JP2013182045A - Karaoke server device and information notification method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a technique for supporting the motivation and willingness to practice the karaoke.SOLUTION: An SNS server 3 stores analysis data (results from precise analysis of singing skill levels of karaoke) of lyrics transmitted from terminals such as karaoke players 4 and smartphones 6, into a user database. In response to a request, from a terminal (a smartphone 6 or a personal computer 7) of a user logging in to a karaoke member service, for introduction of a group of users whose singing skill levels are similar to his or her singing skill level, the SNS server 3 generates group information including a group list of users whose analysis data of singing is similar to that of the user of a request source, on the basis of analysis data of singing stored in the user database. The group information includes information for notifying services allowing information exchange within the group. Then, the SNS server 3 replies the generated group information to the terminal of a request source.

Description

  The present invention relates to a server device for a karaoke service that notifies a terminal device of information obtained by grouping users having similar analysis result patterns based on a result of analyzing karaoke singing voice.

  Conventionally, a karaoke system is equipped with a scoring function for evaluating a singer's singing. In this type of scoring function, the pitch deviation of the singing voice with respect to the guide melody (melody line) serving as a scoring standard is calculated for each singing section. Furthermore, special singing techniques such as “shakuri” and “vibrato” are detected from the singing voice and added to the evaluation.

  Generally, the singer can see the scoring results as numerical information presented from the karaoke system after singing. Alternatively, a graph that visualizes the degree of pitch shift for each performance section and the state of singing skill can be seen. With reference to these scoring results, singers can practice singing while modifying their singing methods.

  Further, in Patent Document 1, advice information is associated in advance for each phrase of a music piece, and a practitioner's song is scored while appropriately presenting the advice information during the performance of the music piece, and a scoring result is displayed. Technology is disclosed.

JP 2002-351477 A

  In the singing practice method found in the prior art, the practitioner is made aware of the progress of the singing by presenting the result of quantitatively singing the singing voice by the algorithm installed in the karaoke performance device. Then, the practitioner continues to practice singing according to the progress of his / her singing. Moreover, the karaoke apparatus described in Patent Document 1 associates advice information determined in advance for each specific phrase of a music piece, and presents the advice information as appropriate in the performance process of the music piece. The practitioner reflects the advice information in his singing method and practice.

  These singing practice methods are based on the assumption that a practitioner performs practice work by himself / herself in a karaoke box or the like in which a commercial karaoke apparatus is installed. However, it is difficult for such an independent practice method to continue the practice for a long time from the viewpoint of motivation for practice and maintenance of motivation.

  The present invention has been made to solve the above problems. Its purpose is to provide technology to support motivation and motivation for singing practice.

  The invention according to claim 1 made to achieve the above object relates to a karaoke server apparatus that communicates with a plurality of terminal apparatuses via a network. The karaoke server apparatus according to the present invention includes an acquisition unit, a storage unit, a grouping unit, and a transmission unit.

  The acquisition means includes, for karaoke singing, analysis information indicating an analysis result analyzed based on at least one of pitch accuracy or singing skill, and identification information for identifying a user who performed the karaoke singing get. The storage means stores the analysis information and identification information acquired by the acquisition means in association with each other. The grouping means groups identification information corresponding to analysis information having a similar analysis result of at least one of pitch accuracy and singing skill from the analysis information stored in the storage means. The transmission means transmits group information for notifying a service capable of exchanging information in the group by any of a plurality of terminals to the terminal device using the identification information grouped by the grouping means. .

  According to the present invention, based on the accumulated analysis information of singing of various users, information on which a user uses group information related to services that can exchange information between users with similar accuracy of pitch and analysis of singing skill Can be sent to the terminal. By having the user browse this group information through the information terminal, it is possible to introduce other users who have similar exercises to the user who practice singing. Thereby, the user who practices singing can discover the friend who shares the exercise subject for improvement, and it becomes possible to exchange information. As a result, the motivation and motivation for practicing, which has been difficult in practice work by the user's own power, are promoted, and the effect of improving the efficiency of singing can be obtained.

  Furthermore, as a device for introducing a group member who can sympathize more strongly for a user who is practicing singing, it may be configured as described in claim 2. That is, the analysis information acquired by the acquisition means includes music identification information for identifying the sung music. The grouping means identifies analysis information in which at least one of the music corresponding to the music identification information, the music genre, or the music artist matches from the analysis information stored in the storage means, and the identified analysis From the information, identification information corresponding to analysis information having similar analysis results of at least one of the accuracy of the pitch indicated by the analysis information and the singing skill is grouped.

  By configuring in this way, it is possible to introduce users of a group having a common hobby and preference from the viewpoint of the sung music, genre, and artist. Therefore, empathy is likely to be formed between the introduced group members. As a result, it is possible to effectively promote motivation and motivation for singing practice.

  Alternatively, as a device for judging the similarity of the singing analysis results in more detail, it is conceivable to configure as described in claim 3. That is, the analysis information acquired by the acquisition means includes the analysis result analyzed based on at least one of the accuracy of the pitch or the singing skill for each analysis section obtained by dividing the sung song at a predetermined interval. Contains information to indicate. The grouping means groups identification information corresponding to analysis information having similar analysis results of at least one of pitch accuracy and singing skill for each analysis section from analysis information stored in the storage means.

  By comprising in this way, the similarity of the analysis result of a song can be judged in detail for every analysis area of a predetermined interval. As a result, users with similar analysis results can be grouped in a manner that also considers the nature of the user's singing that changes for each analysis section.

  On the other hand, the analysis section in which the singing analysis is performed is exemplified as a performance section determined in the refrain format of the music. The refrain form is a form of music composed of repetitions of the first half of a narrative melody and the latter half of the main melody. Taking the refrain form in Japanese pop songs as an example, music is generally composed of repetition of the first half part called A melody and B melody and the second half part called Sabi. However, the composition of the refrain format may be different for each song.

  Therefore, a configuration as described in claim 4 is preferable. That is, the analysis information acquired by the acquisition means includes information indicating an analysis result for each analysis section corresponding to the refrain format of the sung song. The grouping means specifies analysis information having a similar refrain format of the music in the analysis information from the analysis information stored in the storage means, and corrects the pitch indicated by the analysis information from the specified analysis information. The identification information corresponding to the analysis information having similar analysis results of at least one of the singing techniques is grouped.

  In this way, by making the analysis result of singing performed on music with similar Refrain format as a requirement for grouping, users with similar analysis results for each analysis section based on Refrain format are narrowed down accurately Can be grouped.

  Furthermore, you may comprise as described in Claim 5. That is, the grouping means is similar in the analysis result of at least one of pitch accuracy and singing skill in the analysis section corresponding to the refrain A melody or rust shown in the analysis information among the specified analysis information. The identification information corresponding to the analysis information to be grouped is grouped. By configuring in this way, for example, it becomes possible to form a group of users having a singing pattern in which only a pitch difference is present only in A melody or chorus. Alternatively, it is possible to form a group of users having a singing pattern in which a specific singing technique is expressed only in A melody or chorus. In such a manner, it is possible to perform grouping in detail in a manner that also takes into account the nature of the user's singing that changes for each refrain type section.

  Next, the karaoke server device according to claim 6 has the following characteristics. That is, the analysis information acquired by the acquisition means includes at least information indicating the frequency of occurrence of a specific singing technique for each analysis section as an analysis result regarding the singing technique. And a grouping means groups the identification information corresponding to the analysis information with which the appearance frequency of the singing skill for every analysis area shown by analysis information is similar. In this way, for example, it is possible to form a group of users having a singing pattern in which performance techniques such as “shakuri” and “vibrato” are manifested in a specific analysis section. In this manner, users can be grouped in a manner that takes into account the similarity based on the appearance frequency of singing techniques.

  Next, the karaoke server device according to claim 7 has the following characteristics. That is, the transmission means transmits the group information to the terminal device corresponding to the destination registered in association with the identification information belonging to the group. In this way, group information for notifying a service that allows information exchange within a group can be transmitted to terminals used by members belonging to the group.

  On the other hand, the invention described in claim 8 made to achieve the above object relates to an information notification method for notifying information to a terminal device used by a user through a network. According to the information notification method of the eighth aspect, the same effect as the above-described effect described for the invention of the first aspect can be obtained.

1 is a block diagram showing a schematic configuration of a karaoke network system 1. FIG. (A) The structural example of music data, (b) Explanatory drawing which shows the example of a melody area. Explanatory drawing which shows an example which accumulate | stores scoring data. Explanatory drawing which shows an example of the group member introduction screen displayed on a user's terminal. The flowchart which shows the procedure of a karaoke application process. The flowchart which shows the procedure of a karaoke service process. The flowchart which shows the procedure of a grouping process.

Hereinafter, an embodiment of the present invention will be described with reference to the drawings. In addition, this invention is not limited to the following embodiment at all, and can be implemented in various aspects.
[Description of configuration of karaoke network system 1]
As shown in FIG. 1, the karaoke network system 1 includes a music distribution server 2 and an SNS server 3 at a karaoke center, a karaoke performance device 4 and a remote control terminal 5 at a karaoke store, and a smartphone 6 and a personal computer 7 used by a user. It is formed by being communicably connected via the Internet 10. In FIG. 1, for simplicity of explanation, one device such as a karaoke performance device 4, a remote control terminal 5, a smartphone 6, and a personal computer 7 is shown. In practice, however, these devices are implemented in a number of connected ways.

  The music distribution server 2 and the SNS server 3 are installed in the karaoke center. Among these, the music distribution server 2 is a server device for karaoke content distribution that distributes content such as karaoke music data in response to a request from the karaoke performance device 4 or the smartphone 6. The music distribution server 2 performs data communication with the karaoke performance device 4, the smartphone 6, and the personal computer 7 via the Internet 10 via the router 50 in the karaoke center. The music distribution server 2 is composed of an information processing apparatus having a server function. The music distribution server 2 includes a music data database for storing music data for distribution and various information related to the music data in a hard disk drive as an external storage device.

  The SNS server 3 is a server device for SNS that provides a social networking service (hereinafter referred to as SNS) based on user-specific stored data of karaoke. The karaoke network system 1 of the present embodiment is a service for enjoying karaoke using a karaoke application installed on a smartphone 6 carried by the user in addition to a service for enjoying karaoke using a karaoke performance device 4 installed in a karaoke store. I will provide a. Therefore, in order to enable the user to access the user-specific stored data regardless of whether the karaoke performance device 4, the smart phone 6 or the personal computer 7 is used, the SNS server 3 installed in the karaoke center stores the user's stored data. Is managed centrally. When using the user-specific stored data, the SNS server 3 is accessed from any terminal, and the user is logged in to the karaoke member service system using account information that can uniquely identify the user.

  The SNS server 3 includes an information processing apparatus having a server function, which includes a CPU 31, a RAM 32, a ROM 33, a hard disk drive (HDD) 34, a communication unit 35, and the like. The CPU 31 is a device that executes control and various calculations for each part of the SNS server 3 in accordance with data stored in the RAM 32 and the ROM 33. The RAM 32 is a storage device used as a main memory that is directly accessed from the CPU 31. The ROM 33 is a non-volatile storage device, and stores BIOS, read-only data, and the like. The HDD 34 is a storage device for storing programs, various databases, and the like. The communication unit 35 is a communication interface for connecting the SNS server 3 to the Internet 10 and performing data communication with the karaoke performance device 4, the remote control terminal 5, the smartphone 6, and the personal computer 7. The SNS server 3 performs data communication with the karaoke performance device 4, the remote control terminal 5, the smartphone 6, and the personal computer 7 via the Internet 10 via the router 50 in the karaoke center.

  The SNS server 3 stores a user database in the HDD 34 for accumulating data for each user who has the authority to use the karaoke member service, which is an SNS provided by the present system. The user database stores information such as analysis data, recording data, and user accounts. The analysis data is the identification result of the user who performed the singing and the identification information of the music, which is an analysis result obtained by precisely analyzing the skill level of the karaoke singing performed using the karaoke application of the karaoke performance device 4 or the smartphone 6. Are registered in association with each other. The recorded data corresponds to the identification information of the user who performed the singing of the singing voice of the karaoke performed using the karaoke application of the karaoke performance device 4 or the smartphone 6, and the identification information of the music. It is registered. The user account includes personal information including identification information (user identifier) of a user who has authority to use the karaoke member service, login authentication password, user name, user profile, contact e-mail address, etc. for each user. Is registered.

  The SNS server 3 transmits various types of information to the user's terminal (smart phone 6 or personal computer 7) based on the various types of information stored in the above-described user database in order to support the user's singing improvement over the Internet 10. It has the function to do. As its main function, the SNS server 3 is requested to introduce a group of users whose singing skill levels are similar from the terminal of the logged-in user, so that the analysis data of the logged-in user's song can be obtained. A group list of users indicating similarity is generated and returned to the requesting terminal. Details of this process will be described later.

  On the other hand, in the karaoke store, a karaoke performance device 4, a monitor 41, and a remote control terminal 5 are installed as devices for karaoke service. In the karaoke store, a wireless LAN access point 51, a switching hub 52, and a router 53 are installed as communication devices.

  The karaoke performance device 4 is a commercial karaoke device installed in each karaoke room in the karaoke store. The karaoke performance device 4 performs data communication with the music distribution server 2 and the SNS server 3 of the karaoke center via the Internet 10 via the switching hub 52 and the router 53. Karaoke music data is regularly downloaded and distributed from the music distribution server 2 of the karaoke center to the karaoke performance device 4. The karaoke performance device 4 receives the user's request instruction from the remote control terminal 5 and performs the requested karaoke musical piece.

  Moreover, the karaoke performance apparatus 4 produces the analysis data which analyzed the skill level of the singing by a user precisely, when performing a karaoke performance. The analysis data is obtained by quantifying the result of detecting the accuracy of the singing pitch by the user and the appearance frequency of a specific singing technique such as “shakuri” and “vibrato” for each predetermined performance section. The karaoke performance device 4 scores the analysis result of the user's song and displays it on the monitor 41 as the analysis score result.

  Further, the karaoke performance device 4 transmits the analysis data obtained by analyzing the song to the SNS server 3 in association with the identification information of the user who performed the song and the identification information of the song. Moreover, the karaoke performance apparatus 4 matches the recording data which recorded the user's singing voice with the identification information of the user who performed singing, and the identification information of a music, and transmits to the SNS server 3. Thereby, analysis data and recording data of many users are accumulated in the SNS server 3.

  The remote control terminal 5 is a terminal for remotely operating the karaoke performance device 4 in the karaoke room. The remote control terminal 5 accepts an operation for making a request for music that the user desires to perform from the user. Then, the operation signal is transmitted to the karaoke performance device 4 to be operated by wireless LAN communication or infrared communication. The remote control terminal 5 is wirelessly connected to the wireless LAN access point 51 and performs data communication with the SNS server 3 of the karaoke center via the Internet 10. The remote control terminal 5 requests the SNS server 3 to authenticate the user who intends to log in to the karaoke member service using the remote control terminal 5, and receives the authentication result. Since other functions and configurations of the karaoke performance device 4 and the remote control terminal 5 are in accordance with known techniques, detailed description thereof is omitted here.

  The smartphone 6 is a well-known high-function mobile phone terminal that can be used by installing various applications. In the present embodiment, it is assumed that the smartphone 6 is installed with a karaoke application for smartphones that provides some functions of the karaoke performance device 4. Functions provided by this karaoke application include login / logout procedures for karaoke member services, music search, karaoke performance of music, recording / playback of singing voice, creation of singing analysis data, information exchange with other users, etc. Can be mentioned.

  The smartphone 6 wirelessly connects to a public wireless WAN base station 54 and performs data communication with the music distribution server 2 and the SNS server 3 of the karaoke center via the Internet 10. The smartphone 6 receives a music request instruction from the user and performs streaming playback of the requested music. Music data is stream-distributed to the smartphone 6 on demand from the music distribution server 2 of the karaoke center.

  Moreover, the smart phone 6 produces the analysis data which analyzed precisely the skill level of the karaoke song by a user. The singing analysis method and analysis data configuration are the same as those of the karaoke performance device 4. The smartphone 6 transmits the analysis data obtained by analyzing the song to the SNS server 3 in association with the identification information of the user who performed the song and the identification information of the music. Moreover, the smart phone 6 matches the recording data which recorded the user's singing voice | voice with the identification information of the user who performed singing, and the identification information of a music, and transmits to the SNS server 3. FIG. Thereby, analysis data and recording data of many users are accumulated in the SNS server 3.

  Furthermore, the smartphone 6 has a function of receiving various types of information from the SNS server 3 to support the user's singing progress and presenting the information to the user. As its main function, the smartphone 6 requests the SNS server 3 to introduce a group of users whose singing skill levels are similar to those of the user based on an operation instruction from the logged-in user. Based on the group information returned from the SNS server 3, a list of members of the group is displayed. Furthermore, the smart phone 6 performs the process regarding information exchange with the other party specified by the user from among the members of the group displayed based on the group information. Details of these processes will be described later.

  The personal computer 7 is a well-known personal computer. In this embodiment, the personal computer 7 is assumed to have various functions such as login / logout procedures for the karaoke member service and information exchange with other users as functions for the karaoke member service. The personal computer 7 performs data communication with the SNS server 3 of the karaoke center via the Internet 10 via the router 55 installed in the user's home. The personal computer 7 receives various types of information from the SNS server 3 to support the user's singing improvement, and presents the information to the user. Its main functions are the same as those described above for the smartphone 6.

  The user uses the smartphone 6 or the personal computer 7 to exchange information with other users who have similar karaoke singing skill levels or to practice singing while listening to the recorded voices of other users' singing.

[Example composition of music data]
The configuration of karaoke music data, which is assumed in this embodiment, will be described with reference to FIG.

  As shown in FIG. 2A, the music data played by the karaoke performance device 4 or the smartphone 6 includes metadata, MIDI messages, and melody section information. In the metadata, a music identifier, which is music identification information, information indicating a music genre, and the like are registered. Examples of the information indicating the genre of the music include enka, nursery rhymes, rock, ballad, jazz, animation, and the type of work. The MIDI message includes performance data in MIDI format for playing a melody of a karaoke accompaniment part and guide melody data indicating a melody to be sung as a singing part. Guide melody data is used as an evaluation standard for scoring and analyzing songs.

  The melody section information is information that defines a performance section that is determined based on the refrain format of the music. In this melody section information, information on the melody type and performance time is defined for each melody section constituting the music. FIG. 2B shows an example of a melody section based on the music refrain format. Taking the refrain form in Japanese pop songs as an example, the music is composed of a melody section that includes an interlude and an end part in the repetition of the first half part called A melody and B melody and the second half part called Sabi. It is common. However, depending on the music, the configuration of the melody section may be different from the example shown in FIG. Alternatively, a performance section may be set for each predetermined performance time. For example, a performance section may be set every performance time of 5 seconds.

  When the user's singing is analyzed in the karaoke performance device 4 or the smartphone 6, the accuracy of the singing pitch is determined for each individual melody section such as A melody, B melody, and chorus based on the melody section information included in the music data. The number of appearances of singing techniques such as sheaths and vibrato is determined.

[Analysis data storage example]
The configuration of analysis data stored in the user database of the SNS server 3 will be described with reference to FIG. In the user database of the SNS server 3, many pieces of singing analysis data transmitted from the terminals of the karaoke performance device 4 and the smartphone 6 are accumulated. As shown in FIG. 3, each analysis data includes various types of information such as a user identifier, a music identifier, a pitch shift pattern, the number of screams, and the number of vibratos.

  The user identifier is unique identification information for uniquely identifying a member of the karaoke member service. As the user identifier, for example, an e-mail address owned by the user, a random character string, or the like is used. The music identifier is unique identification information (for example, a music number) for uniquely identifying a karaoke music. The pitch shift pattern is pattern data obtained by quantifying the degree of pitch shift of the singing with respect to the guide melody when the music is recently sung. The pitch deviation pattern is composed of a number sequence of analysis results determined for each individual melody section indicated by the melody section information of the sung music. The number of scribbles is pattern data indicating the number of appearances of “scribbles” detected when the music was recently sung. The number of screaming is composed of a sequence of the number of occurrences of screaming counted for each melody section indicated by the melody section information of the sung song. The vibrato number is pattern data indicating the number of appearances of “vibrato” detected when the music is recently sung. The vibrato number is composed of a number sequence of the number of appearances of vibrato counted for each melody section indicated by the melody section information of the sung music.

[Example of group member introduction screen]
An example of the group member introduction screen displayed on the display of the smartphone 6 or the personal computer 7 will be described with reference to FIG. A group member introduction screen as shown in FIG. 4 is displayed on the display of the smartphone 6 or the personal computer 7 based on the group information returned from the SNS server 3 in response to a request from the terminal.

  As shown in FIG. 4, the group member introduction screen displays a list of users who request the introduction of group members and users whose skill level of singing is close (group members who are good at singing or who are poor at singing). Is done. The members of the group displayed here are all member users who have an account for the karaoke member service. In each member item, information such as the name of the member, the degree of similarity, identification information of the corresponding music piece, and a comment received from the member are displayed. As the name of the member, for example, a common name or a nickname in the karaoke member service is used. The similarity is a numerical value indicating the degree of similarity between the analysis data of the requesting user and the analysis data of the member. The larger the similarity value, the higher the degree of coincidence of the analysis data.

  The requesting user can select a specific member on the terminal from the list of group members displayed on the group member introduction screen. Thereby, browsing of the profile of the selected member, information exchange with the member (transmission and reception of chats and messages), and recording data of singing by the user can be heard.

[Description of Karaoke application processing]
The procedure of the karaoke application process executed by the smartphone 6 will be described with reference to the flowchart of FIG.

  If the operation which instruct | indicates execution of a karaoke application from a user is received, the smart phone 6 will start a karaoke application by S100. In next S <b> 102, the smartphone 6 logs in to the karaoke member service through a predetermined login procedure with the SNS server 3.

  The login to the karaoke member service is performed, for example, by the following procedure. First, the smartphone 6 receives an input of a user identifier and a login authentication password from the user. Next, the smartphone 6 transmits the input user identifier and password to the SNS server 3 and requests login authentication. The SNS server 3 performs authentication by referring to the user account of the user database for the transmitted user identifier and password. When login authentication succeeds in the SNS server 3, a session corresponding to the account of the authenticated user (hereinafter also referred to as a login user) is generated. Thereafter, communication performed between the smartphone 6 and the SNS server 3 is handled as being associated with the account of the login user until the login user performs a procedure of logging out from the karaoke member service.

  In next S104, the smartphone 6 branches the process according to the function of the karaoke application selected by the user. When the karaoke function is selected (S104: karaoke function), the process proceeds to S106. In S <b> 106, the smartphone 6 requests the SNS server 3 to search for music. Here, when the smartphone 6 issues the request to the SNS server 3, the music search conditions (music name, artist name, genre, keyword, etc.) designated by the user are transmitted to the SNS server 3 as input parameters. . In next S <b> 108, the smartphone 6 displays a list of music search results notified from the SNS server 3 on the display. In S <b> 110, the smartphone 6 requests the SNS server 3 to play the music selected by the user from the list of displayed music search results.

  In S112, the smartphone 6 performs a karaoke performance based on the music data distributed from the music distribution server 2 in response to the performance request. The performance based on the music data is performed by streaming that performs the music simultaneously while receiving the music data from the music distribution server 2. In addition, the smartphone 6 analyzes the singing by the user and records the singing voice in parallel with the performance of the music. In S114 after the performance of the music, the smartphone 6 displays the analysis result of this song on the display. In the singing analysis, for each individual melody section indicated by the melody section information of the music data, a shift in the pitch of the singing, the number of occurrences of screaming and vibrato, and the like are detected. The detection result is recorded as detection data.

  In next S <b> 116, the smartphone 6 inquires of the login user whether to reflect the analysis result of the current song on the SNS server 3. When an answer to reflect the analysis result of this song on the SNS server 3 is received from the user (S116: YES), the process proceeds to S118. On the other hand, when an answer indicating that the analysis result of this song is not reflected on the SNS server 3 is received from the user (S116: NO), the process proceeds to S136.

  In S <b> 118, which proceeds when an answer to reflect the analysis result of the singing on the SNS server 3 is received, the smartphone 6 corresponds to the analysis data regarding the current singing with the identification information of the login user and the identification information of the sung song. At the same time, it transmits to the SNS server 3. Moreover, in S120, the smart phone 6 matches the recording data which recorded this singing voice | voice with the identification information of a login user, and the identification information of the sung music, and transmits with respect to the SNS server 3. FIG. After S120, the smartphone 6 proceeds to S136.

  On the other hand, when the SNS function is selected in S104 (S104: SNS function), the smartphone 6 proceeds to S122. In S122, the smartphone 6 requests the SNS server 3 to introduce a group member similar to the level of the singing skill of the login user. Here, when the smartphone 6 issues the request to the SNS server 3, information indicating which analyzed music is requested to be introduced (for example, identification information of the user and the music) and input parameters to the SNS server 3. Send.

  In S124, the smartphone 6 displays the group member introduction screen on the display based on the group information returned from the SNS server 3 as an answer to the request. FIG. 4 shows an example. In S126, the smartphone 6 displays the profile of the member selected and instructed by the login user from the group member introduction screen displayed in S124. Here, the smartphone 6 requests the SNS server 3 to browse the profile of the member selected by the login user. Then, the smartphone 6 displays the profile information of the member returned from the SNS server 3 in response to the browsing request on the display.

  In next S128, the smartphone 6 branches the process according to the SNS function selected by the user. When the chat function is selected (S128: chat function), the smartphone 6 proceeds to S130. In S <b> 130, the smartphone 6 requests the SNS server 3 to chat with the logged-in user and a member selected from the group, and executes chat processing. Chat here is a service for real-time communication between users using the Internet 10. Here, a service is assumed in which a logged-in user and a member selected from within a group exchange information by interacting with characters. After S130, the smartphone 6 proceeds to S134.

  On the other hand, when the recorded data reproduction function is selected in S128 (S128: recorded data reproduction function), the smartphone 6 proceeds to S132. In S132, the smartphone 6 performs streaming playback of the recording data of the song by the members in the group selected by the user. Here, when the smartphone 6 issues a reproduction request for recording data to the SNS server 3, information (user and song identification information) indicating which member's recording data related to which music is to be reproduced is input as an SNS. Send to server 3. Then, the smartphone 6 performs streaming reproduction of the recording data transmitted from the SNS server 3 as a response to the reproduction request. After S132, the smartphone 6 proceeds to S134.

  In next S134, the smartphone 6 determines whether or not an instruction to end the SNS function has been received from the login user. When the instruction to end the SNS function is not received (S134: NO), the smartphone 6 returns to S124. On the other hand, when the instruction to end the SNS function is received (S134: YES), the smartphone 6 proceeds to S136.

  In S136, it is determined whether an instruction to end the karaoke service has been received from the user. If the instruction to end the karaoke service has not been received (S136: NO), the smartphone 6 returns to S104. On the other hand, when an instruction to end the karaoke service is received from the user (S136: YES), the smartphone 6 proceeds to S138.

  In S138, the smartphone 6 notifies the SNS server 3 of logout from the karaoke member service. As a result, the session related to the login user ends. After S138, the smartphone 6 ends this process.

  Note that the user can also log in to the karaoke member service using the personal computer 7 and use the above-described SNS function. In that case, the procedure of the process executed by the personal computer 7 conforms to the above S122 to S134. Moreover, even when the user sings with the karaoke performance device 4 installed in the karaoke store, the analysis result of the user's singing can be reflected in the SNS server 3. In that case, the procedure of the process which the karaoke performance apparatus 4 performs applies to said S112-S120. However, when the karaoke performance device 4 performs the karaoke performance of the music, the performance is performed based on the music data downloaded to the karaoke performance device 4 instead of streaming playback (download playback).

[Description of Karaoke service processing]
The procedure of the karaoke service process executed by the CPU 31 of the SNS server 3 will be described with reference to the flowchart of FIG.

  In S200, the CPU 31 performs initialization processing at the time of system startup. In the next step S202, the CPU 31 sorts the requests received via the Internet 10 from any one of the karaoke performance device 4, the remote control terminal 5, the smartphone 6 or the personal computer 7, and branches the processing according to the request contents. .

  In S202, when a request for music search is received from the smartphone 6 which is a communication partner corresponding to a logged-in user (hereinafter, a login user) (S202: music search), the CPU 31 proceeds to S204. In S204, the CPU 31 searches the music database for music that satisfies the search condition transmitted from the request source terminal. In the next S208, the CPU 31 returns data indicating a list of music retrieved from the music database to the requesting terminal. After S208, the CPU 31 proceeds to S240.

  On the other hand, in S202, when a music performance request is received from the smartphone 6 that is a communication partner corresponding to the login user (S202: music performance), the CPU 31 proceeds to S210. In S210, the music data corresponding to the music identification information transmitted from the request source terminal is streamed from the music distribution server 2. After S210, the CPU 31 proceeds to S240.

  On the other hand, in S202, when a request for registering analysis data of singing by the login user is received from the karaoke performance device 4 or the smartphone 6 which is a communication partner corresponding to the login user (S202: analysis data registration), the CPU 31 performs S212. Proceed to In S212, the CPU 31 registers the analysis data transmitted from the request source terminal in the user database in association with the identification information of the login user and the identification information of the sung song. FIG. 3 shows an example of accumulation of analysis data. If past analysis data related to the same music of the same user has already been registered in the user database, the CPU 31 overwrites the newer analysis data with the older analysis data. After S212, the CPU 31 proceeds to S240.

  On the other hand, in S202, when a request for registering recording data of singing by the login user is received from the karaoke performance device 4 or the smartphone 6 which is a communication partner corresponding to the login user (S202: recording data registration), the CPU 31 performs S214. Proceed to In S214, the CPU 31 registers the recording data transmitted from the request source terminal in the user database in association with the identification information of the login user and the identification information of the sung music. If past recording data related to the same music of the same user has already been registered in the user database, the CPU 31 overwrites the older recording data with the newer recording data. After S214, the CPU 31 proceeds to S240.

  On the other hand, in S202, when a request for introducing a group member similar to the skill level of the logged-in user's singing is received from the smartphone 6 or the personal computer 7 which is a communication partner corresponding to the logged-in user (S202: group introduction), the CPU 31 Advances to S216. In S216, the CPU 31 uses the input parameter (identification information of the analyzed music for which introduction is requested) transmitted from the request source terminal and the analysis data stored in the user database, and A user corresponding to other analysis data similar to the analysis data of the music is searched. Then, the CPU 31 groups the searched user and the login user. A detailed procedure of the grouping process in S216 will be described later.

  In next S218, the CPU 31 returns group information including a list of members grouped in the grouping process in S216 to a predetermined destination corresponding to the login user. In addition to the grouped member list, the group information may include information on similarity indicating the degree of similarity with the scoring data of each member, and information such as comments input from each member. . Alternatively, the group information may include information related to a means for exchanging information with each member (for example, an e-mail address of a contact address or an access destination URL for exchanging information).

  It is conceivable that the created group information is returned as, for example, Web data to the IP address of the terminal that is the communication partner in the session corresponding to the login user. Alternatively, it is also conceivable to send the created group information to, for example, an e-mail address owned by the requesting login user as e-mail data. Or you may transmit the created group information with respect to members of groups other than the said login user. After S218, the CPU 31 proceeds to S240.

  On the other hand, in S202, when a request for browsing a profile of another user is received from the smartphone 6 or the personal computer 7 which is a communication partner corresponding to the login user (S202: profile browsing), the CPU 31 proceeds to S220. In S220, the CPU 31 reads profile information corresponding to the user identification information designated from the request source terminal from the user account information stored in the user database. Then, the CPU 31 returns the read profile information to the request source terminal. After S220, the CPU 31 proceeds to S240.

  On the other hand, in S202, when the request for reproducing the recorded data is received from the smartphone 6 or the personal computer 7 which is the communication partner corresponding to the logged-in user (S202: Recorded data reproduction), the CPU 31 proceeds to S222. In S222, the CPU 31 records the recording data corresponding to the input parameters (the user and music identification information corresponding to the recording data to be reproduced) transmitted from the requesting terminal from the recording data stored in the user database. Is distributed to the requesting terminal. After S222, the CPU 31 proceeds to S240.

  On the other hand, in S202, when a request for chatting is received from the smartphone 6 or the personal computer 7 which is a communication partner corresponding to the login user (S202: chat processing), the CPU 31 proceeds to S224. In S224, the CPU 31 determines whether or not a user designated as a chat partner with the requesting login user (hereinafter referred to as a transmission destination user) is currently logged in from the smartphone 6 or the personal computer 7.

  When the transmission destination user is logged in (S224: YES), the CPU 31 proceeds to S226. In S226, the CPU 31 transfers the log-in user message (for example, character information) transmitted from the request source terminal to the communication partner terminal in the session corresponding to the destination user. On the other hand, when the destination user is not logged in (S224: NO), the CPU 31 proceeds to S228. In S228, the CPU 31 accumulates the login user's message (for example, character information) transmitted from the request source terminal in the user database as a message addressed to the destination user. After S226 and S228, the CPU 31 proceeds to S240.

  On the other hand, in S202, when the user receives a request to log in or log out from any one of the remote control terminal 5, the smartphone 6, or the personal computer 7 (S202: login / logout), the CPU 31 proceeds to S230. In S230, the CPU 31 determines whether or not the request is a user login. When the request is login (S230: login), the CPU 31 determines whether or not a message addressed to the login user is accumulated in the user database (S232). When the message addressed to the login user is accumulated (S232: YES), the CPU 31 proceeds to S234. On the other hand, when the message addressed to the login user is not accumulated (S232: NO), the CPU 31 proceeds to S236.

  In S234, which proceeds when the message addressed to the logged-in user is accumulated, the CPU 31 transmits the accumulated message addressed to the logged-in user to the requesting terminal (the smartphone 6 or the personal computer 7). In S236, the CPU 31 generates a session corresponding to the login user. Until the login user performs a procedure for logging out by generating a session, communication performed between the request source terminal and the SNS server 3 is handled as being associated with the account of the login user.

  On the other hand, when the request is logout in S230 (S230: logout), the CPU 31 proceeds to S238. In S238, the CPU 31 ends the session that has been performed with the request source terminal. After S236 and S238, the CPU 31 proceeds to S240.

  In S240, the CPU 31 determines whether an instruction to shut down the SNS server 3 has been received. When the shutdown instruction is not received (S240: NO), the CPU 31 returns to S202. On the other hand, when the shutdown instruction is accepted (S240: YES), the CPU 31 proceeds to S242. In S242, the CPU 31 performs a termination process at the time of shutdown. After S242, the CPU 31 ends this process.

[Explanation of grouping process]
A grouping process executed by the CPU 31 of the SNS server 3 will be described with reference to the flowchart of FIG. This grouping process is a process executed in S216 of the above karaoke service process (FIG. 6).

  In S300, the CPU 31 specifies the genre of the music corresponding to the input parameter (identification information of the analyzed music for which introduction is requested) transmitted from the request source terminal. And CPU31 narrows down the music used as the object which determines the similarity of analysis data to the music which corresponds to the specified genre. Here, in addition to the genre of music, the artist of the music or the music itself may be used as a criterion for narrowing down.

  In next S302, the CPU 31 specifies the refrain format of the music corresponding to the input parameter. Then, the CPU 31 extracts a certain number (for example, 10 songs) of music similar to the identified refrain format from the music narrowed down in S300. Here, the similarity of the refrain format is determined by comparing the melody section information included in the music data.

  In the next step S304, the CPU 31 determines, based on the analysis data stored in the user database, the pitch deviation pattern in the analysis data corresponding to the requesting user and the analysis data corresponding to the music extracted in S302. The pitch deviation patterns in the user's analysis data are compared. As a result of comparison, analysis data of other users whose pitch shift patterns are similar to the analysis data corresponding to the requesting user is extracted. Here, in the analysis data of the requesting user and the analysis data of other users, analysis data having similar pitch shift patterns corresponding to the “A melody” in the refrain format is extracted. Alternatively, analysis data having similar pitch shift patterns corresponding to “rust” is extracted.

  Specifically, as in the analysis data shown in FIG. 3, when a pitch shift pattern is recorded as a sequence of analysis results for each melody section, the analysis data of the requesting user and the analysis data of other users The numerical value of the analysis result corresponding to “A melody” is compared. Alternatively, the numerical values of the analysis results corresponding to “rust” are compared. As a result of the comparison, analysis data whose analysis result numerical values are close to each other within the specified range (that is, high similarity) with respect to the analysis data of the requesting user is extracted as analysis data having similar sound gap patterns. The similarity is a calculated value that increases as the numerical value of the sound sequence shift pattern is closer between the analysis data of the requesting user and the analysis data of other users.

  In the next S306, the CPU 31 determines that the cumulative pitch shift of the entire music from the analysis data extracted in S304 is more than specified relative to the cumulative pitch shift in the analysis data corresponding to the requesting user. Exclude extremely different things.

  In the next S308, the CPU 31 analyzes data having a similar appearance frequency pattern of the number of squirrels or vibrato to the analysis data corresponding to the requesting user from the remaining analysis data not excluded in S306. Are extracted in a predetermined number (for example, about 20 at the maximum). Here, analysis data having similar appearance frequency of sneeze or vibrato corresponding to the “A melody” in the refrain format is extracted from the analysis data of the requesting user and the analysis data of other users. Alternatively, analysis data having similar appearance frequency of sneezing or vibrato corresponding to “rust” is extracted.

  Specifically, as in the analysis data shown in FIG. 3, when the number of squirrels and the number of vibrato are recorded as a sequence of the number of appearances for each melody section, the analysis data of the requesting user and the analysis data of other users To compare the number of occurrences of sneezing or vibrato corresponding to “A melody”. Alternatively, the number of occurrences of sneezing or vibrato corresponding to “rust” is compared. As a result of this comparison, analysis data in which the number of occurrences of screaming or vibrato is close within the specified range (that is, the similarity is high) to the analysis data of the requesting user, and analysis data in which the appearance frequency of sneezing or vibrato is similar Extract as The similarity is a calculated value that increases as the number of occurrences of sneezing or vibrato is closer between the analysis data of the requesting user and the analysis data of other users. Then, the CPU 31 groups user identification information corresponding to the extracted analysis data. After S308, the CPU 31 ends this process.

[effect]
According to the karaoke network system 1 of the above embodiment, the following effects can be obtained.
Based on the analysis data of the singing of many users stored in the user database of the SNS server 3, group information regarding SNS that allows information exchange between users having similar singing skills is stored on the smartphone 6 and the personal computer 7 used by the user. Can be sent to. By having the user browse this group information through a terminal such as the smartphone 6 or the personal computer 7, it is possible to introduce another user having a practice task similar to the user who practice singing. Thereby, the user who practices singing can discover the friend who shares the exercise subject for improvement, and can exchange information or listen to the recorded data of the friend. As a result, the motivation and motivation for practicing, which has been difficult in the practice work by the user's own power, are promoted, and the effect of improving the efficiency of singing can be obtained.

  By extracting group members from analysis data narrowed down by music genre and artist, it is possible to introduce users of a group having a common hobby and preference to the user. Therefore, empathy is likely to be formed between the introduced group members.

  Grouping users in a manner that takes into account the nature of the user's singing that changes for each melody segment by extracting group members from analysis data narrowed down to songs with similar refrain formats can do.

  Considering the nature of the user's singing that changes from melody section to melody section by comparing similarities of pitch shift patterns, number of squeaks, and vibrato numbers in the analysis data in units of melody sections such as “A melody” or “rust” In detail, the grouping can be performed in detail.

[Correspondence with configuration described in claims]
The correspondence between the karaoke network system 1 of the embodiment and the configuration described in the claims is as follows. The SNS server 3 corresponds to the karaoke server device in the present invention. The CPU 31 and the communication unit 35 of the SNS server 3 correspond to an acquisition unit and a transmission unit. The CPU 31 of the SNS server 3 corresponds to grouping means. A user database in the HDD 34 of the SNS server 3 corresponds to a storage unit.

  DESCRIPTION OF SYMBOLS 1 ... Karaoke network system, 10 ... Internet, 2 ... Music distribution server, 3 ... SNS server, 31 ... CPU, RAM ... 32, 33 ... ROM, 34 ... Hard disk drive (HDD), 35 ... Communication part, 4 ... Karaoke performance Equipment: 41 ... monitor, 5 ... remote control terminal, 6 ... smartphone, 7 ... personal computer, 50, 53, 55 ... router, 51 ... wireless LAN access point, 52 ... switching hub, 54 ... wireless WAN base station.

Claims (8)

A karaoke server device that communicates with a plurality of terminal devices via a network,
Acquisition means for acquiring analysis information indicating an analysis result analyzed based on at least one of accuracy of pitch or singing skill and identification information for identifying a user who performed karaoke singing When,
Storage means for storing the analysis information and the identification information acquired by the acquisition means in association with each other;
Grouping means for grouping identification information corresponding to analysis information having similar analysis results of at least one of the accuracy of the pitch indicated by the analysis information or the singing technique from the analysis information stored in the storage means When,
Transmission that transmits group information for notifying a service capable of exchanging information within a group by any of the plurality of terminals to the terminal device using the identification information grouped by the grouping means Means,
A karaoke server device comprising: The karaoke server apparatus according to claim 1,
The analysis information acquired by the acquisition means includes music identification information for identifying the sung music,
The grouping means identifies analysis information that matches at least one of a music, a music genre, or a music artist corresponding to the music identification information from the analysis information stored in the storage means, A karaoke server characterized by grouping identification information corresponding to analysis information having similar analysis results of at least one of the accuracy of the pitch indicated by the analysis information or the singing skill from among the specified analysis information apparatus. In the karaoke server apparatus according to claim 1 or 2,
The analysis information acquired by the acquisition means indicates an analysis result analyzed based on at least one of the accuracy of the pitch or the singing skill for each analysis section obtained by dividing the sung song at a predetermined interval. Contains information,
The grouping means includes analysis information similar to at least one of the accuracy of the pitch for each analysis section indicated by the analysis information or the analysis result of the singing technique, from the analysis information stored in the storage means. A karaoke server apparatus characterized by grouping corresponding identification information. The karaoke server apparatus according to claim 3,
The analysis information acquired by the acquisition means includes information indicating an analysis result for each analysis section corresponding to the refrain format of the sung song,
The grouping means identifies analysis information having a similar refrain format of the music in the analysis information from the analysis information stored in the storage means, and uses the analysis information from the identified analysis information. The karaoke server apparatus characterized by grouping the identification information corresponding to the analysis information with which the analysis result of at least any one of the accuracy of the displayed pitch or the singing technique is similar. The karaoke server apparatus according to claim 4,
The grouping means includes an analysis result of at least one of pitch accuracy and singing skill in the analysis section corresponding to the refrain type A melody or rust indicated by the analysis information from the identified analysis information. A karaoke server device characterized by grouping identification information corresponding to similar analysis information. In the karaoke server device according to any one of claims 3 to 5,
The analysis information acquired by the acquisition means includes at least information indicating a frequency at which a specific singing technique is expressed for each analysis section as an analysis result on the singing technique,
The karaoke server apparatus characterized in that the grouping means groups identification information corresponding to analysis information having a similar appearance frequency of singing skills for each analysis section indicated by the analysis information. The karaoke server apparatus according to any one of claims 1 to 6,
The said transmission means transmits the said group information with respect to the said terminal device applicable to the destination registered by matching with the identification information which belongs in the said group. The karaoke server apparatus characterized by these. An information notification method for notifying information to a terminal device via a network,
An acquisition procedure for acquiring analysis information indicating an analysis result analyzed based on at least one of accuracy of pitch or singing skill and identification information for identifying a user who performed karaoke singing about karaoke singing When,
A registration procedure for registering the analysis information and the identification information acquired in the acquisition procedure in association with each other in the storage unit;
A grouping procedure for grouping identification information corresponding to analysis information with similar analysis results of at least one of the accuracy of the pitch indicated by the analysis information or the singing skill from the analysis information stored in the storage means When,
Transmission that transmits group information for notifying a service capable of exchanging information within the group by any of the plurality of terminals to the terminal device using the identification information grouped in the grouping procedure Procedure and
A communication information notification method characterized by comprising:

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