JP2008242131A - Capability evaluation system and capability evaluation program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To evaluate, on the basis of performance data of a performer, various capability types of the performer. <P>SOLUTION: A performance evaluation system 10 comprises: a performance data creating section 15 which creates, on the basis of the input of the performer, a performance data file 22 storing record of each note having pitches and sound production start time of the input musical sounds and stores the performance data file 23 in a storage device; and a correct answer rate calculation/evaluation processing section 17 which calculates, on the basis of the performance data in the performance data file 23 and question setting data in a question data file 21, the correct answer rate for each correct answer rate class and calculates, on the basis of the correct answer rate for each correct answer rate class and the coefficients in an evaluation coefficient table 24 storing weight for each prescribed capability class for each correct answer rate class, the evaluation value for each capability. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to an ability evaluation system and an ability evaluation program for evaluating ability based on performance by a player.

  Conventionally, for the purpose of improving the performance level of a performer, a function (navigation function) that indicates a key to be operated next by LED light or the like is well known. As keyboard instruments having a navigating function, a keyboard instrument body in which an LED is arranged above each key, or an LED is arranged inside each key to cause the key itself to emit light has been proposed. By using this technique, the performer can learn the keyboard instrument by himself.

In addition, in order to indicate the key to be pressed and the time to be pressed, the time to be pressed for each key is displayed above the keyboard image displayed on the screen of the display device with the vertical direction as the time axis. A technique is disclosed that is represented by a bar extending in the vertical direction, and that the bar is moved downward toward the keyboard image as time progresses (Patent Document 1). According to this technique, when the lower end of the bar touches the upper end of the key in the image, the player presses the key and keeps pressing the key until the bar passes. Can be taught.
Japanese Patent No. 3120732 JP-A-5-303326 Japanese Patent Laid-Open No. 5-313562

  In addition to a device having a function for guiding a player's performance, a device for evaluating a performance result of the player has also been proposed.

  For example, Patent Document 2 compares the pitch and pitch of notes constituting music data with the pitch and pitch of notes constituting performance data based on a player's key pressing operation. There is disclosed a performance evaluation device that detects a mismatch between the keys and counts the mistakes of pressing the white key and the black key and evaluating the key pressing operation for each of the white key and the black key.

  Patent Document 2 also counts discrepancies between these based on the pitch and generation timing of notes constituting musical tone data and the pitch and generation timing of notes constituting musical performance data. A performance evaluation device is disclosed that evaluates the performance level of a performer based on the count value.

  Also in Patent Document 1, a guide based on music data is displayed, and note information of music data and information on notes of performance data are compared to determine whether or not the key is pressed.

  As described above, in the conventional apparatus, the performer is guided so that the performer can perform in the same manner as the music based on the music data corresponding to the model performance, and the notes of the musical sound data and the performance data are The main objective is to evaluate how close the model performance is to the performance of the discrepancy with the notes.

  The present invention provides an ability evaluation system and an ability evaluation program for evaluating various kinds of ability of a performer based not only on whether or not a performance similar to music data has been performed but also based on the performance data by the performer. With the goal.

An object of the present invention is a record of notes constituting question data to be presented to a performer, each of which stores a record having at least a note pitch and a pronunciation start time, and question data And a storage device storing an evaluation coefficient table storing weights for each predetermined ability type for each predetermined accuracy rate type obtained by comparing performance data based on the player's input,
A sound generation means for sounding a musical sound based on the record of the question data stored in the question data file, and for generating a musical sound of the input pitch based on a player's input,
Performance data generating means for generating a performance data file storing each record of notes having the pitch of the input musical tone and the sounding start time based on the player's input, and storing the performance data file in the storage device;
Correct rate calculation means for calculating a correct rate for each correct rate type based on the performance data in the performance data file and the question data;
Achieved by an ability evaluation system comprising: an evaluation value calculating means for calculating an evaluation value for each ability based on a correct answer rate for each correct answer type and a coefficient in the evaluation coefficient table Is done.

  In a preferred embodiment, the correct answer rate calculation means compares the pronunciation start time in the record of the question data with the pronunciation start time in the record of the performance data as the correct answer rate type, And / or the pitch in the record of the question data is compared with the pitch in the record of the performance data to calculate the correct rate of the pitch.

In another preferred embodiment, the record of the question data file and the record of the performance data file have a note length and / or intensity,
The correct answer rate calculation means, as the correct answer rate type, based on the pronunciation start time and sound length in the record of the question data and the sound start time and sound length in the record of the performance data, The correctness rate of the strength is calculated by comparing the rate and / or the strength in the record of the question data with the strength in the record of the performance data.

In another preferred embodiment, the evaluation value calculating means is
The accuracy rate Val [t] (where t is a parameter indicating the accuracy rate type) and the coefficient R [t] [m] in the evaluation coefficient table (where t is a parameter indicating the accuracy rate type, and m is the capability type) The evaluation value G [m] is expressed as G [m] = Σ (R [t] [m] × Val [t])
Calculate according to

In a more preferred embodiment, the storage device stores an application data file storing a record of question data for each question mode according to the ability type, and a weight for each of the evaluation values for each question mode. Storing the second evaluation coefficient table,
The evaluation value calculation means includes the question mode, the evaluation value G [m] (m is a parameter indicating the ability type), and the coefficient RR [type] [m] (type is the question mode in the second evaluation coefficient table). The evaluation value GR [m] modified based on the parameter indicating m and the parameter indicating the capability type),
GR [m] = RR [type] [m] × G [m]
Calculate according to

Further, the object of the present invention is a record of notes constituting question data to be presented to the performer, each of which contains a question data file storing at least a note pitch and a pronunciation start time, and In a computer comprising a storage device storing an evaluation coefficient table storing weights for each predetermined ability type for each predetermined accuracy rate type obtained by comparing performance data based on question data and performer input, In the computer,
A tone generation step for generating a tone based on a record of the question data stored in the question data file, and for generating a tone having an input pitch based on a player's input,
A performance data generation step of generating a performance data file storing each record of notes having the pitch of the input musical tone and the sounding start time based on the player's input, and storing it in the storage device;
A correct rate calculation step of calculating a correct rate for each correct rate type based on the performance data in the performance data file and the question data;
An evaluation value calculation step of calculating an evaluation value for each capability based on the accuracy rate for each accuracy rate type and the coefficient in the evaluation coefficient table is achieved by the capability evaluation program. Is done.

In a preferred embodiment, in the accuracy rate calculation step, the computer
Calculating the correct answer rate of the pronunciation start time by comparing the pronunciation start time in the record of the question data and the pronunciation start time in the record of the performance data, as the correct answer type, and / or
Comparing the pitch in the record of the question data with the pitch in the record of the performance data, a step of calculating a correct rate of the pitch is executed.

In another preferred embodiment, the record of the question data file and the record of the performance data file have a note length and / or intensity,
In the accuracy rate calculating step, the computer
Calculating the correct rate of the mute time based on the pronunciation start time and sound length in the record of the question data and the sound start time and sound length in the record of the performance data as the correct answer type, and Or
Comparing the strength in the record of the question data with the strength in the record of the performance data, a step of calculating a correct answer rate of the strength is executed.

In a preferred embodiment, in the evaluation value calculating step, the computer
The accuracy rate Val [t] (where t is a parameter indicating the accuracy rate type) and the coefficient R [t] [m] in the evaluation coefficient table (where t is a parameter indicating the accuracy rate type, and m is the capability type) The evaluation value G [m] is expressed as G [m] = Σ (R [t] [m] × Val [t])
The step of calculating according to is performed.

In a more preferred embodiment, the storage device stores an application data file storing a record of question data for each question mode according to the ability type, and a weight for each of the evaluation values for each question mode. Storing the second evaluation coefficient table,
In the evaluation value calculating step, the computer
The question mode, the evaluation value G [m] (m is a parameter indicating the ability type) and the coefficient RR [type] [m] in the second evaluation coefficient table (type is a parameter indicating the question mode, and m is the ability type) On the basis of the parameter) indicating the modified evaluation value GR [m]
GR [m] = RR [type] [m] × G [m]
The step of calculating according to is performed.

  ADVANTAGE OF THE INVENTION According to this invention, based on the performance data by a player, it becomes possible to provide the capability evaluation system and capability evaluation program which evaluate a player's various capability classification.

  Embodiments of the present invention will be described below with reference to the accompanying drawings. FIG. 1 is a block diagram showing a configuration of a capability evaluation apparatus according to an embodiment of the present invention. As shown in FIG. 1, an ability evaluation apparatus 10 according to the present embodiment includes an input device 11 including a keyboard, a display device 12, a key pressing operation on the keyboard, and a reproduction processing unit 13 that reproduces a musical sound based on question data. The question data generation unit 14 for generating data, the performance data generation unit 15 for generating performance data based on the key pressing operation by the performer, the storage device 16 for storing various data and parameters, and the question data and performance data The correct answer rate of the performer and the correct answer rate calculation / evaluation processing unit 17 for calculating an evaluation value based on the correct answer rate, and a drawing process for generating image data for displaying question data, performance data, evaluation results, and the like A portion 18 is provided.

  The storage device 16 has a question data file 21 for storing a series of question data, a question parameter file 22 for storing parameters for determining the question data and the image format, and performance data based on a performance (key pressing operation) by the performer. A performance data file 23 for storing the evaluation coefficient table 24 for storing coefficients used for evaluation value calculation by the accuracy rate calculation / evaluation processing unit 17, and a result of processing by the accuracy rate calculation / evaluation processing unit 17. A result file 25 is included.

  The question data generation unit 14 reads out a set of question data from the question data file 21 based on the parameters stored in the question parameter file 22 and the operation of the player's input device 11, and gives them to the reproduction processing unit 13. The reproduction processing unit 13 generates a musical sound based on the question data and outputs it from a speaker, for example.

  The correct answer rate calculation / evaluation processing unit 17 calculates the correct answer rate of the performance based on the performance data stored in the performance data file 23 and the question data stored in the question data file 21, and also evaluates based on the correct answer rate. Calculate the value. At that time, the evaluation coefficient table 24 is referred to.

  FIG. 2 is a block diagram showing a hardware configuration of the capability evaluation apparatus according to the present embodiment. As shown in FIG. 2, the hardware of the capability evaluation device 10 includes a CPU 30, a ROM 32, a RAM 34, an input device 11, a display device 12, and a sound system 40. As can be understood from FIG. 2, the capability evaluation apparatus 10 according to the present embodiment can be realized by a normal personal computer. The CPU 30 executes processes such as system control, generation of question data and performance data, accuracy rate calculation, evaluation calculation, and generation of image data to be displayed on the screen of the display device. The ROM 32 stores programs, constants used when the programs are executed, and the like. The RAM 34 temporarily stores variables, input data, output data, and the like necessary in the course of program execution.

  The input device 11 includes a keyboard, a keyboard, and a mouse, and provides the CPU 30 with various instruction information such as key pressing information based on the player's key pressing operation and selection of question data of the ability evaluation device. On the screen of the display device 12, an image based on the evaluation processing result and the question data is displayed. The sound system 40 includes a musical tone generation circuit, an amplifier, a speaker, etc., generates predetermined musical sounds according to the question data and performance data in response to an instruction from the CPU 30, and outputs an acoustic signal based on the musical sounds.

  The functions of the reproduction processing unit 13 shown in FIG. 1 are realized by the CPU 30 and the tone generation circuit of the sound system 40. The functions of the question data generation unit 14, the performance data generation unit 15, the accuracy rate calculation / evaluation processing unit 17, and the drawing processing unit 18 are mainly realized by the CPU 30. The storage device 16 corresponds to, for example, the ROM 32 or the RAM 34. Alternatively, in the case where a hard disk device is included as the hardware of the capability evaluation device 10, the storage device 16 also corresponds to the hard disk device.

  In the ability evaluation apparatus 10 according to the present embodiment, for example, a program stored in the ROM 32 of the ability evaluation apparatus 10 replaces the computer with the question data generation unit 14, the performance data generation unit 15, and the accuracy rate calculation / evaluation processing unit 17. And function as the drawing processing unit 18.

  FIG. 3 is a flowchart showing a general flow of the capability evaluation apparatus according to the present embodiment. In the general flow, after various components of the ability evaluation device 10 are initialized (step 301), the question data generation unit 14 operates the predetermined data from the question data file 21 by operating the player's input device 11. The data is read (step 302), and various flags are set according to the question mode selected by the performer (step 303). This question mode and flag will be described later.

  In the present invention, the question data includes sound string data in the time axis direction, that is, melody data. In this specification, one sound element in a sound string is referred to as a note. In the present embodiment, according to the question mode, for example, a melody based on the question data is sounded, and the performer inputs a musical tone similar to the musical tone as an answer by pressing a key operation while listening to the musical tone.

  The question data is generated according to the question mode, and reproduction is started (step 304). In step 304, a flag indicating that a question is being asked is set. The actual reproduction of the question data is performed by an interrupt routine described later. In the interrupt routine, it can be determined by referring to the flag set in step 304 whether or not a question is being asked.

  Upon receiving a key pressing operation (user performance) by the performer, the performance data generation unit 15 generates performance data and stores it in the performance data file 23 (step 305).

  Thereafter, the correct answer rate calculation / evaluation processing unit 17 compares the question data with the performance data to calculate the correct answer rate (step 306), and based on the calculated correct answer rate, an evaluation value for a predetermined ability type Is calculated (step 307). The evaluation result obtained by the accuracy rate calculation / evaluation processing unit 17 is stored in the result file 25 and displayed on the screen of the display device 12 (step 308). The above-described processing is repeated until an end instruction is given from the performer (step 309).

  FIG. 4 is a flowchart of the interrupt routine according to the present embodiment. The interrupt routine is executed in parallel with the general flow and performs tone generation based on the question data and tone generation based on the player's key pressing operation until the processing is completed (Yes in step 401). If the question is being answered (Yes in Step 402), Steps 405 to 408 are executed until the pronunciation is finished (see Step 403).

  When a later-described reproduction flag FlagPF is “1” (Yes in Step 404), the reproduction processing unit 13 generates and outputs a musical sound based on the question data (Step 405). Further, the drawing processing unit 18 generates a score image based on the question data according to the question mode and displays it on the screen of the display device 12 (step 406). In step 406, it is determined whether or not a keyboard guide flag FlagKG, which will be described later, is “1”. If it is “1”, a predetermined key is blinked or a color is changed in the keyboard guide. Generated images.

  When a later-described piano roll guide flag FlagPR is “1” (Yes in step 407), the drawing processing unit 18 updates the image of the piano roll guide in accordance with the pronunciation of the musical sound based on the question data. Is displayed on the screen of the display device 12 (step 408). In the piano roll guide, as shown in FIG. 8, in the piano roll guide presentation area (reference numeral 802), the horizontal axis represents the pitch corresponding to the keyboard, the vertical axis represents time, and the time to be pronounced is a vertical bar. In this embodiment, the bar is moved in the vertical direction (downwardly away from the keyboard in this embodiment) as time progresses.

  If the performer is answering, that is, if the performer is playing (Yes in Step 409), the performance data generation unit 15 performs the performance according to the user's key pressing operation until the sound generation ends (see Step 410). Data is generated (step 411). As will be described later, the performance data includes at least a pitch (Pit), a sound generation start time (Time), a tone length (Gate), and a velocity (Vel) for one note.

  FIG. 5 is a diagram showing a configuration example of question data and performance data according to the present embodiment. As shown in FIG. 5, in the present embodiment, one record represents one note (see reference numerals 501 and 502). Each record includes a pitch (Pit), a sound generation start time (Time), a pitch (Gate), a velocity (Vel), a pointer to a record related to the next note (* next), and a pointer to a record related to the previous note ( * Prev). The pitch (Pit) corresponds to, for example, a key number. Velocity represents the strength of key press (key press speed) by the performer, and this determines the volume level of the musical sound to be pronounced.

  Hereinafter, the accuracy rate calculation process in step 306 of FIG. 3 will be described in more detail. 6 and 7 are flowcharts showing an example of the accuracy rate calculation processing according to the present embodiment. As shown in FIG. 6, the accuracy rate calculation / evaluation processing unit 17 initializes a parameter “n” for specifying a record of performance data and a record of question data to “0” (step 601) and The time difference “Tadj” between the start time and the performance start time is initialized to “0” (step 602).

  Next, the correct answer rate calculation / evaluation processing unit 17 determines whether or not the flag “FlagTL” for specifying the question mode is “1” (step 603). Hereinafter, the question mode in the present embodiment will be described.

  In the present embodiment, in particular, in order to evaluate each of the four ability types (“memory ability”, “concentration ability”, “motor ability” and “cognitive ability”), the fourth question assignment from the first question assignment mode is performed. A mode is provided. In addition, in order to specify the question mode, whether or not the question data is reproduced (first condition), whether or not the keyboard guide is present (second condition), whether or not the piano roll guide is present (third condition), and the performance time limit (Fourth condition).

  The first condition is a reproduction flag “FlagPF”, the second condition is a keyboard guide flag “FlagKG”, the third condition is a piano roll guide flag “FlagPR”, and the fourth condition is a time limit flag “FlagTL”. "Is determined.

  Regarding the first condition, when the reproduction flag “FlagPF” is “1”, the reproduction processor 13 reproduces a musical sound based on the question data, and when it is “0”, the musical sound is not reproduced. Regarding the second condition, when the keyboard guide flag “FlagKG” is “1”, the image of the keyboard guide is displayed on the screen of the display device 12, and when it is “0”, the image of the keyboard guide is not displayed.

  As for the third condition, when the piano roll guide flag “FlagPR” is “1”, an image of the piano roll guide is displayed on the screen of the display device 12, and when it is “0”, an image of the piano roll guide is displayed. Not. Regarding the fourth condition, when the time limit flag “FlagTL” is “1”, the performer starts playing (key pressing operation) within a certain time limit from the reproduction of the musical sound based on the question data, and is set to “0”. Sometimes, the performer performs in real time simultaneously with the reproduction of the musical sound based on the question data.

In the first question mode (memory mode), the flag value is
Playback flag FlagPF: 1 (with playback sound)
Keyboard guide flag FlagKG: 1 (with keyboard guide flag)
Piano roll guide flag FlagPR: 0 (no piano roll guide flag)
Time limit flag FlagTL: 1 (with time limit)
It becomes.

In the second question mode (concentration mode), the flag value is
Playback flag FlagPF: 1 (with playback sound)
Keyboard guide flag FlagKG: 1 (with keyboard guide)
Piano roll guide flag FlagPR: 0 (no piano roll guide)
Time limit flag FlagTL: 1 (with time limit)
It becomes.

In the third question mode (motor ability mode), the value of the flag is
Playback flag FlagPF: 1 (with playback sound)
Keyboard guide flag FlagKG: 1 (with keyboard guide)
Piano roll guide flag FlagPR: 1 (with piano roll guide)
Time limit flag FlagTL: 0 (real time)
It becomes. Also,
In the fourth question mode (cognitive ability mode), the flag value is
Playback flag FlagPF: 0 (no playback sound)
Keyboard guide flag FlagKG: 0 (no keyboard guide)
Piano roll guide flag FlagPR: 1 (with piano roll guide)
Time limit flag FlagTL: 0 (real time)
It becomes.

  FIG. 8 is a diagram illustrating an example of an image displayed on the screen of the display device in the present embodiment. As shown in FIG. 8, in the present embodiment, a keyboard is drawn on an image 800, and a keyboard guide region 801 including a keyboard guide that presents a key to be pressed by a performer by blinking or color change; Based on the question data, the piano roll guide area 802 representing the key to be pressed and the time to be pressed in the form of a bar with the vertical direction as the time axis, and the key pressed by the performer. It includes a user performance monitor area 803 that can be compared with a note, and an evaluation value presentation area 804 that shows an evaluation value for each ability type, calculated by an evaluation value calculation process described later.

  For example, in the keyboard guide area 801, keys filled with dots (see reference numerals 811 and 812) indicate keys to be pressed. In the piano roll guide region 802, the guide bar (see reference numerals 813 and 814) moves downward with time, and the lower end of the guide bar reaches the horizontal axis (reference numeral 821) indicating the user performance timing. Then, the performer presses the specified key. Further, the key is continuously pressed until the upper end of the guide bar reaches the horizontal axis 821.

  In the present embodiment, under the first question mode and the second question mode, the image includes a keyboard guide region 801, a user performance monitor region 803, and an evaluation value presentation region 804, and a piano roll guide region. 802 is not displayed. Under the third mode, the image includes all of the keyboard guide area 801, the piano roll guide area 802, the user monitor area 803, and the evaluation value presentation area 804. Also, under the third mode, the image includes a keyboard guide area 801, but no key blinking or color change occurs in this area. Further, the image includes a piano roll guide area 802, a user performance monitor area 803, and an evaluation value presentation area 804.

  FIGS. 14A to 14D are diagrams showing examples of note sequences (question sound sequences) of question data in the first question mode. FIGS. 15A to 15D are diagrams showing examples of note strings (question sound strings) of question data in the second question mode. Under the first question mode and the second question mode, as described above, after the musical sound based on the question data is reproduced, the performer performs a key pressing operation within a predetermined time limit.

  FIGS. 16A to 16D are diagrams illustrating an example of a note sequence (question sound sequence) of question data in the third question mode. Under the third question mode, the performer refers to the image displayed on the screen of the display device 12 and performs a key pressing operation simultaneously with the reproduction of the musical sound based on the question data.

  FIGS. 17A to 17D are diagrams showing an example of a note sequence (question sound sequence) of question data in the fourth question mode. Under the fourth question mode, as described above, there is no reproduced sound and no keyboard guide is displayed. Accordingly, as shown in FIG. 17, the performer performs a key pressing operation according to the bar-type display by the piano roll guide.

  When it is determined Yes in step 603 of FIG. 6, the accuracy rate calculation / evaluation processing unit 17 sets “Tadj = (time of me [0]) − (time of ne [0])” (step) 604). Here, ne [n] indicates the record of the nth note in the question data, and me [n] indicates the record of the nth note in the performance data.

  As shown in FIG. 9, “Tadj” obtained in step 604 is the question start time, that is, the pronunciation start time of the first note (0th note) of the sound sequence (question sound sequence) based on the question data. The performance start time, that is, the time difference from the sound generation start time of the first note (the 0th note) of the sound string (user performance sound string) based on the performance data is shown.

  Next, the accuracy rate calculation / evaluation processing unit 17 executes the following processes of Steps 606 to 611 for all the notes (see Step 605).

  The accuracy rate calculation / evaluation processing unit 17 calculates an error value for the following nth note (steps 606 to 609).

a = (Time of ne [n]) + Tadj− (Time of me [n])
b = ((time of ne [n]) + (Gate of ne [n])) + Tadj
− ((Time of me [n] + (Gate of me [n]))
c = (Vel of ne [n]) − (Vel of me [n])
d = (Pit of ne [n]) − (Pit of me [n])
The error value a is an error in the performance start time between the nth question data note and the nth performance data note,
The error value b is an error in mute time between the nth question data note and the nth performance data note,
The error value c is an error in velocity (velocity) between the note of the nth question data and the note of the nth performance data,
The error value d indicates an error in pitch between the note of the nth question data and the note of the nth performance data.

  Thereafter, the accuracy rate calculation / evaluation processing unit 17 accumulates the error values “a” to “d” in the previous processing as follows, as shown in the following. Add to [3] (step 610).

Val [0] = Val [0] + a
Val [1] = Val [1] + b
Val [2] = Val [2] + c
Val [3] = Val [3] + d
Thereafter, the correct rate calculation / evaluation processing unit 17 increments the parameter “n” (step 611), and returns to step 605.

When it is determined Yes in step 605, the accuracy rate calculation / evaluation processing unit 17 divides the error accumulated values Val [0] to Val [3] by the total number of notes “n”, respectively, to obtain the notes. It is a value representing the error (error rate) for each. Further, the error rate Val [0] / n from the reference value “N ₀ ”, the error rate Val [1] / n from the reference value “N ₁ ”, and the error rate Val [2] / n from the reference value “N ₂ ”. By subtracting the error rate Val [3] / n from the reference value “N ₃ ”, n is set to a value representing the correct answer rate (steps 701 to 704). The reference value is a predetermined value considering each error rate. Thereby, Val [0] to Val [3] are values indicating the following items.

Val [0]: Correct rate of performance start time Val [1]: Correct rate of mute time Val [2]: Correct rate of intensity (velocity) Val [3]: Correct rate of pitch Correct rate calculation / evaluation processing unit 17 calculates an evaluation value for the capability type using the value of the accuracy rate Val [t] (m = 0 to 3). FIG. 10 is a flowchart illustrating an example of the evaluation value calculation process according to the present embodiment. In the present embodiment, an evaluation value is calculated for each of the four ability types (“memory ability”, “concentration ability”, “exercise ability”, and “cognitive ability”).

  As shown in FIG. 10, the accuracy rate calculation / evaluation processing unit 17 initializes the parameter “m” for specifying the capability type to “0” (step 1001), and the processing is completed for all capability types. (See step 1002), the following steps 1003 to 1007 are repeated.

  The accuracy rate calculation / evaluation processing unit 17 initializes “t”, which is a parameter for specifying the accuracy rate type, to “0” (step 1003), and the processing for all accuracy rate types ends. (See step 1004), steps 1005 to 1006 are repeated.

  The accuracy rate calculation / evaluation processing unit 17 adds the element R [t] [of the evaluation coefficient table (see reference numeral 24 in FIG. 1) to the evaluation value G [m] for the type of accuracy rate specified by the parameter “m”. The product of m] and the accuracy rate Val [t] is added as a new evaluation value G [m] (G [m] = G [m] + R [t] [m] × Val [t] : Step 1005). Thereafter, the accuracy rate calculation / evaluation processing unit 17 increments the parameter “t” for specifying the accuracy rate (step 1006).

  Hereinafter, the evaluation coefficient table according to the present embodiment will be described. FIG. 11 is a diagram showing an evaluation coefficient table according to the present embodiment. As shown in FIG. 11, in the evaluation coefficient table 110, the weight (coefficient) for each of the ability types “memory ability”, “concentration ability”, “motor ability”, and “cognitive ability” is classified for each correct answer rate type. Stored. In the example, the weight (coefficient) represents a percentage (%). For example, for the correct answer rate of the pronunciation start time, a set of weights “memory ability: 80”, “concentration ability: 100”, “motor ability: 70” and “cognitive ability: 100” can be obtained (see reference numeral 1101). . In addition, for the correct answer rate of the mute time, a set of weights “memory ability: 10”, “concentration ability: 100”, “motor ability: 10” and “cognitive ability: 100” can be obtained (see reference numeral 1102).

That is, the obtained evaluation value G [m] is the sum of products of the correct answer rate Val [t] and the weight for a certain ability type for each correct answer rate G [m] = Σ (R [t] [m] × Val [t])
Means.

  If the processing of Steps 1005 and 1006 is completed for all of the correct answer types specified by the parameter [m] (Yes in Step 1004), the correct answer rate calculation / evaluation processing unit 17 sets “m "Is incremented (step 1005), and an evaluation value G [m] for the next ability type is calculated.

  In this manner, after calculating the evaluation value G [m] for each ability type from the correct answer rate, the weighting corresponding to the question mode is further given, and the corrected evaluation value corresponding to the question mode is calculated. FIG. 12 is a diagram illustrating an evaluation value correction process based on the question mode according to the present embodiment.

  As shown in FIG. 12, the parameter “m” for specifying the capability type is initialized to “0” (step 1201), and the processing is completed for all capability types (see step 1202). 1204 is repeated.

  The correct rate calculation / evaluation processing unit 17 multiplies the evaluation value G [m] of the ability type specified by the parameter “m” by the element RR [type] [m] of the second evaluation coefficient table, and then corrects it. The evaluation value GR [m] is calculated (GR [m] = RR [type] [m] × G [m]: step 1203). Here, “type” is a parameter for specifying one of the first mode to the fourth mode. Thereafter, the accuracy rate calculation / evaluation processing unit 17 increments the parameter “m” (step 1204).

  FIG. 13 is a diagram illustrating an example of a second evaluation coefficient table according to the present embodiment. As shown in FIG. 13, in the second evaluation coefficient table 1300, the weight (coefficient) for the evaluation value G [m] (m = 0 to 3) of each ability type is stored for each question mode (type). Has been. Also in the second evaluation coefficient table, the weight represents a percentage (%).

  For example, if “type” is the first question mode (memory ability mode), “G [0] (memory ability): 100”, “G [1] (concentration ability): 10”, “G [2] ( Motor ability): 10 ”and“ G [3] (cognitive ability): 0 ”are extracted (see reference numeral 1301). If “type” is the second question mode (concentration mode), “G [0] (memory): 50”, “G [1] (concentration): 100”, “G [2] A set of weights (motor ability): 10 ”and“ G [3] (cognitive ability): 0 ”is extracted (see reference numeral 1302).

  Since the evaluation value G [0] is an evaluation value for the ability type “memory ability”, the weight is “100” in the first question mode (memory ability mode) (see reference numeral 1311). Similarly, the evaluation values G [1], G [2], and G [3] are evaluation values for the ability types “concentration”, “exercise ability”, and “cognitive ability”, respectively. In each of the question mode, the third question mode, and the fourth question mode, the corresponding weight is “100” (see reference numerals 1312, 1313, and 1314). However, in each question mode, predetermined weights are also given to ability types other than the ability types directly related to the question mode.

As described above, the modified evaluation value GR [m] is the product of the evaluation value G [m] and the weight for the evaluation value G [m] determined by the question mode GR [m] = RR [type] [M] x G [m]
It becomes.

  The calculated modified evaluation value GR [m] is stored in the result file 25, and an image including the evaluation value GR [m] is generated by the drawing processing unit 18 and displayed on the screen of the display device 12. Is done.

  According to the present embodiment, the accuracy rate of the performance data for each type is calculated from the question data and the performance data pressed by the performer based on the presentation of the question data. In addition, an evaluation coefficient table storing respective weights of a plurality of abilities for the correct answer rate type is provided in the storage device. For each ability, the sum of products of the correct answer rate and the weight for each correct answer rate is used as an evaluation value for the property. In this way, the correct answer rate of the performance is calculated based on the performance by the performer, and based on the correct answer rate, the player's ability understood by the performance can be obtained as the evaluation value.

  For example, as the correct answer rate type, the pronunciation start time in the record of the question data is compared with the pronunciation start time in the record of the performance data, and the correct answer rate of the pronunciation start time and the pitch in the record of the question data are compared. And the pitch in the record of the performance data is compared, and the correct rate of the pitch is calculated. Since a product of the correct answer rate and the weight for each correct answer rate is obtained, a more appropriate evaluation value can be obtained by employing various correct answer rates. Furthermore, as the correct answer rate type, the correct answer rate of the mute time based on the pronunciation start time and sound length in the record of question data and the pronunciation start time and sound length in the record of performance data, and in the record of question data You may employ | adopt the correct answer rate of the intensity | strength which compared intensity | strength and the intensity | strength in the record of performance data.

Further, in the present embodiment, a predetermined accuracy rate type Val [t] (t is a parameter indicating the accuracy rate type) and a coefficient R [t] [m] in the evaluation coefficient table (where t is The evaluation value G [m] is G [m] = Σ (R [t] [m] × Val [t]) based on the parameter indicating the correct answer type and m is the parameter indicating the ability type)
It is calculated based on Therefore, the evaluation value for a certain ability type is the sum of the correct answer rates given weights, and takes into account all correct answer type types.

  Furthermore, according to the present embodiment, the second evaluation can be performed in different modes according to the question mode, and the weight to be given to the evaluation value G [m] is stored for each question mode. A coefficient table is provided. Therefore, it is possible to calculate the evaluation value GR [m] that is corrected by adding the weight according to the question mode to the calculated evaluation value G [m]. Thereby, it is possible to obtain an evaluation value of a more appropriate ability type according to the question mode.

  The present invention is not limited to the above embodiments, and various modifications can be made within the scope of the invention described in the claims, and these are also included in the scope of the present invention. Needless to say.

  For example, in the above-described embodiment, “pronunciation start time”, “mute time”, “strength (velocity)”, and “pitch” are adopted as the correct answer rate types. May be adopted as the accuracy rate type, or other accuracy rate types may be adopted.

  In the embodiment, “memory ability”, “concentration ability”, “exercise ability”, and “cognitive ability” are adopted as ability types, and evaluation values for the respective ability types are calculated. However, the present invention is not limited to the above four ability types, and it goes without saying that any one or more of these may be adopted, or other ability types may be adopted.

  Furthermore, the performance data may be generated not only based on the key pressing operation on the performer's keyboard but also based on the input of another input device (keyboard or touch panel).

  In the present embodiment, the accuracy (error rate) for each note is calculated, and the accuracy rate is calculated by subtracting the error rate for each note from a predetermined reference value. However, the accuracy rate is not limited to that described above, and the accuracy rate may be calculated by another method.

FIG. 1 is a block diagram showing a configuration of a capability evaluation apparatus according to an embodiment of the present invention. FIG. 2 is a block diagram showing a hardware configuration of the capability evaluation apparatus according to the present embodiment. FIG. 3 is a flowchart showing a general flow of the capability evaluation apparatus according to the present embodiment. FIG. 4 is a flowchart of the interrupt routine according to the present embodiment. FIG. 5 is a diagram showing a configuration example of question data and performance data according to the present embodiment. FIG. 6 is a flowchart showing an example of a correct rate calculation process according to the present embodiment. FIG. 7 is a flowchart illustrating an example of the accuracy rate calculation process according to the present embodiment. FIG. 8 is a diagram illustrating an example of an image displayed on the screen of the display device in the present embodiment. FIG. 9 is a diagram for explaining the time difference Tadj at the start of sound generation according to the present embodiment. FIG. 10 is a flowchart illustrating an example of the evaluation value calculation process according to the present embodiment. FIG. 11 is a diagram showing an evaluation coefficient table according to the present embodiment. FIG. 12 is a diagram illustrating an evaluation value correction process based on the question mode according to the present embodiment. FIG. 13 is a diagram illustrating an example of a second evaluation coefficient table according to the present embodiment. FIGS. 14A to 14D are diagrams showing examples of note sequences (question sound sequences) of question data in the first question mode. FIGS. 15A to 15D are diagrams showing examples of note sequences (question sound sequences) of question data in the second question mode. FIGS. 16A to 16D are diagrams illustrating an example of a note sequence (question sound sequence) of question data in the third question mode. FIGS. 17A to 17D are diagrams showing an example of a note sequence (question sound sequence) of question data in the fourth question mode.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 Ability evaluation apparatus 11 Input apparatus 12 Display apparatus 13 Playback processing part 14 Question data generation part 15 Performance data generation part 16 Storage device 17 Correct rate calculation / evaluation processing part 18 Drawing process part 21 Question data file 22 Question parameter file 23 Performance data File 24 Evaluation coefficient table 25 Result file

Claims (10)

Record of notes that make up the question data to be presented to the performer, each storing at least a record having a note pitch and a pronunciation start time, and input of the question data and the performer A storage device storing an evaluation coefficient table storing weights for each predetermined ability type for each predetermined accuracy rate type obtained by comparing performance data based on the performance data;
A sound generation means for sounding a musical sound based on the record of the question data stored in the question data file, and for generating a musical sound of the input pitch based on a player's input,
Performance data generating means for generating a performance data file storing each record of notes having the pitch of the input musical tone and the sounding start time based on the player's input, and storing the performance data file in the storage device;
Correct rate calculation means for calculating a correct rate for each correct rate type based on the performance data in the performance data file and the question data;
An ability evaluation system comprising: an evaluation value calculating means for calculating an evaluation value for each ability based on a correct answer rate for each correct answer type and a coefficient in the evaluation coefficient table.   The correct answer rate calculating means compares the pronunciation start time in the record of the question data with the pronunciation start time in the record of the performance data as the correct answer type, and the correct answer rate of the pronunciation start time, and / or 2. The ability evaluation system according to claim 1, wherein a pitch accuracy rate is calculated by comparing a pitch in the record of the question data and a pitch in the record of the performance data. . The record of the question data file and the record of the performance data file have a note length and / or intensity,
The correct answer rate calculation means, as the correct answer rate type, based on the pronunciation start time and sound length in the record of the question data and the sound start time and sound length in the record of the performance data, 3. The accuracy correct rate is calculated by comparing the rate and / or the strength in the record of the question data with the strength in the record of the performance data. Capability evaluation system. The evaluation value calculating means is
The accuracy rate Val [t] (where t is a parameter indicating the accuracy rate type) and the coefficient R [t] [m] in the evaluation coefficient table (where t is a parameter indicating the accuracy rate type, and m is the capability type) The evaluation value G [m] is expressed as G [m] = Σ (R [t] [m] × Val [t])
The performance evaluation system according to claim 1, wherein the performance evaluation system calculates according to claim 1. An application data file in which the storage device stores a record of question data for each question mode according to the ability type, and a second evaluation coefficient table in which weights for each of the evaluation values are stored for each question mode Remember
The evaluation value calculation means includes the question mode, the evaluation value G [m] (m is a parameter indicating the ability type), and the coefficient RR [type] [m] (type is the question mode in the second evaluation coefficient table). The evaluation value GR [m] modified based on the parameter indicating m and the parameter indicating the capability type),
GR [m] = RR [type] [m] × G [m]
The capacity evaluation system according to any one of claims 1 to 4, wherein the capacity evaluation system is calculated according to: Record of notes that make up the question data to be presented to the performer, each storing at least a record having a note pitch and a pronunciation start time, and input of the question data and the performer A computer having a storage device storing an evaluation coefficient table storing a weight for each predetermined ability type for each predetermined accuracy rate type obtained by comparing performance data based on the computer,
A tone generation step for generating a tone based on a record of the question data stored in the question data file, and for generating a tone having an input pitch based on a player's input,
A performance data generation step of generating a performance data file storing each record of notes having the pitch of the input musical tone and the sounding start time based on the player's input, and storing it in the storage device;
A correct rate calculation step of calculating a correct rate for each correct rate type based on the performance data in the performance data file and the question data;
An ability evaluation program, comprising: executing an evaluation value calculating step of calculating an evaluation value for each ability based on a correct answer rate for each correct answer type and a coefficient in the evaluation coefficient table. In the accuracy rate calculating step, the computer
Calculating the correct answer rate of the pronunciation start time by comparing the pronunciation start time in the record of the question data and the pronunciation start time in the record of the performance data, as the correct answer type, and / or
The ability according to claim 6, wherein a step of calculating a pitch accuracy rate is performed by comparing a pitch in the record of the question data with a pitch in the record of the performance data. Evaluation program. The record of the question data file and the record of the performance data file have a note length and / or intensity,
In the accuracy rate calculating step, the computer
Calculating the correct rate of the mute time based on the pronunciation start time and sound length in the record of the question data and the sound start time and sound length in the record of the performance data as the correct answer type, and Or
8. The ability evaluation according to claim 6 or 7, wherein a step of calculating a correct answer rate of the strength is performed by comparing the strength in the record of the question data and the strength in the record of the performance data. program. In the evaluation value calculating step, the computer
The accuracy rate Val [t] (where t is a parameter indicating the accuracy rate type) and the coefficient R [t] [m] in the evaluation coefficient table (where t is a parameter indicating the accuracy rate type, and m is the capability type) The evaluation value G [m] is expressed as G [m] = Σ (R [t] [m] × Val [t])
The performance evaluation program according to any one of claims 6 to 8, wherein the step of calculating according to the above is executed. An application data file in which the storage device stores a record of question data for each question mode according to the ability type, and a second evaluation coefficient table in which weights for each of the evaluation values are stored for each question mode Remember
In the evaluation value calculating step, the computer
The question mode, the evaluation value G [m] (m is a parameter indicating the ability type) and the coefficient RR [type] [m] in the second evaluation coefficient table (type is a parameter indicating the question mode, and m is the ability type) On the basis of the parameter) indicating the modified evaluation value GR [m]
GR [m] = RR [type] [m] × G [m]
The capacity evaluation program according to claim 6, wherein the step of calculating according to the above is executed.