JP4928195B2 - PROGRAM, INFORMATION STORAGE MEDIUM, AND GAME DEVICE - Google Patents

Description

  The present invention relates to a game device that executes a game in which a new character appears.

In recent years, a game device that executes a game in which a new character appears in the game as the game progresses is provided with a voice input means such as a microphone, and determines a parameter of the character to appear anew based on the input voice. Such a game device is known (see, for example, Patent Document 1).
Japanese Patent No. 2860097

  However, in the conventional game apparatus represented by Patent Document 1, arithmetic processing based on input speech is performed, and a parameter character based on the processing result is simply displayed, and a player for a newly appearing character is displayed. It was not enough to arouse interest. The present invention has been made in view of the above circumstances, and it is an object of the present invention to provide an effect that arouses the player's interest in a new character when the new character appears.

The first invention for solving the above-described problems is
A program for causing a computer to execute a game for causing a new character to appear at a given timing (for example, the game program 710 in FIG. 5),
Each character is associated with one of a plurality of predetermined parameters that can classify each character,
Character determination means for determining a new character (for example, character birth control unit 320 in FIG. 5; step B9 in FIG. 30),
A state in which an object corresponding to the determined parameter of the character and an object corresponding to another parameter among the objects (for example, the particle P in FIG. 3) previously associated with each parameter are mixed is displayed. Effect display control means to control (for example, birth effect unit 322 in FIG. 5; step G11 in FIG. 35),
Appearance control means for causing the determined character to appear,
As a program for causing the computer to function.

In addition, the fourteenth invention
A game device (for example, the portable game machine 1 in FIGS. 1 and 5) that executes a game that causes a new character to appear at a given timing,
Each character is associated with one of a plurality of predetermined parameters that can classify each character,
Character determination means for determining a new character;
An effect display control means for performing display control of a state in which an object corresponding to the determined parameter of the character and an object corresponding to another parameter among the objects previously associated with each parameter are mixed,
Appearance control means for causing the determined character to appear;
It is a game device provided with.

  According to the first or fourteenth aspect, among the objects associated with each parameter associated with each character, the object corresponding to the determined new character parameter and other parameters A state in which the corresponding object is mixed and displayed is controlled, and a game in which the determined character appears is realized. That is, a plurality of types of objects including objects corresponding to the parameters of the appearing character are displayed, and the character appears. As a result, it is possible to create an effect that excites the appearance of the character, and by suggesting the character to appear by the object to be displayed, the player can enjoy the prediction of which character will appear, and to the newly appearing character You can be interested.

The second invention is the program of the first invention,
The object previously associated with each parameter is a particle,
The effect display control means functions to change the number of particles corresponding to the determined character parameters and / or the number of particles corresponding to other parameters, and to display and control the appearance of particles mixed in. It is a program to make it.

  According to the second aspect, particles are associated with each parameter as an object, and the number of particles corresponding to the determined new character parameter and / or the number of particles corresponding to another parameter can be varied. As a result, the display of particles mixed in is controlled.

The third invention is the program of the second invention,
Causing the computer to function as candidate determining means (for example, the character birth control unit 320 in FIG. 5; step B5 in FIG. 30) for determining a predetermined number of appearance candidate characters;
The character determining means determines a character to appear newly from the appearance candidate characters determined by the candidate determining means;
The effect display control means performs display control of the state of mixing of particles corresponding to the parameters of the appearance candidate characters determined by the candidate determination means,
So that the computer functions,
It is a program for.

  According to the third aspect of the invention, a character to be newly appearing is determined from the predetermined number of appearance candidate characters, and the state of mixing particles corresponding to the parameters of each of the predetermined number of appearance candidate characters is determined. Is displayed. That is, the parameters of characters that are candidates for appearance are suggested by the displayed particles.

The fourth invention is the program of the third invention,
Causing the computer to function as probability determining means for determining the appearance probability of each of the characters of the appearance candidates determined by the candidate determining means;
The effect display control means is such that the ratio of the number of each particle corresponding to the parameter of each appearance candidate character determined by the candidate determination means is a ratio according to the appearance probability determined by the probability determination means. And having the appearance probability corresponding number control means for controlling the number of each particle,
It is a program for.

  According to the fourth aspect, the appearance probability of each of the appearance candidate characters is determined, and the ratio of the number of each particle corresponding to the parameter of each of the appearance candidate characters is a ratio according to the determined appearance probability. To be controlled. That is, the appearance probability of the appearance candidate character is suggested as the appearance probability of the corresponding parameter by the number of each particle.

The fifth invention is the program of the second invention,
Causing the computer to function as candidate determining means (for example, the character birth control unit 320 in FIG. 5; step B5 in FIG. 30) for determining parameters of a predetermined number of characters to be appearance candidates;
The character determining means determines a character to newly appear from the characters corresponding to the parameters determined by the candidate determining means;
The effect display control means controls the display of the state of mixing particles corresponding to each of the parameters determined by the candidate determination means,
So that the computer functions,
It is a program for.

  According to the fifth aspect, parameters of a predetermined number of characters that are candidates for appearance are determined, characters to be newly appearing are determined from characters corresponding to the determined parameters, and each of the determined parameters is determined. The state of mixing particles corresponding to is displayed. That is, the parameters of the birth candidate character are suggested by the displayed particles.

6th invention is the program of 5th invention,
The computer functions as probability determining means (for example, birth probability determining unit 321 in FIG. 5; step B5 in FIG. 30) for determining appearance probabilities for newly appearing characters corresponding to the parameters determined by the candidate determining means. Let
The effect display control means is configured so that the ratio of the number of each particle corresponding to each of the parameters determined by the candidate determination means is a ratio according to the appearance probability determined by the probability determination means. The computer is caused to function so as to have number control means corresponding to the appearance probability for controlling the number (for example, the birth effect unit 322 in FIG. 5; step G7 in FIG. 35)
It is a program for.

  According to the sixth aspect, the appearance probability of the character corresponding to each parameter determined as the parameter of the appearance candidate character is determined, and the ratio of the number of each particle corresponding to each determined parameter is determined. It is controlled so that the ratio is in accordance with the appearance probability. That is, the appearance probability of the appearance candidate character is suggested as the appearance probability of the corresponding parameter by the number of each particle.

The seventh invention is the program of the fourth or sixth invention,
The number of each particle is controlled so that the appearance probability corresponding number control means has a ratio according to the appearance probability determined by the probability determining means when a predetermined time has elapsed from the start of the particle display control by the effect display control means. Is a program for causing the computer to function so as to gradually change the value.

  According to the seventh aspect, the number of particles is gradually varied so that the ratio according to the determined appearance probability is reached when a predetermined time has elapsed from the start of the display control of the particles. That is, the number of each particle changes until the character actually appears, thereby making it possible to entertain the expectation of the appearing character without getting tired until the character appears.

The eighth invention is the program of any one of the second to seventh inventions,
The effect display control means is a program for causing the computer to function so as to variably control the number of particles by controlling the generation amount of each particle.

  According to the eighth aspect, by controlling the generation amount of each particle, the number of each particle is variably controlled. Thereby, for example, by increasing the generation amount of a certain particle, it is possible to relatively increase the number compared to other particles.

A ninth invention is a program according to any one of the second to eighth inventions,
The effect display control means is a program for causing the computer to function so as to variably control the number of each particle by controlling the life of each particle.

  According to the ninth aspect of the invention, the number of each particle is variably controlled by controlling the lifetime of each particle. Here, the lifetime is a display period of particles. Thereby, for example, by making the lifetime of a certain particle longer than that of another particle, the other particle disappears first (display disappears), so that the number can be relatively larger than that of the other particle.

A tenth invention is a program according to any one of the second to ninth inventions,
In the final stage of a predetermined period predetermined as a period during which the display control unit performs display control of the particles, each of the production display control units so that the number of particles corresponding to the character parameter determined by the character determination unit is maximized. A program for causing the computer to function so as to variably control the number of particles.

  According to the tenth aspect of the present invention, at the final stage of a predetermined period that is predetermined as a period for performing particle display control, the number of particles corresponding to the previously determined character parameter is maximized. The number of particles is variably controlled. That is, finally, the number of particles corresponding to the parameters of the newly appearing character becomes the largest. This makes it possible to more clearly suggest the parameters of characters appearing in the final stage of particle display control, further arousing the player's interest in newly appearing characters, and improving the presentation effect on the appearing characters. It becomes.

The eleventh invention is a program according to any one of the second to tenth inventions,
The effect display control unit is a program for causing the computer to function so as to have a display mode changing unit that changes a display mode of each particle with time.

  According to the eleventh aspect, the display mode of each particle is changed with time. Here, the display mode is, for example, a shape, size, color, pattern, or the like. As a result, for example, by changing the display mode of the particles corresponding to the parameters of the character to be born so as to differentiate it from other particles, a further effect when the character appears can be realized and It is possible to clearly suggest the parameters of the character to be played.

The twelfth invention is a program according to any one of the second to eleventh inventions,
An object placement means for placing a predetermined object in which a new character is born;
Force field setting means for setting a moving force field of particles centered on the arranged object;
Function the computer as
The effect display control means causes the computer to function so as to have particle movement control means for controlling movement of each particle based on the set moving force field,
The appearance control means causes the computer to function so as to perform control for causing the character determined by the character determination means to appear from the arranged objects;
It is a program for.

  According to the twelfth aspect, the movement of each particle is controlled based on the particle movement force field set around the predetermined object arranged, and the character determined from the predetermined object appears. The As a result, for example, by causing the particles to move based on the object such that the particles are generated from the object, gather at the object, or go around the object, the player's interest is directed to the object, and the character is moved to the object. It is possible to further improve the production when making it appear.

  The thirteenth invention is a computer-readable information storage medium (for example, the storage unit 700 in FIG. 5) storing the program of any one of the first to twelfth inventions.

  Here, the information storage medium is a storage medium such as a hard disk, an MO, a CD-ROM, a DVD, a memory card, or an IC memory that can be read by a computer. Therefore, according to the thirteenth aspect, the same effect as the first to twelfth aspects can be achieved by causing the computer to read the information stored in the information storage medium and executing the arithmetic processing. .

  According to the present invention, after a plurality of types of objects including objects corresponding to the parameters of the appearing character are displayed, the character appears. This makes it possible to produce an effect that excites the appearance of the character, and by suggesting the character that appears by the object to be displayed, the player can enjoy the prediction of which character will appear, and against the newly appearing character You can be interested.

  Preferred embodiments of the present invention will be described below with reference to the drawings. In the following, a case where a breeding game is executed in a portable game machine will be described, but an embodiment to which the present invention can be applied is not limited to this.

[Appearance of game device]
FIG. 1 is a diagram illustrating an example of an appearance of a portable game machine 1 according to the present embodiment. According to the figure, the portable game machine 1 is a folding type in which an upper casing 10A and a lower casing 10B are connected to each other via a hinge 11 so as to be opened and closed. The open state of the portable game machine 1 in use is shown.

  On the inner surface of each housing 10A, 10B, two displays 12A, 12B, a speaker 13, a microphone 14, various operation buttons 15, etc. are arranged so as to be lined up and down with the hinge 11 in use. ing. The display 12B is integrally formed with a touch panel over the entire display area. The touch panel detects the touch operation position in units of dots constituting the display 12B, for example, by a detection principle such as a pressure-sensitive type, an optical type, an electrostatic type, or an electromagnetic induction type. The player can perform various operation inputs by touch operations on the display 12B with the attached stylus pen 30 or fingers.

  Game information including programs and data necessary for the portable game machine 1 to execute game processing is stored in a cartridge 20 that is detachable from a slot 16 provided on a side surface of the housing 10B. This game information may be acquired from an external device by connecting to a wireless communication line via the wireless communication device 18 built in the portable game machine 1.

  The portable game machine 1 includes a control device 17 equipped with a CPU and IC memories, a wireless communication device 18 for performing wireless communication in accordance with the wireless LAN standard, a reading device for the cartridge 20, and the like. The CPU mounted on the control device 17 includes a program and data read from the IC memory and the cartridge 20, a touch operation position detected by the touch panel, an audio signal input from the microphone 14, an operation signal input from the operation button 15, Various game processes are executed based on data received by the wireless communication device 18 and the like, and an image signal of a game screen and a sound signal of game sound are generated. Then, the generated image signal is output to the displays 12A and 12B to display the game screen, and the sound signal is output to the speaker 13 to output the game sound. The player enjoys the breeding game by operating the operation buttons 15 or touching the display 12B while watching the game screens displayed on the displays 12A and 12B.

[Game Overview]
In the breeding game of this embodiment, “egg” is acquired as a kind of item while the game is in progress. Then, the egg is born (appears) by “sounding the melody” to the egg, and the born character is nurtured. Here, “to listen to the melody” is realized by inputting a melody voice (song) from the microphone 14.

  A plurality of types of eggs having different appearances are prepared, and a plurality of types of characters are set as characters born from the eggs for each type of eggs. Then, a character corresponding to the melody heard is born from the plurality of types of characters set. That is, even if the eggs are of the same type, different characters are born if the melody to be heard is different. Even if the same melody is heard, if the type of egg is different, the character to be born is different.

  In addition, an attribute is set for each character. This attribute is a parameter for classifying each character, and affects character development, game progress, and the like. Here, there are a total of six types of attributes: “fire”, “wind”, “earth”, “water”, “light”, and “darkness”.

[Game screen]
FIG. 2 is a diagram illustrating an example of a game screen when a character is born. FIG. 4A is a game screen displayed on the display 12B, and FIG. 4B is a game screen displayed on the display 12A.

  According to FIG. 5A, an egg selection screen for selecting an egg for giving birth to a character is displayed on the display 12B. On the egg selection screen, a plurality of prepared egg OBs are listed together with the current number of possessions. Then, one type of egg OB is selected in the list of eggs OB. In FIG. 9A, three types of eggs OB are displayed among all types of eggs OB. Other eggs OB are displayed by scrolling the screen. Further, among the three types of displayed eggs OB, the egg OB at the center of the screen is in a selected state, and is displayed surrounded by a frame M indicating the selected state.

  Also, according to FIG. 5B, a character list screen that is a list of characters set in the egg is displayed on the display 12A. In the character list screen, characters set in the eggs selected in the egg selection screen (that is, characters that can be born from the eggs) are listed for each attribute. Among the characters displayed in the list, the names of the characters that are already born and owned are displayed, and the names of the characters that are not owned are not displayed (in the figure, “???”). ”). Thereby, it is possible to grasp at a glance whether or not each character is owned.

  The player selects a desired egg on the egg selection screen and determines the selection. Next, for example, in accordance with a countdown instruction displayed on the display 12A, a melody voice is input from the microphone 14 by uttering or playing a musical instrument. Then, a predetermined analysis process is performed on the input voice, and a character corresponding to the processing result is born from the previously selected egg. However, the character is not necessarily born, and the birth may fail depending on the input voice.

  If the birth of the character is successful, a character birth effect screen for directing the birth of the character is displayed for a predetermined time prior to the birth of the character. FIG. 3 is a diagram illustrating an example of a character birth effect screen. According to the figure, a large number of particulate particles P are displayed together with the selected egg OB on the character birth effect screen.

  The particle P suggests a character to be born, and a plurality of types (three types in the figure) of particles P (P1 to P3) are mixed and displayed. Each particle P has the same shape, but has a different color for each type. Each particle P is generated from an egg OB and is displayed as an animation so as to move and diffuse around the egg OB. Then, it disappears with a predetermined time (several seconds).

  Further, the display number of each particle P changes with time. Specifically, the display number of each particle P is substantially the same at the start of display of the character birth effect screen, but the display number of each particle P gradually changes (increase / decrease with time). ) At the time of the end of the display of the character birth effect screen, the displayed particles P are mostly one kind of particles P (specifically, particles P having a color according to the attributes of the character to be born) The number of displays of the other two types of particles P is very small. The change in the display number of the particles P is controlled by changing the generation amount of the particles P.

  When a predetermined time elapses from the display start of the character birth effect screen and the display of the screen ends, the character birth screen of the born character is then displayed. FIG. 4 is a diagram illustrating an example of a character birth screen. According to the figure, the character birth screen displays a state in which a new character CH is born from the selected egg OB. Then, the born character CH is added to the owned character as newly owned, and one selected type of egg is consumed (reduced).

[Function configuration]
FIG. 5 is a block diagram showing a functional configuration of the portable game machine 1. According to the figure, the portable game machine 1 functionally includes an operation input unit 100, a sound input unit 200, a processing unit 300, an image display unit 400, a sound output unit 500, and a communication unit 600. And a storage unit 700.

  The operation input unit 100 receives an operation instruction input from the player, and outputs an operation signal corresponding to the operation to the processing unit 300. This function is realized by, for example, a button switch, lever, dial, mouse, keyboard, various sensors, and the like. In FIG. 1, the operation button 15 and the touch panel formed integrally with the display 12B correspond to this.

  The sound input unit 200 collects sound such as voice input by the player and outputs a sound signal corresponding to the collected sound to the processing unit 300. This function is realized by a microphone or the like, for example. In FIG. 1, the microphone 14 corresponds to this.

  The processing unit 300 performs various arithmetic processes such as overall control of the portable game machine 1, game progress, and image generation. This function is realized by, for example, an arithmetic device such as a CPU (CISC type, RISC type), ASIC (gate array, etc.) or a control program thereof. In FIG. 1, a CPU or the like mounted on the control device 17 corresponds to this.

  The processing unit 300 mainly includes a game calculation unit 310 that performs calculation processing related to game execution, an image generation unit 330 that generates a game image based on various data obtained by the processing of the game calculation unit 310, And a sound generator 340 for generating game sounds such as sound effects and BGM.

  The game calculation unit 310 executes various game processes based on the operation signal input from the operation input unit 100, the sound signal input from the sound input unit 200, the program and data read from the storage unit 700, and the like. In the present embodiment, the game calculation unit 310 includes a character birth control unit 320 and realizes a breeding game by executing game processing based on the game program 710.

  The character birth control unit 320 includes a birth probability determination unit 321 and a birth production unit 322, and performs processing related to the birth of a character. Specifically, the character birth control unit 320 refers to the possessed item data 731 and displays an egg selection screen in which each of the prepared plural types of eggs is displayed together with the current number of possessions, for example, FIG. The image display unit 400 displays the image as shown in FIG.

  The owned item data 731 is data related to the current owned item. In FIG. 6, an example of a data structure of the possession item data 731 is shown. According to the figure, the owned item data 731 includes owned egg data 731a and owned character data 731d. The owned egg data 731a is data relating to the possession of the egg, and stores the egg type 731b and the owned number 731c in association with each other. The owned character data 731d is data relating to the possession of the character, and stores the character type 731f and the owned number 731g in association with each character attribute 731e.

  In addition, the character birth control unit 320 refers to the character setting table 732 and displays a character list screen that displays a character list corresponding to the egg selected in the egg selection screen, for example, as shown in FIG. Is displayed on the image display unit 400 as shown in FIG.

  The character setting table 732 is a data table related to characters set in each egg. FIG. 7 shows an example of the data configuration of the character setting table 732. According to the figure, a character setting table 732 is prepared for each egg type, each character setting table 732 stores a corresponding egg type 732a, and a plurality of characters for each character attribute 732b. The type 732c is stored in association with each other.

  When the selection of the egg is determined on the egg selection screen, the character birth control unit 320 starts recording the input voice after performing a predetermined countdown display or the like. That is, the input sound from the sound input unit 200 is converted into a digital signal, and is stored in the storage unit 700 as input sound data 721. When the recording is completed, the birth probability determining unit 321 performs a predetermined analysis process on the input voice data 721, and determines the birth probability of each of the three candidate attributes as the attributes of the candidate characters to be born based on the processing result. .

  Specifically, the birth probability determination unit 321 first detects a scale in a predetermined octave range (for example, 3 octaves) from the input voice data 721 at a predetermined time interval (for example, 1/8 second interval). Here, the scales are “de”, “de #”, “le”, “le #”, “mi”, “fa”, “fa #”, “so”, “so #”, “la”, This is a predetermined octave range (for example, 3 octaves) where a total of 12 types of “La #” and “Sh” are one octave. These 12 types are called pitch names.

  The scale detection result is stored in the detected scale data 722. FIG. 8 shows an example of detected scale data 722. According to the figure, the detected scale data 722 stores the presence / absence of detection of each scale 722b for each detection time 722a. In the same figure, “◯” indicates that it has been detected, and “X” indicates that it has not been detected (not detected).

  Next, the birth probability determination unit 321 determines the maximum level among the detected levels (sound intensity) of each scale. Then, in the detected scale data 722, a scale that does not satisfy a predetermined level condition among the detected scales is not detected.

  This level condition is stored in level condition data 733. FIG. 9 shows an example of the data configuration of the level condition data 733. According to the figure, the level condition data 733 stores a scale level condition based on the maximum level of the detected scale.

Subsequently, the birth probability determining unit 321 determines the detected scale for each detection time t in the detected scale data 722. If five or more adjacent scales are detected, the birth probability determination unit 321 All scales are silenced as non-detection. Specifically, for example, in FIG. 10A, six adjacent scales from “mi” to “la” are detected at time t _n . This, as shown in FIG. (B), all scale comprising these six scales and non-detection, to silence the time t _n.

  After that, the birth probability determination unit 321 calculates the total number (detected total number) in which each scale is detected based on the detected scale data 722. At this time, even if the octaves are different, if they have the same note name, they are counted as the same scale. Then, the total number of detections for each scale is summed to calculate the total number of detections for all scales. Further, the total number of detections of the scales (black key scales) with the semitone “#” in the scales is summed to calculate the total number of detections of all black key scales. Here, there are a total of five types of black key scales: “Do #”, “Le #”, “Fa #”, “So #”, and “La #”.

  The calculated total detection number is stored in the scale detection total number data 741. FIG. 11 shows an example of the data structure of the scale detection total number data 741. According to the figure, the scale detection total number data 741 stores the scale 741a and the detection total number 741b in association with each other, and stores the total scale detection number 741c and the total black key scale detection total number 741d. is doing.

Further, the birth probability determining unit 321 determines the rising (input timing) of each detected scale based on the detected scale data 722. In other words, when each of the scales detected in the detected scale data 722 satisfies any of the following conditions A1 to A3, the scale is determined to be “rise”.
Condition A1: The scale is not detected at the immediately preceding detection time t ₋₁ , and the scale is not detected at the immediately following detection time t ₊₁ .
Condition A2: The scale is not detected at the immediately preceding time t− ₁ , the scale is detected at the immediately following time t _{+ 1} , and the level of the scale detected at the time t _{+ 1} is currently Higher than the level of the scale detected at the detection time t.
Condition A3: The scale is not detected at the immediately preceding detection time t− ₁ , is detected at the immediately following detection time t _{+ 1} , and is detected at the immediately following detection time t _{+ 1} . Is lower than the level of the scale detected at the current detection time t.

  The rising determination result is stored in the rising scale data 723. FIG. 12 shows an example of the rising scale data 723. According to the figure, the rising scale data 723 stores whether each scale 723b is a rising scale at each detection time 723a, as with the detected scale data 722. In the figure, “◯” represents a rising scale, and “x” represents that it is not a rising scale (non-rising).

  Subsequently, the birth probability determining unit 321 collects the detected scale data 722, which is data for three octaves, into one octave for each pitch name, and sets it as the detected data for each pitch name 724. That is, as shown in FIG. 13, even if the octave is different at every detection time t, if the scale has the same pitch name, the scale is the same, and the detection data 724 by pitch name is one octave.

Then, the birth probability determination unit 321 calculates the number of detected scales at each detection time t in the detection data 724 by pitch name, and if the calculated number of scales is 7 or more, all of the times t are calculated. Silence the scale as non-detection. For example, in FIG. 14A, the _sum of “do”, “do #”, “mi”, “fa”, “fa #”, “la”, “la #”, and “si” at time t _n . Eight scales are detected. This, as shown in FIG. (B), at time t _n, to all of the scale comprising these eight scales undetected.

  Similarly, with respect to the rising scale data 723, the scales having the same pitch name are grouped into one octave as the same scale, and are set as the rising data 725 by pitch name.

  After that, the birth probability determination unit 321 determines the establishment of the chord for the detection data 724 by pitch name. Here, the chord is a combination of a plurality of predetermined scales (scale group) such as a major chord and a minor chord, and it is determined that a plurality of types of chords are established. That is, as shown in FIG. 15, in the detection data by pitch name 724, the establishment of a chord is determined at each detection time t, and the number of establishments for each type of chord is calculated. At this time, it is determined that a maximum of one code is established at each detection time t. Similarly, in the rise data 725 by pitch name, the establishment of a chord is determined at each detection time t, and the number of establishments for each chord type is calculated. Then, for each chord type, the number of formations of the detection data for each pitch name 724 and the rising data for each pitch name 725 is added to calculate the total number of formations.

  The calculated number of formed codes is stored in code number formed data 742. FIG. 16 shows an example of the data configuration of the code establishment number data 742. According to the figure, the code establishment number data 742 stores a code determination order 742a, a code 742b, and an establishment number 742c in association with each other. The determination order 742a is set so that the four-tone chord composed of four scales has a higher rank than the three-tone chord composed of three scales. In addition, the number of formations 742c includes the number of formations of the detection data by pitch name 724 and the rising data by pitch name 725, and the sum thereof.

  The birth probability determination unit 321 determines the establishment of each code in accordance with the determination order determined by the code establishment number data 742. That is, in the detection data by pitch name 724, the formation of each type of code is determined according to the determination order determined for each detection time t, and the code that is determined to be formed first is set as the formation code at the time t. Similarly, with respect to the rise data 725 by pitch name, the formation of each type of code is determined according to the determination order determined at each detection time t, and the code that is determined to be formed first is the formation code at the time t. And Then, for each type of chord, the number of formations in each of the detection data by pitch name 724 and the rising data by name 725 is added to obtain the total number of formations.

  Subsequently, according to the code classification table 734, the birth probability determining unit 321 determines, for each of the groups (A) to (D) in which the code types are classified, the total number of established codes belonging to the group as the point of the group. To do.

  The code classification table 734 is a data table in which code classification is defined. FIG. 17 shows an example of the data configuration of the code classification table 734. According to the figure, the code classification table 734 stores a group 734a and a code 734b in association with each other. There are four groups (A) to (D) in the group 734a.

  The points of the groups (A) to (D) are stored in the point data 743. FIG. 18 shows an example of the data configuration of the point data 743. According to the figure, the point data 743 stores a group 743a and a point 743b in association with each other. There are six groups (A) to (F) in the group 743a. Here, only the points of the groups (A) to (D) are determined, and the other groups (E) and (F) are determined. Sets the point to “0”.

Then, the birth probability determination unit 321 determines whether or not the points of the groups (A) to (D) satisfy the following condition B.
Condition B: Among the groups (A) to (D), at least one group point is “5” or more, and three or more group points are “1” or more.

  If this condition B is satisfied, three groups with higher points are selected from the groups (A) to (D). Then, with reference to the group / attribute correspondence table 735, the attributes corresponding to the selected groups are set as the first to third attributes that are the attributes of the candidate characters to be born in order from the attribute having the highest point.

  The group / attribute correspondence table 735 is a data table that defines the correspondence between groups (A) to (D) and character attributes. FIG. 19 shows an example of the data configuration of the group / attribute correspondence table 735. According to the figure, the group / attribute correspondence table 735 stores a group 735a and a character attribute 735b in association with each other.

  For example, in the case of FIG. 18, the first attribute is “Soil” corresponding to the group (C) with the most points, the second attribute is “Water” corresponding to the group (D) with the next most points, and The three attributes are “fire” corresponding to the group (A) having the second most points.

  Then, the birth probability determining unit 321 determines the birth probability of each of the first to third attributes based on the points of each selected group. That is, the ratio of the point of each group to the sum of the points of each of the three selected groups is set as the birth probability of the attribute corresponding to the group. For example, in the case of FIG. 18, the point of the group (C) corresponding to the first attribute “Sat” is “27”, and the point of the group (D) corresponding to the second attribute “water” is “23”. The point of the group (A) corresponding to the third attribute “fire” is “10”. The birth probability of the first attribute “Sat” is “45% (= 27/60 (= 27 + 23 + 10))”, the birth probability of the second attribute “Water” is “38% (= 23/60)”, The birth probability of the third attribute “fire” is “17% (= 10/60)”.

  The determined birth probability of each attribute is stored in the determined birth probability data 744. FIG. 20 shows an example of the data configuration of the determined birth probability data 744. According to the figure, the determined birth probability data 744 stores an attribute 744a and a birth probability 744b in association with each other. The attribute 744a includes first to third attributes. The birth probability 744b is set so that the total is 100%.

  That is, when the above-mentioned condition B is satisfied, characters having attributes corresponding to the groups (A) to (D), that is, “fire”, “wind”, “earth”, and “water” are born. A candidate character (selection candidate character) is selected, and a character to be born is selected from these characters.

  By the way, when the points of the groups (A) to (D) do not satisfy the condition B, the birth probability determining unit 321 determines the attributes and the birth probabilities of the first to third attributes as follows. However, when all the points of the groups (A) to (D) are “0”, that is, when no code is established, the birth of the character is determined as “failure” and the birth probability is not determined. .

  That is, when the above condition B is not satisfied because “there is no group having points“ 5 ”or more among the groups (A) to (D)”, detection of the all-black key scale based on the detected scale data 722 Based on the total number, the points of the groups (E) and (F) are determined with reference to the point setting table 736.

  FIG. 21 shows an example of the data configuration of the point setting table 736. According to the figure, the point setting table 736 stores the detected total number ratio 736a of all black key scales with respect to the detected total number of all scales and the points 736b of the groups (E) and (F) in association with each other. ing.

  The birth probability determining unit 321 refers to the scale detection total number data 741 and calculates the ratio of the total number of detected black key scales to the total number of detected scales (set scale content ratio). Then, in the point setting table 736, the points associated with the calculated detected total number ratio are set as the points of the groups (E) and (F). Next, from the groups (A) to (F), the top three groups having the highest points are selected, and the group / attribute correspondence table 735 is referred to. The first to third attributes are set in order from the first attribute. Then, the birth probability of each of the first to third attributes is determined based on the points of each selected group. That is, the ratio of the point of each group to the sum of the points of each of the three selected groups is set as the birth probability of the attribute corresponding to the group.

  Further, since the points of the groups (A) to (D) are “there are less than three groups of the groups (A) to (D) whose points are“ 1 ”or more”, the above condition B is not satisfied. In this case, the birth probability determining unit 321 determines the attributes and the birth probabilities of the first to third attributes based on the detected total number of each scale based on the detected scale data 722.

  That is, of the groups (A) to (D), when there are two groups with points “1” or more, one group with many points is set as the first group, and the group / attribute correspondence table 735 is referred to. The attribute corresponding to the group is the first attribute. The attribute corresponding to the other group is set as the second attribute.

  Also, when there is one group with points “1” or more among the groups (A) to (F), the birth probability determination unit 321 sets the group as the first group, and sets the group / attribute correspondence table 735. Referring to the attribute corresponding to the group as the first attribute. Next, according to the scale classification table 737, for each of the groups (a) to (f) in which the scale types are classified, the total number of detections of each scale belonging to the group is calculated.

  The scale classification table 737 is a data table that defines the scale classification. FIG. 22 shows an example of the data configuration of the scale classification table 737. According to the figure, the scale classification table 737 stores a group 737a, a scale 737b, and a character attribute 737c in association with each other. There are six groups (a) to (f) in the group 737a, and two types of scales are associated with each group.

  The calculated total number of detected scales of each group is stored in the scale classification data 745. FIG. 23 shows an example of the data configuration of the scale classification data 745. According to the figure, the scale classification data 745 stores a group 745a and a detected total number 745b in association with each other.

  The birth probability determining unit 321 refers to the scale detection total number data 741 and calculates the total detection total number of each scale belonging to the group (a) to (f). Then, among the groups (a) to (f), the group having the largest total detection count is determined, and the attribute corresponding to the determined group is set as the second attribute. At this time, if the attribute corresponding to the group having the largest scale number matches the first attribute, the attribute corresponding to the group having the next largest scale number is set as the second attribute.

  When the first and second attributes are determined, the birth probability determining unit 321 subsequently determines the third attribute based on the possessed character. That is, with reference to the character setting data 732 and possessed character data 731d corresponding to the type of egg selected to give birth to the character, the number of characters of the attribute possessed with respect to the total number of characters for each character attribute Calculate the ownership ratio, which is the ratio of. The attribute having the smallest calculated ownership ratio is set as the third attribute.

  As described above, when the attributes of the first to third attributes are determined, the birth probability determining unit 321 refers to the birth probability setting table 746 and determines the birth probabilities of the first to third attributes.

  FIG. 24 shows an example of the data configuration of the birth probability setting table 746. According to the figure, the birth probability setting table 746 stores the first group point 746a and the birth probabilities 746b of the first to third attributes in association with each other.

  The birth probability determination unit 321 is associated with the points of the first group (that is, the group corresponding to the attribute set as the first attribute among the groups (a) to (f)) in the birth probability setting table 746. A birth probability is determined as a birth probability for each of the first to third attributes.

  That is, when the above condition B is not satisfied, the attributes corresponding to the groups (A) to (F), that is, “fire”, “wind”, “earth”, “water”, “light”, and “darkness” Characters with six types of attributes become birth candidate characters, and a character to be born is selected from these characters.

  As described above, when the birth probability determining unit 321 determines the birth probability for each attribute of the character based on the code detected from the input voice, the character birth control unit 320 performs the determination for each attribute determined by the birth probability determining unit 321. The character to be born is determined according to the birth probability. That is, the attribute of the character to be born is determined from the first to third attributes according to the birth probability. Next, referring to the owned character data 731d and the character setting data 732 corresponding to the selected egg, a character that is a character that has been determined and is not owned, for example, is a character that gives birth to a randomly selected character. .

  After that, the birth production unit 322 performs a birth production that produces the birth of the determined character. Specifically, first, the colors and generation ratios of the first to third particles, which are the three types of particles P to be displayed, are determined. Here, the first to third particles correspond to the first to third attributes, respectively. The generation ratio is the ratio of the generation amount of each particle to the total generation amount that is the total generation amount of each of the first to third particles. That is, since each particle P has the same predetermined lifetime (several seconds), the ratio of the display number of each particle P is proportional to the generation rate of the particle P.

  The birth effect section 322 refers to the determined birth probability data 744 and the attribute / color correspondence table 751 and sets the colors corresponding to the first to third attributes as the colors of the corresponding first to third particles.

  The attribute / color correspondence table 751 is a data table that defines the correspondence between character attributes and colors. FIG. 25 shows an example of the data configuration of the attribute / color correspondence table 751. According to the figure, the attribute / color correspondence table 751 stores character attributes 751a and colors 751b in association with each other.

  Further, the birth effect unit 322 generates, as an occurrence rate of each particle, an initial occurrence rate that is an occurrence rate at the start of the character birth effect, an intermediate occurrence rate that is an occurrence rate at an intermediate time, and an occurrence at the end time. Determine the final occurrence rate as a percentage. Specifically, the initial generation ratio is set to 33% equally for all of the first to third particles. Further, the intermediate generation ratio is determined by using the birth probability of each of the first to third attributes as the intermediate generation ratio of the corresponding first to third particles. The final generation ratio is 90% for the particles corresponding to the character attributes to be born, and 5% for the other particles.

  The determined color and generation ratio of each particle P are stored in the particle data 752. FIG. 26 shows an example of the data structure of the particle data 752. According to the figure, the particle data 752 stores particles 752a, colors 752b, and occurrence ratios 752c in association with each other. There are three types of particles 752a: first to third particles. The generation ratio 752c includes an initial generation ratio, an intermediate generation ratio, and a final generation ratio.

  Subsequently, the birth effect unit 322 generates generation ratio control data 754 for controlling the generation of each particle based on the determined generation ratio of each particle.

  FIG. 27 shows an example of the generation rate control data 754. In the figure, the generation rate of each particle P with respect to time t is shown with time t on the horizontal axis and the generation rate on the vertical axis. According to the figure, the generation ratios of the first to third particles are all 33%, which is the same initial generation ratio at the start time t0 of the character birth effect. And it changes gradually (increase / decrease) so that it becomes the intermediate generation ratio determined at time t1 in the middle of the character birth effect and the final generation ratio determined at end time t2.

  After that, the birth effect unit 322 displays the character birth effect screen displaying the selected egg and each particle on the image display unit 400 as shown in FIG. 3, for example, and outputs a predetermined effect sound. Output from the unit 500. Then, on this character birth effect screen, control of each particle is started in accordance with the total generation number control data 753 and the generated generation ratio control data 754.

  The total generation number control data 753 is data for controlling the total generation number that is the sum of the generation number of each particle. FIG. 28 shows an example of the total generation number control data 753. In the figure, the total number N of occurrences at time t is shown with time t on the horizontal axis and the amount of generation N on the vertical axis. According to the figure, the total number of occurrences N is constant at the total number of occurrences N1 from the start time t0 of the character birth effect to the intermediate time t1, and thereafter reaches the predetermined total number of occurrences N2 at the end time t2. So gradually increase.

  That is, the birth effect unit 322 determines the total number N of occurrences at the current time point from the total generation number control data 753 at predetermined time intervals, and determines the generation ratios of the first to third particles from the generation ratio control data 754. To do. Then, for each of the first to third particles, the generation number is determined by multiplying the total generation number N by the generation ratio of the particles, and control is performed so as to generate the particles P by the determined generation number. Further, the particles P that have reached a predetermined lifetime are extinguished (erased).

  Further, the birth effect section 322 controls the movement of each particle P currently displayed. Specifically, a moving force field acting on the particle P with the egg position as the generation base point (center) is set. This moving force field is set as a positive (+) force field that works to attract the particle P toward the center of the generation base point, or a negative (-) force field that works to keep the particle P away from the generation base point. The And each particle P is moved according to the external force according to the distance with the force field base point given by this moving force field and the initial velocity given to each particle P. Here, for example, when a velocity vector in the direction of rotation about the generation base point of the moving force field is given as the initial velocity, each particle P moves so as to be diffused or attracted while rotating around the egg OB. It will be.

  Then, when a predetermined time elapses for performing the character's birth effect, the birth effect unit 322 terminates the display of the character birth screen, and then displays the character birth screen displaying the character to be born, for example, as shown in FIG. 4 is displayed as shown in the example. In addition, the born character is added to the owned character to update the owned character data 731d, and one selected type of egg is digested to update the owned egg data 731a.

  In FIG. 5, the image generation unit 330 generates a game image for displaying the game screen based on the calculation result by the game calculation unit 310, and outputs an image signal of the generated image to the image display unit 400. Based on the image signal from the image generation unit 330, the image display unit 400 displays the game screen while redrawing the screen of one frame every 1/60 seconds, for example. This function is realized by hardware such as CRT, LCD, ELD, PDP, and HMD. In FIG. 1, the displays 12A and 12B correspond to this.

  The sound generator 340 generates game sounds such as sound effects and BGM used during the game, and outputs a sound signal of the generated game sounds to the sound output unit 500. The sound output unit 500 outputs game sounds such as BGM and sound effects based on the sound signal from the sound generation unit 340. This function is realized by, for example, a speaker. In FIG. 1, the speaker 13 corresponds to this.

  The communication unit 600 performs data communication with an external device such as another portable game machine 1 in accordance with a control signal from the processing unit 300. This function is realized by a wireless communication module, a wired communication cable jack, a control circuit, or the like. In FIG. 1, the wireless communication device 18 corresponds to this.

  The storage unit 700 stores a system program for realizing various functions for causing the processing unit 300 to control the portable game machine 1 in an integrated manner, a program and data necessary for executing the game, and the like. Used as a work area of the processing unit 300, temporarily stores calculation results executed by the processing unit 300 according to various programs, input data input from the operation input unit 100, and the like. This function is realized by, for example, various IC memories, hard disks, CD-ROMs, DVDs, MOs, RAMs, VRAMs, and the like. In FIG. 1, ROM, RAM, and the like mounted on the control device 17 correspond to this.

  In addition, the storage unit 700 stores a game program 710 and game data for causing the processing unit 300 to function as the game calculation unit 310. The game program 710 includes a character birth program 711 for causing the character birth control unit 320 to function. The game data includes input voice data 721, detected scale data 722, rising scale data 723, detection data by pitch name 724, rising data by pitch name 725, owned item data 731 and character setting table. 732, level condition data 733, chord classification table 734, group / attribute correspondence table 735, point setting table 736, scale classification table 737, scale detection total number data 741, chord formation number data 742, point Data 743, determined birth probability data 744, scale classification data 745, birth probability setting table 746, attribute / color correspondence table 751, particle data 752, total occurrence control data 753, and occurrence ratio control data 754 It is included.

[Process flow]
FIG. 29 is a flowchart for explaining the flow of the game processing in the present embodiment. This process is realized by the game calculation unit 310 executing a process according to the game program 710.

  According to the figure, the game calculation unit 310 controls the progress of a known breeding game in accordance with an operation input from the operation input unit 100 (step A1). If the egg is newly acquired (step A3: YES), the acquired egg is added to the owned egg to update the owned egg data 731a (step A5). If a character is born (step A7: YES), the character birth control unit 320 executes a character birth process (step A9).

FIG. 30 is a flowchart for explaining the flow of the character birth process.
According to the figure, the character birth control unit 320 refers to the possessed egg data 731a and causes the image display unit 400 to display an egg selection screen that is a list of a plurality of types of eggs prepared and the number of possessed eggs. With reference to the character setting table 732 corresponding to the selected egg in the egg selection screen, the image display unit 400 displays a character list screen that is a list of characters set in the selected egg. . Then, according to the operation input from the operation input unit 100, the selection of one egg from the possessed eggs is determined (step B1).

  When the selection of the egg is determined, the character birth control unit 320 performs a predetermined countdown display or the like, causes the player to input the melody sound, and stores and stores the sound data input from the sound input unit 200 as the input sound data 721. An input process is performed (step B3). Thereafter, the birth probability determination unit 321 performs a birth probability determination process based on the input voice data 721 (step B5).

FIG. 31 is a flowchart for explaining the flow of birth probability determination processing.
According to the figure, the birth probability determining unit 321 detects each scale within a predetermined octave from the input voice data 721 and sets it as detected scale data 722 (step C1). Next, the detected scale data 722 is filtered (step C3).

FIG. 32 is a flowchart for explaining the flow of the filtering process.
According to the figure, the birth probability determination unit 321 determines the maximum level among the levels of each detected scale based on the detected scale data 722 (step D1). Then, with reference to the level condition data 733, in the detected scale data 722, a scale that does not satisfy a predetermined level condition is not detected (step D3). Next, in the detected scale data 722, the detected scale is determined at each detection time t. When five or more adjacent scales are detected, all the scales at the time t are not detected ( Step D5).

  Next, the birth probability determining unit 321 calculates the total number of detections of each scale in the detected scale data 722, and adds the calculated total number of detections of each scale to calculate the total number of detections of all scales (step D7). Further, in the detected scale data 722, the detected total number of each black key scale is added to calculate the detected total number of all black key scales (step D9).

  Subsequently, the detected scale data 722 is grouped into one octave for each pitch name, and the pitch-specific detection data 724 is generated (step D11). Then, in the generated detection data by pitch 724, the number of types of detected scales is calculated for each detection time t. If the calculated number of types is 7 or more, all scales at the time t are not detected. (Step D13).

Further, the birth probability determination unit 321 determines the rising of each detected scale in the detected scale data 722, and generates rising scale data 723 (step D15). Then, the generated rising scale data 723 is collected into one octave for each pitch name, and the rising data for each pitch name 725 is generated (step D17).
When the above process is performed, the birth probability determination unit 321 ends the filter process.

  In FIG. 31, when the filtering process is completed, the birth probability determining unit 321 refers to the scale detection total number data 741 to determine the total number of detected scales in the detected scale data 722, and if “10” or more (step C5) : YES) Subsequently, a code establishment determination process is executed to determine points of the groups (A) to (D) (step C7).

FIG. 33 is a flowchart for explaining the flow of the code establishment determination process.
According to the figure, the birth probability determination unit 321 determines the formation of chords at each detection time t in the detection data 724 by pitch name, and calculates the number of formations for each type of chord (step E1). Similarly, in the rise data 725 by pitch name, it is determined whether a chord is established at each detection time t, and the number of establishments for each type of chord is calculated (step E3).

Then, for each type of chord, the number of formations in each of the detection data by pitch name 724 and the rising data by name 725 is added to calculate the total number of formations (step E5). Next, for each of the groups (A) to (D) into which the code types are classified, the total number of codes formed in the group is set as the point of the group (step E7).
When the above process is performed, the birth probability determination unit 321 ends the code establishment determination process.

  In FIG. 31, when the code establishment determination process ends, the birth probability determination unit 321 determines each point of the groups (A) to (D), and at least one of the groups (A) to (D). If the point is “5” or more (step C9: YES) and the points of three or more groups are “1” (step C11: YES), the group is selected from the groups (A) to (D). , Three groups with higher points are selected (step C13). Then, the attributes corresponding to the selected groups are set as the first to third attributes in order from the top of the points (step C15), and the birth probabilities of the first to third attributes are based on the points of the selected groups. Is determined (step C17). Further, the birth of the character is determined as “success” (step C19).

  In addition, if the point of at least one of the groups (A) to (D) is “5” or more (step C9: YES), but the number of groups whose points are “1” or more is less than 3. (Step C11: NO), the birth probability determining unit 321 subsequently executes a process when the number of groups is insufficient to determine the attributes and birth probabilities of the first to third attributes (Step C19).

FIG. 34 is a flowchart for explaining the flow of processing when the number of groups is insufficient.
According to the figure, the birth probability determining unit 321 sets the group with the most points among the groups (A) to (F) as the first group and the attribute corresponding to the group as the first attribute ( Step F1).

  Next, the points of each of the groups (A) to (F) are determined, and if there is one group having the point “1” or more among the groups (A) to (F) (step F3: YES), the scale is detected. With reference to the total number data 741, for each of the groups (a) to (f) into which the scale types are classified, the total number of detections in the detected scale data 722 of each scale belonging to the group is calculated (step F5).

  Then, the group with the largest total number of detections is selected from the groups (a) to (f), and it is determined whether or not the attribute corresponding to the selected group matches the first attribute. If the selected group does not match the first attribute (step F7: YES), the selected group is set as the second attribute (step F9). On the other hand, if the selected group matches the first attribute (step F7: NO), the group having the second highest point is selected from the groups (a) to (f), and the attribute corresponding to the selected group is selected. Is the second attribute (step F11).

  In step F3, if there are two groups (A) to (F) whose points are “1” or more (step F3: NO), the points are out of groups (A) to (F). The attribute corresponding to the second largest group is set as the second attribute (step F13).

  Subsequently, the birth probability determining unit 321 refers to the character setting table 732 and the possessed item data 731 corresponding to the selected egg type, and among the attributes of each character set in the selected type egg. The attribute with the smallest ownership rate is determined (step F15). Then, it is determined whether or not the determined attribute matches the first or second attribute, and if it does not match either (step F17: YES), the determined attribute is set as the third attribute (step F21). . On the other hand, if the determined attribute matches the first or second attribute (step F17: NO), after determining the attribute of the character having the next smallest ownership rate (step F19), the process returns to step F17, and similarly, A match with the first or second attribute is determined (step F17).

Then, with reference to the point setting table 736, the birth probabilities of the first to third attributes are determined according to the points of the first group (step F23).
When the above processing is performed, the birth probability determining unit 321 ends the processing when the number of groups is insufficient.

  In FIG. 31, when the process when the number of groups is insufficient is completed, the birth probability determining unit 321 determines that the character is “successful” (step C29).

  Also, if there is no group having points “5” or more among the groups (A) to (D) (step C9: NO), the birth probability determining unit 321 refers to the scale detection total number data 741. Then, the number of types of scales detected in the detected scale data 722 is determined, and if it is less than 2 (step C21: NO), the birth of the character is determined as “failure” (step C31).

  On the other hand, if the number of types of scales is 2 or more (step C21: YES), the point setting table 736 is referred to based on the detected total number of all black key scales in the detected scale data 722 with reference to the scale detection total number data 741. Then, the points of the groups (E) and (F) are determined (step C23). Next, the points of each of the groups (A) to (F) are determined. If the points of three or more groups among the groups (A) to (F) are “1” or more (step C25: YES), the group From (A) to (F), the top three groups are selected (step C27). Then, the attributes corresponding to the selected groups are set as the first to third attributes in order from the top of the points (step C15), and the birth probabilities of the first to third attributes are based on the points of the selected groups. Is determined (step C17). Further, the birth of the character is determined as “success” (step C29).

If the number of groups with points “1” or more among the groups (A) to (F) is less than 3 (step C25: YES), the birth probability determination unit 321 continues when the number of groups is insufficient. Processing is executed to determine the attributes and birth probabilities of the first to third attributes (step C19). Also, the success of the character is determined as “success” (step C29).
When the above process is performed, the birth probability determination unit 321 ends the birth probability determination process.

  In FIG. 30, when the birth probability determination process is completed, the character birth control unit 320 determines whether or not the character has been successfully created. If successful (step B7: YES), the selected egg type and the selected egg type are determined. The character to be born is determined according to the birth probability for each attribute. That is, the character attribute to be born is determined according to the determined birth probability for each attribute. Next, with reference to the character setting table 732 corresponding to the selected egg type, a character that is a character of the determined attribute and is not owned, for example, is a character that gives birth to a randomly selected character (step B9). ). Then, the selected type of egg is digested (decreased) to update the possessed egg data 731a (step B11). Thereafter, the birth effect production unit 322 executes the character birth effect process (step B13).

FIG. 35 is a flowchart for explaining the flow of the character birth effect process.
According to the figure, the birth effect section 322 sets the colors corresponding to the first to third attributes as the colors of the corresponding first to third particles, respectively (step G1).

  Next, the birth effect unit 322 determines the generation ratio of each of the first to third particles. That is, the initial generation ratios of the first to third particles are all set to the same ratio (33%) (step G3). Further, the birth probabilities of the first to third attributes are set as intermediate generation ratios of the corresponding first to third particles, respectively (step G5). Then, among the first to third particles, the final generation rate of particles corresponding to the attribute of the character to be born is set to 90%, and the final generation rate of other particles is set to 5% (step G7). Subsequently, by referring to the particle data 752, generation rate control data 754 is generated according to the generation rates of the first to third particles (step G9).

Thereafter, the birth effect unit 322 causes the image display unit 400 to display a character birth effect screen on which the selected type of egg and each particle are arranged, and this character according to the generated total number control data 753 and the generated generation rate control data 754. Control of each particle on the birth screen is started (step G11). Then, when a predetermined time has elapsed from the display of the character birth effect screen (step G13: YES), the birth effect generation unit 322 ends the display of the character birth effect screen and displays the character birth screen displaying the state of birth of the character to be born. Is displayed on the image display unit 400 (step G15). Further, the born character is added to the owned character to update the owned character data 731d (step G17).
If the above process is performed, the birth effect production | generation part 322 will complete | finish a character birth effect process.

If the birth of the character fails in step B7 of FIG. 30 (step B7: NO), the character birth control unit 320 displays a birth failure screen on the image display unit 400 indicating that, for example, the birth of the character is unsuccessful. Character birth failure effect processing such as displaying or outputting sound from the sound output unit 500 is performed (step B15).
If the above process is performed, the character birth control part 320 will complete | finish a character birth process.

  In FIG. 29, when the character birth process is finished, the game calculation section 310 determines whether or not to finish the game. If not finished (step A11: NO), the process proceeds to step A1, and if finished ( Step A11: YES), the game process is terminated and the game is terminated.

[Action / Effect]
Thus, according to the present embodiment, the establishment of the code is determined from the input voice at each detection time t at a predetermined time interval, and the attributes of the plurality of characters are determined based on the number of formations for each determined code type. The first to third attributes are determined as the attributes of the candidate characters to be born, and the birth probabilities of the first to third attributes are determined. And the character of the attribute determined according to the birth probability among the first to third attributes is born and added to the owned character.

  In other words, because the character corresponding to the type of code included in the input speech is born with probability, even when the same melody is input, the born character differs depending on the time and the player gets bored. I won't let you. Further, the birth probability of each of the first to third attributes is determined by the number of corresponding codes formed. That is, when a lot of specific codes are included, the probability that a character having an attribute associated with the code is born is increased. The chord is a big factor that determines the image of the melody. Accordingly, it is possible to give the player an enjoyment of predicting a character to be born from the input melody image.

[Modification]
It should be noted that embodiments to which the present invention can be applied are not limited to the above-described embodiments, and can be appropriately changed without departing from the spirit of the present invention.

(A) Number of detected black key scales For example, in the above-described embodiment, the points of the groups (E) and (F) are determined according to the ratio of the detected number of all black key scales to the detected number of all scales. Then, the characters “light” and “darkness” corresponding to each of the groups (E) and (F) are further included in the attributes of the birth candidate characters. This is the total number of detected all black key scales. Accordingly, characters having the attributes “light” and “darkness” may be further included in the birth candidate characters. Specifically, for example, when the total number of detected black key scales is equal to or greater than the first predetermined number and less than the second predetermined number, a character having one attribute of “light” or “darkness” is born. If it is included in the candidate character and the number is equal to or greater than the second predetermined number, characters having both the attributes “light” and “darkness” are included in the birth candidate character. However, the first predetermined number <the second predetermined number.

(B) Particle P
In the above-described embodiment, the particles P are in the form of particles. However, for example, other shapes such as a triangle shape, a quadrangular shape, and a line shape may be used. The combined state may be displayed like clouds or smoke.

  Further, the display mode such as the size, shape, and luminance of each particle P may be changed as time passes. However, in this case, since the color of the particle P suggests the corresponding attribute, it is desirable not to change it.

  In the above-described embodiment, the number of each particle P is made variable by generating / disappearing the particle P. However, the particle P is not generated / disappeared, and the total number is kept constant. By changing the color, the ratio of the number of each type of particles P may be varied. Furthermore, although the lifetime of each particle P is made constant, this may be changed by changing the lifetime of each particle P for each type, thereby changing the ratio of the number of particles P of each type.

(C) Scale In the above embodiment, the scale of Western music such as “Doremifasolaside” has been described as an example of the scale. However, the scale may be applied to other scales.

(D) Determination of character to be born In the above-described embodiment, a character selected at random from among the characters corresponding to the attribute determined based on the input voice is born. This selection may be performed based on the date and time (date and time). Specifically, selection probabilities for each time slot in which 24 hours a day are divided into a plurality of time slots (for example, morning, noon, and night) are set for each character. Then, of the selection probabilities set for each character corresponding to the determined attribute, the character to be born is selected according to the selection probability corresponding to the time zone corresponding to the time when the melody voice is input. . Also, instead of the time, set the selection probability for each season that divides 365 days a year into multiple seasons (for example, spring, summer, autumn, and winter), and corresponds to the date on which the melody voice was input You may decide to follow the selection probability to do. According to this, the character to be born is changed according to the date and time when the melody voice is input.

  Alternatively, instead of the selection probability, a time zone and a character may be associated with each other, and a character corresponding to the time zone corresponding to the time when the melody voice is input may be born.

(E) Character Birth Timing In the above-described embodiment, the character is born after the birth effect for displaying the particles P corresponding to the attributes of the birth candidate characters. The character may be born, the character may be born at the same time as the birth effect, or the birth effect may be performed after the character is born (immediately after).

(F) Attribute In the above-described embodiment, the attribute is set in advance for each character as a parameter for classifying each character. For example, the attack power or defense power of each character, or a magic technique that can be activated. It may be a capability parameter.

(G) Game Device to be Applied In the above-described embodiment, the case where the present invention is applied to a portable game machine has been described. However, a game such as a home game device, a business game device, or a mobile phone can be executed The same applies to any apparatus.

(H) Game to be applied Further, in the above-described embodiment, the case where the present invention is applied to the breeding game has been described. However, it is needless to say that the present invention can be similarly applied to other games such as role-playing games.

An appearance example of a portable game machine. An example of (a) egg selection screen and (b) character list screen. An example of a character birth effect screen. An example of a character birth screen. 2 is a functional configuration example of a portable game machine. Data configuration example of owned item data. Data configuration example of character setting table. The data structural example of detected scale data. Data configuration example of level condition data. The figure explaining the silence of the detection time t when five or more continuous scales were detected. Data configuration example of scale detection total number data. Data structure example of rising scale data. The figure explaining the production | generation of the detection data classified by pitch name from detection scale data. The figure explaining the silence of the detection time when seven or more scales were detected. The figure explaining the formation determination of the code in the detection data classified by pitch name. Data configuration example of code formation number data. Data configuration example of code classification table. Data configuration example of point data. 6 is a data configuration example of a group / attribute correspondence table. The data structural example of decision birth probability data. The data structural example of a point setting table. The data structural example of a scale classification table. The data structural example of a scale classification data. The data structural example of a birth probability setting table. 9 is a data configuration example of an attribute / color correspondence table. Data configuration example of particle data. An example of occurrence rate control data. An example of total occurrence control data. Flow chart of game processing. The flowchart of the character birth process performed during a game process. The flowchart of the birth probability determination process performed during a character birth process. The flowchart of the filter process performed during a birth probability determination process. The flowchart of the code formation determination process performed during a birth probability determination process. The flowchart of the process at the time of insufficient number of groups performed during a birth probability determination process. The flowchart of the character birth direction process performed during a character birth process.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Portable game machine 100 Operation input part 200 Sound input part 300 Processing part 310 Game operation part 320 Character birth control part 321 Birth probability determination part 322 Birth production part 330 Image generation part 340 Sound generation part 400 Image display part 500 Sound output part 600 Communication Unit 700 Storage Unit 710 Game Program 711 Character Birth Program 721 Input Voice Data 722 Detection Scale Data 723 Rising Scale Data 724 Pitch Name Detection Data 725 Pitch Name Startup Data 731 Owned Item Data 732 Character Setting Data 733 Level Condition Data 734 Code classification table 735 Group / attribute correspondence table 736 Point setting table 737 Scale classification table 741 Scale detection total number data 742 Code establishment number data 743 Point data 44 determines birth probability data 745 scale classification data 746 birth probability setting table 751 attribute / color correspondence table 752 particle data 753 occurrence total control data 754 generated rate control data

Claims (14)

A program for causing a computer to execute a game in which a new character appears at a given timing,
Each character is associated with one of a plurality of predetermined parameters that can classify each character,
Character determination means for determining a new character,
An effect display control means for performing display control of a state in which an object corresponding to the determined parameter of the character and an object corresponding to another parameter among the objects previously associated with each parameter are mixed,
Appearance control means for causing the determined character to appear,
A program for causing the computer to function as The object previously associated with each parameter is a particle,
The effect display control means functions to change the number of particles corresponding to the determined character parameters and / or the number of particles corresponding to other parameters, and to display and control the appearance of particles mixed in. The program according to claim 1 for causing the program to occur. Causing the computer to function as candidate determination means for determining a predetermined number of appearance candidate characters;
The character determining means determines a character to appear newly from the appearance candidate characters determined by the candidate determining means;
The effect display control means performs display control of the state of mixing of particles corresponding to the parameters of the appearance candidate characters determined by the candidate determination means,
So that the computer functions,
A program according to claim 2 for. Causing the computer to function as probability determining means for determining the appearance probability of each of the characters of the appearance candidates determined by the candidate determining means;
The effect display control means is such that the ratio of the number of each particle corresponding to the parameter of each appearance candidate character determined by the candidate determination means is a ratio according to the appearance probability determined by the probability determination means. And having the appearance probability corresponding number control means for controlling the number of each particle,
A program according to claim 3 for. Causing the computer to function as candidate determination means for determining parameters of a predetermined number of characters as appearance candidates;
The character determining means determines a character to newly appear from the characters corresponding to the parameters determined by the candidate determining means;
The effect display control means controls the display of the state of mixing particles corresponding to each of the parameters determined by the candidate determination means,
So that the computer functions,
A program according to claim 2 for. Causing the computer to function as probability determining means for determining the appearance probability for newly appearing characters corresponding to the parameters determined by the candidate determining means,
The effect display control means is configured so that the ratio of the number of each particle corresponding to each of the parameters determined by the candidate determination means is a ratio according to the appearance probability determined by the probability determination means. Having the number control means corresponding to the appearance probability to control the number, and causing the computer to function,
A program according to claim 5 for.   The number of each particle so that the appearance probability corresponding number control means has a ratio according to the appearance probability determined by the probability determining means when a predetermined time has elapsed from the start of the particle display control by the effect display control means. The program according to claim 4 or 6 for causing the computer to function so as to gradually change the value.   The program according to any one of claims 2 to 7, wherein the effect display control means causes the computer to function so as to variably control the number of particles by controlling the generation amount of each particle.   The program according to any one of claims 2 to 8, wherein the effect display control means causes the computer to function so as to variably control the number of particles by controlling the life of each particle.   In the final stage of a predetermined period predetermined as a period during which the display control unit performs display control of the particles, each of the production display control units so that the number of particles corresponding to the character parameter determined by the character determination unit is maximized. The program according to any one of claims 2 to 9, which causes the computer to function so as to variably control the number of particles.   The program according to any one of claims 2 to 10, wherein the effect display control unit causes the computer to function so as to include a display mode changing unit that changes a display mode of each particle with time. An object placement means for placing a predetermined object in which a new character is born;
Force field setting means for setting a moving force field of particles centered on the arranged object;
Function the computer as
The effect display control means causes the computer to function so as to have particle movement control means for controlling movement of each particle based on the set moving force field,
The appearance control means causes the computer to function so as to perform control for causing the character determined by the character determination means to appear from the arranged objects;
The program as described in any one of Claims 2-11 for.   The computer-readable information storage medium which memorize | stored the program as described in any one of Claims 1-12. A game device that executes a game in which a new character appears at a given timing,
Each character is associated with one of a plurality of predetermined parameters that can classify each character,
Character determination means for determining a new character;
An effect display control means for performing display control of a state in which an object corresponding to the determined parameter of the character and an object corresponding to another parameter among the objects previously associated with each parameter are mixed,
Appearance control means for causing the determined character to appear;
A game device comprising:

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