JP4471387B2 - Karaoke music recommendation system - Google Patents

Description

  The present invention automatically determines whether or not the music played karaoke by the karaoke device has a seasonal feeling suitable for the characteristic time of the year, and extracts what is frequently requested at a specific time, The present invention relates to a karaoke song recommendation system that can display song information such as a song name and a song selection code based on a list created in advance in order to recommend singing.

  At present, when singing using a karaoke device installed in a karaoke box or a restaurant, the karaoke device is identified by a developed data processing function, or the karaoke device alone or a network with a plurality of karaoke devices Performances can be collected at a connected karaoke host center. In view of this, a system has been proposed by the applicant of the present application that uses this data processing function to display a list of songs in descending order of the number of performances and facilitates music selection (for example, Patent Document 1).

This system includes a file for each song in a storage unit of a karaoke host center connected to a karaoke device serving as a terminal, and the number of performances is recorded and updated in the song file. Therefore, for example, by extracting the top 20 songs with the highest number of performances for each song category such as Enka, Pops, Duet, etc., and listing them as recommended songs and displaying them on the monitor, a karaoke singer Makes it easy to select karaoke songs.
Japanese Patent Laid-Open No. 11-052965

  However, in the above system, statistics are not taken especially on the concept of “seasonal feeling”. In addition, even when categorizing in the category of “seasonal feeling”, in each section that divides a year by a predetermined number, based on the above technique, a song with a high performance frequency (number of performances) is simply It does not always have a feeling. That is, for example, a popular song having a high performance frequency in all sections throughout the year is extracted as a high-order song in the performance frequency in each section, but it cannot be said that this music has a sense of season. Therefore, there has been no system that encourages karaoke users to sing a song with a seasonal music list for each predetermined section of the year (every time) and encourages singing. .

  By the way, when creating such a recommended song list, songs that are appropriate for the characteristic time of year such as spring, summer, autumn and winter, Christmas season, graduation season, etc. are automatically selected and the recommended song list appropriate for the time is displayed. If possible, in other words, karaoke users will be encouraged to sing if they can recommend a song with a sense of the season appropriate to the time of the year divided into a predetermined number of years, such as by season or by month. it can. Furthermore, even if it is a song with a sense of the season, it may differ from individual to individual, so if you recommend a song with a sense of the season that corresponds to each user, it will also motivate each user to sing Become.

  Therefore, the present invention extracts tunes with a sense of the season, displays the tune information corresponding to the time of the month, evokes the karaoke user's singing desire, and further, sense of the season corresponding to each user It is an object to provide a system capable of motivating singing to each user by recommending a certain piece of music corresponding to the time.

  In view of the above problems, the present inventors automatically create a recommended song list with a seasonal feeling suitable for a characteristic time of year by statistical judgment using standard deviation, and at predetermined times such as seasonal feeling and monthly. The inventors have come up with an invention for displaying recommended music information. In more detail, the standard deviation of the section unit is calculated from the total frequency of each song played on the karaoke device and the average frequency of the preset section, and based on this, the standard deviation per number of each song is calculated. Further, by calculating and discriminating and extracting music with a sense of the season, the relative standard deviation magnification of each section is obtained from the performance frequency of each section and the section average frequency and standard deviation of the extracted music. Then, it is determined which section has a higher playing frequency than other sections, and based on the calendar function, a system for displaying recommended music information extracted for each section has found the above-mentioned problems and conceived the present invention. .

  That is, the karaoke music recommendation system according to claim 1 includes a music performance frequency recording means, a music standard deviation recording means, a converted standard deviation recording means, a relative standard deviation magnification recording means, a recommended music extraction means, and a recommended music. It is a system that requires display means and uses a karaoke device, and the music performance frequency recording means is the performance frequency of each section obtained by dividing a year by a predetermined number for each piece of music played by the karaoke device. The music standard deviation recording means records the annual total frequency for each song recorded in the performance frequency management table and the standard deviation in units of a predetermined interval from the average frequency calculated from the frequency average table. Is calculated and recorded in the music standard deviation management table. The conversion standard deviation recording means is a conversion per number from the standard deviation for each music and the annual total frequency. A quasi-deviation is obtained and recorded in the converted standard deviation management table. The relative standard deviation magnification recording means is a relative standard for each section from the performance frequency of each section and the section average frequency and standard deviation for each piece of music. Deviation magnification is obtained and recorded in the relative standard deviation magnification management table, and the recommended music extraction means includes the value of the converted standard deviation per number and the value of the relative standard deviation magnification of the section unit, respectively. The recommended music list is created by extracting music that satisfies the predetermined reference value at the same time. The recommended music display means discriminates the current section by a calendar function and is based on the recommended music list corresponding to the section. The music information is displayed at an appropriate timing.

  A karaoke music recommendation system according to claim 2 is a user ID acquisition means, music performance frequency recording means, music standard deviation recording means, converted standard deviation recording means, relative standard deviation magnification recording means, and recommended music extraction. And a recommended tune display means, and a system using a karaoke device, wherein the user ID acquisition means is a means for acquiring a user ID and identifying a user, and a music performance frequency recording means. Is to record the performance frequency of each piece of music played on the karaoke device for the user specified by the user ID in the performance frequency management table. The standard deviation of a predetermined section unit is obtained from the total frequency of each song recorded in the frequency management table and the average frequency of the section obtained therefrom, and is recorded in the music standard deviation management table. The converted standard deviation recording means obtains the converted standard deviation per number from the standard deviation for each song and the total frequency of the year, and records it in the converted standard deviation management table. Is to obtain the relative standard deviation magnification of each section from the performance frequency and the average frequency of each section for each piece of music and the standard deviation, and record it in the relative standard deviation magnification management table. Is to extract a song that satisfies a predetermined reference value simultaneously from the value of the converted standard deviation per number and the value of the relative standard deviation magnification of the section unit, and creates a recommended song list, which is recommended. The music display means, when an arbitrary user is specified by the user ID acquisition means, the current section is determined by a calendar function, and the recommendation corresponding to the section It is characterized in that to display the music information based on the music list at appropriate timing.

  The karaoke music recommendation system according to claim 3 uses the karaoke host center network-connected to the karaoke apparatus in the invention according to claim 1 or claim 2, and the music performance frequency recording means is provided in the karaoke host center. It is provided.

  According to the first aspect of the invention, the recommended music list is automatically created based on the result of statistical processing using the standard deviation, and is displayed in correspondence with the time of day. It is possible to arouse the singing motivation of the karaoke user with the recommended music information having a seasonal feeling suitable for the time. In addition, according to the invention of claim 2, since a song with a sense of the season may be different for each individual, a song with a sense of the season corresponding to each user can be recommended corresponding to the time. , Motivation of singing to each user can be performed at each time. Furthermore, according to the invention described in claim 3, in particular, using the communication karaoke network, performance frequency can be collected from a large number of karaoke devices installed in a wide range connected to the karaoke host center, and the result of statistical processing is obtained. Since it can be paraphrased to any karaoke apparatus, a wide range of services are possible. Moreover, if this is made to correspond to the invention of Claim 2, there exists an effect that a user can enjoy the same service in any karaoke apparatus installed in a wide range.

  FIG. 1 shows a karaoke device for realizing the system of the present invention. An auxiliary terminal device 1 transmits / receives data to / from the karaoke device main body 2 by a wireless LAN, IR (infrared ray), wired or the like. Do with. The karaoke apparatus main body 2 accepts reservation registration of music selection, plays reserved music, displays lyrics telop, synthesizes performance music and singing voice, or various processes including processing of the present invention. And receiving the music distribution from the karaoke host operator (music distribution / data collection / processing center) 30 of the karaoke system operator via the information communication network N shown in FIG. Or, it manages the transmission and reception of personal data of karaoke singers and unique data of music.

  The karaoke apparatus body 2 is connected to a DVD player (usually built in the karaoke apparatus body) 3, a monitor 4, and an amplifier unit 5. A background image is displayed, and a reproduction signal of karaoke music is sent to the amplifier unit 5 in synchronization with the display of the lyrics video so that a performance sound can be obtained from the speaker systems 6 and 7. Microphones 8 and 9 are connected to the amplifier unit 5, and a karaoke singer performs karaoke singing using the microphones 8 and 9.

  FIG. 2 is a block diagram showing a specific configuration of the karaoke system configured as described above, and a CPU (Central Processing Unit) 10 connected to the system bus B1 controls the entire system. The ROM 11 stores a control program and the like, and the RAM 12 temporarily stores the contents of control processing. The commander receiving unit 13 receives an infrared code signal transmitted from the commander (music selection remote control device) 14 or the auxiliary terminal device 1, restores command data, and transfers the command data to the system bus B1.

  The operation unit 15 is a variety of switches provided on the front panel of the karaoke device main body 2 and allows manual setting of functions unique to the karaoke device such as reservation music selection, key control, and singing program. The display control unit 16 performs display control for displaying the current setting state and various messages on the display unit 2a (see FIG. 1) of the karaoke apparatus main body 2.

  The DVD player 3 drives an optical disk and outputs a recorded background image to the display control unit 17 and is controlled by the CPU 10. The communication control unit 18 performs control for exchanging information with the karaoke host center 30 via the information communication network N. An HDD (Hard Disk Drive Unit) 19 stores music data received from the karaoke host center 30 (see FIG. 3) and ICM data which is data for executing functions other than karaoke performance. The HDD 19 includes various management tables that execute data processing according to the present invention and store the processing results.

  The character pattern development unit 20 inputs the lyrics data of the designated music and outputs it to the display control unit 17 so that the lyrics can be displayed while changing the color as the music progresses along with the background video. And display this on the monitor 4. The sound source 21 forms a musical sound signal from music data received by a MIDI (Musical Instrument Digital Interface) signal or the like. On the other hand, the audio data processing unit 22 reproduces an audio signal such as a back chorus based on the audio data included in the music data.

  The tone signal formed by the sound source 21 and the tone signal reproduced by the tone data processing unit 22 are input to a DSP (Digital Sound Processor) 23, and effects such as reverberation and echo are given to these tone signal and tone signal. To do. In addition, the kind and grade of the effect which DSP23 provides are determined based on DSP control data contained in music data. The musical sound signal and the sound signal to which the effect is given are converted into an analog signal so that the karaoke performance can be performed by the D / A converter 24, and output to the amplifier unit 5. The amplifier unit 5 inputs the singing voice signal from the microphones 8 and 9 simultaneously, mixes and amplifies the singing voice signal and the karaoke music signal, and drives the speaker systems 6 and 7.

  Next, the configuration of the auxiliary terminal device 1 will be described. The auxiliary terminal device 1 includes a card data reading unit 1c having a user ID acquisition function, a GUI (Graphical User Interface) 1a configured integrally by laminating a liquid crystal display and a touch sensor, and the like. The card data reading unit 1c is configured to be able to read the recorded contents of the user ID card C (non-contact IC card) shown in FIG. 1, and the GUI 1a displays a work menu by a touch panel type input operation. It can be selected.

  Each component of the auxiliary terminal device 1 is connected to the system bus B2 as shown in FIG. 2, and the CPU 1b performs processing such as display control of the GUI 1a and data reading control of the card data reading unit 1c. The system buses B1 and B2 are connected by a cable so that the processing contents in the karaoke device main body 2, for example, the lyrics data of the karaoke music piece being played can be displayed on the GUI 1a. According to the input instruction, for example, it is possible to display a table of contents of music stored in the karaoke apparatus body 2 or to search for music. Also, the content input to the auxiliary terminal device 1 shown in FIG. 3 is transferred to the karaoke device main body 2 and transmitted to the karaoke host center 30 via the information communication network N, or the data from the karaoke host center 30 is karaoke. It can be received via the apparatus main body 2.

  FIG. 3 shows an outline of the network constructed to enable the above-described information communication. The karaoke apparatus main body 2 installed in a plurality of stores S (S, S...) Is a karaoke host center. 30 through an information communication network N. The karaoke host center 30 includes a user database DB2 in addition to a music database DB1 that stores a large amount of music. In the music database DB1, in addition to the music data, performance frequency data for each music accompanied by the performance date and time collected from each karaoke device is aggregated.

  The user database DB2 of the karaoke host center 30 is user information registered with a business operator operating the karaoke system, and includes basic data such as name, age, address, and telephone number associated with each user ID. In addition, data such as the user's singing history and scoring results are stored. Therefore, by accessing the databases DB1 and DB2 constructed in this way from the store S, it is possible to acquire necessary data upon request.

  That is, when a registered user enters the store S and sets his / her user card C in the card data reading unit 1c of the auxiliary terminal device 1, the auxiliary terminal device 1 is information indicating that the registered user has entered the store. Is input to the input control unit 30a of the karaoke host center 30 via the information communication network N. The input control unit 30a accesses the user database DB2 with the input user ID, accesses the data of the corresponding user member, and extracts the extracted user data from the output control unit 30c via the information communication network N. Transfer to store S. Thereby, the user ID of the registered user who has logged into the system can be acquired, and the registered user who has logged in can be specified.

  Next, an outline of statistical processing executed in the present invention will be described. This statistical processing can be executed in the karaoke host center 30, but in this embodiment, an example in which a management table is configured in the HDD 19 and data processing is executed in the karaoke apparatus will be described.

  Usually, in the karaoke apparatus and the karaoke host center 30 installed in the store, the performance frequency of the music is recorded from the necessity of statistical management. The statistical data in this case is stored in the karaoke device by storing the performance frequency of each piece of music in the performance frequency management table 19a of the HDD 19 shown in FIG. 5, and transferred to the karaoke host center 30 on a monthly basis, 1 count may be transferred each time the requested music is played.

  An example of statistical data collected in this way is shown in FIG. The figure is a statistical table in which performance frequencies of a plurality of music pieces are tabulated for each section (monthly) and displayed as a list in units of period (yearly). In the figure, specific music pieces 001 to 010 are illustrated in the A column, but in actuality, statistical data of millions of music pieces is obtained. In this statistical table, the total results from March to February are shown for each song, and the monthly performance frequency (Xi: i = 1 to 12) is shown at the top of the row in the B column of each song. In the example, the monthly performance frequency (X3) in March of music 001 is 1900 degrees, and the monthly performance frequency (X2) in February of the following year is 183 degrees. In the present embodiment, the section is set by dividing the year into 12 sections every month. However, the present invention is not limited to this. For example, the section is set in units of 3 months, and 4 sections of spring, summer, autumn and winter are set. The section setting can be arbitrarily performed, such as classification.

  FIG. 6 to FIG. 15 show the monthly performance frequency of each music piece from March to February of the following year shown in the statistical table of FIG. In the figure, for example, the music 001 in FIG. 6 has many performances in March and April, and the music 010 in FIG. 15 is averaged throughout the year. In this way, by visualizing statistical data with a chart, it is possible to extract a piece of music with a covering month that is clearly covered by a person's judgment and has a performance frequency. By the way, when automating this, it is not always appropriate to simply define a month having a high performance frequency for each musical piece, for example, a month showing the maximum performance frequency as a month with a seasonal feeling. Therefore, in the present invention, the year is divided into a predetermined number of sections for all songs on the statistical data according to the procedure described below, and the standard deviation based on the performance frequency of each section is calculated, and the performance frequency is calculated using this. A song with a lot of months can be automatically extracted.

  The processing procedure will be described based on the flowchart shown in FIG. Note that FIG. 17 shows processing arithmetic expressions employed at each stage of data processing. In this embodiment, data generated according to the processing flow is accumulated and stored in the management tables 19a to 19e shown in FIG. 5 configured in the HDD 19 of the karaoke apparatus.

  First, in step Sa1 in the processing flow shown in FIG. 16, the monthly performance frequency (Xi) for each piece of music is collected. Next, the process proceeds to step Sa2, and the total performance frequency from March to February of the following year is processed based on Equation 1 shown in FIG. 17, and the obtained annual total frequency (Xg) is calculated as C in the statistical table of FIG. Shown in the column. In this example, the total frequency (Xg) of the music 001 is 6295 degrees, and the total frequency (Xg) of the music 010 is 1152 degrees. In the D column of the statistical table, the monthly average frequency (Xav) calculated by the processing based on Equation 2 is shown. In this example, the monthly lithographic frequency (Xav) of the music 001 is 524.6 degrees, The average monthly frequency (Xav) is 96.0 degrees.

  Since the annual total frequency (Xg) and the monthly average frequency (Xav) are obtained in this way, a standard deviation indicating the degree of bias in the performance frequency can be derived. Equation 3 shown in FIG. 17 corresponds to a definition equation for obtaining the standard deviation, and the value calculated by the processing based on Equation 3 is shown in column E of the statistical table of FIG. In this example, the music standard deviation (σ) of the music 001 is 647.2, and the music standard deviation (σ) of the music 010 is 3.9. The music standard deviation (σ) thus obtained is stored and stored in the music standard deviation management table 19b of the HDD 19.

  Since the music standard deviation (σ) calculated as described above indicates the degree of data variation, a significant relative and objective judgment cannot be made from this numerical value. For example, the music 005 has a total frequency (Xg) of 7952 degrees and a standard music deviation (σ) of 500.7, which is lower than the standard music deviation (σ) of music 001 whose total frequency (Xg) is 6295 degrees. Since it is a value, it is difficult to make an unambiguous judgment. That is, the music standard deviation (σ) of each music greatly depends on the annual frequency (Xg) (for example, even if the performance tendency is the same, if the annual frequency is 10 times for each music, Therefore, the presence or absence of a characteristic period cannot be determined at this point only by the magnitude.

  Therefore, in the present invention, the processing based on the expression 4 is performed in step Sa5, and the standard deviation per performance, that is, the converted standard deviation (α) is calculated. This converted standard deviation (α) is a value obtained by dividing the music standard deviation (σ) by the annual total frequency (Xg), and the numerical value is shown in the F column of the statistical table of FIG. Then, the calculated conversion standard deviation (α) is accumulated and stored in the conversion standard deviation management table 19 c of the HDD 19.

  FIG. 18 shows the conversion standard deviation (α) thus obtained as a chart. As is clear from the figure, the converted standard deviation (α) of the music 009 and the music 010 is extremely low, and from this, it is determined that the performance frequency of each month is averaged as shown in FIGS. be able to. That is, when the value of the converted standard deviation (α) is large, it indicates that the music has a characteristic time requested concentrated at a specific time of the year.

  Therefore, a threshold value is set for the converted standard deviation (α), and music pieces whose converted standard deviation (α) is equal to or greater than the threshold value are extracted in step Sa6. In the example shown in step Sa6, the threshold is set to 0.05, and music 001 to music 008 exceeding this threshold 0.05 are extracted, while music 009 and music 010 that do not exceed the characteristic period (seasonal feeling). ) Does not exist, and is excluded in step Sa7. Therefore, for example, when the threshold is changed to 0.08 instead of 0.05, the extracted music is music 001 to music 004 and music 008. That is, the number of music pieces to be extracted is determined depending on the threshold value, and the number of music pieces to be extracted decreases as the threshold value is increased.

  As described above, when the musical piece having the characteristic time of the performance frequency is extracted in step Sa6, the process based on Expression 5 is executed in step Sa8, and it is determined in which month the characteristic time is generated. That is, the calculation of Equation 5 is obtained by subtracting the monthly average frequency (Xav) from the monthly performance frequency (Xi) and dividing the result by the music standard deviation (σ), and the relative standard deviation magnification (β) Call. The relative standard deviation magnification (β) of each of the music pieces 001 to 010 is shown in the lower part of each row in the column B of the statistical table of FIG. The obtained relative standard deviation magnification (β) is accumulated and stored in the relative standard deviation magnification management table 19 d of the HDD 19.

  When the relative standard deviation magnification (β) is obtained in this way, for example, the music 001 can be charted as shown in FIG. 19 and the music 010 can be charted as shown in FIG. It can be mechanically determined that requests are concentrated in the month. Incidentally, even if the threshold value of the converted standard deviation (α) is set to 0.001 and the music piece 010 is not excluded, the music piece 010 is averaged over the year and has no characteristic period. it can.

  Therefore, in the present invention, a threshold value is set for the relative standard deviation magnification (β), and the months in which the relative standard deviation magnification (β) is equal to or greater than the threshold are extracted in step Sa9, and any month is played from other months. It is possible to determine whether the frequency is prominent. In the example shown in step Sa9, the threshold is set to 1.5, and the month exceeding this threshold 1.5 is determined as the characteristic time of the music. Therefore, if this threshold is set to be large, there is a music piece that cannot be extracted, and this music piece is excluded in step Sa10.

  On the other hand, the extracted music is listed in step Sa11, stored in the recommended music management table 19e of the HDD 19, and can be displayed in a list on the recommended music monitor 4 and / or the auxiliary terminal device 1. The recommended song list created in this way is automatically selected and updated sequentially as time passes by the calendar function. ), It is possible to automatically determine whether the switch operation, command operation, or karaoke performance is paused, and display the recommended music list.

  FIG. 21 shows an example of the recommended music list created. As shown in the figure, for example, when a song frequently sung in a characteristic time such as summer is displayed, a karaoke singer The selection of karaoke music is facilitated, and the willingness to sing is aroused. The music on the screen on which the recommended music list is displayed can be specified, and the karaoke performance can be started immediately.

  The above shows an example in which the statistical target is based on the performance frequency of the entire system regardless of the user ID, and statistical processing is performed over a wide range. As described above, the user database DB2 (see FIG. 3) of the karaoke host center 30 stores and stores performance histories of karaoke songs sung by registered users, and the performance frequency for each user ID. The above statistical processing can be performed.

  Here, the method of collecting the performance history for each user will be described in detail. As described above, the auxiliary terminal device 1 is provided with the GUI 1a, which is a user interface for instructing login and logout with a user ID. FIG. 22 shows an example of the GUI 1a. This display screen includes an icon row with a face photo for each user, a “login” button for logging in for each user, and a “logout” for logging out in the same manner. "Button is provided. First, the user selects the “login” button, and then loads his / her IC card into the attached card data reading unit 1c (see FIG. 2), thereby recognizing the user ID associated therewith. At the same time, login is acquired. Then, the user's face photo registered in advance in the karaoke host center 30 or, if not registered in advance, the user's face photo taken using the attached digital camera function is newly registered for predetermined use. A person-specific face-attached icon 1a-1 is created. Then, for example, if the user selects his / her face photo icon 1a-1 and then performs a music selection operation, the performance history is recorded in association with the user ID after the music is played. The

  FIG. 23 shows an example of statistical data collected based on the singing history of the user database DB2 (see FIG. 3). A user ID is set in the G column, the name of the user linked in advance to the user ID is written in the H column, and individual statistical data is recorded. As described above, the A column to the F column are calculated in the same manner as those regardless of the user ID, and statistical processing similar to the processing procedure shown in FIG. 16 is executed for each individual. That is, the conversion standard deviation (α) and the relative standard deviation magnification (β) are calculated, and the recommended music list for personal use is created by performing similar statistical processing on a threshold value set in advance for each individual or for each user. The As shown in FIG. 24, the music information is also written with the user name described in the column H, and displayed on the monitor 4 and / or the GUI 1a of the auxiliary terminal device at an appropriate timing. It should be noted that the appropriate timing of the present invention refers to the time between music performances, when the user instructs to display recommended music, when there is no reservation operation for a certain period of time, or when the user ID is acquired. .

  As a result, it is possible to confirm what kind of karaoke song is frequently sung by the karaoke singer at a characteristic time of the year, which facilitates selection of music and arouses singing motivation. In addition, it is possible to grasp karaoke songs that are frequently sung unconsciously at a specific time of the year, and to improve the amusement effect of the karaoke apparatus.

It is a figure which shows the outline | summary of the karaoke apparatus which implements this invention. It is a block diagram of the karaoke apparatus which implements this invention. It is a figure which shows the outline | summary of the system of this invention. It is a statistical diagram which shows the example of the statistical data utilized by this invention. It is a figure which shows the management table which accumulate | stores the data processed by this invention. It is a figure which shows the example which represented a part of statistical data of FIG. It is a figure which shows the example which represented a part of statistical data of FIG. It is a figure which shows the example which represented a part of statistical data of FIG. It is a figure which shows the example which represented a part of statistical data of FIG. It is a figure which shows the example which represented a part of statistical data of FIG. It is a figure which shows the example which represented a part of statistical data of FIG. It is a figure which shows the example which represented a part of statistical data of FIG. It is a figure which shows the example which represented a part of statistical data of FIG. It is a figure which shows the example which represented a part of statistical data of FIG. It is a figure which shows the example which represented a part of statistical data of FIG. It is a flowchart figure which shows the flow of a process of this invention. It is a figure which shows the arithmetic expression in the data processing of this invention. It is a graph which shows the conversion standard deviation calculated | required by this invention. It is a chart which shows the example of the relative standard deviation magnification calculated | required by this invention. It is a chart which shows the example of the relative standard deviation magnification calculated | required by this invention. It is a figure which shows the example of a display of the recommendation music list produced by this invention. It is a display example of GUI accompanying the auxiliary terminal device of the present invention. It is a statistical diagram which shows the diameter of the statistical data classified by user utilized by this invention. It is an example of a display of the recommendation music list according to user created by the present invention.

Explanation of symbols

1. Auxiliary terminal device 1a ... GUI
1b ... CPU
1c: Card data reading unit 2 .... Karaoke machine body 3 .... DVD player 4 .... Monitor 5 .... Amplifier unit 6.7. ... Speaker system 8, 9 ... Microphone 10 ... CPU
11 ... ROM
12 ... RAM
13. Commander receiving unit 14 ... Commander 15 ... Operation unit 16 ... Display control unit 17 ... Display control unit 18 ... Communication control Part 19: HDD
20... Character pattern development unit 21... Sound source 22... Voice data processing unit 23.
24 ... D / A converter 30 ... Karaoke host center C ... User card N ... Information and communication network S ... Store

Claims (3)

Music performance frequency recording means, music standard deviation recording means, converted standard deviation recording means, relative standard deviation magnification recording means, recommended music extraction means, recommended music display means, and a system using a karaoke device There,
(A) The music performance frequency recording means is for recording the performance frequency of each section obtained by dividing a year by a predetermined number in the performance frequency management table for each music played on the karaoke device,
(A) The music standard deviation recording means is a music standard deviation management table for obtaining a standard deviation of a predetermined section unit from an annual total frequency recorded for each piece of music recorded in the performance frequency management table and a section average frequency obtained therefrom. To record,
(C) The conversion standard deviation recording means obtains the conversion standard deviation per number from the standard deviation for each song and the total frequency of the year, and records it in the conversion standard deviation management table.
(D) Relative standard deviation magnification recording means obtains a relative standard deviation magnification for each section from the performance frequency of each section for each piece of music and the average average frequency and standard deviation, and records them in the relative standard deviation magnification management table. Is,
(E) The recommended music extraction means extracts music that simultaneously satisfies a predetermined reference value from the value of the converted standard deviation per number and the value of the relative standard deviation magnification of the section unit, and the recommended music list Is to create
(F) The recommended music display means determines the current section according to the passage of time by the calendar function, and displays the music information based on the recommended music list corresponding to the section at an appropriate timing.
Karaoke music recommendation system characterized by User ID acquisition means, music performance frequency recording means, music standard deviation recording means, conversion standard deviation recording means, relative standard deviation magnification recording means, recommended music extraction means, and recommended music display means are required, A system using karaoke equipment,
(A) User ID acquisition means is to acquire a user ID and identify a user,
(A) The music performance frequency recording means records the performance frequency of each music played on the karaoke device for the user specified by the user ID in the performance frequency management table. ) The music standard deviation recording means obtains the standard deviation of a predetermined section unit from the annual total frequency for each music recorded in the performance frequency management table and the average frequency of the section obtained therefrom, and records it in the music standard deviation management table Is what
(D) The conversion standard deviation recording means is to obtain the conversion standard deviation per number from the standard deviation for each music piece and the annual total frequency, and record it in the conversion standard deviation management table.
(E) Relative standard deviation magnification recording means calculates the relative standard deviation magnification of each section from the performance frequency and the average frequency of each section for each piece of music and the standard deviation, and records them in the relative standard deviation magnification management table Is what
(F) The recommended music extraction means extracts music that simultaneously satisfies a predetermined reference value from the value of the converted standard deviation per number and the value of the relative standard deviation magnification of the section unit, and the recommended music list Is to create
(G) The recommended music display means, when an arbitrary user is specified by the user ID acquisition means, discriminates the current section according to the passage of time by the calendar function, and the recommended music corresponding to the section The music information based on the list is displayed at an appropriate timing.
Karaoke music recommendation system characterized by that.   The karaoke music recommendation system according to claim 1 or 2, wherein a karaoke host center is provided with a music performance frequency recording means using a karaoke host center connected to the karaoke device via a network. .

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