JP2023067363A - Information processing apparatus, retrieval method, and program - Google Patents

Abstract

To provide an information processing apparatus which retrieves desired music in accordance with a purpose of retrieval, a retrieval method, and a program.SOLUTION: In an information processing apparatus 100, a control unit includes: an input unit which inputs a phrase to be retrieved, and a query related to lyric of music; and a retrieval unit which refers to a database in which music, a lyric of the music, and time information related to the lyric are stored in association with each other, to retrieve, from the database, music including the phrase to be retrieved in a lyric, in accordance with the query. The query includes at least one of information indicating a length of sound-producing time of a phrase and BPM of music. The time information includes at least one of time information for each element of a lyric, information indicating a beat position or bar position of a phrase, and information indicating a breath position regarding the phrase. The query includes information on a genre of music. The retrieval unit retrieves music in accordance with the genre.SELECTED DRAWING: Figure 1

Description

The present invention relates to an information processing device, a search method, and a program.

In recent years, music distribution using the Internet has become common, and various related techniques have been considered. For example, Patent Literature 1 discloses a music search device capable of searching for desired music using words included in lyrics.

Japanese Patent Application Laid-Open No. 2002-123270

Regarding music searches, there are a wide variety of demands, such as not only searching for desired music, but also searching for recommendations, searching for various purposes, and the like.
SUMMARY OF THE INVENTION Accordingly, it is an object of the present invention to provide an information processing apparatus, a search method, and a program capable of searching for a desired piece of music according to the purpose of the search.

[1] An input unit for inputting a phrase to be searched and a query related to the lyrics of a song, and referring to a database in which the song, the lyrics of the song, and time information related to the lyrics are stored in association with each other. an information processing apparatus comprising: a search unit that searches for songs containing a search target phrase in lyrics in response to a query.
[2] The information processing device according to [1], wherein the query includes at least one of information indicating the length of pronunciation time of the phrase and the BPM of the music.
[3] The time information includes at least one of time information for each element of the lyrics, information indicating the beat position or bar position regarding the phrase, and information indicating the breath position regarding the phrase. The information processing device described.
[4] The information processing device according to any one of [1] to [3], wherein the query includes information about the genre of music, and the search unit searches for music according to the genre.
[5] Any of [1] to [4], wherein the phrase to be searched includes multiple parts of speech, and the search unit searches for songs containing lyrics for each part of speech or at least part of a plurality of parts of speech. The information processing device according to .
[6] The information processing apparatus according to any one of [1] to [5], further comprising an output unit that outputs songs searched by the search unit.
[7] The information processing device according to any one of [1] to [5], further comprising a processing unit that processes the music searched by the search unit according to the query.
[8] The information processing device according to [7], wherein the processing unit cuts out, in response to the query, a portion containing the search target phrase from the music searched by the search unit.
[9] The information processing device according to [7] or [8], wherein the processing unit changes the BPM of the music searched by the search unit according to the query.
[10] The information processing apparatus according to any one of [7] to [9], further comprising an output unit that outputs music processed by the processing unit.
[11] A search method for searching for a song from a database, wherein the database stores songs, lyrics of the songs, and time information about the lyrics in association with each other, phrases to be searched, and queries related to the lyrics of the songs. and searching a database for songs whose lyrics include the phrase to be searched according to the query.
[12] By referring to an input unit for inputting a phrase to be searched and a query related to the lyrics of a song, and a database in which the song, the lyrics of the song, and time information related to the lyrics are stored in association with each other; , a program for causing a computer to function as a search unit that searches for songs that include a search target phrase in the lyrics in response to a query.

1 is a block diagram showing a schematic functional configuration of an information processing device according to one embodiment of the present invention; FIG. FIG. 4 is a diagram for explaining time information related to lyrics of music; 4 is a flow chart illustrating a search method according to an embodiment of the present invention; FIG. 5 is a flowchart (continued) showing a search method according to an embodiment of the present invention; FIG. FIG. 10 is a diagram for explaining analysis of delimiter positions included in a query; FIG. 10 is a diagram for explaining retrieval when a phrase to be retrieved includes multiple parts of speech;

Preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings. In the present specification and drawings, constituent elements having substantially the same functional configuration are denoted by the same reference numerals, thereby omitting redundant description.

FIG. 1 is a block diagram showing a schematic functional configuration of an information processing apparatus according to one embodiment of the present invention. An information processing apparatus according to an embodiment of the present invention is an information processing apparatus configured by a computer.
As shown in FIG. 1 , information processing apparatus 100 includes display 110 , operation unit 120 , control unit 130 , and database 140 . The functions of the respective units described above are realized, for example, by the processor operating according to a program in the information processing apparatus 100 having a computer hardware configuration. The information processing apparatus 100 according to one embodiment of the present invention searches for songs containing phrases desired by the user based on user operations.
The function of each unit will be further described below.

The display 110 is a display device that displays a screen including various types of information in the information processing device 100 . As the display 110, various types of display devices such as a liquid crystal display device and an organic EL display device can be used.
The operation unit 120 includes input devices such as a keyboard and a mouse.

The control unit 130 is implemented in the information processing apparatus 100 by, for example, a communication interface, a processor such as a CPU (Central Processing Unit), and a memory serving as a work area, and controls the operation of the information processing apparatus 100 . The control unit 130 includes an input unit 131, a search unit 132, a processing unit 133, and an output unit 134, which are implemented by the processor operating according to a program stored in a memory or received via a communication interface. including.

The input unit 131 inputs a search target phrase and a query related to the lyrics of a song based on a user's operation via the operation unit 120 .
A phrase to be searched is a phrase indicating lyrics desired by the user. In addition, the query related to the lyrics of the song is ancillary search condition related to the phrase to be searched as described above. , and whether or not the retrieved music needs to be processed. Note that the query may include information other than the length of the pronunciation time of the phrase and the BPM of the song. For example, it may include information about the genre of the song, the name of the artist, information about the year in which it was produced, topic, and the like. Topics refer to pre-categorized meta-information related to music, such as "sports", "romance", "travel", "books", "games", and "movies". Also, the topic may be associated with the genre of the music.

The input unit 131 inputs the following information based on user's operation via the operation unit 120 .
(1) Phrases to be Searched By designating part of the desired lyrics as text, it is possible to input "what phrases are included" in which songs are to be searched.
(2) Phrase length By designating the pronunciation time of the phrase input in (1), it is input whether to search for songs that "include what length of phrase to be pronounced".
Here, the pronunciation time indicates the time required for the phrase to be searched to be pronounced. For example, if the search target phrase is "good morning", the pronunciation time differs for each song containing "good morning" in the lyrics. The time required to pronounce "Good Morning" varies depending on various factors such as the BPM of the song, the genre, and how the lyrics are written to the song.
Therefore, the user inputs a search condition according to the purpose by designating a phrase length such as "pronounced in about one second". For example, whether you want a song that pronounces "Good Morning" at a good tempo, or a song that pronounces "Good Morning" so that you can hear it slowly and clearly, etc., the phrase length is input. be done.
Note that the phrase length may be specified by the number of seconds, the number of beats or the number of bars, or may be specified by other units. At least one of an upper limit and a lower limit may be designated for the phrase length, or a predetermined width such as "around 1 second" may be designated for the phrase length. Furthermore, the phrase length may be designated by selecting one from a plurality of predetermined options.

Furthermore, a phrase delimiter position may be specified in relation to the phrase length. In general, songs are often separated by beat positions or bar positions. is. In addition, the breath position, which is the breathing position of a singer, is often the division of a piece of music. Such a phrase delimiter position may be specified in the form of whether or not the beat position or bar position is the delimiter position, or whether the breath position is the delimiter position.

(3) BPM of music
The BPM of the input music may be the BPM of the original music, or the BPM of the music processed (adjusted) by the processing unit 133 described later and output from the output unit 134 . By the user specifying, for example, "the BPM of the original music is 100 BPM", the BPM of the original music desired by the user is input. In addition, when the user designates, for example, "The BPM of the processed music is 100 BPM regardless of the BPM of the original music", the "BPM of the output music" desired by the user is input. In specifying the BPM based on the processing by the processing unit 133, in order to prevent the BPM from changing significantly, for example, "the BPM of the original song is 90 to 110, and the BPM of the post-processed song is 100 BPM." , the difference in BPM from the original song should also be designated.
For example, in a DJ performance or the like, the BPM of a piece of music is input depending on whether or not a piece of music is desired in consideration of the connection with the next piece of music.
(4) Necessity of music processing Necessity or non-necessity of processing by the processing unit 133, which will be described later, is input according to the purpose of the search. Details of the processing will be described later.
(5) Others As described above, the query may include information about the genre of the song, the name of the artist, the year in which the song was produced, the topic, and the like. Such information is used as a search condition when searching for music by the search unit 132, which will be described later.
These information may be specified by selecting one from a plurality of predetermined options, or the user's personal information (ID information) such as the action history and search history on the user's SNS (Social Networking Service) Based on this, it may be specified in the form of using or recommending suitable information.
All or part of the requirements described in (1) to (4) may be entered.

The search unit 132 searches the database 140 for songs whose lyrics include the search target phrase according to the query input to the input unit 131 . Details of the search unit 132 will be described later.

The processing unit 133 processes the music searched by the search unit 132 according to the query input by the input unit 131 . Here, processing of the music includes, for example, a process of cutting out a portion of the searched music containing the phrase to be searched, and a process of changing the BPM of the searched music. In the input unit 131, whether or not the clipping process and the BPM adjustment process are necessary is input as a query. Note that the clipping process may be set to always be performed. Further, details of processing by the processing unit 133 will be described later.
The output unit 134 outputs the music searched by the search unit 132 or the music processed by the processing unit 133 .

The database 140 is configured so as to be able to store audio data of songs using a HDD (Hard Disk Drive), flash memory, or the like. The database 140 stores audio data of a plurality of songs in a predetermined format such as MP3 format. In addition to audio information, audio data includes information such as song lyrics, time information related to lyrics, song BPM, artwork, title, artist name, album name, key, number of DJ plays, genre, and topic. Including as information.
FIG. 2 is a diagram for explaining time information related to lyrics of music. As shown in FIG. 2, the time information about the lyrics of a song includes: lyrics time data 141 indicating time information for each element of lyrics; It consists of breath position data 143 which is information indicating a position.
In the lyrics time data 141, for example, for the part of the lyrics "abcdefg", the texts "a", "b", "c", "d", "e", "f", and "g" are displayed. A playback time corresponding to the pronunciation time is stored. Therefore, by paying attention to the playback time of each text, it is possible to grasp the time required for a certain phrase to be pronounced, for example.
In addition, the lyrics time data 141 includes, for example, the phrases "hij", "klm", and "nop" representing the phrases "hij", "klm", and "nop". The reproduction time corresponding to the pronunciation time (the pronunciation time of the beginning, middle, end, etc. of the phrase) may be stored. In this case, it is possible to more directly grasp the time required for each phrase to be pronounced.
Also, the beat/bar position data 142 stores the playback time corresponding to each beat position and bar position in the music. Therefore, it is possible to grasp the reproduction time of each beat position or each bar position.
The breath position data 143 stores the playback time corresponding to each breath position in the music. Therefore, it is possible to grasp the reproduction time of each breath position.
The time (s) in the lyric time data 141, the beat bar position data 142, and the breath position data 143 are associated with each other. Therefore, by comparing the reproduction times of the mutual data, it is possible to grasp the relationship between the pronunciation time of the phrase and the beat position or bar position, or the relationship between the pronunciation time of the phrase and the breath position.

The information processing apparatus 100 may be configured to have a communication interface, acquire voice data stored in an external storage device, a computer, or the like via a communication interface (not shown) and store the data in the database 140 . In this case, the information processing apparatus 100 does not include the database 140 and the external storage device functions as the database 140 .

Next, the operation of each unit in the information processing apparatus 100 described above when searching for a song containing a phrase desired by the user based on the user's operation will be described.
3 and 4 are flow charts showing the operation of each section during music search.
In the example shown in FIGS. 3 and 4, first, based on the user's operation via the operation unit 120, when a phrase to be searched and a query related to the lyrics of a song are input (step S101 YES), the search is performed. The unit 132 determines search conditions (step S102).
The search unit 132 determines search conditions for searching for songs from the database 140 based on the input phrase to be searched and the query related to the lyrics of the song.
The search unit 132 may add a similar word or the like to the search condition for the input phrase to be searched. For example, if the search target phrase is "good morning", similar expressions such as "morning" and "hi", as well as phrases such as "good morning" and "guten morgen" in other languages are also searched. can be added as In searching for similar words, similar phrases may be searched using, for example, a well-known technique of semantic vectors of phrases. Also, similar phrases may be retrieved using, for example, databases of various dictionaries. In either case, the user should be able to select a desired phrase from the search results.
Also, as described above, the BPM of the music included in the input query is the BPM of the original music or the BPM of the music processed (adjusted) by the processing unit 133 and output from the output unit 134 . Therefore, the search unit 132 determines a search condition regarding BPM according to the BPM of the music included in the input query.
Further, as described above, if the input query includes information about the genre of music, or if the genre or the like is specified based on the user's personal information (ID information), the search unit 132 Add information to your search criteria. As a result, for example, a search condition such as songs containing the phrase "good morning" in the "love song" genre is determined.
Further, as described above, if the input query includes information about a topic, or if a topic is specified based on the user's personal information (ID information), the search unit 132 searches for such information. Add to conditions. As a result, search conditions such as, for example, songs related to the topic of "sports" and containing the lyrics of "good" are determined.

Next, the search unit 132 searches the database 140 for songs containing the search target phrase in the lyrics in the input unit 131 according to the search conditions determined in step S102 (step S103). At this time, if the above-described similar words are added to the search target phrase, the search unit 132 refers to the database for each search target phrase, and searches for songs containing the search target phrase in the lyrics.
Next, the search unit 132 determines whether or not the query input to the input unit 131 includes specification of the delimiter position (step S104). The search unit 132 analyzes the specified delimiter position (step S105).
If the input query includes designation of a break position, the search unit 132 refers to the lyrics time data 141, the beat/bar position data 142, and the breath position data 143 for each song searched in step S103, and searches for the query. Analyze the delimiter position contained in .
For example, as shown in FIG. 5, when the phrase to be searched is "good morning" and the query specifies a break position and a breath position, the search unit 132 retrieves the lyric time of "good morning". By referring to the data 141, the reproduction time corresponding to the sounding time of "Good Morning" indicated by the arrow A is obtained, and by referring to the breath position data 143, the later and earliest breath position is obtained. The time indicated by arrow A is simply the playback time corresponding to the pronunciation time of "Good Morning", but the time indicated by arrow B is the time when the breath position is taken into account and the user is likely to be comfortable with the pronunciation. becomes.
It should be noted that the same can be considered when the input query includes specification of beat positions and bar positions as break positions. In either case, the search unit 132 includes the phrase to be searched, and the beginning or end of the phrase is used as a delimiter in order to extract a portion that is less uncomfortable for the user in terms of content while extending before and after the phrase to be searched. The lyric time data 141, the beat bar position data 142, and the breath position data 143 are referred to analyze the break positions included in the query.

Next, the search unit 132 determines whether the query input to the input unit 131 includes phrase length specification (step S106), and if it determines that phrase length specification is included (step S106 YES), The search unit 132 narrows down the songs according to the specified phrase length (step S107).
If the input query includes phrase length specification, the search unit 132 narrows down the songs searched in step S103 according to the specified phrase length. The search unit 132 refers to the lyric time data 141, the beat/bar position data 142, and the breath position data 143, and excludes songs that do not meet the phrase length condition included in the query. Lower the priority in the search results of songs that do not match
At this time, if it is determined in step S104 YES that the specification of the delimiter position is included, and if the specified delimiter position is analyzed in step S105, the search unit 132 performs narrowing down according to the phrase length based on the analysis result. I do. In other words, instead of simply comparing the phrase length of the phrase to be searched with the phrase length specified in the query, the phrase length of the phrase to be searched based on the delimiter position is compared with the phrase length specified in the query.
By performing such processing, it is possible to narrow down (filtering) and rearrange (sort) the songs searched in step S103 according to the query. It should be noted that in narrowing down and rearranging, information unique to each song may be added. For example, narrowing down and rearrangement may be performed in consideration of the degree of name recognition and popularity of the song or artist name, the year in which the song was produced, and the like.

Next, it is determined whether or not the query input to the input unit 131 includes designation of music processing (step S108). performs music processing (step S109).
When processing the music, as shown in FIG. 4, it is determined whether or not the query input to the input unit 131 includes a specification for clipping a song (step S201). When determined (step S201 YES), the processing unit 133 performs music clipping processing (step S202).
If the input query includes a designation for music processing, the processing unit 133 processes each piece of music retrieved in step S103 according to the designated content.
At this time, if it is determined in step S104 that the specification of the delimiter position is included and the specified delimiter position is analyzed in step S105, the processing unit 133 processes the music based on the analysis result. In other words, instead of simply cutting out the search target phrase, the search target phrase is cut out based on the delimiter positions.
Further, when the songs are narrowed down in step S107, the processing unit 133 performs extraction processing of phrases to be searched for each song after the narrowing down.
By performing such processing, it is possible to extract a desired phrase by performing the phrase extraction processing according to the query.

Next, it is determined whether or not the query input to the input unit 131 includes a specification for adjusting the BPM of the music (step S203). , the processing unit 133 performs processing for adjusting the BPM of the music (step S204).
If the input query includes a specification for adjusting the BPM of a song, the processing unit 133 adjusts the BPM of each song retrieved in step S103 according to the specified content.
At this time, if the songs have been narrowed down in step S107, the processing unit 133 performs a process of adjusting the BPM of each song after the narrowing down.
By performing such processing, it is possible to perform the BPM adjustment processing according to the query and generate music with a desired BPM.

Finally, the output unit 134 outputs the music (step S110). The music output to the output unit 134 differs depending on the input query in terms of whether segment position analysis is performed, whether phrase length narrowing is performed, and whether processing is performed.
Also, the output music is a lyric sample obtained by extracting at least part of the phrase of the music, and can be used for various purposes. Examples of uses are described later.

Note that the series of processes described with reference to FIGS. 3 and 4 is an example, and the present invention is not limited to this example.
For example, in the music search described in step S103, the search may be performed using a search condition other than the phrase to be searched, such as the length of the phrase. In narrowing down the songs described in step S105, the songs may be narrowed down by using information other than the information on the division position, such as the genre of the song, the topic, etc., as a condition for narrowing down the songs.
Also, the order of processing is not limited to the examples described with reference to FIGS. For example, after narrowing down the songs based on the phrase length described in step S107, the analysis of the division positions described in step S105 may be performed. In other words, based on a phrase to be searched and a query related to the lyrics of a song, a part or all of the song search, analysis, narrowing down, and processing may be performed in random order.

Further, in the above example, a phrase to be searched may be composed of a plurality of parts of speech. In such a case, the search unit 132 independently searches for songs containing lyrics for each part of speech or at least part of a plurality of parts of speech, and the processing unit 133 processes and outputs each searched song. A section 134 outputs a piece of music containing each part of speech.
For example, as shown in FIG. 6, if the search target phrase is "Dreams Come True", as indicated by arrow A, even if the entire "Dreams Come True" is used as the search target phrase, a series of processing may be performed. Alternatively, as indicated by arrow B, a series of processes may be performed independently for each of "Dreams", "Come", and "True", or both may be performed.
As indicated by arrow B, when performing a series of processes for each part of speech, the phrase length may be distributed. For example, the phrase length specified for the entire "dreams come true" is distributed to each of "dreams", "come", and "true", and the sum of the phrase lengths of the three parts of speech is "dreams come true". The phrase length may be specified for the entirety. Moreover, as indicated by an arrow B, when performing a series of processes for each part of speech, it is preferable to associate the output contents with each other when output by the output unit 134 . Also, how to divide the search target phrase may be determined using a known analysis technique, or may be determined based on a user's operation.

An application example of the music search described so far will be described.
(1) Applications for DJ, music production, and video production In applications for DJ, music production, and video production, there is a need to search for songs with high accuracy in terms of phrase length.
For example, if there is a request to "search for songs containing a phrase in which the lyrics 'XXX' are sung on two beats," enter 'XXX' as the phrase to be searched, and query 'phrase length = By inputting "2 beats", it is possible to accurately search for songs containing a desired phrase. Also, for example, if there is a request to "search songs that contain sentences that are sung in one bar or phrases that are well separated as words", the phrase to be searched is not entered, and the query is for example " By inputting "phrase length = 1 measure" and "breaking position = bar position" or "breaking position = breath position", it is possible to accurately search for a song containing an arbitrary phrase and having a desired phrase length. can.
In addition, in the use of music production and video production, there is a need to search for music with high accuracy regarding BPM, based on connections with preceding and succeeding music, timing, and the like. Even in such a case, by inputting the BPM of the original song or the processed song as a query, it is possible to accurately output a phrase of the user's desired BPM.

(2) Uses of Social Services In the uses of social services represented by SNS and SMS (Social Media Service), there are needs for communication and self-expression using music. By applying the present invention to such uses, for example, it is possible to realize a service that extracts phrases of distributed music that have the same lyrics as the input text and automatically generates samples of the extracted lyrics.
For example, if there is a request to ``search for songs containing the same lyrics as the text entered in the message service and extract the phrase'', enter ``input text'' as the phrase to be searched and use the query as `` By inputting phrase length > 2 seconds, "Break position = bar position" or "Break position = breath position", there is no problem that the phrase is too short to be heard, and musically well-separated phrases can be generated. It is possible to accurately search for songs that include.

(3) Applications related to dance, motion, and animation videos Applications related to dance and motion videos are suitable for movements in dance, motion, animation, etc., similar to the DJ, music production, and video production applications described in (1). There is a need to search for songs with high accuracy regarding phrase lengths.
For example, in the case of silence or dancing to a certain piece of music, and then editing the video by applying a new or different piece of music, a phrase that contains the lyrics "XXX" and is sung in 10 seconds Search for songs containing ". In this case, for example, by inputting "XXX" as a phrase to be searched and, for example, "phrase length=10 seconds" as a query, and processing them, the user's desired phrase can be accurately output.

(4) Application for language learning In the application for language learning, there are needs such as learning desired words and example sentences using music of a specific phrase length in learning a foreign language.
For example, if there is a request to "search for songs containing the lyrics "XXX"", enter "XXX" as the phrase to be searched, and for example, "phrase length > 3 seconds" and "delimiter position = By inputting the "breath position", it is possible to accurately search for songs that have a phrase length sufficient for listening learning and that include a desired phrase suitable for language learning, including words before and after the song.

(5) Sports and Exercise Applications In sports and exercise applications, there is a need to search for songs of specific phrase lengths and tempos for purposes such as repetition practice and movement timing practice.
For example, when practicing movement timing such as "hop, step, jump", the request may be "search for music that includes the lyrics 'XXX' and a phrase that is sung in 10 seconds". . In this case, for example, by inputting "XXX" as a phrase to be searched and, for example, "phrase length=8 beats" and "BPM=YY" as a query, a song containing a desired phrase can be searched with high accuracy. be able to.
The application examples described in (1) to (5) are examples, and the present invention is not limited to these examples. Also, a configuration may be employed in which some of the elements described in (1) to (5) are combined and executed.

According to one embodiment of the present invention as described above, a phrase to be searched and a query related to the lyrics of a song are input, and the song, the lyrics of the song, and the time information related to the lyrics are associated with each other. The stored database is referred to, and a song whose lyrics include the search target phrase is retrieved from the database according to the query. Therefore, desired music can be searched according to the purpose of the search.

Also, according to one embodiment of the present invention, the query includes at least one of information indicating the length of pronunciation time of the phrase and the BPM of the song. Therefore, it is possible to search for a piece of music with a phrase length or BPM according to the purpose of the search.

Also, according to an embodiment of the present invention, the time information includes at least one of the following: time information for each lyric element, information indicating the beat position or bar position regarding the phrase, and information indicating the breath position regarding the phrase. . Therefore, it is possible to search for a desired piece of music based on the content of the piece of music, the preferred delimiter positions, etc., rather than simply searching for pieces of music containing the search target phrase.
Also, according to one embodiment of the present invention, the query includes information about the genre of the song, and searches for songs according to the genre. Therefore, the user's desired music can be searched more easily.

Moreover, according to one embodiment of the present invention, a phrase to be searched includes a plurality of parts of speech, and a song containing lyrics for each part of speech or at least a part of the plurality of parts of speech is searched. Therefore, even when a phrase to be searched includes a plurality of parts of speech, it is possible to search for a desired piece of music according to the purpose of the search.
Also, according to one embodiment of the present invention, the retrieved music is output. Therefore, the user can use the music obtained by extracting at least part of the phrase of the music according to the purpose.

Also, according to one embodiment of the present invention, the retrieved music is processed according to the query. Therefore, it is possible to process music more appropriately according to the user's request.
Further, according to one embodiment of the present invention, a portion containing a phrase to be searched is cut out from the searched music according to the query. Therefore, desired phrases can be extracted and used as new voice data for various purposes.

Also, according to one embodiment of the present invention, the BPM of the searched song is changed according to the query. Therefore, it is possible to more preferably adjust the BPM of the music according to the user's request.
Further, according to one embodiment of the present invention, the processed music is output. Therefore, the user can use the music obtained by extracting at least part of the phrase from the music and processing the music as desired by the user.

A part or all of the processing in the information processing apparatus described in the above embodiments may be executed by an Internet communication network or a server communicably connected wirelessly.
Further, in the above embodiment, the search for music was exemplified and explained, but the present invention can be applied in the same manner to scripts that are not classified as music, such as speech, reading, conversation, and the like. In such a case, a phrase to be searched for and a query related to the script are entered, a database in which the script and time information related to the script are associated and stored is referenced, and a search target is retrieved according to the query from the database. You can search for songs that contain phrases in their scripts. Such a configuration is particularly useful for language learning as described above.

Although the preferred embodiments of the present invention have been described in detail above with reference to the accompanying drawings, the present invention is not limited to such examples. It is obvious that a person having ordinary knowledge in the technical field to which the present invention belongs can conceive of various modifications or modifications within the scope of the technical idea described in the claims. It is understood that these also naturally belong to the technical scope of the present invention.

DESCRIPTION OF SYMBOLS 100... Information processing apparatus, 110... Display, 120... Operation part, 130... Control part, 131... Input part, 132... Search part, 133... Processing part, 134... Output part, 140... Database.

Claims (12)

an input unit for inputting a phrase to be searched for and a query related to lyrics of a song;
a search unit that refers to a database in which songs, lyrics of the songs, and time information related to the lyrics are stored in association with each other, and searches the database for songs containing the search target phrase in the lyrics according to the query; Information processing device. 2. The information processing apparatus according to claim 1, wherein said query includes at least one of information indicating length of pronunciation time of said phrase and BPM of said music. Claim 1 or Claim 2, wherein the time information includes at least one of time information for each element of the lyrics, information indicating a beat position or bar position regarding the phrase, and information indicating a breath position regarding the phrase. The information processing device according to . The query includes information about the genre of the song,
The information processing apparatus according to any one of claims 1 to 3, wherein the search unit searches for the music according to the genre. The search target phrase includes a plurality of parts of speech,
The information processing apparatus according to any one of claims 1 to 4, wherein the search unit searches for the song containing lyrics for each part of speech or at least part of the plurality of parts of speech. The information processing apparatus according to any one of claims 1 to 5, further comprising an output unit that outputs songs searched by the search unit. The information processing apparatus according to any one of claims 1 to 5, further comprising a processing unit that processes the music searched by the search unit according to the query. 8. The information processing apparatus according to claim 7, wherein said processing unit cuts out a portion including said search target phrase from the music searched by said search unit according to said query. 9. The information processing apparatus according to claim 7, wherein said processing unit changes BPM of music searched by said search unit according to said query. 10. The information processing apparatus according to any one of claims 7 to 9, further comprising an output unit that outputs music processed by said processing unit. A search method for searching songs from a database, comprising:
the database stores music, lyrics of the music, and time information related to the lyrics in association with each other;
entering a phrase to search for and a query related to song lyrics;
and searching the database for songs containing the search target phrase in lyrics in accordance with the query. an input unit for inputting a phrase to be searched for and a query related to lyrics of a song;
A search unit that refers to a database in which songs, lyrics of songs, and time information related to the lyrics are stored in association with each other, and searches the database for songs that include the search target phrase in the lyrics in response to the query. A program that makes a computer work.

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