Music revenue distribution apparatus and music revenue distribution program

Abstract

To provide a technique for appropriately distributing revenue from finished music.SOLUTION: A music revenue distribution apparatus 100 comprises a similarity calculation unit 80 and a distribution rate determination unit 90. A similarity calculating unit 80 calculates a similarity between a finished music piece including a target track, which is an object of revenue distribution to a producer, and a comparison music piece not including the target track among the finished music pieces. A distribution rate determining unit 90 determines a distribution rate that is a ratio of the revenue distribution to the producers of the target tracks to the revenue generated in the finished music, based on the similarity. The distribution rate determining unit 90 increases the distribution rate to the producer as the degree of similarity is lower.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to a music revenue sharing technique. [Background technology]

[0002] In music production, it is common to overdub multiple tracks to create one completed song. The profits generated from a completed song produced in this way are sometimes distributed to the producers of each track. The percentage of the profits to be distributed to each producer is decided through negotiation between the producers and other parties, but there are no clear standards for how the distribution percentage should be determined, making it difficult to distribute the profits appropriately. In particular, in recent years, it has become possible for people who do not know each other in person to be producers of multiple tracks included in one completed song via the Internet, and there is a demand for a rational distribution of profits.

[0003] Patent document 1 describes that when two or more participants join together in content production, the contributions of these participants (e.g., lyricist, composer, etc.) are quantified and revenues are distributed according to the contributions. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Special Publication No. 2015-521330 Summary of the Invention [Problem to be solved by the invention]

[0005] Patent Document 1 describes an analysis of the contribution of each collaborator based on the amount of composition work that each collaborator did for the composition content. However, the amount of composition work does not necessarily indicate the contribution of each collaborator to the finished music piece, and there is room for improvement.

[0006] The present invention has been made in light of these circumstances, and has as its object to provide a technique for appropriately distributing revenue from completed music. [Means for solving the problem]

[0007] In order to solve the above problems, a music revenue distribution device according to one aspect of the present invention includes a similarity calculation unit that calculates a similarity between a completed music piece including a target track that is the subject of revenue distribution to a producer and a comparison music piece that does not include the target track among the completed music pieces, and a distribution rate determination unit that determines a distribution rate, which is a ratio of revenue distribution to the producer of the target track to revenue generated from the completed music, based on the similarity. The distribution rate determination unit increases the distribution rate to the producer as the similarity decreases.

[0008] Another aspect of the present invention is a song revenue sharing program for causing a computer to execute the steps of: calculating a similarity between a completed song including a target track that is the subject of revenue distribution to a producer and a comparison song that does not include the target track among the completed songs; and determining a distribution rate, which is a ratio of revenue distribution to the producer of the target track to revenue generated for the completed song, based on the similarity, the distribution rate being set higher as the similarity decreases.

[0009] Any combination of the above components, and any transformation of the present invention into a method, device, system, recording medium, computer program, etc., are also effective as aspects of the present invention. Effect of the Invention

[0010] According to the present invention, a technique for appropriately distributing revenue from a completed song can be provided. [Brief description of the drawings]

[0011] [Figure 1] 1 is a block diagram showing a schematic configuration of a music revenue distribution device according to an embodiment of the present invention. [Diagram 2]2 is a conceptual diagram showing an example of a flow of music generation using the music revenue distribution device of FIG. 1. [Diagram 3] FIG. 2 is a conceptual diagram showing an example of the data structure of a completed piece of music and a comparison piece of music. [Figure 4] FIG. 13 is a diagram showing an example of evaluation values ​​at multiple timings during playback of a completed musical piece and each track contained in the completed musical piece. [Diagram 5] 2 is a diagram showing an example of the similarity between a completed musical piece and a comparison musical piece calculated by a similarity calculation section in FIG. 1. [Figure 6] 2 is a flowchart showing an example of a procedure for music revenue distribution processing by the music revenue distribution device of FIG. 1. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. Specific numerical values ​​and the like shown in the embodiment are merely examples for facilitating understanding of the invention, and do not limit the present invention unless otherwise specified. In the drawings, elements that are not directly related to the present invention are omitted.

[0013] FIG. 1 is a block diagram showing a schematic configuration of a music revenue distribution device 100 according to the present embodiment. As shown in FIG. 1, a producer terminal 200 and a listener terminal 220 are connected to the music revenue distribution device 100 via a network. Although FIG. 1 shows one producer terminal 200 and one listener terminal 220, a plurality of producer terminals 200 and a plurality of listener terminals 220 may be connected to the music revenue distribution device 100. The music revenue distribution device 100 has a network interface, and transmits and receives various information to and from the producer terminal 200 and the listener terminal 220 via the network interface. A detailed description of the network interface will be omitted.

[0014] The producer terminal 200 is a terminal operated by a user (hereinafter referred to as "producer") who produces a track included in a song. The producer terminal 200 transmits the track to the song revenue distribution apparatus 100 in response to the producer's operation. The listener terminal 220 is a terminal operated by a user (hereinafter referred to as "listener") who listens to a song. The listener terminal 220 receives a song from the song revenue distribution apparatus 100 in response to the listener's operation, and plays the received song. A single terminal may function as both the producer terminal 200 and the listener terminal 220. For example, when the producer of a track is both the producer and the listener of a song, a single terminal may be used as both the producer terminal 200 and the listener terminal 220.

[0015] The music revenue distribution device 100 includes a track input unit 10, a music generation unit 20, a music database 30, a music information presentation unit 40, a reaction receiving unit 50, a comparison music generation unit 60, an evaluation value calculation unit 70, a similarity calculation unit 80, and a distribution rate determination unit 90.

[0016] Each functional block shown in this embodiment can be realized, for example, by cooperation of hardware and software. The hardware of each of the music revenue distribution apparatus 100, the producer terminal 200, and the listener terminal 220 is realized by elements and mechanical devices, including processors such as a computer's CPU (Central Processing Unit) and GPU (Graphics Processing Unit) and memories such as a ROM (Read Only Memory) and RAM (Random Access Memory). The software of each of the music revenue distribution apparatus 100, the producer terminal 200, and the listener terminal 220 is realized by a computer program or the like. These software can be provided by recording them on a computer-readable recording medium, or can be transmitted and received with a server via a wired or wireless network, or can be transmitted and received as terrestrial or satellite digital broadcasting data broadcasting.

[0017] The track input unit 10 accepts track input transmitted from the producer terminal 200. The track that the track input unit 10 accepts as input may be an audio track including audio waveform information, or a MIDI track including MIDI (Musical Instrument Digital Interface) data and MIDI sound source information. In addition, when the track input unit 10 accepts input of multiple tracks, the multiple tracks may be a mixture of audio tracks and MIDI tracks. The tracks that the track input unit 10 accepts include tracks for new music pieces and tracks for addition to existing music pieces.

[0018] The music generating unit 20 generates music including one or more tracks input from the track input unit 10. The music generating unit 20 stores the generated music in the music database 30. When the music generated by the music generating unit 20 includes multiple tracks, the multiple tracks may be configured to overlap each other on the same time axis. When a track for a new music is input via the track input unit 10, the music generating unit 20 sets the track for the new music as a new music and stores the new music in the music database 30. When a track for addition to an existing music is input via the track input unit 10, the music generating unit 20 reads the existing music specified for that track from the music database 30, generates a music by adding the input track to the existing music, and stores the generated music in the music database 30. When a single music generated by the music generating unit 20 includes multiple tracks, the multiple tracks may include a mixture of audio tracks and MIDI tracks.

[0019] The music revenue distribution device 100 regards a music piece that satisfies a predetermined condition as a completed music piece. The predetermined condition for determining that a music piece is completed is not particularly limited, but may be, for example, that the number of tracks included in the music piece reaches a predetermined number, or that an operation for deciding that the music piece is completed is input from the producer terminal 200. The completed music piece is released, and may generate revenue. Hereinafter, music pieces other than completed music pieces are also referred to as unfinished music pieces. Furthermore, when simply referring to music pieces, no particular distinction is made between completed music pieces and unfinished music pieces.

[0020] The music database 30 stores one or more music pieces generated by the music generation unit 20. The music database 30 stores information related to each music piece (hereinafter referred to as "music-related information") in association with each music piece. The music-related information includes, for example, the name of the creator of the track included in the music piece, the title of the music piece, the playing time of the music piece, the date and time of the music piece's creation, and the like. The music-related information may also include reaction information, which will be described later. The music pieces and music-related information are not limited to being centrally managed in a database, but may be distributed and managed on a blockchain as non-fungible tokens (NFTs). The NFT functions as digital data with a certificate of ownership for the music piece.

[0021] The music information presenting unit 40 presents one or more music pieces stored in the music database 30 and music-related information corresponding to the music pieces (hereinafter, these are also collectively referred to as "music information") to the producer terminal 200 and the listener terminal 220. In detail, the music information presenting unit 40 displays at least a part of the music-related information for each music piece, such as the name of the track producer and the title of the music piece, on the producer terminal 200 and the listener terminal 220. When the music information presenting unit 40 receives a play instruction for a music piece from the producer terminal 200 or the listener terminal 220, it transmits the music piece and plays it on the producer terminal 200 or the listener terminal 220 that transmitted the play instruction. When the music information presenting unit 40 accepts an input of a track to be added to a specified existing music piece from the producer terminal 200 via the track input unit 10, it displays the music-related information of the music piece whose input track has been added to the existing music piece on the producer terminal 200 and the listener terminal 220.

[0022] The reaction receiving unit 50 receives input of reaction information to a song transmitted from the listener terminal 220. The reaction information is information on the listener's reaction to the song, and may be, for example, an operation indicating an intention such as a so-called "Like" button operation, a comment posting, or the number of times a song has been played. The reaction information may include a positive reaction, a negative reaction, and a neutral reaction. For example, a "Like" button operation or the number of times a song has been played may be a positive reaction. In addition, for example, the reaction receiving unit 50 may perform text analysis of the posted comment to determine whether the reaction is a positive reaction, a negative reaction, or a neutral reaction. The reaction receiving unit 50 may use biological information such as the pulse rate and brain waves of the listener of the song transmitted from the listener terminal 220 as reaction information.

[0023] The reaction receiving unit 50 stores the received reaction information in the music database 30 in association with the music. The reaction receiving unit 50 may associate the reaction information with the timing of the music performance. For example, when the received reaction information is reaction information at a specific timing in the music performance time being played, the reaction receiving unit 50 can treat the reaction information as having reacted to the performance content at that timing of the music by associating the reaction information with that timing.

[0024] 2 is a conceptual diagram showing an example of a flow of music generation using the music revenue distribution device 100. First, a first track 12a played by producer A on a guitar is input as a track for a new music piece via the track input unit 10. The music generation unit 20 treats the first track 12a as a new music piece and stores it in the music database 30. The music information presentation unit 40 presents information about the music consisting of the first track 12a stored in the music database 30 to the producer terminal 200 and the listener terminal 220.

[0025] After that, the second track 12b played by the producer B is inputted via the track input unit 10 as a track to be added to the music consisting of the first track 12a. The music generating unit 20 generates a music by adding the second track 12b to the music consisting of the first track 12a, and stores the generated music in the music database 30. The music information presenting unit 40 further presents information on the music consisting of the first track 12a and the second track 12b stored in the music database 30 to the producer terminal 200. For example, as shown in FIG. 2, the music information presenting unit 40 outputs information on the music consisting of the first track 12a and the second track 12b as display information in which an arrow connects an image of the first track 12a and an image of the second track 12b, and this is the same for other music pieces. Furthermore, when producer C inputs the third track 12c played on the drums as a track to be added to the music consisting of the first track 12a, the music creation unit 20 creates a music piece by adding the third track 12c to the music consisting of the first track 12a, and stores the created music piece in the music database 30. The music information presenting unit 40 further presents information about the music consisting of the first track 12a and the third track 12c stored in the music database 30 to the creator terminal 200.

[0026] After that, the fourth track 12d played by the producer D on the bass is input as an additional track to the music consisting of the first track 12a and the third track 12c. The music information presenting unit 40 further presents information on the music consisting of the first track 12a, the third track 12c, and the fourth track 12d to the producer terminal 200. The fifth track 12e played by the producer E on the saxophone is input as an additional track to the music consisting of the first track 12a and the third track 12c. The music information presenting unit 40 further presents information on the music consisting of the first track 12a, the third track 12c, and the fifth track 12e to the producer terminal 200.

[0027] Thereafter, the sixth track 12f played on the piano by producer F is input as an additional track to the song consisting of the first track 12a, the third track 12c, and the fourth track 12d. At this time, the song revenue distribution device 100 determines that the song consisting of the first track 12a, the third track 12c, the fourth track 12d, and the sixth track 12f meets a predetermined condition, and releases it as a completed song 22. The song information presenting unit 40 may further present information of the completed song 22 to the producer terminal 200 and the listener terminal 220.

[0028] The revenue generated from the released completed song 22 is distributed to the producers of each track included in the completed song 22 according to a distribution rate determined by a distribution rate determination unit 90 described below. In the description of this embodiment, the distribution of the revenue generated from the completed song 22 to the producers of each track included in the completed song 22 is referred to as revenue distribution. Also, the ratio of the revenue distributed to the producers of each track to the revenue generated from the completed song 22 is referred to as the revenue distribution rate, or simply the distribution rate. The song information presented by the above-mentioned song information presentation unit 40 may be display information that displays the same content as the conceptual diagram shown in FIG. 2.

[0029] Returning to FIG. 1, the reaction receiving section 50 may receive reaction information on the music presented by the music information presenting section 40 from the listener terminal 220. The reaction information from the listener terminal 220 may be on the completed music 22 or on the unfinished music. In addition, the music information presenting section 40 may play a music from the listener terminal 220, excluding any one or more of the first track 12a, the third track 12c, the fourth track 12d, and the sixth track 12f included in the completed music 22, after the completed music 22 is generated. In addition, reaction information on the music from which any one or more tracks are excluded from the completed music 22 may be received from the listener terminal 220 via the reaction receiving section 50. Such reaction information is reaction information on a comparison music from which any target track is excluded from the completed music 22. Details of the comparison music will be described later.

[0030] The comparison song creation unit 60 generates comparison song data by excluding data of the target track, which is the subject of revenue distribution to the producer, from data of the completed song 22 stored in the song database 30. In other words, the comparison song is a completed song 22 that does not include the target track. The comparison song creation unit 60 generates comparison song data for each of the tracks included in the completed song 22.

[0031] Fig. 3 is a conceptual diagram showing an example of the data structure of the completed music piece 22 and a comparison music piece (here, a first comparison music piece 62a is shown as an example). As shown in Fig. 2, the completed music piece 22 includes a first track 12a by producer A, a third track 12c by producer C, a fourth track 12d by producer D, and a sixth track 12f by producer F. The first comparison music piece 62a is a music piece generated by excluding the first track 12a as a target track from the completed music piece 22. In other words, the first comparison music piece 62a includes the third track 12c by producer C, the fourth track 12d by producer D, and the sixth track 12f by producer F, but does not include the first track 12a by producer A. Similar to the data of the first comparison song 62a, the comparison song creation section 60 creates data for a second comparison song 62b (see FIG. 5) whose target track is the third track 12c, data for a third comparison song 62c (see FIG. 5) whose target track is the fourth track 12d, and data for a fourth comparison song 62d (see FIG. 5) whose target track is the sixth track 12f, from data of the completed song 22. Hereinafter, when there is no particular need to distinguish between the first comparison song 62a to the fourth comparison song 62d, they will be collectively referred to as comparison songs 62.

[0032] Returning to FIG. 1, the evaluation value calculation unit 70 calculates an overall evaluation value, which is an evaluation value given by the listener for the completed musical piece 22, and partial evaluation values, which are evaluation values ​​given by the listener for the comparison musical piece 62. The evaluation value calculation unit 70 calculates the ... which is input via the reaction receiving unit 50 and stored in the musical piece database 30. The evaluation value calculation unit 70 also calculates the evaluation value by collecting reaction information given by the reaction receiving unit 50 and stored in the musical piece database 30. The evaluation value calculation unit 70 may, for example, increase the evaluation value if the reaction information is a positive reaction, or may decrease the evaluation value if the reaction information is a negative reaction.

[0033] The evaluation value calculation section 70 may compile reaction information corresponding to multiple timings in the performance time of the song, and calculate an overall evaluation value and a partial evaluation value for each of the multiple timings in the performance time of the completed song 22 and the comparison song 62.

[0034] The similarity calculation section 80 calculates the similarity between the completed music piece 22 and the comparison music piece 62. In particular, the similarity calculation section 80 may compare the data of the completed music piece 22 with the data of the comparison music piece 62 and calculate the similarity based on the comparison result, or may calculate the similarity based on the overall evaluation value and partial evaluation values ​​calculated by the evaluation value calculation section 70, or may calculate the similarity based on both of these.

[0035] First, a case will be described in which the similarity calculation unit 80 compares data of the completed music piece 22 with data of the comparison music piece 62 and calculates the similarity based on the comparison result. The method of comparing music piece data used by the similarity calculation unit 80 can adopt various methods used in similarity comparison of music data and voice data. For example, the similarity calculation unit 80 may divide the music piece data into frames, extract and compare the feature amounts of each frame to calculate the similarity. For example, the similarity calculation unit 80 may convert the music piece data into a spectrum representation by Fourier transform, and calculate the similarity by comparing the shape and features of the spectrum. For example, the similarity calculation unit 80 may perform a wavelet transform on the music piece data to extract information on time and frequency, and calculate the similarity. The similarity calculation unit 80 may use a machine learning algorithm such as deep learning to learn the similarity from the feature amounts of the music piece data. The similarity calculation unit 80 may use a statistical value such as a correlation value as the above-mentioned similarity.

[0036] Next, a case will be described in which the similarity calculation unit 80 calculates the similarity based on the overall evaluation value and partial evaluation values ​​calculated by the evaluation value calculation unit 70. The similarity calculation unit 80 calculates the similarity from the difference or ratio between the overall evaluation value, which is the evaluation value of the completed musical piece 22, and the partial evaluation values, which are the evaluation values ​​of the comparison musical piece 62. The similarity calculation unit 80 may calculate the similarity based on the correlation between the overall evaluation value and the partial evaluation values ​​calculated for multiple timings in the performance time of the musical piece.

[0037] An example of the similarity calculated by the similarity calculation unit 80 will now be described with reference to Fig. 2. The similarity calculation unit 80 calculates the similarity between the overall evaluation value of the completed music piece 22 and the partial evaluation value of a first comparison music piece 62a obtained by excluding the first track 12a from the completed music piece 22. Similarly, the similarity calculation unit 80 calculates the similarity between the overall evaluation value and the partial evaluation value of a second comparison music piece 62b obtained by excluding the third track 12c from the completed music piece 22, the similarity between the overall evaluation value and the partial evaluation value of a third comparison music piece 62c obtained by excluding the fourth track 12d from the completed music piece 22, and the similarity between the overall evaluation value and the partial evaluation value of a fourth comparison music piece 62d obtained by excluding the sixth track 12f from the completed music piece 22.

[0038] FIG. 4 is a diagram showing an example of evaluation values ​​at multiple timings of the playback time of the completed music piece 22 and each track contained in the completed music piece 22. In FIG. 4, the left-right direction indicates the playback time, and the playback time increases toward the right. The multiple timings of the playback time are indicated by "1," "2," ... "8." In the completed music piece 22 and the first track 12a to the sixth track 12f, timings with a high evaluation value are indicated by "high," timings with a medium evaluation value are indicated by "medium," and timings with a low evaluation value are indicated by blank spaces. The multiple timings of the playback time may be divided by the playback time, or may be divided by each section of the music piece (intro, A-melody, B-melody, chorus, etc.).

[0039] From the evaluation values ​​at multiple timings as shown in Figure 4, the correlation between the overall evaluation value of the completed music piece 22 and the evaluation value of each track can be seen. For example, the completed music piece 22 has high evaluation values ​​at multiple timings, "2," "4," "5," "7," and "8," and the fourth track 12d shows the closest tendency to this. In this case, the third comparison music piece 62c, which has the fourth track 12d as the target track, is a music piece consisting of the first track 12a, the third track 12c, and the sixth track 12f excluding the fourth track 12d from the completed music piece 22, so the third comparison music piece 62c is calculated to have a lower similarity to the completed music piece 22 than the other comparison music pieces.

[0040] Next, a case will be described in which the similarity calculation unit 80 calculates the similarity based on both the result of the comparison between the data of the completed music piece 22 and the data of the comparison music piece 62 and the overall evaluation value and the partial evaluation value. The similarity calculation unit 80 may calculate the final similarity by, for example, taking an average of the similarity calculated based on the result of the comparison between the data of the completed music piece 22 and the data of the comparison music piece 62 and the similarity calculated based on the overall evaluation value and the partial evaluation value. The similarity calculation unit 80 may adjust the similarity calculated based on the result of the comparison between the data of the completed music piece 22 and the data of the comparison music piece 62 based on the overall evaluation value and the partial evaluation value. The similarity calculation unit 80 may also calculate the contribution of each comparison music piece 62 to the completed music piece 22 for each of a plurality of timings during the performance time based on the result of the comparison between the data of the completed music piece 22 and the data of the comparison music piece 62. The similarity calculation unit 80 may then calculate the similarity such that the comparison music piece 62 excluding a track with a high contribution at a timing in the performance time where the overall evaluation value is relatively high has a lower similarity. For example, at the timing when the piano is playing alone in the intro, the contribution of the piano track is high, i.e., the contribution of the comparison piece 62 excluding the piano track is calculated to be low. Therefore, if the overall evaluation value is high at that timing, it is considered that the piano track is highly rated, and the similarity calculation unit 80 calculates the similarity of the comparison piece 62 excluding the piano track to be relatively low.

[0041] Returning to FIG. 1, the distribution rate determination unit 90 determines the distribution rate of the profit generated in the completed music 22 to the producer of the target track based on the similarity calculated by the similarity calculation unit 80. Here, as described above, the similarity calculated by the similarity calculation unit 80 is the similarity between the completed music 22 and the comparative music 62, and the data of the comparative music 62 is generated by excluding the data of the target track from the data of the completed music 22. Therefore, the lower the similarity, the greater the difference between the music is compared to when the target track is excluded from the completed music 22, that is, the greater the influence of the target track on the completed music 22. Similarly, the higher the similarity, the smaller the influence of the target track on the completed music 22. Therefore, the distribution rate determination unit 90 increases the distribution rate to the producer of the target track as the similarity decreases. As a result, the producer of the track that has a greater influence on the completed music 22 receives a higher distribution rate of the profit generated in the completed music 22, and therefore it is possible to distribute profit according to the contribution to the completed music 22. The distribution rate determination section 90 may store the determined distribution rate in the music database 30 in association with the completed music piece 22 .

[0042] Fig. 5 is a diagram showing an example of the similarity between the completed music piece 22 and the comparison music piece 62 calculated by the similarity calculation section 80. Fig. 5 shows the similarity of each of the first comparison music piece 62a to the fourth comparison music piece 62d to the completed music piece 22 as a percentage. In the example shown in Fig. 5, the similarity rate to the completed music piece 22 is 100% for the completed music piece 22, 80% for the first comparison music piece 62a, 60% for the second comparison music piece 62b, 90% for the third comparison music piece 62c, and 70% for the fourth comparison music piece 62d.

[0043] The distribution rate determination unit 90 may calculate the rate of change resulting from the removal of the target track from the completed music piece 22 based on the similarity rates shown in FIG. 5. The rate of change can be calculated by subtracting the similarity rate from 100%. For example, the rate of change resulting from the removal of the first track 12a from the completed music piece 22 is 20%, which is obtained by subtracting the similarity rate of the first comparison music piece 62a, 80%, from 100%. Similarly, the rate of change resulting from the removal of the third track 12c from the completed music piece 22 is 40%, which is obtained by subtracting the similarity rate of the second comparison music piece 62b, 60%, from 100%. The rate of change resulting from the removal of the fourth track 12d from the completed music piece 22 is 10%, which is obtained by subtracting the similarity rate of the third comparison music piece 62c, 90%, from 100%. The rate of change resulting from the removal of the sixth track 12f from the completed music piece 22 is 30%, which is obtained by subtracting the similarity rate of the fourth comparison music piece 62d, 70%, from 100%.

[0044] The distribution rate determination unit 90 may determine the rate of change resulting from the exclusion of each target track as the distribution rate to the producer of each track. In this case, the distribution rate to producer A of the first track 12a is 20%, the distribution rate to producer C of the third track 12c is 40%, the distribution rate to producer D of the fourth track 12d is 10%, and the distribution rate to producer F of the sixth track 12f is 30%. Therefore, for example, if the revenue from the completed music piece 22 is 100,000 yen, producer A's revenue will be 20,000 yen, producer C's revenue will be 40,000 yen, producer D's revenue will be 10,000 yen, and producer F's revenue will be 30,000 yen.

[0045] The music revenue distribution device 100 does not need to distribute all of the revenue to each track producer according to the distribution rate, and may distribute a part of the revenue equally and the rest according to the distribution rate. For example, the revenue of the completed music 22 is 100,000 yen, and the music revenue distribution device 100 distributes 40,000 yen equally and the rest according to the distribution rate. In this case, the revenue of producer A is 40,000 yen / 4+60,000 yen×0.2=22,000 yen, the revenue of producer C is 40,000 yen / 4+60,000 yen×0.4=34,000 yen, the revenue of producer D is 40,000 yen / 4+60,000 yen×0.1=16,000 yen, and the revenue of producer F is 40,000 yen / 4+60,000 yen×0.3=28,000 yen.

[0046] Fig. 6 is a flowchart showing an example of the procedure of a song revenue distribution process by the song revenue distribution device 100. The process shown in Fig. 6 is based on the premise that the completed song 22 generated by the song generation unit 20 is stored in advance in the song database 30. Moreover, the process shown in Fig. 6 is a song revenue distribution process for one completed song 22.

[0047] The comparison music creation unit 60 selects a target track that is the subject of revenue distribution to the producer from the tracks included in the completed music piece 22 (S10). The comparison music creation unit 60 generates a comparison music piece 62 for the target track by excluding data of the target track from data of the completed music piece 22 (S12).

[0048] The similarity calculation unit 80 compares the data of the completed music piece 22 with the data of the comparison music piece 62 (S14). The evaluation value calculation unit 70 calculates an overall evaluation value, which is the evaluation value given by the listener for the completed music piece 22, and a partial evaluation value, which is the evaluation value given by the listener for the comparison music piece 62 (S16). The order of steps S14 and S16 may be reversed. The similarity calculation unit 80 calculates the similarity between the completed music piece 22 and the comparison music piece 62 based on at least one of the comparison result in step S14 and the overall evaluation value and the partial evaluation value calculated in step S16 (S18).

[0049] The distribution rate determination unit 90 determines the revenue distribution rate to the producer of the target track based on the similarity calculated in S18 (S20). If there is a track included in the completed song 22 that has not been selected as a target track (Y in S22), the music revenue distribution device 100 returns to step S10. If all tracks included in the completed song 22 have been selected as target tracks (N in S22), the music revenue distribution device 100 ends the process.

[0050] As described above, the music revenue distribution device 100 according to the present embodiment includes a similarity calculation unit 80 that calculates the similarity between the completed music 22 including a target track that is the subject of revenue distribution to the producer and a comparison music 62 of the completed music 22 that does not include the target track, and a distribution rate determination unit 90 that determines a distribution rate to the producer of the target track of the revenue generated from the completed music 22 based on the similarity, and the distribution rate determination unit 90 increases the distribution rate to the producer as the similarity decreases. Thus, the music revenue distribution device 100 determines the distribution rate of the revenue to the producer of the target track based on the result of an objective evaluation of the impact when the target track is not included in the completed music 22, and therefore the revenue of the completed music 22 can be appropriately distributed.

[0051] Moreover, the music revenue distribution device 100 according to this embodiment further includes a comparison song generation unit 60 that generates data of a comparison song 62 by excluding data of the target track from data of the completed song 22, and a similarity calculation unit 80 compares data of the completed song 22 with data of the comparison song 62 and calculates similarity based on the comparison result. Thus, the music revenue distribution device 100 can determine the revenue distribution rate to the producer of the target track based on a more objective evaluation result based on the data analysis of the song.

[0052] Moreover, the music revenue distribution device 100 according to this embodiment further includes an evaluation value calculation unit 70 that calculates an overall evaluation value, which is an evaluation value given by a listener for the completed music piece 22, and partial evaluation values, which are evaluation values ​​given by the listener for the comparison music piece 62, and the similarity calculation unit 80 calculates the similarity based on the overall evaluation value and the partial evaluation values. Thus, the music revenue distribution device 100 can calculate the similarity based on the listener's evaluation, which is more relevant to the revenue.

[0053] Furthermore, in the music revenue distribution device 100 according to this embodiment, the evaluation value calculation unit 70 calculates an overall evaluation value and a partial evaluation value for each of multiple timings in the performance time of the completed music piece 22 and the comparison music piece 62, and the similarity calculation unit 80 calculates the similarity based on the correlation between the overall evaluation value and the partial evaluation value at each timing. Thus, the music revenue distribution device 100 uses information on listeners' evaluations for each timing in the performance time of the music to calculate the similarity, and can therefore calculate the similarity with higher accuracy.

[0054] The present invention has been described above based on the embodiments. The embodiments are merely examples, and it will be understood by those skilled in the art that various modifications are possible in the combination of each component and each treatment process, and that such modifications are also within the scope of the present invention.

[0055] For example, in the present embodiment, the music revenue distribution device 100 has been described as generating a completed music piece 22 including a plurality of tracks inputted from the track input unit 10. However, the completed music piece 22 is not limited to being generated by the music revenue distribution device 100, and may be inputted to the music revenue distribution device 100 from an external source. Furthermore, the plurality of tracks included in the completed music piece 22 may not be separable as data, and may be separable into a plurality of tracks by, for example, analyzing the completed music piece 22 using voice recognition or the like. When the completed music piece 22 is inputted from an external source in this manner, the inputted completed music piece 22 is stored, for example, in the music database 30. In this case, the music revenue distribution device 100 may not include the track input unit 10 and the music generation unit 20.

[0056] The number of producers of each of the multiple tracks included in the music revenue distribution device 100 is not necessarily limited to one. For example, one track may have multiple performers, or the composer and performer may be different people. When one track has multiple producers, the revenue for each track, which is distributed according to the distribution rate determined by the distribution rate determination unit 90, may be further distributed according to each producer's own agreement.

[0057] In this embodiment, the evaluation value calculation unit 70 calculates an overall evaluation value given by the listener for the completed music piece 22 and partial evaluation values, which are evaluation values ​​given by the listener for the comparison music piece 62, and the similarity calculation unit 80 calculates the similarity based on the overall evaluation value and the partial evaluation values. However, the evaluation value calculation unit 70 may directly calculate an evaluation value given by the listener for the target track instead of the partial evaluation value, and the similarity calculation unit 80 may calculate the similarity based on the overall evaluation value and the evaluation value for the target track. In this case, the distribution rate determination unit 90 may increase the distribution rate to the producer of the target track the higher the similarity. [Explanation of symbols]

[0058] 10 track input unit, 12 track, 20 music generation unit, 22 completed music, 30 music database, 40 music information presentation unit, 50 reaction reception unit, 60 comparison music generation unit, 62 comparison music, 70 evaluation value calculation unit, 80 similarity calculation unit, 90 distribution rate determination unit, 100 music revenue distribution device, 200 producer terminal, 220 listener terminal.

Claims

1. a similarity calculation unit that calculates a similarity between a completed musical piece including a target track that is a target for revenue distribution to a producer and a comparison musical piece that does not include the target track among the completed musical piece; a distribution rate determination unit that determines a distribution rate, which is a ratio of a profit generated from the completed song to a producer of the target track, based on the similarity; Equipped with The distribution rate determination unit is configured to increase the distribution rate to the producer as the similarity decreases.

2. a comparison music piece generation unit that generates the comparison music piece data by excluding data of the target track from data of the completed music piece; The music revenue distribution device according to claim 1 , wherein the similarity calculation section compares data of the completed music piece with data of the comparison music piece, and calculates the similarity based on a comparison result.

3. an evaluation value calculation unit that calculates an overall evaluation value, which is an evaluation value given by a listener for the completed musical piece, and partial evaluation values, which are evaluation values ​​given by the listener for the comparison musical pieces; The music revenue distribution device according to claim 1 , wherein the similarity calculation unit calculates the similarity based on the overall evaluation value and the partial evaluation value.

4. the evaluation value calculation unit calculates the overall evaluation value and the partial evaluation values ​​for a plurality of timings in the performance times of the completed musical piece and the comparison musical piece, the similarity calculation unit calculates the similarity based on a correlation between the overall evaluation value and the partial evaluation value at the multiple timings. The music revenue distribution device according to claim 3.

5. calculating a similarity between a completed musical piece including a target track that is a target for revenue distribution to a producer and a comparison musical piece that does not include the target track among the completed musical pieces; determining a distribution rate, which is a ratio of a profit distribution to the producer of the target track to a profit generated for the completed song, based on the similarity, the distribution rate being set to be higher as the similarity is lower; A music revenue sharing program for causing a computer to execute the above.

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