JPH0322260A - Bgm selecting broadcasting device - Google Patents

Abstract

PURPOSE:To automatically select and broadcast music which is richest in atmosphere corresponding to an environment by detecting the environment where BGM is broadcasted, executing fuzzy inference for the attribute of the music corresponding to this environment, selecting the music closest to the attribute of the inferred music and broadcasting the BGM. CONSTITUTION:A fuzzy inference device 30 executes the fuzzy inference for cheerfulness (y1) of the music to be broadcasted, grade (y2) of the music, quiet ness (y3) of the music and a frequency (y4) to use a stringed instrument corre sponding to a surrounding temperature (x1), brightness (x2), number (x3) of persons, time (x4) and month (x5) with respect to the music. A BGM retrieving means 60 calculates a distance L(i) between attribute data [y1(i)-y4(i)] of a number (i) stored in a BGM attribute data file 50 and data (y1-y4) inferred by the device 30. Then, a number (n) of the music is selected so that the L(i) can be made minimum. Then, the music is broadcasted from speakers 81-8m through a BGM broadcasting means 70.

Description

[Detailed Description of the Invention] Industrial Application Fields The present invention is applied to BGM (Back Ground Music), which automatically selects and broadcasts songs according to the environment.
) Regarding a selective broadcasting device.

BACKGROUND TECHNOLOGY Conventionally, this type of BGM device is equipped with a medium such as a disk or tape on which a plurality of songs are recorded in a predetermined order, and is configured to broadcast a large number of songs in a predetermined order. .

Problems to be Solved by the Invention However, since the conventional BGM device described above broadcasts a large number of songs in a predetermined order, it is only possible to broadcast certain songs, and for example, it is difficult to broadcast songs with a seasonal feel. The problem is that it cannot be done.

SUMMARY OF THE INVENTION In view of the above-mentioned conventional problems, it is an object of the present invention to provide a BGM selection broadcasting device that can automatically select and broadcast the most atmospheric music depending on the environment.

Means for Solving the Problems> In order to achieve the above object, the present invention detects the environment in which BGM is broadcast, performs fuzzy inference on the attributes of a song according to this environment, and uses the fuzzy inferred attributes of the song. The system selects the song closest to the given song and broadcasts it as BGM.

With the above configuration, the present invention performs fuzzy inference on the attributes of songs according to the environment, and selects the song that is closest to the fuzzy inferred song attributes, making it possible, for example, to broadcast songs that have a seasonal feel. Therefore, the most atmospheric song can be automatically selected and broadcast according to the environment.

Embodiments> Hereinafter, embodiments of the present invention will be described with reference to the drawings. 1st
1 is a schematic configuration diagram showing an embodiment of the BGM selection broadcasting device according to the present invention, FIG. 2 is an explanatory diagram showing the fuzzy rule file shown in FIG. 1, and FIG. An explanatory diagram showing the input data of the fuzzy inference device, FIG.
FIG. 5 is an explanatory diagram showing the output data of the fuzzy inference device of FIG. 2 and FIG. 2, and FIG. 5 is an explanatory diagram showing the BGM attribute data file of FIG.

In FIG. 1 and FIG. 2, 11 indicates the temperature (outdoor, indoor, etc.) of the place broadcast by this BGM selection broadcasting device.
The temperature sensor 12 for measuring the detection signal S,) is
Similarly, a brightness sensor is used to measure the brightness of the broadcast location (detection signal S2), 13 is a people counter for counting the number of people at the broadcast location (detection signal Ss), and 14 is a time (detection signal S4). 15 is a calendar clock that measures the calendar month (detection signal Sa); 2;
1 to 25 hold the sample values of each detection signal 81 to Sl, respectively, temperature xi ("C), brightness x2
(IX), number of people Xa (people), time X4 (hour), month x
This is a sample hold means (S/H) for obtaining the variables of the antecedent part of the fuji rule for 5th (month).

In addition, in FIG. 3(a), NLI, NMI, NSI,
ZRI, PSI, PMI, PLI are each temperature
is -30'C, -20''C1-10@Cs 10'
This is a fuzzy label for the case of cs 20″G, 30′ C, and in FIG. 2(b), ZR2, ps2, PM2
, PL2 have brightness x2 of Olx, 2001x, respectively.
, 4001x, 6QQfx, and in FIG. 2(c), ZR3, ps3, PM3,
In PL3, the number of people x3 is O people, 20 people, 40 people,
In Figure 2(d), NS, ZR4, PS4, PM4, and PL are the fuzzy labels for the case of 60 people, respectively. In FIG. 2(e), NM
5, NS5, ZR5, PS5, PM5 are respectively month X
, are the fuzzy labels for January, April, July, October, and January.

Returning to FIGS. 1 and 2, 30 performs fuzzy inference (
If~, then...), for example, song brightness data y1, song extension height data y2, song quietness data V
This is a fuzzy inference device that calculates song attribute data (variables in the consequent part of the fuzzy rule) such as ', the degree of use of stringed instruments in the song y4, etc.

In addition, in FIG. 4(a), ZR5, PS6, PM5,
For PL6, the brightness yl of the song is O, 20, 40, respectively.
In FIG. 4(b), ZR7, PS7, PM7, and PL7 are fuzzy labels when the music extension height y2 is 0, 20, 40, and 60, respectively. In FIG. 4(c), ZR8, P
For S8, PMg, and PL8, the song's quietness y3 is O.
, 20, 40, 60, and in FIG. 4(d), ZR9, PS9, PM9, PL9
The degree of use of stringed instruments in the song y4 is 0, 20, and 40, respectively.
, 60.

The file 40 contains the fuzzy variables X1 to x5 and fuzzy labels of the antecedent part of the fuzzy rule, as shown in FIG. 3, and the fudgy variables y,
~y4 and fuzzy labels are stored in advance.

50 is an attribute table in which attribute data Vl-V4 is set in advance for each song number, and 60 is a song inferred by the fuzzy inference device 30 by searching the table 50. BGM search means for selecting a song number (BGM number n) closest to the attribute data of;
0 selects and plays the song with the BGM number n selected by the BGM search 1000 stages 60, and the BGM speakers 81 and 82
This is a BGM broadcasting means that outputs to ~8m.

Next, the operation of the above embodiment will be explained.

As shown in Figure 2, for example, X+ (temperature) = PSl
(10”), X2 (brightness) = PM2 (4001X
), if X4 (time) = PS4 (6 o'clock) then ri
fJ, the fuzzy inference device 30 is! + (brightness of song) = PL6 (60) r then J. Also xs
(Number of people) = PL3 (60 people), X4 (Time) 1P
If M4 (12 o'clock), Xs (month) = PS5 (October), then 1"ifJ, !+ (brightness of song) = ps6 (
20) Similarly, the fuzzy inference device 30 calculates the ambient temperature (X+), brightness (X2),
Depending on the number of people (x,), time (x4), and month (xr.), r if J, the brightness of the song being broadcast (y1), the height of the tone (yx), the silence (ys), and the use of stringed instruments. degree (y
4), then J.

Next, the BGM search means 60 searches the attribute data of number i ( y+ (
i). y2 (i). ys (i), V4 (1
)> and the data inferred by the fuzzy inference device 30.
Distance L (
1) L(1)=l V+(1)-V+ l+
l yz (1) - Vx + l ya (1)
ysl + l y4(1) ynl is calculated, and the song number n for which the distance L(1) is the minimum is selected.

Therefore, according to the above embodiment, the most atmospheric song can be automatically selected and broadcast according to the ambient temperature, brightness, number of people, time of day, and month.

In the above embodiment, the environment was configured to be detected based on the ambient temperature, brightness, number of people, time of day, and month, but it is of course possible to detect the environment based on other conditions. The attribute data of is also not limited to this embodiment.

Effects of the Invention> As explained above, the present invention detects the environment in which BGM is broadcast, performs fuzzy inference on the attributes of a song according to this environment, and selects a song that is closest to the fuzzy inferred song attributes. Since BGM is selectively broadcast, for example, songs with a seasonal feel can be broadcast, and therefore, the most atmospheric songs can be automatically selected and broadcast according to the environment.

[Brief explanation of drawings]

FIG. 1 is a schematic configuration diagram showing an embodiment of the BGM selection broadcasting device according to the present invention, FIG. 2 is an explanatory diagram showing the fuzzy rule file shown in FIG. 1, and FIG. Figure 4 is an explanatory diagram showing the human data of the fuzzy inference device in Figure 4.
FIG. 5 is an explanatory diagram showing the output data of the fuzzy inference device of FIGS. 1 and 2, and FIG. 5 is an explanatory diagram showing the BGM attribute data file of FIG. 1. 11... Temperature sensor, l2... Brightness sensor, 13
... People sensor, 14 ... Clock, 15 ... Calendar clock, 30 ... Fuzzy inference device, 40 ... Fuzzy rule file, 50 ... BGM attribute data file, 60 ... BGM search Means, 70...BGM broadcasting means, 81-8m...Speaker. 1st rl! J

Claims (1)

[Scope of Claims] Means for detecting an environment in which BGM is broadcast, means for fuzzy inferring the attributes of a song according to the environment detected by the detecting means, and a song closest to the fuzzy inferred song attributes. A BGM selection broadcasting device having means for selecting and broadcasting BGM.