instrument used, and the like. Artist setting information is associated with music information by an artist ID. Like the music setting information, the artist setting information is information defining the performance characteristics of the music, the characteristics of the musical instrument used, and the like. Even the same artist may have different performance characteristics or use different stringed instruments depending on the music. In the present embodiment, management is performed using music setting information and artist setting information, and when processing is performed on certain music information, when there is music setting information, the music information is preferentially used. , It is possible to make settings for each song individually. If no music setting information exists, the artist setting information is used.

  In the music setting information and the artist setting information, tuning information, finger coefficient, fret use frequency coefficient, different string fret coefficient, number of strings, number of frets, fret spacing coefficient, string spacing coefficient, and string load coefficient are defined. . The tuning information is information that defines the tuning of the string instrument to be used (the pitch of each open string). By using the tuning information, it is possible to cope with irregular tuning as well as general tuning. The finger coefficient, fret use frequency coefficient, and out-of-string fret coefficient relate to the characteristics of a user who performs using the tablature information generated by the fingering determination program or the characteristics of the original artist (referred to as “performance characteristics”). Information. The finger coefficient is information indicating the ease of use of a finger for holding down a string by a user. The fret use frequency coefficient is information that defines the use frequency of the string pressing position (the point where the string and the fret intersect) on the fingerboard. The out-of-string fret coefficient is a coefficient used when moving a finger that presses a string with a change in performance sound and moving the string with the same finger in the same fret. This is a coefficient set for the case. It can be said that the same fret coefficient assigns a weight to each finger with respect to a string movement coefficient described later.

  FIG. 3 shows finger numbers assigned to the left hand. In the case of a right-handed user, the string of the stringed instrument is pressed with the left hand (string pressing). The little finger and ring finger are known as hard-to-move fingers. In the present embodiment, in consideration of such circumstances, it is possible to consider the performance characteristics of the user who uses the tablature information. FIG. 5A shows an example of finger coefficient data. A coefficient is assigned to each finger to be pressed. The finger coefficient of the present embodiment is based on “1.00”, and as this coefficient increases, the appearance rate of the corresponding finger in the tablature information to be formed decreases. For example, by setting the coefficient of a finger that is difficult to move to a large value, the appearance rate in tablature information can be reduced, and even a beginner can easily play. In addition to such usage, it is also possible to imitate the quirks of the original artist of the music. For example, when the original artist plays using the thumb positively, the tablature information reflecting the habit of the original artist is formed by setting the coefficient of the thumb smaller than the coefficient of the other fingers. It is possible.

  FIG. 4 is a diagram illustrating a fingerboard of a stringed instrument (guitar). A fret is provided on the fingerboard, and intersects with a string attached to a stringed instrument. By pressing strings at various positions on the fingerboard, it is possible to play pitches A to G. The tuning shown in FIG. 4 is a standard tuning for a guitar, and the strings are thicker as the numerical value of the string number is larger. Although the number of fret numbers up to 13 is shown, more fret numbers can be provided in practice.

  When a stringed musical instrument is used, the user plays by pressing a string on the fingerboard shown in FIG. 4. In a stringed musical instrument, a plurality of sounds having the same pitch exist on the fingerboard. Also, since the nuances of the sound differ depending on the position where the string is pressed, the string pressing position that is preferably used may differ depending on the artist. In addition, the same artist may use different string pressing positions depending on the atmosphere of the music. The fret use frequency coefficient of the present embodiment takes such circumstances into consideration, and the use frequency of each string pressing position is specified by a numerical value. FIG. 5B shows an example of data of the fret use frequency coefficient. The fret use frequency coefficient of the present embodiment is based on “1.00”, and the higher the coefficient is, the lower the occurrence rate of the pressed string position is in the tablature information to be formed. In FIG. 5B, for the string pressing position defined by the fret number and the string number, “1.00” is white, “1.05 to 1.30” is light brown, and “1.35 or more”. Is shown in dark brown. When tablature information is formed by using such a fret use frequency coefficient, the appearance frequency becomes lower as the string is pressed deeper, and another string pressed position having the same pitch as that of the pressed string is used (substituted). Will be. FIG. 5C shows an example of data of the same fret coefficient. The same string fret coefficient of the present embodiment is based on “1.00” when an open string is used, and when a finger is moved on the same fret, a larger value is set for a finger that is more difficult to use. The finger coefficient, fret use frequency coefficient, and odd string fret coefficient described above correspond to the “performance characteristic coefficient” in the present invention, and the user uses the setting information (music setting information or artist setting information). Can be set arbitrarily. Alternatively, the user can arbitrarily set using various input means such as a keyboard and a mouse provided in the information processing apparatus 1.

  In the setting information, the number of strings, the number of frets, the fret interval coefficient, the string interval coefficient, and the string load coefficient are information indicating the characteristics (instrument characteristics) of the stringed musical instrument used by the user. The number of strings is the number of strings provided in the stringed instrument to be used. The number of frets is the number of frets provided on the string instrument to be used. The fret interval coefficient has a value corresponding to the fret interval of the string instrument to be used. It is conceivable that the greater the interval between frets in a stringed musical instrument, the more difficult it is to play, for example, the longer the finger must be extended and pressed. In the present embodiment, the greater the fret interval, the larger the fret interval coefficient. The string spacing coefficient is a value corresponding to the spacing between adjacent strings of the stringed instrument to be used. It is conceivable that a stringed instrument with a larger string interval becomes more difficult to play, such as a valley chord becoming more difficult. In this embodiment, the larger the string interval, the larger the string interval coefficient. The string load coefficient is a value set according to the string used. In some cases, the same string has different characteristics such as thickness. In the present embodiment, a string load coefficient corresponding to a used string is set in consideration of such circumstances. For example, a thick string requires a greater force to press a string than a thin string. Therefore, in this embodiment, the larger the string, the larger the string load coefficient.

  The fingering determination program according to the present embodiment forms tablature information defining fingering of a stringed instrument on a fingerboard based on music information and setting information. Therefore, the fingering determination program executes a position candidate determination process (S100), a position determination process (S200), and a tablature output process (S300) as shown in FIG. Hereinafter, details of the position candidate determination processing (S100) and the position determination processing (S200) will be described.

  FIG. 6 is a flowchart showing the position candidate determination processing (S200) of the present embodiment. In the position candidate determination processing, first, the music information stored in the storage unit 2 is read (S101). Then, first, a music setting file corresponding to the music information is searched by referring to the music ID in the music information (S102). If there is music setting information (S102: Yes), the music setting information is read (S103). On the other hand, when there is no music setting information (S102: No), the artist ID in the music information is referred to and the artist setting information corresponding to the music information is searched (S104). If there is artist setting information (S104: Yes), the artist setting information is read (S105). As described above, in the present embodiment, the music setting information is read with priority, so that the setting for each music piece can be prioritized over the setting for the artist. If there is no artist setting information (S104: No), the minimum necessary tuning information for forming the tablature information is determined using the highest note, the lowest note, etc. used in the performance information. It is estimated (S106). In this case, standard settings are used for other settings. Instead of such a mode, an error may be output, or the user may be prompted to set setting information.

  In the present embodiment, various coefficients are set by reading the setting information, and the user can set various coefficients by rewriting the setting information. Instead of reading such setting information, a user interface capable of setting each coefficient may be used when creating tablature information.

  Next, in the setting information (song setting information or artist setting information), a tuning arrangement in which pitches are arranged with respect to the pressed strings on the fingerboard as shown in FIG. Is generated (S107). In the performance information, for a performance sound to be performed at a certain timing (may be a single tone or a chord), a finger pressing position candidate and a finger number are assigned to the string pressing position candidate to determine a position candidate. In the present embodiment, position candidates are determined for each performance sound in measure units of performance information. First, the bar number N is initialized (S108), and the performance sound included in the first bar is extracted (S109). Then, the performance sound number M is initialized (S110), and the first performance sound in the first measure is extracted (S111). Then, for the extracted performance sound, a finger pressing position candidate search process (S130) for searching for a string pressing position candidate, a finger for assigning a finger number to the string pressing position candidate searched for in the string pressing position candidate search process and determining a position candidate. A number assignment process (S150) is executed. By repeatedly executing S111 to S114, position candidates are determined for all performance sounds in the Mth measure. Also, by repeatedly executing S109 to S116, position candidates are determined for all the performance sounds in the performance information.

  FIG. 7 is a flowchart showing the string pressing position candidate search processing (S130) of the present embodiment. The performance sound may be a single sound or a chord. Here, the case of a single sound will be described. First, the number of strings to be used set in the setting information is set, and the string having the largest string number is set as a search target string (S131). In the present embodiment, in the fingerboard shown in FIG. 4, string pressing position candidates are performed in order from the string with the largest string number. Then, for the search target string, a search is made for a pressed string position corresponding to the performance sound from the 0th fret to the maximum fret (the number of frets in the setting information) (S132). If it matches the performance sound to be searched in the search process (S133: match), the string number and the fret number are stored as string pressing position candidates (S134), the string number is reduced by 1 (S136), and the search is performed. The target string is changed (S136). In addition, when it does not match the performance sound to be searched (S133: no match), the string number is reduced by 1 (S136), and the search target string is changed (S136). If the search target string has the minimum number (S135: Yes), the presence or absence of a matching portion is confirmed (S136). If there is no matching portion, that is, if no string pressing position candidate corresponding to the performance sound is found on the fingerboard (S137: Yes), the user is notified by performing error output (S138). The candidate search process (S130) ends. If one or more string pressing position candidates are found (S137: No), the string pressing position candidate search process (S130) is terminated.

  The string pressing position candidate search processing (S130) in the case where the performance sound is a single sound has been described above. However, in the case where the performance sound is a chord, the same processing is performed for each single sound constituting the chord, thereby forming the chord. For each note to be played is searched for a string pressing position candidate. Then, by combining the string pressing position candidates of each single sound, the string pressing position candidate for the chord is determined.

  FIG. 8 is a flowchart showing the finger number assignment processing (S150) of the present embodiment. In the finger number assigning process (S150), a position candidate is determined by assigning a finger number to the string pressing position candidate searched for in the string pressing position candidate search process (S130). Here, the finger number assignment process (S150) in the case of a single tone will be described. First, one string pressing position candidate searched for the target performance sound is read (S151). Then, after the finger number J is initialized (S152), the finger number J is assigned to the string pressing position candidate. (S153). Next, a finger coefficient corresponding to the finger number J is obtained from the setting information (S154). Then, a fret use frequency coefficient corresponding to the string pressing position candidate is obtained from the setting information (S155). Then, the fret interval coefficient corresponding to the string pressing position candidate is obtained from the setting information (S156). Then, a string load coefficient corresponding to the string number of the string pressing position candidate is obtained from the setting information (S157). Finally, the coefficients obtained in S154 to S157 are all multiplied to calculate the position load corresponding to the position candidate (S158).

  By sequentially changing the finger number J (S160) and repeatedly executing S153 to S158 until the finger number J becomes 4 (little finger), a position candidate in which the finger number is assigned to the string pressing position candidate, and The position load on the position candidate is calculated. By repeatedly executing the processes of S151 to S160 for each string pressing position candidate searched for a performance sound, a position candidate corresponding to the string pressing position candidate searched for a certain performance sound, and the position The position load on the candidate is calculated.

  The finger number assignment process (S150) when the performance sound is a single tone has been described above. However, when the performance sound is a chord, the finger number is assigned to each single tone constituting the chord, thereby the position in the chord is changed. By determining the candidates and multiplying by the position load calculated for each single tone, the position load for the chord is calculated. The assignment of the finger number in the chord may be, for example, assigning a finger having a larger finger number in order from a string pressing position candidate having a larger fret number and a smaller string number. In that case, it is preferable to assign a finger number in consideration of special circumstances such as a sail playing technique in which a plurality of strings are pressed with one finger.

  In the position candidate determination process (S100), by executing a string pressing position candidate search process (S130) and a finger number assignment process (S150), a position candidate corresponding to each performance sound in the performance information and its position load are determined. You. In the position determination process (S200) to be executed next, an optimal combination of position candidates is determined. By the way, in the string pressing position candidate search processing (S130), a plurality of string pressing position candidates are searched for one performance sound, and in the finger number assignment processing (S150), a combination of finger numbers is added to the string pressing position candidates. This means that the number of position candidates corresponding to one performance sound may be large. While it is considered that there are a large number of position candidates corresponding to one performance sound, if a combination of position candidates is examined for the whole music, the number of combinations may become enormous. In the position determination process (S200) of the present embodiment, in consideration of such circumstances, when the moving load between the position candidates does not satisfy the predetermined condition, the combination of the position candidates is excluded, and the number of operations is reduced. To efficiently determine positions.

  FIG. 9 is a diagram for explaining the outline of the position determination process (S200). Here, for the sake of simplicity, a case in which a music piece is composed of eight performance sounds will be described. Also, the number of position candidates for each performance sound is smaller than the actual number. In the present embodiment, first, a moving load is calculated between adjacent position candidates. The moving load is a load for moving from one performance sound to the next performance sound using each position candidate and its position load, and is a value calculated using each position candidate and its position load. First, in the calculation of the first hierarchy, between the first performance sound and the second performance sound (1-1), between the third performance sound and the fourth performance sound (1-2), and between the fifth performance sound and the sixth performance sound. (1-3), the position load between the seventh performance sound and the eighth performance sound (1-4) is calculated. For example, as for (1-1) between the first performance sound and the second performance sound, a total of 12 combinations exist between the three position candidates of the first performance sound and the four position candidates of the second performance sound. I do. In the calculation of one layer, the position load is calculated for all combinations.

  Then, among the calculated position loads, combinations of position candidates that do not satisfy the predetermined condition are excluded. In the present embodiment, the higher the position load, the more difficult it is to play. Therefore, when the combinations are arranged in ascending order of the position load, the combinations of the position candidates are excluded from the candidates for the position determination using the condition that the positions are not within a predetermined order (or a predetermined percentage of the whole). Then, the position load is calculated for the combination of two layers, that is, the combination of the first performance sound to the fourth performance sound (2-1) and the fifth performance sound to the eighth performance sound (2-2). For example, between the first performance sound and the fourth performance sound (2-1), in the calculation of the first hierarchy, between the first performance sound and the second performance sound (1-1), and the third performance sound and the fourth performance sound. Since the movement load between the performance sounds (1-1) has already been calculated, it can be calculated by adding the movement load between the second performance sound and the third performance sound. In the calculation of the second hierarchy, the amount of calculation is reduced by not calculating the moving load for the combinations excluded in the calculation of the first hierarchy.

  Also in the calculation of the second hierarchy, combinations of position candidates that do not satisfy the predetermined condition are excluded. Finally, the movement load is calculated for the combination of the first to eighth performance sounds (3) that constitute the entire music. In the third hierarchy, the movement load of the fourth performance sound and the fifth performance sound is newly calculated by using the calculation results of the first hierarchy and the second hierarchy, so that the movement load can be calculated for each combination of the position candidates. . The combination of the position candidates with the smallest moving load of the whole music is determined as the position to be used for the tablature information.

  The simple example shown in FIG. 9 has been described above, but the actual position determination processing (S200) will be described with reference to the flowchart of FIG. First, position candidates of a performance sound in a predetermined range to be obtained are acquired (S201). In the case of the simple example of FIG. 9, the first performance sound and the second performance sound correspond to this. Then, a combination between position candidates is extracted (S202). Then, a movement load is calculated for the extracted combination of position candidates (S203).

FIG. 11 is a diagram for explaining calculation of the position movement load. Since the performance sound may be a single tone or a chord, there are three types of (a) between single tones, (b) between chords, and (c) between single tones. FIG. 11A shows an example in which the position between single notes is moved, in which the fourth string and the 9th fret are pressed with the finger number 3 (ring finger), and the second string 5th fret is pressed with the finger number 1 (index finger). This is an example in which the position is moved to a state in which the user is performing the operation. In the present embodiment, the moving load is obtained using the following equation (1).
Moving load = P1 × A × B × C × D × P2 (1)
If the arm movement coefficient is 0 and the string movement coefficient is other than 0,
Moving load = P1 × A × B × C × D × E × P2 (1)
However,
P1: Position load (source)
P2: Position load (moving destination)
A: Arm movement coefficient B: String movement coefficient C: Sound value coefficient D: BPM coefficient E: Different fret coefficient

Here, the position load P1 is the position load at the movement source (four strings, nine frets in the example of FIG. 11A), and the position load P2 is the movement load (the second string in the example of FIG. 11A). 5 fret). The arm movement coefficient A is a coefficient relating to the movement of the pressed string position, and is obtained by the following formula (1-1).
Arm movement coefficient A = | (F2−F1) − (Y2−Y1) | (1-1)
However,
F1: Source fret number F2: Destination fret number Y1: Source finger number Y2: Destination finger number

  For example, in the example of FIG. 11A, the arm movement coefficient A is calculated as | (5-9) − (1-3) | = 2.

The string movement coefficient is a coefficient relating to the movement of the finger that presses the string, and is obtained by the following equation (1-2).
String movement coefficient B = | G2-G1 |
However,
G1: Source string number G2: Destination string number

  For example, in the example of FIG. 11A, the chord moving coefficient B is calculated as | 2-4 | = 2. The sound value coefficient is a value corresponding to the note length of the performance sound of the movement source. The same string fret coefficient is a coefficient used when moving a finger that presses a string in response to a change in performance sound and moving the string with the same finger in the same fret. Is a coefficient set for. It can be said that the same fret coefficient assigns a weight to the string movement coefficient for each finger. In addition, BPM is a value corresponding to the tempo (Beat Per Minute) in the performance sound of the movement source. The sound value coefficient and the BPM can be obtained from the performance information.

  FIG. 11B shows an example when the position between chords is moved. When moving from a chord to a chord, a moving load using the calculation formula (1) is calculated for each finger, and the moving load calculated for each finger is multiplied to calculate the moving load for the chord. However, since the calculation is performed for each finger, the term of finger movement (Y2-Y1) is not used in the calculation formula (1-1). When the source or destination fret is the zeroth fret, the values of the coefficients A, B, C, and D are fixed (for example, “1”) in equation (1). If there is no finger common to the chord of the movement source and the chord of the movement destination, a virtual string pressing position is set based on the string pressing position of another finger. For example, in the example of FIG. 11B, the string pressing position of the middle finger (finger number 2) that is not at the destination is determined by the four strings 8 based on the positions of the ring finger (finger number 3) and the little finger (finger number 4) of the destination. Set to fret. Therefore, for the middle finger, the arm movement coefficient A is calculated as | 8-3 | = 5.

  FIG. 11C shows an example when the position is shifted from a chord to a single note. As in the case between the chords, the movement load between the positions is calculated by multiplying the movement load calculated for each. As in the calculation between chords, the term of finger movement (Y2-Y1) is not used in the calculation formula (1-1). Further, when the fret on the single tone side is the 0th fret, the finger moves only to press or release, and there is room for the movement. Therefore, in the calculation formula (1), each coefficient A, B, C, The value of D is fixed (for example, “1”). When there is no common finger between the chord side and the single note, a virtual string pressing position is set based on the string pressing position of another finger.

  The moving load between each position candidate is calculated by the above calculation method (S204). For a predetermined range of performance sounds, the movement load of a combination of target position candidates (for example, 3 × 4 = 12 combinations in the case of (1-1) between the first performance sound and the second performance sound) is calculated. If completed (S204: Yes), a combination of excluded position candidates is determined based on the calculated moving load (S205). It is conceivable that the combinations to be excluded must be equal to or less than a predetermined rank (or a predetermined percentage of the whole) when the combinations are arranged in ascending order of the position load as described above. In addition, the condition that the position load is larger than the threshold may be used as a condition. The combinations of position candidates that have been excluded from the target are expanded from the predetermined range and are excluded again from the calculation of the moving load including the range (S204).

  Then, it is determined whether or not all the predetermined ranges have been completed during the music (S206). This corresponds to the determination as to whether or not the calculation in the same hierarchy described with reference to FIG. 9 has been completed. For example, regarding the calculation of the first hierarchy, the first performance sound and the second performance sound (1-1), the third performance sound and the fourth performance sound (1-2), the fifth performance sound and the sixth performance sound are calculated. For the interval (1-3), between the seventh performance sound and the eighth performance sound (1-4), it corresponds to whether the calculation is completed, and for the second hierarchy, the first performance sound to the fourth performance sound ( 2-1), which corresponds to whether the calculation of the eighth performance sound from the fifth performance sound is completed. If the calculation of all the predetermined ranges in the music has not been completed (S206: No), the range is changed to a different predetermined range in the same layer (S207), and the calculation of the predetermined range is performed. On the other hand, when the calculation of all the predetermined ranges in the music is completed (S206: Yes), the calculation is performed by expanding the predetermined range, that is, changing the hierarchy (S209). For example, when the calculation of the first hierarchy (1-1 to 1-4) is completed, the calculation of the second hierarchy is started. When the calculation of the second layer (2-1, 2-2) is completed, the calculation of the third layer of the whole music is started. Then, when the calculation for setting the entire music as a predetermined range is completed (S208: Yes), a combination of position candidates with the smallest moving load is selected from the combination of position candidates in the entire music and used for tablature information. The position is determined (S210).

  As described above, in the position determination process, in the process of expanding the predetermined range, by excluding from the target the combinations of position candidates that do not satisfy the conditions, it is possible to suppress the number of position candidate combinations from becoming enormous, The calculation amount is reduced. As in the present embodiment, the predetermined range of the position candidates is set to an initial predetermined range (first hierarchy) between adjacent performance sounds in the entire music, and the combination is expanded. In addition to such a form, for example, a form in which the combination of performance sounds is sequentially enlarged from the beginning of the music piece can be considered. The present embodiment is superior to such a form in that the best combination of position candidates is determined in a well-balanced manner throughout the music.

  The position candidates determined in the position determination process (S200) are stored as tablature information in the storage unit 2 or printed out to the printer 3 in the tablature output process (S300).

  The tablature information related to the fingering determination program according to the present embodiment will be described with an example. FIG. 12 is a diagram showing an output example of tablature information using a conventional program. Note that this conventional program does not have a function of assigning a finger number. In this conventional program, the string pressing position is assigned to a low fret number having a wide fret interval, which is inappropriate for a player who plays at a high fret position, for example. In addition, string movement and movement with one string are often performed, and fingering is inefficient. Also, fingering of the last chord in the score is not appropriate.

  FIGS. 13 to 18 show examples of output of tablature information using the program according to the present embodiment, in which coefficients to be used are made closer to those in the embodiment. First, FIG. 13 shows an example of output of tablature information when all coefficients are not applied. In the first measure, the movement within the string having the larger string number (sixth string) is high. In the third measure, movement across the strings is large, and fingering is inefficient. Further, as described in the string pressing position candidate search processing, since the strings are assigned starting from the string with the largest string number (low string), the low string and high fret are assigned as a whole, so that the playability is low. In addition, all the pressed strings have the finger number 1 (the index finger).

  FIG. 14 is an output example of tablature information when the fret interval coefficient and the arm movement coefficient are applied to FIG. Although there is no movement within one string as compared with FIG. 13, the performance efficiency is improved, but the same fret movement between the different strings with the little finger occurs at the second measure (dashed line frame A), and In the measure, movement across the strings occurs (broken line frame B), and fingering is inefficient.

  FIG. 15 is an output example of tablature information when the same fret coefficient is applied to FIG. 14. By applying the same fret coefficient to the same string, the movement of the same fret between the different strings with the little finger described in FIG. 14 (broken line frame C) is eliminated. Further, since the third bar, the position has shifted to the high fret of the low-pitched string which is difficult to hold, and the movement across the strings (broken line frame D) continues to occur as in the case of FIG.

  FIG. 16 is an example of tablature output when the fret use frequency coefficient is applied to FIG. By applying the fret use frequency coefficient, the transition of the low string that is difficult to hold down to the high fret position is eliminated. In addition, the movement (dashed line frame E) of straddling the string of the third measure continues to occur. In addition, the movement distance (dashed line frame F) between the third measure and the fourth measure is large.

  FIG. 17 is an example of tablature output when a string movement coefficient is applied to FIG. The movement across the strings that occurred before FIG. 16 has been eliminated. In addition, the movement distance between the third measure and the fourth measure is also in a natural form, and it is efficient tablature information as a whole.

  FIG. 18 is an output example of tablature information when a finger coefficient with a reduced appearance rate of the little finger is applied to FIG. In the tablature information, the appearance rate of the little finger (finger number 4) is reduced at the portions surrounded by the dashed frames G and H as compared with the case of FIG. Such tablature information is a fingering with a small burden, and is in a form suitable for beginners.

  The fingering determination program according to the present invention has been described above. However, the fingering determination program according to the present invention uses a finger coefficient or a performance characteristic coefficient such as a fret use frequency coefficient to provide a simple and efficient fingering. Instead, it is possible to determine a fingering that mimics the habit of the original artist, or a fingering suitable for a user who has difficulty moving a specific finger such as a beginner.

1: Information processing device 2: Storage unit 3: Printer

Claims (6)

A reading process for reading performance information from the storage unit;
A coefficient setting process for setting a performance characteristic coefficient including a finger coefficient indicating ease of use of a finger for holding a string by a user ;
Candidate determination processing for determining one or more position candidates indicating the position of the finger on the fingerboard for one performance sound in the performance information read in the read processing;
A position load calculation process of calculating a position load for the position candidate using the performance characteristic coefficient set in the coefficient setting process for the position candidate determined in the candidate determination process;
The moving load is calculated based on the position load of the position candidate corresponding to the first performance sound and the position load of the position candidate corresponding to the second performance sound adjacent to the first performance sound. A fingering determination program for causing an information processing device to execute a position determination process of determining one position candidate among the position candidates for a performance sound as a position based on the information. A reading process for reading performance information from the storage unit;
A coefficient setting process for setting a performance characteristic coefficient including a fret use frequency coefficient indicating a use frequency of the fret;
Candidate determination processing for determining one or more position candidates indicating the position of the finger on the fingerboard for one performance sound in the performance information read in the read processing;
A position load calculation process of calculating a position load for the position candidate using the performance characteristic coefficient set in the coefficient setting process for the position candidate determined in the candidate determination process;
The moving load is calculated based on the position load of the position candidate corresponding to the first performance sound and the position load of the position candidate corresponding to the second performance sound adjacent to the first performance sound. And a position determination process of determining one position candidate among the position candidates for the performance sound as the position based on the position information.
Fingering determination program. A reading process for reading performance information from the storage unit;
Coefficient setting processing for setting performance characteristic coefficients,
Candidate determination processing for determining one or more position candidates indicating the position of the finger on the fingerboard for one performance sound in the performance information read in the read processing;
A position load calculation process of calculating a position load for the position candidate using the performance characteristic coefficient set in the coefficient setting process for the position candidate determined in the candidate determination process;
The moving load is calculated based on the position load of the position candidate corresponding to the first performance sound and the position load of the position candidate corresponding to the second performance sound adjacent to the first performance sound. And a position determination process of determining one position candidate as a position among the position candidates for the performance sound based on the information processing device.
The position determination processing includes a step of calculating a moving load for a combination of position candidates corresponding to performance sounds in a predetermined range, and finally calculating a moving load in the entire music by expanding the predetermined range,
In the process, a combination of position candidates whose calculated moving load does not satisfy a predetermined condition is excluded from a target of the moving load calculation.
Fingering determination program. A reading process for reading performance information from the storage unit;
Coefficient setting processing for setting performance characteristic coefficients,
Candidate determination processing for determining one or more position candidates indicating the position of the finger on the fingerboard for one performance sound in the performance information read in the read processing;
A position load calculation process of calculating a position load for the position candidate using the performance characteristic coefficient set in the coefficient setting process for the position candidate determined in the candidate determination process;
The moving load is calculated based on the position load of the position candidate corresponding to the first performance sound and the position load of the position candidate corresponding to the second performance sound adjacent to the first performance sound. And a position determination process of determining one position candidate as a position among the position candidates for the performance sound based on the information processing device.
The position determination process calculates a movement load using an arm movement coefficient when moving from a position candidate corresponding to the first performance sound to a position candidate corresponding to the second performance sound,
The arm movement coefficient is a value based on a difference between a fret number in the position candidate corresponding to the first performance sound and a fret number in the position candidate corresponding to the performance sound of the second performance sound.
Fingering determination program. A reading process for reading performance information from the storage unit;
Coefficient setting processing for setting performance characteristic coefficients,
Candidate determination processing for determining one or more position candidates indicating the position of the finger on the fingerboard for one performance sound in the performance information read in the read processing;
A position load calculation process of calculating a position load for the position candidate using the performance characteristic coefficient set in the coefficient setting process for the position candidate determined in the candidate determination process;
The moving load is calculated based on the position load of the position candidate corresponding to the first performance sound and the position load of the position candidate corresponding to the second performance sound adjacent to the first performance sound. And a position determination process of determining one position candidate as a position among the position candidates for the performance sound based on the information processing device.
The position determination processing calculates a movement load using a string movement coefficient when moving from a position candidate corresponding to the first performance sound to a position candidate corresponding to the second performance sound,
The string movement coefficient is a value based on a difference between a string number in a position candidate corresponding to the first performance sound and a string number in the position candidate corresponding to the second performance sound.
Fingering determination program. The fingering determination program according to any one of claims 1 to 5 , wherein the information processing device is caused to execute an output process of outputting tablature information based on the position determined in the position determination process. .