JP4486051B2 - Karaoke BGM performance system - Google Patents

Description

  The present invention relates to a music piece to be played when performing a BGM (Back Ground Music) performance with the karaoke device in a state where the karaoke device is not reserved for registration of music, that is, in a state where the karaoke performance is paused. The present invention relates to a karaoke BGM performance system that automatically selects music suitable for a season or a specific time.

  Generally, in a karaoke apparatus installed in a restaurant, a requested tune is reserved and registered to start a performance, and a karaoke singer starts singing. This reservation registration is not always continuous, and if there is no reservation registration, the atmosphere in the store is maintained, so that a karaoke piece set arbitrarily in the karaoke apparatus can be selected and a BGM performance can be performed. The present applicant has proposed a karaoke apparatus (for example, Patent Document 1).

In this karaoke device, a BGM music selection list created in the storage unit of the karaoke device is stored, and this BGM music selection list is activated in response to a predetermined operation input from a remote control transmitter, an operation panel or the like. Editing is made possible in. When the main computer determines that there is no reservation registration of the requested song, karaoke song data is acquired from the data storage unit, and the karaoke song is acoustically output as a BGM song.
JP 2000-181469 A

  The music selection in the BGM performance by such a karaoke apparatus is made by a musician's arbitrary judgment from music categories such as enka, pops, and the best 50, and a significant music selection by statistical judgment cannot be made. That is, when a particular piece of music in the past (for example, one year) is being requested and played more frequently than another section, it is difficult to automatically determine that the piece has a sense of season. For example, it is not always appropriate to define a month showing the maximum performance frequency for each song as a month with a sense of season.

  By the way, if it is possible to automatically select and play BGM music that is suitable for the characteristic time of year such as spring, summer, autumn, winter, Christmas season, graduation season, etc., for example, the atmosphere in the store is improved with no sense of trouble. And it does not create a sense of incongruity for visitors. In addition, when a BGM music with a sense of the season is artificially selected, the selection is often made arbitrarily, which may reduce the atmosphere in the store.

  The present invention has been made to solve such a problem, and in selecting BGM music, BGM music having a seasonal feeling suitable for the characteristic time of the year is automatically selected by statistical judgment while eliminating arbitraryness. This is intended to improve the atmosphere of a store or the like that operates a karaoke apparatus.

  Therefore, the present invention calculates the standard deviation of the section unit from the annual total frequency for each piece of music played on the karaoke device and the preset performance frequency of the predetermined section, and based on this, the conversion standard per number of each piece of music is calculated. By further calculating the deviation, the music with a sense of the season is discriminated and extracted, and the relative standard deviation magnification of the section unit is calculated from the performance frequency of each section and the section average frequency and the standard deviation for each extracted music. By determining which section has a higher playing frequency than other sections, a BGM music list is created in which a section from which a section corresponding to that period is extracted is posted in a predetermined period based on the calendar function. By doing so, the above problems were solved.

  That is, the karaoke BGM performance system according to claim 1 of the present invention 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, and a BGM music extraction means. , A system that requires BGM performance means and uses a karaoke device, and the music performance frequency recording means is the performance frequency of each period divided by a predetermined number for each song played on the karaoke device. The music standard deviation recording means is a standard unit of a predetermined section from the annual total frequency for each music recorded in the performance frequency management table and the section average frequency obtained therefrom. The deviation is obtained and recorded in the music standard deviation management table, and the converted standard deviation recording means is based on the standard deviation for each music and the annual total frequency, once per number. An arithmetic standard deviation is obtained and recorded in a converted standard deviation management table. The relative standard deviation magnification recording means is a unit of section from the performance frequency and the average frequency of each section for each piece of music and the standard deviation. Relative standard deviation magnification is obtained and recorded in the relative standard deviation magnification management table. The BGM music extracting means determines the predetermined standard from the converted standard deviation per number and the relative standard deviation magnification of the section unit. Are extracted at the same time, and a BGM music list is created. The BGM playing means discriminates the current section by a calendar function, and the BGM corresponding to the section is appropriately determined based on the BGM music list. It is characterized by being performed according to the instructions.

  According to a second aspect of the present invention, in the first aspect of the present invention, a karaoke host device connected to the karaoke device via a network is used, and in the host device, a music performance frequency recording means, a music standard deviation recording means, The conversion standard deviation recording means and the relative standard deviation magnification recording means are provided.

  According to the present invention, since the BGM music having a sense of the season suitable for the characteristic time of the year is extracted based on the result of the statistical processing and BGM performance is performed, the arbitraryness of the selection of the BGM music is eliminated. Therefore, it is possible to always play a suitable BGM music.

  FIG. 1 is a block diagram showing a basic configuration of a karaoke apparatus for realizing the present invention, in which a CPU (Central Processing Unit) 10 connected to a system bus BUS controls the entire system. The ROM 11 stores control programs and the like, and the RAM 12 can temporarily store the contents of control processing. The commander receiving unit 13 receives the infrared code signal sent from the commander 14, restores it to command data, and transfers it to the system bus BUS.

  The operation unit 15 has various switch functions provided in the apparatus main body, and allows manual settings unique to the karaoke apparatus such as reservation registration, key control, and singing program. The display control unit 16 performs display control for displaying the message processed by the CPU 10 on the monitor 25. The operation unit 15 is usually installed in the commander 14 and can be manually set in the same manner as the apparatus main body.

  The DVD player 26 drives an optical disk and outputs a recorded background video to the display control unit 17 and is controlled by the CPU 10. The communication control unit 18 communicates with a music distribution center (center server) via an information communication network, receives music distribution, and controls transmission / reception of personal data of karaoke singers, music specific data, and the like. An HDD (Hard Disk Driver) 19 stores music data received from the music distribution center, ICM data which is data for executing functions other than karaoke, and various management tables necessary for the present invention.

  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 music progresses with the background video and can be displayed while changing the color of the lyrics. This is displayed on the monitor 25. The sound source 21 forms a musical sound signal from music data received by a MIDI (Musical Instruments Digital Interface) signal, and 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. To do.

  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. The musical sound signal and the sound signal to which the effect is given are converted into a karaoke music signal by the D / A converter 24, amplified by the amplifier 27, and can be played by the acoustic device 28. The singer's audio signal output from the karaoke microphone 1 is amplified by the amplifier 27 and output as audio.

  In the karaoke apparatus configured as described above, the performance frequency of the music is recorded from the necessity of statistical management. The statistical data in this case is stored in the performance management table 12a of the HDD 19 with the performance frequency for each piece of music stored in the karaoke device, for example, transferred to the center server on a monthly basis, or the karaoke device requested music piece. Every time a reservation registration is received, 1 count is transferred.

  An example of the 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 hundreds of thousands of music pieces are 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 three months, and four sections are set in spring, summer, autumn and winter. The section can be arbitrarily set, for example, divided into two.

  FIG. 3 to FIG. 12 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. 3 has many performances in March and April, and the music 010 in FIG. 12 averages throughout the year. In this way, it is possible to extract months with a high performance frequency of a specific music piece by visualizing statistical data with a chart. However, it is not always appropriate to simply define a month having a high performance frequency for each music piece, for example, a month showing the maximum performance frequency as a month with a seasonal feeling. Therefore, in the present invention, it is possible to determine whether or not there is an annual characteristic period of the performance frequency for all the music pieces on the statistical data by the procedure described below.

  The processing procedure is shown below. Actually, the data processing is performed by a computer in the karaoke apparatus or the center server. Therefore, a flowchart showing the processing flow is shown in FIG. The equation is shown in FIG. Further, in this embodiment, data generated according to the processing flow is accumulated in the management table shown in FIG. 15 configured in the RAM 12 of the karaoke apparatus.

  First, in step Sa1 in the process flow shown in FIG. 13, the monthly performance frequency (Xi) is collected for each song. 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. 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 Expression 2 is shown. In this example, the monthly average 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 in FIG. 14 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 in FIG. In this example, the music standard deviation (σ) of music 1 is 647.2, and the music standard deviation (σ) of music 10 is 3.9. The music standard deviation (σ) thus obtained is stored in the music standard deviation management table 12b 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. The 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 stored in the conversion standard deviation management table 12 c of the HDD 19.

  FIG. 16 shows the conversion standard deviation (α) obtained in this way 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 period requested 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, and music 009 and music 010 do not have a characteristic period (seasonal feeling). In step Sa7, an exclusion process is performed. 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 a piece of music having a characteristic period of performance frequency is extracted in step Sa6, the process based on Expression 5 is executed in step 8 to determine in what month the characteristic period occurs. 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. Then, the obtained relative standard deviation magnification (β) is stored in the relative standard deviation magnification management table 12 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. 17 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 when 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 a month exceeding the threshold 1.5 is determined as the characteristic period 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 and stored in the BGM music management table 12e of the HDD 19, so that the BGM music can be played. The BGM music list created in this way can be automatically selected and played sequentially as time passes by the calendar function. In this case, it is possible to automatically determine whether the switch, commander operation or karaoke performance is paused and to play a suitable BGM music.

  As described above, it is possible to extract music frequently requested during a characteristic period of the year by processing data by a computer without performing any artificial processing, and a suitable BGM music adapted to the season can be extracted. The performance becomes possible and the functionality of the karaoke apparatus is improved.

It is a block diagram of the karaoke apparatus which implements 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 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 formula in the data processing of this invention. It is a figure which shows the management table which accumulate | stores the data processed by 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.

Explanation of symbols

1 ... Karaoke microphone 10 ... CPU
11 ... ROM
12... RAM 12
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 25 ... Monitor 26 ... DVD player 27 ... Amplifier 28 ... Sound device 29 ... Input processing unit 30 ... Data processing section

Claims (2)

This is a system using a karaoke device, which requires music performance frequency recording means, music standard deviation recording means, converted standard deviation recording means, relative standard deviation magnification recording means, BGM music extraction means, and BGM performance means. And
(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 for each music played on the karaoke device in the performance frequency management table.
(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 calculates the relative standard deviation magnification of each section from the playing frequency and 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
(E) The BGM music extraction means is for extracting a music that simultaneously satisfies a predetermined standard from the converted standard deviation per number and the relative standard deviation magnification of the section unit, and creating a BGM music list. Yes,
(F) The BGM playing means is a means for determining the current section by a calendar function and playing the BGM corresponding to the section based on the BGM music list according to appropriate instructions.
Karaoke BGM performance system characterized by this.   Using the karaoke host device network-connected to the karaoke device, in the host device, music performance frequency recording means, music standard deviation recording means, converted standard deviation recording means, relative standard deviation magnification recording means, 2. The karaoke BGM performance system according to claim 1, further comprising BGM music extraction means.

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