KR20180114854A - Method and apparatus for determining music for remake - Google Patents

Abstract

Provided is a method for determining a music source for remake, including the steps of: receiving an input for setting a period of interest and a plurality of candidate music sources; collecting like data of a first candidate music source from a music source service website; determining the like number of the first candidate music source increasing during the period of interest based on the like data of the first candidate music source; determining a score of the first candidate music source based on the like number of the first candidate music source increasing during the period of interest; and determining the candidate music source of the highest score among the plurality of candidate music sources, as the music source for remake. Accordingly, the present invention can increase the success probability of the music source.

Description

[0001] METHOD AND APPARATUS FOR DETERMINING MUSIC FOR REMAKE [0002]

The present invention relates to data-based sound source production.

Management of traditional domestic musicians has been done through the agency. In the traditional management environment through the agency, the success or failure of the singer has led to the company 's dwelling, which has led to a performance - oriented or contractor - oriented contractual relationship.

In order to get out of such a traditional management environment, recently, musicians have established a small company or a small company, or have been working without a separate agency (hereinafter referred to as "independent musicians"). Also, due to the development of social media, independent musicians have become popular with the public without exposure to traditional media such as TV and radio. As a result, independent musicians are debuting through social media such as SoundCloud, Facebook, and YouTube, without going through the training period at the agency.

However, unlike musicians in traditional management environments, independent musicians are not only specialized in musical fields such as collaborations with other musicians, studios and musical instruments due to financial limitations, but also specialized in fields other than music such as economy, administration and law. You can not build a management system or partnership. Therefore, independent musicians are generally vulnerable to collaboration, public relations, crisis management, planning and marketing. The lack of expertise in such management increases unnecessary expense and work, thereby hindering the growth of independent musicians. Therefore, there is a demand for a technique that allows independent musicians to secure management expertise.

For example, independent musicians are limited in their ability to produce, so they have no choice but to create songs or singers depending on their sense or taste. As a result, there is a growing demand for a production system with a high probability of objectively succeeding.

And a method and apparatus for producing a sound source based on data. Specifically, the present invention is to provide a method and apparatus for determining a sound source for remake based on data and determining a musician suitable for the sound source.

The technical problem to be solved is not limited to the technical problems as described above, and other technical problems may exist.

As a technical means for achieving the above technical object, there is provided a method for determining a sound source for remake, the method comprising: receiving an input for setting a period of interest and a plurality of candidate sound sources; acquiring the likelihood data of the second candidate sound source based on likes of the first candidate sound source, obtaining a number of likelihoods of the first candidate sound source increased during the period of interest based on the likelihood of the first candidate sound source during the interest period, , Determining a score of the first candidate sound source, and determining as a sound source to remake the candidate sound source of the highest score among the plurality of candidate sound sources.

The method includes collecting comment data of a first candidate sound source from a sound source service web site and obtaining a comment number of the first candidate sound source that has increased during the period of interest based on comment data of the first candidate sound source And the score of the first candidate sound source may be determined further based on the number of comments of the first candidate sound source that have increased during the period of interest.

The above method includes the steps of generating emotional statistics of the first candidate sound source during the period of interest by performing emotional analysis on the comments of the first candidate sound source registered during the period of interest based on the comment data of the first candidate sound source , And the score for the first candidate sound source may be determined based further on the comment sensitivity statistics of the first candidate sound source during the period of interest.

The method includes the steps of: retrieving a post including a title of a first candidate sound source from a social medium and collecting post data; acquiring the number of posts of the first candidate sound source increased during the period of interest based on the post data; , And the score for the first candidate sound source may be determined based further on the number of posts of the first candidate sound source increased during the period of interest.

In the above-described method, the step of receiving an input for setting a plurality of sound sources includes the steps of receiving an input for setting a point of interest, collecting sound source chart data at a point of interest from a sound source service web site, And setting a plurality of sound sources higher than the critical order in the sound source chart data as a plurality of candidate sound sources.

The above-described method may further include a step of obtaining lyrics of a sound source for remaking, extracting keywords from the lyrics, and determining a season suitable for the sound source for remaking based on the keywords.

As a technical means for accomplishing the above technical object, there is provided an apparatus for determining a sound source for remake, comprising: an input unit for receiving an input for setting a period of interest and a plurality of candidate sound sources; Acquiring a number of likelihoods of the first candidate sound source that has increased during the period of interest based on the likes of the first candidate sound source and generating a first candidate sound source based on the likelihood of the first candidate sound source increased during the interest period, There is provided an apparatus including a control unit for determining a score of a sound source and determining the candidate sound source of the highest score among a plurality of candidate sound sources as a sound source for remake.

There is provided a computer program stored on a computer readable recording medium, wherein the program includes instructions, and wherein the instructions, when executed by the computer, perform any one of the methods described above.

According to the present invention, a sound source can be produced based on data, thereby increasing the probability of success of a sound source.

FIG. 1 is a view schematically showing a method for determining a sound source for performing a remake.
2 is a flow chart of a method for determining a sound source for a remake in accordance with some embodiments.
3 is a diagram for explaining an operation of collecting sound source data from a sound source service web site according to some embodiments.
4 is a flow diagram of a method for determining a plurality of candidate sound sources in accordance with some embodiments.
5 is a flow diagram of a method for determining seasons suitable for a sound source for remake in accordance with some embodiments.
6 is a view schematically showing a method for determining musicians suitable for a sound source.
7 is a flow diagram of a method for determining musicians suitable for a sound source according to some embodiments.
FIG. 8 is a view for explaining an operation of collecting musician's data from a music service web site according to some embodiments.
9 is a flow diagram of a method for determining a plurality of candidate musicians in accordance with some embodiments.
10 is a configuration diagram of an apparatus for determining a sound source for performing a remake and an apparatus for determining a musicians suitable for a sound source.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. The following examples of the present invention are intended only to illustrate the present invention and do not limit or limit the scope of the present invention. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

In this specification, and particularly in the claims, " above " and similar directives may refer to both singular and plural. Further, if there is no description explicitly specifying the order of the steps describing the method according to the present disclosure, the steps described may be performed in any suitable order. The present disclosure is not limited by the order of description of the steps described.

The terms used in this specification will be briefly described and the present invention will be described in detail.

Throughout the specification, when an element is referred to as "including" an element, it may mean that it may include other elements, not excluding other elements unless specifically stated otherwise.

Furthermore, throughout the specification, the singular forms "a," "an," and "the" include plural referents unless the context clearly dictates otherwise.

Also, throughout the specification, the term "content" refers to a concept including a variety of information, such as letters, numbers, signs, voices, documents, images, and images, which are digitally produced and processed and distributed for use in wired and wireless telecommunication networks .

Hereinafter, some embodiments of the present invention will be described in detail with reference to the accompanying drawings.

FIG. 1 is a view schematically showing a method for determining a sound source for performing a remake.

A data-based sound source producing apparatus 10 (hereinafter referred to as "apparatus 10") collects the contents of a sound source from at least one server 20 through a communication network 30, So that a sound source for remake can be determined.

The apparatus 10 may be implemented by a general computer, but is not limited thereto. For example, the device 10 may be variously implemented in the form of a mobile device, a wearable device, and a personal computer. A "mobile device" may mean a device that is small enough for a user to carry and can perform a computing operation. For example, the mobile device can be implemented in various forms such as a mobile phone, a tablet PC, or a notebook. A "wearable device" may refer to a device that is worn on a user's body to perform a computing operation. For example, the wearable device can be variously implemented in a form that can be worn by a user such as a watch, an HMD (head mounted device), an earphone, and the like.

The content of the sound source may include on-line content derived from the sound source. For example, the content of the sound source may include not only the chart rank of the sound source, the number of likes, the number of times of reproduction, and the number of views, but also posts, comments, hashtags, internet articles, In addition, the contents of the sound source may include contents of the musicians participating in the sound source.

The device 10 can determine a sound source to be remade from among a plurality of sound sources (xxx, yyy, zzz, ...) that have been popular in the past based on recent sound source contents. For example, the device 10 may be configured to provide a user with the most recent number of sounds (zzz) on the source service web site, a source (yyy) with the largest number of recent comments on the source service web site, You can determine the sound source to remake the most increased source (zzz). In this manner, the device 10 can determine a sound source to be remembrance based on data according to the trend of the public, so that a production system with a high probability of success in the market can be implemented.

Further, the device 10 can determine the season suitable for the remake sound source, based on the content of the sound source for remake. Accordingly, the user of the apparatus 10 can effectively set an appropriate timing for releasing the remake sound source according to the seasonality of the remake sound source.

2 is a flow chart of a method for determining a sound source for a remake in accordance with some embodiments.

In step S200, the device 10 may receive input from the user to set interest periods and a plurality of candidate sound sources. The period of interest may include at least one of a start point and an end point, and may be set for the past, set to include the current, or set for the future. A method of setting a plurality of candidate sound sources will be described later with reference to Fig.

In step S210, the device 10 may collect like data of the first candidate sound source among a plurality of candidate sound sources from the sound source service web site. For example, a music service web site may include a site that provides music online through streaming or downloading methods such as melon, bucks, mnet, naver music, genie, siribada, and iTunes. Also, the like of a sound source may mean an item that a user of the sound source service website checks to express sympathy and recommendation for a specific sound source. For example, like can be implemented in a variety of forms such as Melon's Heart, Genie's Heart, Bucks' likes, Naver's Music's likes, Mnet's likes. In general, the number of likes checked against a source on a source service web site can be an indicator of the popularity of the source.

If only the point in time of interest is set, the device 10 may collect data until a termination input is received. In addition, when only the end point of interest period is set, the device 10 can collect data from the present to the end point. If a period of interest is not set, the device 10 may collect data from now until a termination input is received.

In step S220, the apparatus 10 may acquire the number of likes of the first candidate sound source that has increased during the period of interest, based on likes data of the first candidate sound source. Specifically, the number of likes of the first candidate sound source that has increased during the interest period may correspond to the difference between the final likes and the first likes during the interest period. As another example, the number of likes of the first candidate sound source increased during the period of interest may correspond to the difference between the highest likes and the lowest likes obtained during the period of interest.

In step S230, the device 10 may determine the score of the first candidate sound source based on the likelihood of the first candidate sound source increased during the period of interest. The score can be proportional to the number of likes increased during the period of interest. Specifically, the device 10 may apply the preset weights to the number of likes increased during the period of interest to determine the score.

In step S240, the apparatus 10 may determine a candidate sound source of the highest score among a plurality of candidate sound sources as a sound source for remaking. Specifically, the apparatus 10 determines the score for each of the plurality of candidate sound sources by applying the same method as the method for determining the score of the first candidate sound source described above through steps S210 to S230, Can extract sound source.

3 is a diagram for explaining an operation of collecting sound source data from a sound source service web site according to some embodiments.

Referring to FIG. 3, an example of a user interface screen provided on a sound source service web site is shown.

For example, if 'zzz' is set as a candidate sound source in device 10 and the period of interest is set from January 1, 2016 to December 31, 2016, Of the 1,234 of the total likes (310) of the 'zzz' sound source that have been checked by the users of the sound source service web site to date, the likes of the candidate sound source 'zzz' are collected from 1 January 2016 to 31 December 2016 It is possible to acquire the number of likes of the 'zzz' sound source that has been checked up to. Additionally, the device 10 may determine a score of 'zzz' based on the likelihood of the 'zzz' source that has increased during the period of interest.

Also, the device 10 can determine the score of the candidate sound source based on the comment data of the candidate sound source.

For example, the device 10 may collect comment data of a candidate sound source from a sound source service web site and obtain the number of comments of the candidate sound source increased during the period of interest based on the comment data of the candidate sound source. Additionally, the device 10 may determine the score of the candidate sound source based on the number of comments of the candidate sound source increased during the period of interest. The score can be proportional to the number of comments increased during the period of interest. Specifically, the device 10 may determine the score by applying a predetermined weight to the number of comments increased during the period of interest. The weight for the number of comments increased during the interest period is set to be lower than the weight for the number of likes increased during the interest period so that the proportion of likes data in determining the score can be set larger than the weight of the comment data.

In the above example, the device 10 collects the comment data of the candidate sound source 'zzz' on the sound source service web site and generates a comment (320) 5,678 of the 'zzz' sound source created by the users of the sound source service website You can get the number of comments (330) of 'zzz' sound recordings created from January 1, 2016 to December 31, 2016, among. In addition, the device 10 may determine the score of 'zzz' based on the number of comments of the 'zzz' sound source increased during the period of interest.

As another example, the apparatus 10 may perform emotional analysis on the comments of the candidate sound sources registered during the period of interest to generate the comment emotion statistics of the candidate sound sources during the interest period, The score of the interested sound source can be determined on the basis of this. Specifically, the device 10 may classify a comment as a positive comment or a negative comment based on the number of positive keywords included in the comment, the number of negative keywords, the number of neutral keywords, and the grammatical structure of the comment . For example, the device 10 may extract a keyword or an entity included in a comment, and classify the extracted keyword into a positive keyword or a negative keyword according to a database stored in advance in the storage unit. If the extracted keyword is not included in the database previously stored in the storage unit, the apparatus 10 classifies the extracted keyword as a neutral keyword or classifies the sensitivity of the extracted keyword by communicating with at least one server . In addition, when the comment includes a conjunction in a reciprocal relationship, the apparatus 10 omits the analysis of the keyword included before the conjunction in the reciprocal relationship and classifies the sensitivity of the keyword included after the conjunction in the reciprocal relationship . Also, the score of the candidate sound source may increase or decrease depending on the number of positive comments or negative comments of the candidate sound source created during the period of interest.

Also, the device 10 can determine the score of the candidate sound source based on the post data of the candidate sound source.

For example, the device 10 may retrieve posts containing the title of the candidate sound source from social media and collect post data. Here, the social media may mean an online platform that enables users to share content with other users. For example, social media may include user generated contents (UGC) such as social network service (SNS) such as Facebook, Instagram, Twitter, YouTube, African TV, In addition, the device 10 may obtain the number of posts of the candidate sound source that have increased during the period of interest, based on the post data. Specifically, the number of posts of the candidate sound source that have increased during the period of interest may correspond to the difference between the number of final posts and the number of original posts during the period of interest. The device 10 may also determine the score of the candidate sound source based on the number of posts of the candidate sound source increased during the period of interest. The score can be proportional to the number of posts increased during the period of interest. Specifically, the device 10 may apply a preset weight to the number of posts increased during the period of interest to determine the score. The weight for the number of posts increased during the interest period is set to be lower than the weight for the number of likes on the sound source service website increased during the interest period so that the proportion of likes on the sound source service web site in determining the score As shown in FIG. Also, the device 10 generates the sentence sensitivity statistics of the candidate sound sources during the period of interest based on the bulletin data collected from the social media, in the same manner as the comment sensitivity statistics of the candidate sound sources on the sound source service web site, .

4 is a flow diagram of a method for determining a plurality of candidate sound sources in accordance with some embodiments.

In step S201, the device 10 may receive input from the user to set the time of interest. Also, in step S202, the device 10 may collect sound source chart data at a point of interest from a sound source service web site. Further, in step S203, the device 10 can set a plurality of sound sources higher than the critical order as a plurality of candidate sound sources, based on the sound source chart data. Here, the threshold ranking may be a predetermined value or may be set by the user of the apparatus 10. [

The apparatus 10 also receives input for setting a genre condition of the candidate sound source from the user, filters the sound source chart data according to the genre condition of the candidate sound source, .

Accordingly, the device 10 can determine the sound sources that were popular in the past as candidates of the sound source to be remade.

In addition, a user of the device 10 may input a plurality of candidate sound sources directly to the device 10. [ Accordingly, the user of the device 10 can confirm the objective evaluation data of the candidate sound sources of interest through the device 10. [

5 is a flow diagram of a method for determining seasons suitable for a sound source for remake in accordance with some embodiments.

In step S250, the device 10 may obtain lyrics of the sound source for remake determined in step S240. For example, the device 10 may collect lyric data of a sound source for remake from a sound source service web site. As another example, the device 10 may retrieve the lyrics of a sound source for remake from a database previously stored in a storage or obtain the lyrics of a sound source for remake by user input.

In step S260, the device 10 extracts a keyword from the lyrics of the sound source for remake, and determines a season suitable for the sound source for remake based on the keyword. Specifically, the device 10 can determine a season suitable for the sound source according to the ratio of the seasonality of the keywords included in the lyrics. For example, the device 10 may extract the keywords or entities included in the lyrics and classify the seasonality of the keywords extracted according to the database stored in advance in the storage unit into one of the four seasons. Specifically, the seasonality of keywords such as 'flower', 'sea', 'deciduous leaf', and 'eye' can be classified into spring, summer, autumn, and winter, respectively. If the extracted keyword is not included in the database previously stored in the storage unit, the apparatus 10 classifies the seasonality of the extracted keyword as neutral or communicates with at least one server to classify the seasonality of the extracted keyword .

The user of the apparatus 10 can effectively set an appropriate timing for releasing the remake sound source according to the seasonality of the remake sound source.

6 is a view schematically showing a method for determining musicians suitable for a sound source.

The apparatus 40 for determining musicians suitable for a sound source can collect the contents of the musicians from at least one server 20 through the communication network 30 and determine musicians suitable for the sound sources based on the contents of the collected musicians.

The apparatus 40 for determining a musician suitable for a sound source may be the same apparatus as the apparatus 10 for determining a sound source for remaking as described above with reference to FIG.

The contents of the musicians may include online content derived from the musicians. For example, the contents of a musician may include a musician's fandom, a musician's related posts, comments, a hashtag, an internet article, a real-time search ranking, and the like of a musician on a music service web site. In addition, the contents of the musician may include contents of the sound source in which the musician participates.

A device 40 for determining a musician suitable for a sound source (hereinafter referred to as "device 40") includes musicians (AAA, BBB , CCC ...) can be determined for a matching musician. For example, the device 40 may include a musician (AAA) with the greatest number of recent likes on the music service web site during the season suitable for the matching music source, a musician (BBB) with the greatest number of recent comments on the music service web site, (FFF) that has the most recent followers on the list can be decided as a musician suitable for a matching sound source. As such, the device 40 can determine a musician that is suitable for the seasonality of the matching sound source based on the data, and thus can produce a production system with a high probability of success in the market.

In addition, the device 40 may set the matching sound source as a sound source for the remake described above with reference to FIG. 1 to FIG. 5 to effectively determine a suitable musician for the sound source for remake, and may determine the probability that the sound source for remake will succeed in the market Can be further increased.

7 is a flow diagram of a method for determining musicians suitable for a sound source according to some embodiments.

In step S700, the device 40 may receive an input that sets a matching sound source and a plurality of candidate musicians. As described above, the matching sound source may be a sound source for remaking determined from among a plurality of candidate sound sources through FIGS. 1 to 5. A plurality of candidate sound sources may be set by user input. A method of setting a plurality of candidate sound sources will be described later with reference to Fig.

In step S710, the device 40 may obtain the lyrics of the matching sound source. For example, the device 40 may collect lyric data of a matching sound source from a sound source service web site. As another example, the device 40 may retrieve lyrics of a matching sound source from a database previously stored in a storage, or obtain the lyrics of a matching sound source by user input.

In step S720, the device 40 may determine a season suitable for the matching sound source. For example, the device 40 may collect lyric data of a matching sound source from a sound source service web site. As another example, the device 40 may retrieve lyrics of a matching sound source from a database previously stored in a storage, or obtain the lyrics of a matching sound source by user input.

In step S730, the device 40 may determine a season suitable for the matching sound source. Specifically, the device 40 may determine a season suitable for the sound source according to the ratio of the seasonality of the keywords included in the lyrics. For example, the device 40 may extract a keyword or an entity included in the lyrics, and classify the seasonality of the extracted keywords according to a database stored in the storage unit into one of four seasons. Specifically, the seasonality of keywords such as 'flower', 'sea', 'deciduous leaf', and 'eye' can be classified into spring, summer, autumn, and winter, respectively. If the extracted keyword is not included in the database stored in advance in the storage unit, the device 40 classifies the seasonality of the extracted keyword as neutral or communicates with at least one server to classify the seasonality of the extracted keyword .

In step S730, the device 40 may set a period of interest based on a season suitable for the matching sound source. Specifically, the device 40 may determine a period of interest included in a season suitable for a matching sound source this year. For example, the device 40 may determine at least one month included in the season suitable for the matching sound source in twelve months, and determine the determined month as the period of interest. Also, the period of interest can be set over many years.

In step S740, the device 40 may collect likes of the first candidate musicians among a plurality of candidate musicians. The likes of a musician may also refer to an item that a user of a sound service web site checks to indicate empathy and recommendation for a particular musician. In general, the number of likes checked against a musician on a music service web site can be an indicator of the fandom of the musician.

In step S750, the device 40 may acquire the number of likes of the first candidate musicians increased during the period of interest based on likes of the first candidate musicians. Specifically, the number of likes of the first candidate musicians that have increased during the period of interest may correspond to the difference between the final likes and the first likes during the period of interest. As another example, the number of likes of the first candidate musicians increased during the period of interest may correspond to the difference between the highest likes and the lowest likes obtained during the period of interest.

In step S760, the device 40 may determine the score of the first candidate musicians based on the number of likes of the first candidate musicians that have increased during the period of interest. The score can be proportional to the number of likes increased during the period of interest. Specifically, the device 40 may apply the preset weights to the number of likes increased during the period of interest to determine the score.

In operation S770, the device 40 may determine a candidate musicians having a highest score among a plurality of candidate musicians as musicians suitable for a matching sound source. Specifically, the apparatus 40 determines the score for each of the plurality of candidate musicians by applying the same method as the method for determining the scores of the first candidate musicians described above through steps S700 to S770, The musician can be extracted.

FIG. 8 is a view for explaining an operation of collecting musician's data from a music service web site according to some embodiments.

Referring to 800 of FIG. 8, an example of a user interface screen provided at a sound source service web site is shown.

For example, if 'AAA' is set as the candidate musician in device 40 and the period of interest is set from January 1, 2017 to December 31, 2017, A total of 1,111 of the total likes (810) of 'AAA' musicians collected by the users of the candidate musician 'AAA' and checked by the users of the sound source service web site from January 1, 2016 to December 31, 2016 The number of likes of the "AAA" sound source that has been checked up to the day can be obtained. Additionally, the device 40 may determine the score of 'AAA' based on the number of likes of the 'AAA' musicians that have increased during the period of interest.

In addition, the device 40 can determine the score of the candidate musicians based on the comment data of the candidate musicians.

For example, the device 40 may collect comment data of a candidate musician from a music service web site and obtain the number of comments of a candidate musician that has increased during the period of interest based on the comment data of the candidate musician. In addition, the device 40 may determine the score of the candidate musicians based on the number of comments of the candidate musicians increased during the period of interest. The score can be proportional to the number of comments increased during the period of interest. Specifically, the device 40 may determine the score by applying a predetermined weight to the number of comments increased during the period of interest. The weight for the number of comments increased during the interest period is set to be lower than the weight for the number of likes increased during the interest period so that the proportion of likes data in determining the score can be set larger than the weight of the comment data.

In the above example, the device 40 collects the comment data of the candidate musician 'AAA' on the music service web site and transmits the entire comments 820 of the 'AAA' sound source created by the users of the sound source service web site (830) counts of "AAA" sound recordings created between January 1, 2017 and December 31, Additionally, the device 40 may determine the score of 'AAA' based on the number of comments of the 'AAA' sound source increased during the period of interest.

As another example, the device 40 may perform emotional analysis on the comments of the candidate musicians registered during the period of interest to generate comment emotion statistics of the candidate musicians during the period of interest, Based on the score of the interested musicians can be determined. The method of generating the comment emotion statistics of the candidate musician by the device 40 may be the same as the method of generating the comment emotion statistics of the candidate sound source by the device 10 described above with reference to FIG.

In addition, the device 40 may determine the score of the candidate sound source based on the fandom data of the candidate musician.

For example, the device 40 may collect follower data from an account of a candidate musicians from social media. Here, the account of a musician may include official accounts of social media managed by a musician or a company for the purpose of promoting musicians and sound recordings. In addition, the account of the musician may include personal accounts on social media created by the musician for private purposes. In addition, a musician's account follower can be a user who can receive the contents registered on the account of the musician. For example, the follower of the Instagram, the likes of Facebook, the followers of Twitter, Subscribers, and neighbors' blog neighbors. Generally, since a user registered as a follower can be considered a fan of a musician, the number of followers on a social media can be an indicator of the fandom of the musician.

In addition, the device 40 may obtain the number of followers of the candidate musicians that have increased during the period of interest, based on the follower data. Specifically, the number of followers of the candidate musicians who have increased during the period of interest may correspond to the difference between the final follower number and the initial follower number during the period of interest. The device 40 may also determine the score of the candidate musicians based on the number of followers of the candidate musicians increased during the period of interest. The score can be proportional to the number of followers that have increased during the period of interest. Specifically, the device 40 may apply the preset weights to the increased number of followers during the period of interest to determine the score. Accordingly, the device 40 can reflect the fandom of the candidate musicians to the scores of the candidate musicians.

In addition, the device 40 may determine the score of the candidate musicians based on the posting data of the candidate musicians.

For example, the device 40 may retrieve posts containing the title of the candidate musicians from social media and collect post data. In addition, the device 40 may obtain the number of posts of the candidate musicians that have increased during the period of interest, based on the post data. Specifically, the number of posts of the candidate musicians that have increased during the period of interest may correspond to the difference between the number of final posts and the number of original posts during the period of interest. In addition, the device 40 may determine the score of the candidate musicians based on the number of posts of the candidate musicians increased during the period of interest. The score can be proportional to the number of posts increased during the period of interest. Specifically, the device 40 may apply a preset weight to the number of posts increased during the period of interest to determine the score.

The weight for the number of followers and the number of posts increased during the interest period is set to be lower than the weight for the number of likes on the sound source service web site increased during the interest period so that the proportion of like data on the sound source service web site Can be set to be larger than the weight of the follower data and the bulletin data. Also, the device 40 generates the sentence sensitivity statistics of the candidate musicians during the period of interest based on the post data collected from the social media, in the same manner as the comment sensitivity statistics of the candidate musicians on the music service web site, .

9 is a flow diagram of a method for determining a plurality of candidate musicians in accordance with some embodiments.

In step S701, the device 40 may receive input from the user to set the time of interest. In addition, in step S702, the device 40 may collect sound source chart data at a point of interest from the sound source service web site.

In step S703, the device 40 can extract a plurality of sound sources that are higher than the critical order and have the same genre as the matching sound source, based on the sound source chart data. Specifically, the device 40 can collect the genre data of the matching sound source from the sound source service web site and determine the genre of the matching sound source. Alternatively, the device 40 may set the genre of the matching sound source by user input. In addition, the device 40 extracts sound sources that are over a critical rank in the sound source chart data, and collects genre data for sound sources that are over a critical rank in the sound source service web site. If the genre of the sound source It can be judged. Here, the threshold ranking may be a predetermined value or may be set by the user of the device 40. [

In step S704, the device 40 may set a plurality of musicians participating in the sound source extracted in step S703 as a plurality of candidate musicians. The plurality of musicians participating in the sound source may include a composer of the sound source, a lyricist, and a voice actor.

Accordingly, the device 40 can determine the musician who participated in the same sound source as the matching sound source among the sound sources that were popular in the past to be the candidate musicians.

In addition, a user of the device 40 may directly input a plurality of candidate musicians to the device 40. [ Accordingly, the user of the device 40 can confirm the objective evaluation data of the candidate musicians of interest through the device 40. [

10 is a configuration diagram of an apparatus for determining a sound source for performing a remake and an apparatus for determining a musician suitable for a sound source.

As described above, the data-based sound source producing apparatus 10 and the apparatus 40 for determining musicians suitable for the sound source may be the same apparatus. Hereinafter, a sound source producing apparatus 10 based on data and an apparatus 40 for determining a musician suitable for a sound source will be referred to as a sound source producing apparatus 1000 based on data.

10, a sound source producing apparatus 1000 based on data according to some embodiments includes a communication unit 1010, an input unit 1020, a control unit 1030, a display unit 1040, and a storage unit 1050 .

All of the components shown in FIG. 10 are not essential components of the data-based sound source producing apparatus 1000. The sound source producing apparatus 1000 based on the data may be implemented by more components than the components shown in FIG. 10, and the sound producing apparatus 1000 based on the data may be implemented by fewer components than the components shown in FIG. ) May be implemented.

The communication unit 1010 may include one or more components that enable data communication. For example, the communication unit 1010 may include a mobile communication unit and a local communication unit. The mobile communication unit transmits and receives radio signals including contents to at least one of a base station, an external terminal, and a server on a mobile communication network. The short-range wireless communication unit may use Wi-Fi, Wi-Fi Direct, Bluetooth, Bluetooth low energy (BLE), Near Field Communication unit (NFC) It is not.

The input unit 1020 means a means for the user to input data for controlling the sound source producing apparatus 1000 based on the data. For example, the input unit 1020 may include a touch pad (a contact type capacitance type, a pressure type resistive film type, an infrared ray detection type, a surface ultrasonic wave conduction type, an integral type tension measurement type, A mouse, a key pad, a dome switch, a jog wheel, a jog switch, and the like. However, the present invention is not limited thereto.

The control unit 1030 controls the overall operation of the sound source producing apparatus 1000 based on the data. For example, the control unit 1030 may include a central processor 1030 for controlling the communication unit 1010, the display unit 1040, and the like by executing programs stored in the storage unit 1050 of the sound source producing apparatus 1000 based on the data, .

The display unit 1040 displays and outputs information processed by the control unit 1030. For example, the display unit 1040 may display a user interface for selecting a virtual image, and a user interface for setting an operation of the virtual image.

In the case where the display unit 1040 and the touch pad have a layer structure and are configured as a touch screen, the display unit 1040 can be coupled to the input unit 1020. The display unit 1040 may be a liquid crystal display, a thin film transistor-liquid crystal display, an organic light-emitting diode, a flexible display, A display (3D display), and an electrophoretic display (electrophoretic display).

The storage unit 1050 may be a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (for example, SD or XD memory) (Random Access Memory) SRAM (Static Random Access Memory), ROM (Read Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), PROM (Programmable Read-Only Memory) A magnetic disk, and / or an optical disk.

Meanwhile, the above-described embodiments of the present invention can be embodied in a general-purpose digital computer that can be created as a program that can be executed by a computer and operates the program using a medium readable by a computer. In addition, the structure of the data used in the above-described embodiment can be recorded on a computer-readable medium through various means. Furthermore, the above-described embodiments may be embodied in the form of a recording medium including instructions executable by a computer, such as program modules, being executed by a computer. For example, methods implemented with software modules or algorithms may be stored in a computer readable recording medium, such as code or program instructions, which the computer can read and execute.

The computer-readable medium can be any recording medium that can be accessed by a computer, and can include volatile and nonvolatile media, removable and non-removable media. The computer-readable medium may include magnetic storage media, such as ROM, floppy disks, hard disks, and the like), optical storage media such as CD ROMs, DVDs, Do not. The computer-readable medium may also include computer storage media and communication media.

In addition, a plurality of computer-readable recording media can be distributed over networked computer systems, and data stored in distributed recording media, such as program instructions and codes, can be executed by at least one computer have.

It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the disclosed methods should be considered from an illustrative point of view, not from a restrictive point of view. The scope of the present invention is defined by the appended claims rather than by the foregoing description, and all differences within the scope of equivalents thereof should be construed as being included in the present invention.

Claims (10)

A method for determining a sound source for remake,
Receiving an input to set a period of interest and a plurality of candidate sound sources;
Collecting like data of a first candidate sound source from a sound source service web site;
Obtaining a number of likes of the first candidate sound source that has increased during the period of interest based on likes of the first candidate sound source;
Determining a score of the first candidate sound source based on the number of likes of the first candidate sound source increased during the interest period; And
Determining a candidate sound source of the highest score among the plurality of candidate sound sources as a sound source for remake;
≪ / RTI > The method according to claim 1,
Collecting comment data of the first candidate sound source from the sound source service web site; And
Further comprising obtaining a number of comments of the first candidate sound source that has increased during the period of interest based on the comment data of the first candidate sound source,
Wherein the score of the first candidate sound source is determined based further on the number of comments of the first candidate sound source increased during the interest period. 3. The method of claim 2,
Performing emotional analysis on comments of the first candidate sound source registered during the period of interest based on comment data of the first candidate sound source to generate comment emotion statistics of the first candidate sound source during the period of interest Further comprising:
Wherein the score for the first candidate sound source is determined based further on a comment sensibility statistic of the first candidate sound source during the period of interest. The method according to claim 1,
Retrieving a post including the title of the first candidate sound source from the social media and collecting post data;
Further comprising the step of acquiring the number of posts of the first candidate sound source increased during the period of interest based on the bulletin data,
Wherein the score for the first candidate sound source is determined based further on the number of posts of the first candidate sound source increased during the interest period. The method according to claim 1,
Wherein the step of receiving an input for setting the plurality of candidate sound sources comprises:
Receiving an input setting a point of interest;
Collecting sound source chart data at the point of interest from the sound source service web site; And
And setting a plurality of sound sources higher than the critical order in the sound source chart data of the point of interest as the plurality of candidate sound sources. The method according to claim 1,
Obtaining lyrics of the sound source for remake;
Extracting a keyword from the lyrics, and determining a season suitable for the sound source for the remake based on the keyword. An apparatus for determining a sound source for remake,
An input unit for receiving an input for setting a period of interest and a plurality of candidate sound sources;
A communication unit for collecting likes of first candidate sound sources from a sound source service web site;
Acquiring a likelihood of the first candidate sound source that has increased during the interest period based on likes of the first candidate sound source and based on the likelihood of the first candidate sound source increased during the interest period, A controller for determining a score of the sound source and determining the candidate sound source of the highest score among the plurality of candidate sound sources as a sound source for remake,
/ RTI > 8. The method of claim 7,
Wherein the communication unit collects comment data of the first candidate sound source from the sound source service web site,
Wherein the control unit obtains the number of comments of the first candidate sound source increased during the period of interest based on the comment data of the first candidate sound source,
Wherein the score of the first candidate sound source is determined based further on the number of comments of the first candidate sound source increased during the interest period. 9. The method of claim 8,
Wherein the control unit performs emotional analysis on comments of the first candidate sound source registered during the period of interest based on the comment data of the first candidate sound source to calculate comment sensibility statistics of the first candidate sound source during the interest period Generate,
Wherein the score for the first candidate sound source is determined based further on a comment sensibility statistic of the first candidate sound source during the period of interest. 19. A computer program stored on a computer readable recording medium, the program comprising instructions, and wherein the instructions, when executed by a computer, perform the method according to claim 1.

Images