KR20230071524A - Electronic apparatus and method for controlling thereof - Google Patents

Abstract

The present invention relates to an electronic apparatus and a control method thereof, which may comprise: a user interface; a communication interface; a speaker; a memory; and a processor. The processor may: enter the radio mode when a predetermined user command is inputted; acquire meta information regarding the music included in a playlist after entering the radio mode; extract a keyword included in the acquired meta information; transmit the keyword extracted to acquire detailed information regarding the music based on the keyword to a searching server; receive detailed information regarding the music included in the playlist from the searching server; and output the music included in the playlist and the explanation regarding the music included in the playlist based on the acquired detailed information. Therefore, music may be appreciated while an explanation regarding the music is provided.

Description

Electronic device and its control method {ELECTRONIC APPARATUS AND METHOD FOR CONTROLLING THEREOF}

The present disclosure relates to an electronic device and a method for controlling the same, and more particularly, to an electronic device and a method for controlling the same, which provide a user with a description of music as if listening to a radio while playing music included in a playlist. .

A method of enjoying music is divided into a method of playing music included in a playlist stored in an electronic device or a server or listening to a radio.

Playlists stored on electronic devices or servers are those that have been selected and organized by themselves according to individual preferences, those that are organized by a third party and shared online, or those that are shared online by music streaming service providers by period, genre, and country. It could be a music chart sorted by star popularity. A user may download and play music included in a playlist stored in an electronic device or a server to an electronic device, or enjoy music through online real-time streaming. In this case, the user can selectively listen to the desired music according to his or her taste, but cannot separately listen to the music description, so the individual has to find the information through a web search to obtain information about the music.

Unlike this, when listening to music through a radio, a radio signal is received through an electronic device to listen to a broadcasted radio broadcast. In the case of listening to music in a radio manner, a radio broadcaster delivers an explanation of the music together so that the artist, reputation, and background knowledge of the music can be heard, but there is an inconvenience that the individual has to listen to the music that he or she does not want to hear.

Therefore, there is a demand for a method of selectively listening to music according to individual preference and listening to information related to the music as if listening to a radio.

The present disclosure has been devised to solve the above-described problems, and an object of the present disclosure is to provide an electronic device and a control method thereof for simultaneously listening to music included in a playlist and simultaneously providing a description of the music before and after playing each piece of music. is in

An electronic device according to the present embodiment for achieving the above object includes a user interface, a communication interface, a speaker, a memory, and a processor, and the processor operates in a radio mode when a preset user command is input. When entering and entering the radio mode, meta information about music included in the playlist is obtained, keywords included in the obtained meta information are extracted, and detailed information about the music is extracted based on the keywords. To obtain information, the extracted keyword is transmitted to a search server, detailed information on music included in the playlist is received from the search server, and music included in the playlist is received based on the obtained detailed information. A description of and music included in the playlist can be output.

Meanwhile, the processor may receive a description of the music included in the playlist and detailed information about a plurality of pieces of music included in the playlist before starting to output the music included in the playlist.

Meanwhile, the processor inputs the received detailed information into a natural language synthesis neural network model to synthesize a description of music included in the playlist into a natural language in text format, converts the synthesized natural language in text format into voice, can be printed out.

On the other hand, the processor identifies the type of voice to be output based on the genre of the music extracted from the meta information on the music included in the playlist, and converts the synthesized text-type natural language to the identified type of voice. , and the type of voice may be one of a male voice, a female voice, and a celebrity voice.

Meanwhile, the processor identifies previously output detailed information among the received detailed information, and provides a description of music included in the playlist and the playlist based on detailed information different from the identified previously output detailed information. The music contained in can be output.

Meanwhile, when the preset user command is input while outputting the first music included in the playlist, the processor may enter the radio mode from second music to be output next to the first music.

Meanwhile, the keyword may be a keyword related to at least one of a song title, a singer name, a genre, and a release year extracted from meta information about music included in the playlist.

Meanwhile, the detailed information may be information on at least one of song title information, singer name information, release date information, album information, lyricist and composer information, related artist information, and history information of the music.

A method for controlling an electronic device according to an embodiment of the present disclosure includes: entering a radio mode when a preset user command is input; Obtaining information, extracting a keyword included in the acquired meta information, transmitting the extracted keyword to a search server to obtain detailed information on the music based on the keyword, Receiving detailed information about the music included in the playlist from the search server, and outputting a description of the music included in the playlist and the music included in the playlist based on the obtained detailed information. can include

Meanwhile, the receiving of the detailed information may include receiving detailed information on a plurality of pieces of music included in the playlist before starting a description of the music included in the playlist and an output of the music included in the playlist. steps may be included.

Meanwhile, the outputting may include inputting the received detailed information to a natural language synthesis neural network model to synthesize a description of music included in the playlist in a natural language in a text format, and the synthesized natural language in a text format as a voice. It may include converting to and outputting.

Meanwhile, the outputting may include identifying the type of voice to be output based on the genre of the music extracted from the meta information about the music included in the playlist, and the synthesized natural language in text format as the identified and outputting the converted voice into a type of voice, and the type of the voice may be one of a male voice, a female voice, and a celebrity voice.

On the other hand, the outputting may include identifying detailed information previously output from among the received detailed information, and a description of music included in the playlist based on detailed information different from the identified detailed information previously output, and and outputting music included in the playlist.

Meanwhile, in the step of entering the radio mode, if the preset user command is input while outputting the first music included in the playlist, the second music to be output next to the first music enters the radio mode. A control method comprising the; step of doing.

Meanwhile, the keyword may be a keyword related to at least one of a song title, a singer name, a genre, and a release year extracted from meta information about music included in the playlist.

Meanwhile, the detailed information may be information on at least one of song title information, singer name information, release date information, album information, lyricist and composer information, related artist information, and history information of the music.

While listening to music selectively according to individual preference, you can listen to information related to the music you are listening to before and after playing the music as if you were listening to a radio.

1 is a diagram for explaining an electronic device and a server according to an embodiment of the present disclosure.
2 is a block diagram for explaining components of an electronic device according to an embodiment of the present disclosure.
3 is a diagram for explaining meta information included in music data according to various embodiments of the present disclosure.
4 is a diagram for explaining a natural language synthesis neural network model according to various embodiments of the present disclosure.
FIG. 5 is a diagram illustrating a description of music included in a playlist synthesized in text format in natural language according to an embodiment of the present disclosure.
6 is a flowchart illustrating an operation of an electronic device according to an embodiment of the present disclosure.

Since the present embodiments can apply various transformations and have various embodiments, specific embodiments will be illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the scope to the specific embodiments, and should be understood to include various modifications, equivalents, and/or alternatives of the embodiments of the present disclosure. In connection with the description of the drawings, like reference numerals may be used for like elements.

In describing the present disclosure, if it is determined that a detailed description of a related known function or configuration may unnecessarily obscure the gist of the present disclosure, a detailed description thereof will be omitted.

In addition, the following embodiments may be modified in many different forms, and the scope of the technical idea of the present disclosure is not limited to the following embodiments. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the spirit of the disclosure to those skilled in the art.

Terms used in this disclosure are only used to describe specific embodiments, and are not intended to limit the scope of rights. Singular expressions include plural expressions unless the context clearly dictates otherwise.

In the present disclosure, expressions such as “has,” “can have,” “includes,” or “can include” indicate the presence of a corresponding feature (eg, numerical value, function, operation, or component such as a part). , which does not preclude the existence of additional features.

In this disclosure, expressions such as “A or B,” “at least one of A and/and B,” or “one or more of A or/and B” may include all possible combinations of the items listed together. . For example, “A or B,” “at least one of A and B,” or “at least one of A or B” (1) includes at least one A, (2) includes at least one B, Or (3) may refer to all cases including at least one A and at least one B.

Expressions such as "first," "second," "first," or "second," used in the present disclosure may modify various elements regardless of order and/or importance, and may refer to one element as It is used only to distinguish it from other components and does not limit the corresponding components.

A component (e.g., a first component) is "(operatively or communicatively) coupled with/to" another component (e.g., a second component); When referred to as "connected to", it should be understood that an element may be directly connected to another element, or may be connected through another element (eg, a third element).

On the other hand, when an element (eg, a first element) is referred to as being "directly connected" or "directly connected" to another element (eg, a second element), it is referred to as a component different from a component. It may be understood that there are no other components (eg, third components) between the elements.

The expression “configured to (or configured to)” as used in this disclosure means, depending on the situation, for example, “suitable for,” “having the capacity to.” ," "designed to," "adapted to," "made to," or "capable of." The term "configured (or set) to" may not necessarily mean only "specifically designed to" hardware.

Instead, in some contexts, the phrase "device configured to" may mean that the device is "capable of" in conjunction with other devices or components. For example, the phrase "a processor configured (or configured) to perform A, B, and C" may include a dedicated processor (eg, embedded processor) to perform the operation, or by executing one or more software programs stored in a memory device. , may mean a general-purpose processor (eg, CPU or application processor) capable of performing corresponding operations.

In an embodiment, a 'module' or 'unit' performs at least one function or operation, and may be implemented with hardware or software, or a combination of hardware and software. In addition, a plurality of 'modules' or a plurality of 'units' may be integrated into at least one module and implemented by at least one processor, except for 'modules' or 'units' that need to be implemented with specific hardware.

Meanwhile, various elements and areas in the drawings are schematically drawn. Therefore, the technical spirit of the present invention is not limited by the relative size or spacing drawn in the accompanying drawings.

Hereinafter, with reference to the accompanying drawings, an embodiment according to the present disclosure will be described in detail so that those skilled in the art can easily implement it.

The electronic device 200 according to an embodiment of the present disclosure includes a mobile device, a wearable device, a smart phone, a CD player, a DVD player, a cassette player, a media box (eg, Samsung HomeSyncTM, Apple TVTM, or Google TVTM), a desktop computer , It can be implemented in various devices capable of providing audio media contents, such as laptop computers, tablets, speakers, and TVs. The electronic device 200 is not limited to the above devices, and the electronic device 200 may be implemented as an electronic device 200 having two or more functions of the above devices.

In addition, the electronic device 200 may be connected to other external devices to perform one or more functions.

1 is a diagram for explaining an electronic device and a server according to an embodiment of the present disclosure.

Referring to FIG. 1 , the electronic device 200 may perform one or more functions by transmitting or receiving information by establishing a communication connection with the server 100, and the server may be a search server. For example, the electronic device 200 may perform a web search operation by transmitting a keyword extracted from meta information included in music to the server 100 to obtain detailed information about music. The electronic device 100 may receive detailed information about music from the server 100 . However, the electronic device 200 is not limited to the above-described embodiment, and the electronic device 200 receives detailed description data on music synthesized in natural language in text format from the server 100 based on detailed information on music obtained as a result of a web search. You may.

2 is a block diagram for explaining components of an electronic device according to an embodiment of the present disclosure.

The user interface 210 may include a button, a lever, a switch, a touch interface, and the like, and the touch interface may be a switch or lever that detects capacitance change, , It may also be implemented in a manner of receiving an input by a user's touch on a display (not shown) screen. Also, the user interface 210 may recognize a user's gesture and receive a user command even when there is no direct contact between the user's body and the electronic device 200 .

The processor 250 may receive user commands for all operations related to the radio mode through the user interface 210 . Specifically, the processor 250 may receive a user input through the user interface 210 to enter the radio mode, release the radio mode, or temporarily stop the radio mode.

The communication interface 220 may include a wireless communication interface, a wired communication interface, or an input interface. The wireless communication interface may perform communication with various external devices using wireless communication technology or mobile communication technology. Such wireless communication technologies include, for example, Bluetooth, Bluetooth Low Energy, CAN communication, Wi-Fi, Wi-Fi Direct, ultra-wideband communication (UWB, ultrawide band), Zigbee, infrared data association (IrDA), or NFC (Near Field Communication) may be included, and as mobile communication technologies, 3GPP, Wi-Max , LTE (Long Term Evolution), 5G, etc. may be included. The wireless communication interface may be implemented using an antenna, a communication chip, a substrate, or the like capable of transmitting electromagnetic waves to the outside or receiving electromagnetic waves transmitted from the outside.

The wired communication interface may perform communication with various external devices based on a wired communication network. Here, the wired communication network may be implemented using a physical cable such as, for example, a pair cable, a coaxial cable, an optical fiber cable, or an Ethernet cable.

Either one of the wireless communication interface and the wired communication interface may be omitted according to embodiments. Accordingly, the electronic device 200 may include only a wireless communication interface or only a wired communication interface. In addition, the electronic device 200 may have an integrated communication interface supporting both wireless access through a wireless communication interface and wired connection through a wired communication interface.

The electronic device 200 is not limited to the case of including one communication interface 220 performing one type of communication connection, and may include a plurality of communication interfaces 220 .

The processor 250 according to various embodiments of the present disclosure may communicate with a server or an external electronic device through the communication interface 220 .

Specifically, the processor 250 may perform a communication connection with the server 100 through the communication interface 220, and the server 100 may be a search server. The processor 250 may perform a web search operation by transmitting keywords extracted from meta information included in music to the server 100 to obtain detailed information about music through the communication interface 220 . The electronic device 100 may receive detailed information about music from the server 100 . However, the processor 250 is not limited to the above-described embodiment, and the processor 250 may receive detailed description data on music synthesized in natural language in text format from the server 100 based on detailed information on music obtained as a result of a web search. may be

The processor 250 may transmit or receive information by establishing a communication connection with an external electronic device (not shown) through the communication interface 220 . Specifically, the processor 250 performs a communication connection with one or more external computers, TVs, speakers, etc. through the communication interface 220 to convert the sound of music included in the playlist or the text format obtained based on detailed information on the music. A description of music composed of synthesized natural language can be output.

The speaker 230 includes a tweeter for high-pitched sound reproduction, a midrange for mid-range sound reproduction, a woofer for low-pitched sound reproduction, a subwoofer for extremely low-pitched sound reproduction, an enclosure for controlling resonance, and input to the speaker. It may consist of a crossover network that divides electrical signal frequencies by band.

The speaker 230 may output a sound signal to the outside of the electronic device 200 . The speaker 230 may output multimedia reproduction, recording reproduction, various notification sounds, and voice messages. The electronic device 200 may include an audio output device such as a speaker 230, or may include an output device such as an audio output terminal. In particular, the speaker 230 may provide acquired information, information processed/produced based on the obtained information, a response result to a user's voice, or an operation result in the form of voice.

The processor 250 may output, through the speaker 230, a description of the music in a natural language synthesized in a text format obtained based on detailed information about the music or sounds of music included in the playlist.

The memory 240 temporarily or non-temporarily stores various programs or data, and transfers stored information to the processor 250 according to a call of the processor 120 . In addition, the memory 240 may store various types of information necessary for calculation, processing, or control operations of the processor 250 in an electronic format.

The memory 240 may include, for example, at least one of a main memory device and an auxiliary memory device. The main memory device may be implemented using a semiconductor storage medium such as ROM and/or RAM. The ROM may include, for example, a conventional ROM, an EPROM, an EEPROM, and/or a MASK-ROM. The RAM may include, for example, DRAM and/or SRAM. Secondary storage devices include flash memory devices, Secure Digital (SD) cards, Solid State Drives (SSD), Hard Disc Drives (HDD), magnetic drums, compact discs (CDs), and DVDs (DVDs). ) or an optical media such as a laser disk, a magnetic tape, a magneto-optical disk, and/or a floppy disk, etc., that can store data permanently or semi-permanently.

The memory 240 stores music included in a playlist, meta information about music, keywords extracted from meta information about music, detailed information about music, a natural language synthesis neural network model, and music composed of natural language synthesized in text format. Description data can be stored.

The processor 250 controls overall operations of the electronic device 200 . Specifically, the processor 160 is connected to the configuration of the electronic device 200 including the memory 240 as described above, and by executing at least one instruction stored in the memory 240 as described above, the electronic device ( 200) can be controlled overall. In particular, the processor 250 may be implemented as one processor 250 or as a plurality of processors 250 .

Processor 250 can be implemented in a variety of ways. For example, the processor 250 may include an application specific integrated circuit (ASIC), an embedded processor, a microprocessor, hardware control logic, a hardware finite state machine (FSM), a digital signal processor Processor, DSP) may be implemented as at least one.

Meanwhile, in the present disclosure, the processor 250 includes a central processing unit (CPU) for processing digital signals, a micro controller unit (MCU), a micro processing unit (MPU), a controller, and an application processor. processor (AP)), communication processor (communication processor (CP)), or one or more of an ARM processor, or may be defined by the term. In addition, the processor 160 may be implemented as a system on chip (SoC) having a built-in processing algorithm, a large scale integration (LSI), or may be implemented as a field programmable gate array (FPGA). The processor 250 may perform various functions by executing computer executable instructions stored in the memory 240 . In addition, the processor 250 may include at least one of a graphics-processing unit (GPU), a neural processing unit (NPU), and a visual processing unit (VPU), which are separate AI processors, in order to perform artificial intelligence functions. there is.

A method of controlling the electronic device 200 by the specific processor 250 will be described in detail with reference to FIGS. 3 to 5 .

When a preset user command is input through the user interface 210, the processor 250 may enter a radio mode.

Here, the radio mode is an operation mode in which music information is output in the form of natural language before and after music reproduction as if listening to a radio while playing music.

If a preset user command is input while outputting the first music included in the playlist, the processor 250 may control the electronic device 200 to enter the radio mode from the second music to be output next to the first music. there is.

Upon entering the radio mode, the processor 250 may obtain meta information about music included in the playlist.

3 is a diagram for explaining meta information included in music data according to various embodiments of the present disclosure.

Referring to FIG. 3, music data 300 includes a song title 310 representing the title of music, a singer name 320 of the music, and a genre 330 of the music (eg, ballad, hip-hop, rock, soul, children's song, classical, opera, jazz) and music release year 340 may be included, but may include various meta information related to music without being limited thereto.

The processor 250 may extract keywords included in the obtained meta information. The keywords extracted from the meta information are the song title (310), the name of the music singer (320), the genre of the music (330) (e.g., ballad, hip-hop, rock, soul, children's song, classical, opera, jazz), and the year the music was released ( 340) may be related to at least one of them.

For example, the processor 250 may extract keywords from the song title 310, "Hey Jude," the artist name 320, "Beatles," and the release year 340, "1968," among meta information about music. .

The processor 250 may perform a communication connection with the search server 100 through the communication interface 220 to obtain detailed information about music based on the extracted keyword and transmit the extracted keyword to the search server 100. there is. The processor 250 may perform a communication connection with the search server 100 through the communication interface 220 to receive detailed information about music obtained through a keyword-based search from the search server 100 .

The detailed information may be at least one of music title information, singer name information, release date information, album information, lyricist and composer information, related artist information, and history information.

For example, the obtained detailed information includes release date information of "August 26, 1968" in written form or a list of words, album information of "single track", lyricist and composer information of "Paul McCartney" , may be historical information that "one of the greatest masterpieces in the history of popular music".

Here, the processor 250 may obtain detailed information on each piece of music included in the playlist in real time while music is playing in the radio mode. However, the processor 250 is not limited thereto, and the processor 250 processes a plurality of pieces of music included in the playlist or all of the music included in the playlist before starting the description of the music included in the playlist and the output of the music included in the playlist. You can receive detailed information about In this case, since detailed information on music can be obtained in advance before music reproduction starts, a delay caused by information processing during music reproduction can be prevented.

For example, the processor 250 obtains detailed information about individual music in real time while playing music included in a playlist consisting of “Hey Jude”, “My heart will go on”, and “Let it be”. , but before starting playback of the music in the playlist and outputting a description of the music, all songs "Hey Jude", "My heart will go on", and "Let it be" in the playlist Detailed information may be obtained in advance.

The processor 250 may input detailed information about the received music into a natural language synthesis neural network model and synthesize a description of the music included in the playlist in text-type natural language.

4 is a diagram for explaining a natural language synthesis neural network model according to various embodiments of the present disclosure, and FIG. 5 is a diagram for music included in a playlist synthesized with natural language in text format according to an embodiment of the present disclosure. It is a drawing showing the explanation.

Referring to FIG. 4 , the processor 250 inputs detailed music information 410 to a natural language synthesis neural network model 420, and displays a detailed description of music delivered to listeners through a broadcast by a real radio DJ in text. Natural language 430 in text form may be obtained.

For example, the processor 250 may store release date information of “August 26, 1968” in written form or a list of words, album information of “single track”, and lyricist and composer information of “Paul McCartney”. Acquiring detailed music information 410, such as historical information such as "one of the greatest masterpieces in the history of popular music", into the natural language synthesis neural network model 420 to obtain text-type natural language 430 representing detailed descriptions of music in text. However, the processor 250 is not limited thereto, and the processor 250 transmits the meta information obtained from the music data 300, such as song title information “Hey Jude” and artist name information “Beatles” together with detailed information 410 in natural language. By inputting the synthetic neural network model 420, a text-type natural language 430 representing a detailed description of music in text may be acquired.

Specifically, referring to FIG. 5, the processor 250 uses the natural language synthesis neural network model 420 to “This song is Hey Jude by the Beatles” (510), “To” (520), and “I did” (530). ), “This song” (540), “This song is often cited” (550), etc., can be obtained in the form of natural language descriptions of music in a text format.

Here, the neural network model can be designed to simulate the human brain structure on a computer. The artificial intelligence model may include a plurality of network nodes having weights that simulate neurons of a human neural network. A plurality of network nodes may form a connection relationship, respectively, to simulate synaptic activity in which neurons transmit and receive signals through synapses. The artificial intelligence model may include, for example, a neural network model or a deep learning model developed from a neural network model. In the deep learning model, a plurality of network nodes may exchange data according to a convolution connection relationship while being located at different depths (or layers). For example, a model such as a deep neural network (DNN), a recurrent neural network (RNN), or a bidirectional recurrent deep neural network (BRDNN) may be used as an artificial intelligence model, but is not limited thereto.

Specifically, the neural network model may include a plurality of artificial neural network layers. Artificial neural networks include deep neural networks (DNNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), restricted boltzmann machines (RBMs), deep belief networks (DBNs), bidirectional recurrent deep neural networks (BRDNNs), It may be one of deep Q-networks or a combination of two or more of the foregoing, but is not limited to the foregoing examples. The artificial intelligence model may include, in addition or alternatively, software structures in addition to hardware structures.

A neural network model may include a learning algorithm. For example, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning may be included, but is not limited to the above examples. The artificial intelligence model may include a plurality of artificial neural network layers.

In addition, the natural language synthesis neural network model 420 according to the present disclosure may be an Embedding from Language Model (ELMo) or a Bidirectional Encoder Representation of Transformer (BERT) for natural language processing (NLP).

As described above, the processor 250 converts the description of the music in the natural language 430 in text form acquired based on the detailed information 410 into voice and outputs the music before and after outputting the reproduced music.

Here, the processor 250 may identify the type of voice to be output, such as a male voice, a female voice, a celebrity voice, etc., based on the music genre 330 extracted from the meta information on the music included in the playlist. In addition, the description of the music made of natural language 430 in the form of synthesized text may be converted into an identified type of voice and output.

For example, when the genre of music 330 is “ballad,” the processor 250 may identify the type of voice as a male celebrity voice with a low-pitched voice, and describe the music in text format natural language 430. can be output in the voice of a male celebrity with a low-pitched tone.

However, it is not limited thereto, and the processor 250 receives a user command through the user interface 210, identifies the type of voice to be output, and provides a text description of the music in natural language 430 with the identified type of voice. Of course, it can be converted to output.

The processor 250 according to another embodiment of the present disclosure identifies the detailed information 410 previously output in the natural language 430 in text form among the received detailed information 410, and the identified detailed information previously output ( 410), a description of the music included in the playlist and the music included in the playlist may be output based on the detailed information 410 that is different from the detailed information 410.

For example, the processor 250 may identify whether album information of “single track” and lyricist and composer information of “Paul McCartney” are already output detailed information 410 .

Here, the processor 250 controls to store the description of the music based on the previously output detailed information 410 in the memory 240 or the server 100, and based on the stored previously output detailed information 410, the current It may be identified whether the description of the music to be output is for the detailed information 410 previously output.

When the album information of “single track” and the lyricist and composer information of “Paul McCartney” are identified as previously output detailed information 410, the processor 250 processes the album information of “single track” and the information of “Paul McCartney”. By outputting a description of the acquired music based on the detailed information 410 that is different from the lyricist and composer information without outputting, it is possible to prevent the user from feeling fatigued by repeatedly providing the same content to the user.

As described above, the processor 250 outputs music included in the playlist and a description of the music together, thereby providing an experience as if listening to the music included in the playlist organized according to the user's preference as if listening to a radio. can

6 is a flowchart illustrating an operation of an electronic device according to an embodiment of the present disclosure.

When a preset user command is input, the electronic device 200 may enter a radio mode (S610). Here, if a preset user command is input while outputting the first music included in the playlist, the electronic device 100 may enter the radio mode from the second music to be output next to the first music.

Upon entering the radio mode, the electronic device 200 may obtain meta information about music included in the playlist (S620).

The electronic device 200 may extract a keyword included in the acquired meta information (S630). Here, the keyword may be a keyword related to at least one of a song title 310, a singer name 320, a genre 330, and a release year 340 extracted from meta information about music included in the playlist.

The electronic device 200 may transmit the extracted keyword to the search server 100 to obtain detailed information 410 on music based on the keyword (S640).

The electronic device 200 may receive detailed information 410 about music included in the playlist from the search server 100 (S650). Here, the electronic device 200 may receive detailed information 410 about a plurality of pieces of music included in the playlist before starting a description of the music included in the playlist and an output of the music included in the playlist. .

The electronic device 200 may output a description of the music included in the playlist and the music included in the playlist based on the obtained detailed information 410 (S660). Here, the electronic device 200 inputs the received detailed information 410 to the natural language synthesis neural network model 420 to synthesize the description of the music included in the playlist in text format natural language, and the synthesized text format natural language ( 430) can be converted into voice and output. In addition, the electronic device 200 identifies the type of voice to be output, such as a male voice, a female voice, a celebrity voice, etc., based on the music genre 330 extracted from the meta information about the music included in the playlist, and synthesizes the synthesized voice. The natural language 430 in text format may be converted into an identified type of voice and output. The electronic device 200 identifies previously output detailed information 410 among the received detailed information 410 and includes it in a playlist based on the detailed information 410 that is different from the identified previously output detailed information 410. A description of the selected music and music included in the playlist can be output.

According to one embodiment, the method according to various embodiments disclosed in this document may be included and provided in a computer program product. Computer program products may be traded between sellers and buyers as commodities. A computer program product is distributed in the form of a device-readable storage medium (e.g. compact disc read only memory (CD-ROM)), or through an application store (e.g. Play Store™) or on two user devices (e.g. It can be distributed (eg downloaded or uploaded) online, directly between smartphones. In the case of online distribution, at least a part of a computer program product (eg, a downloadable app) is stored on a device-readable storage medium such as a memory of a manufacturer's server, an application store server, or a relay server. It can be temporarily stored or created temporarily.

Although the preferred embodiments of the present disclosure have been shown and described above, the present disclosure is not limited to the specific embodiments described above, and is common in the technical field belonging to the present disclosure without departing from the gist of the present disclosure claimed in the claims. Of course, various modifications and implementations are possible by those with knowledge of, and these modifications should not be individually understood from the technical spirit or perspective of the present disclosure.

200: electronic device
210: user interface
220: communication interface
230: speaker
240: memory
250: processor

Claims (16)

In electronic devices,
user interface;
communication interface;
speaker;
Memory; and
Including; processor;
the processor,
When a preset user command is input, the radio mode is entered,
When entering the radio mode, obtaining meta information about music included in the playlist;
Extracting a keyword included in the obtained meta information,
Transmitting the extracted keyword to a search server to obtain detailed information on the music based on the keyword;
receiving detailed information about music included in the playlist from the search server;
An electronic device that outputs a description of music included in the playlist and music included in the playlist based on the obtained detailed information. According to claim 1,
the processor,
An electronic device that receives a description of music included in the playlist and detailed information about a plurality of pieces of music included in the playlist before starting output of the music included in the playlist. According to claim 1,
the processor,
Inputting the received detailed information to a natural language synthesis neural network model to synthesize a description of music included in the playlist in text format natural language;
An electronic device that converts the synthesized text-type natural language into voice and outputs it. According to claim 3,
the processor,
Based on the genre of the music extracted from the meta information about the music included in the playlist, the type of voice to be output is identified;
converting the synthesized text-type natural language into the identified type of voice and outputting it;
The type of voice is one of a male voice, a female voice, and a celebrity voice, the electronic device. According to claim 1,
the processor,
Identifying previously output detailed information among the received detailed information;
An electronic device that outputs a description of music included in the playlist and music included in the playlist based on detailed information different from the identified detailed information previously output. According to claim 1,
the processor,
If the preset user command is input while outputting the first music included in the playlist, second music to be output next to the first music enters the radio mode. According to claim 1,
The keyword is
The electronic device, which is a keyword related to at least one of a song title, a singer name, a genre, and a release year extracted from meta information about music included in the playlist. According to claim 1,
The above detailed information,
Information on at least one of song title information, singer name information, release date information, album information, lyricist and composer information, related artist information, and history information of the music. In the control method of an electronic device,
If a preset user command is input, entering a radio mode;
obtaining meta information about music included in a playlist when entering the radio mode;
extracting a keyword included in the obtained meta information;
transmitting the extracted keyword to a search server to obtain detailed information on the music based on the keyword;
receiving detailed information about music included in the playlist from the search server; and
and outputting a description of the music included in the playlist and the music included in the playlist based on the obtained detailed information. According to claim 9,
Receiving the detailed information,
and receiving a description of the music included in the playlist and detailed information about a plurality of pieces of music included in the playlist before starting to output the music included in the playlist. According to claim 9,
The outputting step is
inputting the received detailed information into a natural language synthesis neural network model to synthesize a description of the music included in the playlist into a natural language in text format; and
Containing, the control method comprising converting and outputting the synthesized natural language in text format into voice. According to claim 11,
The outputting step is
identifying a type of audio to be output, based on the genre of the music extracted from meta information about the music included in the playlist; and
Converting the synthesized text-type natural language into the identified type of voice and outputting it;
The control method of claim 1 , wherein the type of voice is one of a male voice, a female voice, and a celebrity voice. According to claim 9,
The outputting step is
identifying previously output detailed information among the received detailed information; and
and outputting a description of the music included in the playlist and the music included in the playlist based on the identified detailed information different from the previously output detailed information. According to claim 9,
Step of entering the radio mode,
and entering the radio mode from second music to be output next to the first music when the preset user command is input while outputting the first music included in the playlist. According to claim 9,
The keyword is
A keyword related to at least one of a song name, a singer name, a genre, and a release year extracted from meta information about music included in the playlist. According to claim 9,
The above detailed information,
Information on at least one of song title information, singer name information, release date information, album information, lyricist and composer information, related artist information, and history information of the music.

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