KR20190100543A - Electronic device and method for composing music based on artificial intelligence algorithm thereof - Google Patents

Abstract

According to various embodiments of the present invention, an electronic device capable of providing guide information for composition to a user comprises: a display; a processor electrically connected to the display; and a memory electrically connected to the processor. When the memory is executed, the processor may check a defined parameter and an inputted sound track, check composition information corresponding to the checked parameter and sound track based on artificial intelligence algorithm, and store instructions to display guide information for correcting the sound track based on the checked composition information on the display, thereby providing guide information to enable a user to easily compose music. In addition, other embodiments of the present invention are possible.

Description

Electronic composition and artificial intelligence algorithm based music composition method {ELECTRONIC DEVICE AND METHOD FOR COMPOSING MUSIC BASED ON ARTIFICIAL INTELLIGENCE ALGORITHM THEREOF}

Various embodiments of the present disclosure relate to a method and an electronic device for composing music based on an artificial intelligence algorithm.

Due to the development of audio and recording technology, users can easily compose music using electronic devices such as smart phones. “Music” may be a set of sheet music or sound files (eg, musical instrument digital interface (MIDI) notes) dedicated to various instruments. Sheet music dedicated to musical instruments can be divided into separate tracks.

The electronic device may provide various tools (eg, a program and a user interface) related to music composition so that a user can easily compose music. Programs related to music composition may be produced corresponding to the genre of music (eg, rock, classic, pop, jazz, etc.) and musical instruments (eg, piano, drums, etc.) that play music, and based on the programs, A user interface can be implemented.

The electronic device may provide guide information to the user interface to facilitate composing of the genre based on information corresponding to each genre.

The process of composing music can be difficult even for professionals who have learned composition theory. In particular, when composing music based on a specific genre, a user needs skills and experience for composition. The genre of music corresponds to shared traditions and customs and may be defined as a common category for classifying music. The genre of music may be defined as a MIDI / music set, and the electronic device may identify the selected genre and provide the user with guide information for composition in response to the checked genre.

The electronic device may check preset information in response to the selected genre, and provide guide information for composition to the user based on the preset information. For example, information corresponding to each genre may be preset, and the electronic device may provide the user with preset information corresponding to the selected genre. The electronic device not only provides information on the composition based on a predetermined static algorithm, but also provides feedback information in real time with respect to the direction of the composition desired by the user, or guides to the next note corresponding to the input note. Information can be difficult to provide.

According to various embodiments of the present disclosure, an electronic device may include a display; A processor electrically connected to the display; And a memory electrically coupled to the processor, wherein, when executed, the processor identifies the defined parameter and the input sound track and assigns the identified parameter and sound track based on an artificial intelligence algorithm. Instructions for identifying corresponding composition information and displaying on the display guide information for correcting the input sound track based on the confirmed composition information.

According to various embodiments of the present disclosure, a music composition method includes identifying a defined parameter and an input sound track, checking composition information corresponding to the identified parameter and sound track, based on an artificial intelligence algorithm, Guide information for correcting the input sound track may be provided based on the composed composition information.

Various embodiments of the present invention may provide guide information to correct a sound and a note input by a user based on an artificial intelligence technology (eg, an artificial intelligence algorithm). According to various embodiments of the present disclosure, the user may easily compose preferred music through the provided guide information. Various embodiments of the present invention may provide guide information for composing music to correspond to each genre in correspondence with each genre. According to various embodiments of the present disclosure, an artificial intelligence algorithm may be implemented based on a user's input preference, and the music corresponding to the selected genre may be composed based on the artificial intelligence algorithm.

According to various embodiments of the present disclosure, a sound and a note input by a user may be identified, and guide information corresponding to the input sound and a note may be provided to the user in real time based on an artificial intelligence algorithm. Various embodiments of the present invention may provide guide information so that a user can easily compose music based on an artificial intelligence algorithm. According to the present invention, the user's convenience can be improved in composing music.

1 is a block diagram of an electronic device in a network environment according to various embodiments of the present disclosure.
2 is a flowchart illustrating a method of composing music based on an artificial intelligence algorithm according to various embodiments of the present disclosure.
3 is a flowchart illustrating a method of composing music based on an artificial intelligence algorithm according to various embodiments of the present disclosure.
4 is a diagram illustrating a process of composing music based on an artificial intelligence algorithm according to various embodiments of the present disclosure.
5 is an exemplary view illustrating a method of checking a style of music based on an artificial intelligence algorithm according to various embodiments of the present disclosure.
6 is an exemplary view illustrating a method of checking the difficulty of a composition based on an artificial intelligence algorithm according to various embodiments of the present disclosure.
7A to 7B are exemplary diagrams of music strength and structural spectrum of music according to various embodiments of the present disclosure.
8 is an exemplary diagram for a method of predicting a next sound based on an artificial intelligence algorithm according to various embodiments of the present disclosure.
9 is an exemplary diagram for a method of correcting a sound corresponding to a selected style based on an artificial intelligence algorithm according to various embodiments of the present disclosure.
FIG. 10 is a diagram illustrating a method of correcting a sound in response to a difficulty level and a music structure of a composition identified based on an artificial intelligence algorithm, according to various embodiments of the present disclosure. Referring to FIG.
11A through 11D are exemplary diagrams of a user interface illustrating a process of composing music based on an artificial intelligence algorithm according to various embodiments of the present disclosure.
12 is an exemplary diagram illustrating a user interface for composing music according to various embodiments of the present disclosure.
13A to 13D are exemplary views illustrating a user interface for setting a project according to various embodiments of the present disclosure.
14 is a diagram illustrating a user interface in which a project is set, according to various embodiments of the present disclosure.
15A to 15D are exemplary views illustrating a piano roll-type user interface for composing music based on an artificial intelligence algorithm according to various embodiments of the present disclosure.
16A to 16C are diagrams illustrating a music score user interface for composing music based on an artificial intelligence algorithm according to various embodiments of the present disclosure.

1 is a block diagram of an electronic device 101 in a network environment 100, according to various embodiments. Referring to FIG. 1, in the network environment 100, the electronic device 101 communicates with the electronic device 102 through a first network 198 (eg, a short-range wireless communication network) or the second network 199. The electronic device 104 may communicate with the server 108 through a long range wireless communication network. According to an embodiment, the electronic device 101 may communicate with the electronic device 104 through the server 108. According to an embodiment, the electronic device 101 may include a processor 120, a memory 130, an input device 150, an audio output device 155, a display device 160, an audio module 170, and a sensor module. 176, interface 177, haptic module 179, camera module 180, power management module 188, battery 189, communication module 190, subscriber identification module 196, or antenna module 197. ) May be included. In some embodiments, at least one of the components (for example, the display device 160 or the camera module 180) may be omitted or one or more other components may be added to the electronic device 101. In some embodiments, some of these components may be implemented in one integrated circuit. For example, the sensor module 176 (eg, fingerprint sensor, iris sensor, or illuminance sensor) may be implemented embedded in the display device 160 (eg, display).

The processor 120, for example, executes software (eg, the program 140) to execute at least one other component (eg, hardware or software component) of the electronic device 101 connected to the processor 120. It can control and perform various data processing or operations. According to one embodiment, as at least part of data processing or operation, processor 120 may send instructions or data received from another component (eg, sensor module 176 or communication module 190) to volatile memory 132. Can be loaded into, processed in a command or data stored in volatile memory 132, and stored in the non-volatile memory (134). According to an embodiment, the processor 120 may include a main processor 121 (eg, a central processing unit or an application processor), and a coprocessor 123 (eg, a graphics processing unit, an image signal processor) that may operate independently or together. , Sensor hub processor, or communication processor). Additionally or alternatively, the coprocessor 123 may be configured to use lower power than the main processor 121 or to be specialized for its designated function. Here, the coprocessor 123 may be implemented separately from or as part of the main processor 121.

The coprocessor 123 may, for example, replace the main processor 121 while the main processor 121 is in an inactive (eg, sleep) state, or the main processor 121 may be active (eg, execute an application). At least one of the components of the electronic device 101 (eg, the display device 160, the sensor module 176, or the communication module 190) together with the main processor 121 while in the) state. Control at least some of the functions or states associated with the. According to one embodiment, the coprocessor 123 (eg, image signal processor or communication processor) may be implemented as part of other functionally related components (eg, camera module 180 or communication module 190). have.

The memory 130 may store various data used by at least one component (eg, the processor 120 or the sensor module 176) of the electronic device 101. The data may include, for example, software (eg, the program 140) and input data or output data for a command related thereto. The memory 130 may include a volatile memory 132 (eg, DRAM, SRAM, or SDRAM) or a nonvolatile memory 134.

The memory 130 may store various data used by at least one component (eg, the processor 120 or the sensor module 176) of the electronic device 101. The data may include, for example, software (eg, the program 140) and input data or output data for a command related thereto. The memory 130 may include a volatile memory 132 or a nonvolatile memory 134.

The program 140 may be stored as software in the memory 130, and may include, for example, an operating system 142, middleware 144, or an application 146 (eg, an application program).

The input device 150 may receive a command or data to be used for a component (for example, the processor 120) of the electronic device 101 from the outside (for example, a user) of the electronic device 101. The input device 150 may include, for example, a microphone, a mouse, or a keyboard.

The sound output device 155 may output a sound signal to the outside of the electronic device 101. The sound output device 155 may include, for example, a speaker or a receiver. The speaker may be used for general purposes such as multimedia playback or recording playback, and the receiver may be used to receive an incoming call. According to one embodiment, the receiver may be implemented separately from or as part of a speaker.

The display device 160 may visually provide information to the outside (eg, a user) of the electronic device 101. The display device 160 may include, for example, a display, a hologram device, or a projector and a control circuit for controlling the device. According to an exemplary embodiment, the display device 160 may include touch circuitry configured to sense a touch, or sensor circuit (eg, a pressure sensor) configured to measure the strength of the force generated by the touch. have.

The audio module 170 may convert sound into an electric signal or, conversely, convert an electric signal into a sound. According to an embodiment, the audio module 170 acquires sound through the input device 150, or an external electronic device (for example, directly or wirelessly connected to the sound output device 155 or the electronic device 101). Sound may be output through the electronic device 102)) (for example, a speaker or a headphone).

The sensor module 176 detects an operating state (eg, power or temperature) of the electronic device 101, or an external environmental state (eg, a user state), and generates an electrical signal or data value corresponding to the detected state. can do. According to an embodiment, the sensor module 176 may include, for example, a gesture sensor, a gyro sensor, an air pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an infrared sensor, a biometric sensor, It may include a temperature sensor, a humidity sensor, or an illuminance sensor.

The interface 177 may support one or more designated protocols that may be used for the electronic device 101 to be directly or wirelessly connected to an external electronic device (for example, the electronic device 102). According to an embodiment, the interface 177 may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, an SD card interface, or an audio interface.

The connection terminal 178 may include a connector through which the electronic device 101 may be physically connected to an external electronic device (eg, the electronic device 102). According to an embodiment, the connection terminal 178 may include, for example, an HDMI connector, a USB connector, an SD card connector, or an audio connector (eg, a headphone connector).

The haptic module 179 may convert an electrical signal into a mechanical stimulus (eg, vibration or movement) or an electrical stimulus that can be perceived by the user through tactile or kinesthetic senses. According to one embodiment, the haptic module 179 may include, for example, a motor, a piezoelectric element, or an electrical stimulation device.

The camera module 180 may capture still images and videos. According to an embodiment, the camera module 180 may include one or more lenses, an image sensor, an image signal processor, or flashes.

The power management module 188 may manage power supplied to the electronic device 101. According to one embodiment, the power management module 188 may be implemented, for example, as at least part of a power management integrated circuit (PMIC).

The battery 189 may supply power to at least one component of the electronic device 101. According to one embodiment, the battery 189 may include, for example, a non-rechargeable primary cell, a rechargeable secondary cell or a fuel cell.

The communication module 190 may establish a direct (eg wired communication channel) or wireless communication channel between the electronic device 101 and an external electronic device (eg, the electronic device 102, the electronic device 104, or the server 108). Establish and perform communication over established communication channels. The communication module 190 may operate independently of the processor 120 (eg, an application processor) and include one or more communication processors that support direct (eg, wired) communication or wireless communication. According to one embodiment, the communication module 190 is a wireless communication module 192 (eg, a cellular communication module, a near field communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module 194 (eg It may include a local area network (LAN) communication module, or a power line communication module. Corresponding ones of these communication modules may be used by using a first network 198 (e.g. a short range communication network such as Bluetooth, WiFi direct or infrared data association) or a second network 199 (e.g. cellular network, the Internet). Or a telecommunication network such as a computer network (for example, a LAN or a WAN). These various types of communication modules may be integrated into one component (eg, a single chip) or may be implemented by a plurality of components (eg, a plurality of chips) separate from each other. The wireless communication module # 92 uses subscriber information (e.g., international mobile subscriber identifier (IMSI)) stored in the subscriber identification module # 96 such as the first network # 98 or the second network # 99. The electronic device # 01 may be identified and authenticated in the communication network.

The antenna module 197 may transmit a signal or power to an external (eg, an external electronic device) or receive a signal or power from the outside. According to one embodiment, the antenna module 197 may comprise one or more antennas, from which at least one suitable for a communication scheme used in a communication network, such as the first network 198 or the second network 199. Antenna may be selected by the communication module 190, for example. The signal or power may be transmitted or received between the communication module 190 and the external electronic device through the at least one selected antenna.

At least some of the components are connected to each other and connected to each other through a communication method between peripheral devices (eg, a bus, a general purpose input and output (GPIO), a serial peripheral interface (SPI), or a mobile industry processor interface (MIPI)). For example, commands or data).

According to an embodiment, the command or data may be transmitted or received between the electronic device 101 and the external electronic device 104 through the server 108 connected to the second network 199. Each of the electronic devices 102 and 104 may be a device of the same or different type as the electronic device 101. According to an embodiment of the present disclosure, all or part of operations executed in the electronic device 101 may be executed in one or more external devices among the external electronic devices 102, 104, and 108. For example, when the electronic device 101 needs to perform a function or service automatically or in response to a request from a user or another device, the electronic device 101 instead of executing the function or service itself. In addition to or in addition, one or more external electronic devices may be requested to perform at least a part of the function or the service. The one or more external electronic devices that receive the request may execute at least a part of the requested function or service, or an additional function or service related to the request, and transmit a result of the execution to the electronic device 101. The electronic device 101 may process the result as it is or additionally and provide it as at least part of a response to the request. To this end, for example, cloud computing, distributed computing, or client-server computing technology may be used.

2 is a flowchart illustrating a method of composing music based on an artificial intelligence algorithm according to various embodiments of the present disclosure.

Referring to FIG. 2, in operation 201, a processor (eg, the processor 120 of FIG. 1) of an electronic device (eg, the electronic device 100 of FIG. 1) may identify a defined composition parameter. For example, the composition parameter may include notes and musical scores input by the user, or music recorded by the user. According to various embodiments, the composition parameter may include information about a style of music selected by the user and information about a musical instrument selected by the user. For example, the composition parameter may include a sheet music previously created by the user and a history related to the music recorded by the user.

In operation 203, the processor 120 may check an input sound track (for example, notes and scores) for composing music. For example, the sound track may include a note input by a user, and may include a sheet music corresponding to the loaded music file.

In operation 205, the processor 120 may identify composition information for music composition, based on an artificial intelligence algorithm. Artificial intelligence algorithms may include artificial neural network (ANN) technology. According to various embodiments of the present disclosure, the electronic device 100 may check previous learning information based on an artificial neural network technology and may be controlled based on the identified learning information. Artificial neural network technology may include a recurrent neural network (RNN) and a convolutional neural network (CNN). A cyclic neural network is an algorithm that checks an operation sequence over time and learns based on the continuity of information, and a convolutional neural network is an algorithm that analyzes a static image. According to various embodiments of the present disclosure, the electronic device 100 may identify previously learned learning information based on an artificial intelligence algorithm, and compose music in response to the learning information. For example, the electronic device 100 may identify music that the user prefers through the learning information and compose music to match the music that the user prefers.

In operation 207, the processor 120 may perform at least one of two operations. First, the processor 120 may provide information for correcting a sound track in real time based on the confirmed composition information. For example, when a user inputs a specific note (eg, a sound track), the processor 120 checks the adequacy of the inputted note based on the checked composition information, and corrects the specific note. A guide can be provided to the user. Secondly, the processor 120 may provide information on the next sound track determined according to the input sound track based on the confirmed composition information. For example, when the user inputs a specific note (eg, a sound track), the processor 120 may provide the user with a guide for the next note to be input after the inputted note based on the identified composition information. Can be. According to various embodiments of the present disclosure, the guide for correcting sound may be similar to a process of correcting a spelling while composing a message in the electronic device 100 or providing a predicted next word.

In operation 209, the processor 120 may determine whether the sound track is corrected. In operation 207, the processor 120 may provide a user with a guide related to the correction of the sound track, and, at the user's discretion, may determine the correction of the sound track.

When correcting the sound track in operation 209, the processor 120 may correct the sound track based on the provided information in operation 211. The information provided may include information for correcting the sound track in real time in operation 207 and information about the next sound track determined in response to the input sound track. If the sound track is not corrected in operation 209, the operation may return to operation 203.

According to various embodiments, composing music can be multidimensional and subjective. The user may predefine a preferred style (eg, genre) for the composition, and a style of music for predicting and generating the next sound may be predetermined. According to various embodiments of the present disclosure, the electronic device 100 may predict a code, a sheet music, and a note that is input as the next sound based on a sequence of the input sound. The electronic device 100 may predict and generate a next sound based on an artificial intelligence algorithm, and the user may proceed with correction or ignore the correction for the next sound generated.

An electronic device (eg, the electronic device 100 of FIG. 1) according to various embodiments of the present disclosure may include a display (eg, the display device 160 of FIG. 1); A processor (eg, the processor 120 of FIG. 1) electrically connected to the display 160; And a memory (eg, memory 130 of FIG. 1) electrically connected to the processor 120, which, when executed, causes the processor to execute the defined parameters and input sound tracks. The display 160 confirms composition information corresponding to the identified parameter and sound track based on an artificial intelligence algorithm and corrects the input sound track based on the confirmed composition information. Instructions can be stored for display in.

According to various embodiments of the present disclosure, the defined parameter may include at least one of information about a style of music, information about a musical instrument, information about a rhythm, information about a beat, and information about a genre of music.

According to various embodiments of the present disclosure, the artificial intelligence algorithm learns information on a user's disposition based on a specified artificial neural network, and based on information on the learned user's disposition, determines whether to correct the input sound track. Can be used to determine.

According to various embodiments of the present disclosure, the information about the user's disposition may include at least one of a genre of music preferred by the user, a singer preferred by the user, an album preferred by the user, and a song preferred by the user. have.

According to various embodiments of the present disclosure, the sound track may include at least one note and may be divided into regions set based on the whole score.

According to various embodiments of the present disclosure, the processor 120 checks information on a style of music corresponding to the sound track based on the artificial intelligence algorithm, and based on the information on the style of the checked music, the sound. Guide information for correcting the track can be displayed.

According to various embodiments of the present disclosure, the processor 120 checks information on the difficulty level of the composition corresponding to the sound track based on the artificial intelligence algorithm, and based on the information on the difficulty level of the confirmed composition. Guide information for correcting the track can be displayed.

According to various embodiments of the present disclosure, the processor 120 displays the guide information through a user interface, checks whether the sound track is approved for correction, and if the correction is approved, in response to the displayed guide information. The sound track may be corrected.

According to various embodiments of the present disclosure, the processor 120 may determine the number of sounds to be corrected based on the displayed guide information, and correct the sound track in response to the identified number of sounds.

According to various embodiments of the present disclosure, the processor 120 may check setting information, and automatically correct the sound track or manually correct the sound track in response to the confirmed setting information.

3 is a flowchart illustrating a method of composing music based on an artificial intelligence algorithm according to various embodiments of the present disclosure.

FIG. 3 may be a detailed flowchart of the music composition process disclosed in FIG. 2. Referring to FIG. 3, in operation 301, a processor (eg, the processor 120 of FIG. 1) of an electronic device (eg, the electronic device 100 of FIG. 1) may identify a defined composition parameter. For example, the composition parameter may include notes and musical scores input by the user, or music recorded by the user. According to various embodiments, the composition parameter may include information about a style of music selected by the user and information about a musical instrument selected by the user.

In operation 303, the processor 120 may check the sound input by the user. The user may input a sound for composing music, and the processor 120 may check the input sound.

In operation 305, the processor 120 may reflect an artificial intelligence algorithm in composing music. The AI algorithm may include artificial neural network (ANN) technology. According to various embodiments of the present disclosure, the electronic device 100 may check previous learning information (eg, composition related information, preferred music genre, preferred singer, preferred music) based on an artificial neural network technology, and Music can be composed based on the identified learning information. For example, the electronic device 100 may compose the music to match the music preferred by the user through the learning information.

In operation 307, the processor 120 may provide a guide for correcting the sound input in operation 303 in real time. For example, the processor 120 may check the input sound and determine whether to correct the checked sound based on the learning information. The processor 120 may provide a user with a guide for correction in order to correct the sound.

In operation 309, the processor 120 determines whether the user approves the sound in relation to the correction of the sound, and performs correction on the input sound in operation 311, or in operation 313. The correction may not be made.

In operation 315, the processor 120 may predict and generate a next sound based on an artificial intelligence algorithm. According to an embodiment, the processor 120 may proceed from operation 305 to operation 315 or from operation 313 to operation 315. The processor 120 checks previous learning information (eg, composition related information, favorite music genre, favorite singer, favorite music) based on an artificial intelligence algorithm, and based on the identified learning information, Sound can be predicted and generated.

In operation 317, the processor 120 may check whether the user approves the generated next sound, determine the generated next sound in operation 319, or return to operation 315.

In operation 321, the processor 120 may determine whether the composition is completed. For example, when receiving the confirmation of the composition completion from the user, the processor 120 may confirm that the composition is completed, and store the music composed in operation 323 in a memory (for example, the memory 130 of FIG. 1). If the composition is not completed in operation 321, the process may return to operation 305.

4 is a diagram illustrating a process of composing music based on an artificial intelligence algorithm according to various embodiments of the present disclosure.

Referring to FIG. 4, a music style may be defined in operation 401. The music style may be defined as a set of songs. The music style may mean genre 401-1, and may include, for example, rock, pop, classic, jazz, and the like. The music style may be defined by the user and may include derived genres 401-1 such as soft rock and hard rock. The music style may be defined as a specific song, a track of an album, or a track of a song. According to various embodiments, the music style may be defined based on the genre 401-1, the album 401-2, the singer 401-3, the collection 401-4, and the song 401-5. . According to various embodiments of the present disclosure, a processor (eg, the processor 120 of FIG. 1) of the electronic device (eg, the electronic device 100 of FIG. 1) may select at least one music style.

In operation 403, the processor 120 may select at least one musical instrument. In operation 401, the processor 120 may select at least one music style and select at least one musical instrument in response to the selected music style. The musical instrument may be preset in accordance with the music style or may be set by a user's selection.

In operation 405, the processor 120 may check the input sound. The sound may include a sound input by the user or corresponding to the loaded music file. Sounds can include MIDI files, scales, waveforms.

In operation 407, the processor 120 may check the defined style and the input sound, and recognize the style of music based on an artificial intelligence algorithm. For example, the processor 120 may check the input sound and determine at least one style among the defined styles based on the checked sound.

In operation 409, the processor 120 may check the input sound and determine a difficulty level of the composition based on an artificial intelligence algorithm. For example, it is possible to determine whether the input sound is poly, nomo, or multi-dimensional composition, and determine the difficulty of the composition in response to the identified sound.

When the style is determined in operation 407, the processor 120 may determine a structure of music based on an artificial intelligence algorithm in operation 411. Determining the structure of the music may arbitrarily determine the music structure of one of the music structures defined in operation 413, or one music structure may be determined according to a user's selection in operation 415.

When the style of music and the difficulty of composition are determined, in operation 417, the processor 120 may adjust the input sound based on an artificial intelligence algorithm. In operation 419, the processor 120 may correct the input sound to a sound selected by the user. According to various embodiments, the processor 120 may predict a sound to be corrected based on an artificial intelligence algorithm, and provide a user with a guide for correcting the sound. The processor 120 may check whether the user approves the guide and correct the input sound in response to the user's approval.

In operation 421, the processor 120 may compose music of a user's preferred style based on an artificial intelligence algorithm.

In operation 423, the processor 120 may predict the next sound of the input sound based on the artificial intelligence algorithm. In operation 425, the processor 120 may check a user input for the number of the sound to be predicted, and predict the next sound by the number of the identified sound. In operation 427 the processor 120 may randomly predict the next sound. The processor 120 may randomly predict the next sound corresponding to the style preferred by the user. In operation 429, the processor 120 may predict the next sound according to the prediction method selected by the user.

In operation 431, the processor 120 may compose music of a next step. For example, when composing of one node is completed, composing of the next node can be performed.

5 is an exemplary view illustrating a method of checking a style of music based on an artificial intelligence algorithm according to various embodiments of the present disclosure.

Referring to FIG. 5, a processor (eg, the processor 120 of FIG. 1) of an electronic device (eg, the electronic device 100 of FIG. 1) may include a defined style 501 and a sound 503 input by a user. As shown in FIG. 2, the music style may be recognized 505 based on the style 501 and the sound 503 input by the user. The processor 120 may recognize 505 a style of music based on an artificial intelligence algorithm. According to various embodiments, the electronic device 100 may include a RAW audio classifier 505-1, a MIDI classifier 505-2, and a TXT classifier 505-3, and the RAW audio classifier 505-1. At least one classifier of the MIDI classifier 505-2 and the TXT classifier 505-3 may be used to determine an AI algorithm based music style. The processor 120 may identify a style of music to be composed, in response to the determined music style.

According to various embodiments, the operation 505 of recognizing a style of music based on an artificial intelligence algorithm may correspond to operation 407 illustrated in FIG. 4.

6 is an exemplary view illustrating a method of checking the difficulty of a composition based on an artificial intelligence algorithm according to various embodiments of the present disclosure.

Referring to FIG. 6, a processor (eg, the processor 120 of FIG. 1) of an electronic device (eg, the electronic device 100 of FIG. 1) checks a note 601 input by the user and checks the note 601. Based on the sound 601 input by the user, the difficulty of the composition may be recognized 603. The processor 120 may recognize the difficulty of the composition 603 based on an artificial intelligence algorithm. According to various embodiments of the present disclosure, the electronic device 100 may include a RAW audio classifier 603-1, a MIDI classifier 603-2, and a TXT classifier 603-3, and the RAW audio classifier 603-1. ), At least one classifier of the MIDI classifier 603-2 and the TXT classifier 603-3 may be used to determine a compositional difficulty based on an AI algorithm. The processor 120 may compose music based on the determined difficulty of composition.

According to various embodiments, the operation 603 of recognizing the difficulty of the composition based on the artificial intelligence algorithm may correspond to the operation 409 illustrated in FIG. 4.

7A to 7B are exemplary diagrams of music strength and structural spectrum of music according to various embodiments of the present disclosure.

According to various embodiments of the present disclosure, the electronic device (eg, the electronic device 100 of FIG. 1) may determine a structure of music based on an artificial intelligence algorithm. The operation of determining the structure of the music may correspond to operation 411 illustrated in FIG. 4. The structure of the music may be determined corresponding to the genre of music. For example, the structure of the music corresponding to the genre, such as rock or pop, may be a less complex structure than a progressive rock or orchestra track. According to various embodiments, the structure of the music may be determined based on the style of the music, and the structure of the music may be determined corresponding to at least one of a singer, a genre, an album, and a collection. The structure of the music may include the strength of the music.

7A is a diagram illustrating a music structure and music strength for a specific music. Referring to FIG. 7A, the music structure includes “intro”, “verse”, “chorus”, “bridge”, and “ending”, “intro”, “verse1” 701, “chorus1” 703, It may be configured in the same order as "verse2" (705). The music structure is not limited to a specific order, and at least one music structure may be set according to the style of music. Referring to FIG. 7A, the strengths of configurations (eg, “intro”, “verse”, “chorus”, “bridge”, and “ending”) included in the music structure are different, and the intensity may be adjusted according to a user's setting. Can be.

7B is a diagram showing the structural spectrum of music. The structural spectrum of FIG. 7B may be a structural spectrum corresponding to at least a portion of specific music. Referring to FIG. 7B, after a first verse 711, a chorus 713 is positioned, and after a second verse 715, a solo 717 is positioned. Can be. The structural spectrum is determined corresponding to the composition of the music, and the composition of the music may be determined based on the style of the music.

8 is an exemplary diagram for a method of predicting a next sound based on an artificial intelligence algorithm according to various embodiments of the present disclosure.

Referring to FIG. 8, a processor (eg, the processor 120 of FIG. 1) of an electronic device (eg, the electronic device 100 of FIG. 1) checks a sequence 801 input by a user and uses an artificial intelligence algorithm. Based on this, the composition situation can be predicted. The composition situation may include a sound or a sequence to be located next to the sequence 801. The processor 120 may check the number of sounds 805 input by the user and predict a composition situation (for example, the next sound) corresponding to the number 805. The processor 120 may predict the composition situation (eg, at least one sample to be located next sound) at random 807. The processor 120 may perform the composition 809 of the next step based on the above-described process. Although not shown, the predicted composition situation may be applied or ignored in response to the approval of the user.

9 is an exemplary diagram for a method of correcting a sound corresponding to a selected style based on an artificial intelligence algorithm according to various embodiments of the present disclosure.

Referring to FIG. 9, a processor (eg, the processor 120 of FIG. 1) of an electronic device (eg, the electronic device 100 of FIG. 1) checks a sequence (eg, sound track or sheet music) input by a user. And, based on the artificial intelligence algorithm can display information for correcting the notes (eg chords, notes, tones). The processor 120 may provide a guide (eg, a hint) to the user to correct a sound that does not match a predetermined music style based on the identified sequence. For example, the processor 120 may determine at least one sequence based on an artificial intelligence algorithm, corresponding to the predetermined music style. The at least one sequence may include a sequence set by a user and a sequence learned by an artificial intelligence algorithm based on a music style.

Referring to FIG. 9, if the processor 120 determines that the input first sound is not appropriate based on the determined music style, the processor 120 determines a second sound corresponding to the appropriate sound and displays a guide for the second sound. can do. The displayed guide may include arrows showing movement to the second sound and the second sound.

FIG. 10 is a diagram illustrating a method of correcting a sound in response to a difficulty level and a music structure of a composition identified based on an artificial intelligence algorithm, according to various embodiments of the present disclosure. Referring to FIG.

Referring to FIG. 10, a processor (eg, the processor 120 of FIG. 1) of an electronic device (eg, the electronic device 100 of FIG. 1) may recognize a music style based on an artificial intelligence algorithm in operation 1001. . The processor 120 may check a sequence (eg, a sound) input by the user in operation 1003. In operation 1005, the processor 120 may determine whether the identified sequence is appropriate based on the recognized music style. When the processor 120 determines that the checked sequence is valid, the processor 120 may maintain the checked sequence. When the processor 120 determines that the checked sequence is not valid, the processor 120 may adjust the checked sequence based on an artificial intelligence algorithm. According to various embodiments of the present disclosure, the processor 120 may check the composition difficulty based on the artificial intelligence algorithm in operation 1007, and determine the music structure based on the artificial intelligence algorithm in operation 1009. The processor 120 may adjust the identified sequence in operation 1005 with reference to the identified compositional difficulty and the determined music structure. After adjusting the sound based on the artificial intelligence algorithm in operation 1005, the processor 120 may perform the composition of the next step in operation 1011.

11A through 11D are exemplary diagrams of a user interface illustrating a process of composing music based on an artificial intelligence algorithm according to various embodiments of the present disclosure.

Referring to FIG. 11A, two types of user interfaces (eg, pianoroll 1110 and score 1120) are shown. The user interface may include a graphical user interface (GUI) for representing notes.

According to various embodiments, the piano roll 1110 may be divided into an intro part and a main part, and may include a grid corresponding to the coordinates of a piano keyboard and a note. The piano roll 1110 may start a musical note in the form of a block and may distinguish each node. The sheet music 1120 may omit the intro part and may show only the main part. The score 1120 may include a clef and a beat, and may include a note in a stave. The piano roll 1110 and the music score 1120 may have the same functions as the illustrated image is different from each other.

Referring to FIG. 11A, the notes shown in the piano roll 1110 and the notes shown in the score 1120 may be the same notes. For example, the “doshosol” note shown in the third section of the piano roll 1110 corresponds to the “dodosole” shown in the third section of the score 1120. The piano roll 1110 and the score 1120 include a "proof" button, and through the "proof" button, various melodies may be proposed. For example, when a “proof” button is input by a user, a melody list including at least one melody may be displayed. According to various embodiments of the present disclosure, one of the melodies included in the melody list may be selected to correct a note or to predict and generate a next note.

Referring to FIG. 11B, when the “proof” buttons 1107 and 1127 are input by the user, a melody list 1115 including at least one melody (eg, proof 1, proof 2, proof 3) may be displayed. have. For example, the melody list may be displayed in a layer form, but is not limited thereto. According to various embodiments, the processor 120 identifies a melody selected by the user (eg, proof 1), and guide information corresponding to the confirmed melody (eg, a sound not suitable for a music style, a sound to be corrected, or added). Can be displayed. For example, based on the melody proof 1, the processor 120 may determine that the “shi” note of the “doshosol” notes input at the third node does not match. The processor 120 may display first guide information 1117 and 1131 for correcting the “sol” note instead of the “hour” note. In addition, the processor 120 may display second guide information 1119 and 1133 for a sound to be added to the sixth node based on the melody proof 1. According to various embodiments of the present disclosure, the processor 120 may display guide information based on at least one of a user interface in the form of a piano roll 1110 and a user interface in the form of a score 1120.

Referring to FIG. 11C, the processor 120 checks whether the user accepts the first guide information 1117 and 1131, and if the user approves the first guide information 1117. , 1131 may be corrected to a sound corresponding to 1131. The processor 120 may not add a sound corresponding to the second guide information 1119 and 1133 without a user's approval of the second guide information 1119 and 1133.

Referring to FIG. 11D, in response to a user's approval, the processor 120 may correct a previously input sound to sounds 1118 and 1132 corresponding to the first guide information 1117 and 1131. According to various embodiments, the processor 120 may update guide information provided to the user in real time based on an artificial intelligence algorithm. For example, the processor 120 may change the guide information in response to the change of a specific sound, and change the next sound to be corrected based on the changed guide information.

12 is an exemplary diagram illustrating a user interface for composing music according to various embodiments of the present disclosure.

Referring to FIG. 12, a processor (eg, the processor 120 of FIG. 1) of an electronic device (eg, the electronic device 100 of FIG. 1) may set a style for music through the user interface 1201. . The user interface 1201 is divided into an action bar 1205, a timeline section 1207, a track section 1209, and a track setting section 1211. Can be. The operation bar 1205 may include a button (for example, a loop button, a rewind button, a play button, a record button, an cancel input button, a re-enter button, and a menu button) for performing at least one function. The timeline section 1207 may include the organization of snaps, parts of music, and nodes. The track section 1209 may include a track name (eg, an instrument name), a region of the track, and a grid (eg, an image corresponding to a score). The track setting section 1211 may include a mute button, a solo button, a track number, a time for the track, tempo, time signature, a setting button, and a volume button. According to various embodiments, the processor 120 displays a project menu 1203 (eg, open project, new project, save project) for music composition in response to an input of a menu button included in the operation bar 1205. can do.

According to various embodiments, the processor 120 may compose music based on the user interface 1201, but is not limited to the user interface 1201 of FIG. 12.

13A to 13D are exemplary views illustrating a user interface for setting a project according to various embodiments of the present disclosure.

13A to 13D illustrate a user interface for setting a project for music composition, and show a project setting process from step 1 to step 4.

FIG. 13A corresponds to a first step of a project setting process and illustrates a first step user interface 1300. The first stage user interface 1300 may include a music style setting box 1301. The music style setting box 1301 may set a music style for the entire music, and the music style may include a genre of music, a mood of music, a band name, a singer name, and a song title.

The first stage user interface 1300 may include an ON / OFF button 1303 of the artificial intelligence system. The AI system may determine whether to use an AI algorithm in composing music. The AI algorithm checks the music style preferred by the user, the music style previously composed by the user, the rhythm preferred by the user, the beat, the scale, and the like, and based on the identified information, guide information to be provided for music composition is provided. Can be determined. According to various embodiments of the present disclosure, a processor (eg, the processor 120 of FIG. 1) of the electronic device (eg, the electronic device 100 of FIG. 1) checks the ON / OFF button 1303 of the artificial intelligence system, and listens to music. In composing, it may be determined whether to reflect the AI algorithm.

The first stage user interface 1300 may set the degree of variation 1305 in providing guide information for composing. For example, if the degree of variation 1305 is high, the range for predicting the corrected sound may be wide. It is possible to predict a correction sound whose current difference from the height is 3 degrees or less. On the other hand, if the degree of variation 1305 is low, the range for predicting the corrected sound may be narrow. It is possible to predict the corrected sound whose current difference from the height is less than 1 degree.

The first stage user interface 1300 may set a complexity 1307 of music. The complexity of music 1307 may determine how complex to compose in writing. For example, it may be determined whether to compose with polyphony (eg, polyphony) or compose monophony (eg, monophony).

The first stage user interface 1300 may include a next button 1309 for entering the second stage user interface 1310.

FIG. 13B corresponds to a second step of the project setting process and illustrates the second step user interface 1310. The second stage user interface 1310 may include a list of musical instruments 1311 set corresponding to the defined parameter (eg, a music style). Referring to FIG. 13B, an electric guitar, a bass, drums, and a vocal are included in the list of the musical instrument 1311, but are not limited thereto. The second stage user interface 1310 may include a button 1313 for changing the order of the list of musical instruments 1311, a button 1315 for deleting the musical instrument, and a button 1317 for adding the musical instrument. According to various embodiments of the present disclosure, the processor 120 may change the order of the list of the musical instruments 1311, delete the musical instruments, and add the musical instruments. The second stage user interface 1310 may include a next button 1319 for entering the third stage user interface 1320.

FIG. 13C corresponds to a third step of the project setting process and shows a third step user interface 1320. The third stage user interface 1320 may include a music structure 1321 set corresponding to the defined parameter (eg, a music style). Referring to FIG. 13C, the music structure 1321 may include an intro, a reverse 1, a repeating phrase (refrain), and an outro, but is not limited thereto. The third stage user interface 1320 may include a button 1323 for changing the order of the structure of music 1321, a button 1325 for deleting the configuration included in the structure of music 1321, and a structure of music 1321. It may include a button 1327 to add the included configuration. According to various embodiments of the present disclosure, the processor 120 may change the order of the structure of the music 1321 or delete the configuration included in the structure 1321 of the music through the third-stage user interface 1320. Addition of the configuration included in structure 1321 may be performed. The third stage user interface 1320 may include a next button 1329 for entering the fourth stage user interface 1330.

FIG. 13D corresponds to a fourth step of the project setting process and shows a fourth step user interface 1330. The fourth-stage user interface 1330 may include a tempo 1331 of music (e.g., allegro of 120 BPM), and a music meter 1335 (e.g., of music) in response to a defined parameter (e.g., music style). 4/4), and a button 1335 for setting the use of the metronome. The fourth stage user interface 1330 can include a knob 1333 to set the tempo 1331 and time signature 1335, and through an input to rotate or tap the knob 1333. , Tempo 1331 and time signature 1335 may be set. Referring to FIG. 13D, the fourth-stage user interface 1330 may include a tempo 1331, a beat 1335, a button 1335 and a knob 1333 for setting use of a metronome. It is not limited to this. According to various embodiments of the present disclosure, the processor 120 may set the tempo 1331 of the music and the time signature 1335 of the music or determine whether to use a metronome through the fourth-stage user interface 1330. . The fourth stage user interface 1330 may include a button 1339 (eg, a create button) for completing setting of the project.

14 is a diagram illustrating a user interface in which a project is set, according to various embodiments of the present disclosure.

Referring to FIG. 14, a user interface 1400 in which a project related to a style of music is set is illustrated. The user interface 1400 is divided into an action bar 1401, a timeline section 1403, a track section 1405, and a track setting section 1407. Can be.

According to various embodiments of the present disclosure, a processor (eg, the processor 120 of FIG. 1) of an electronic device (eg, the electronic device 100 of FIG. 1) may have a touch input corresponding to a musical instrument name included in the track section 1405. Example: A user interface for detecting a long touch input, a touch input exceeding a set time, and setting an instrument in response to the detected touch input (eg, the second stage user interface 1310 of FIG. 13B). )) Can be displayed. The processor 120 detects a touch input corresponding to a music structure part (eg, intro, verse 1) included in the timeline section 1403, and in response to the detected touch input, sets a structure of music. A user interface (eg, the third stage user interface 1320 of FIG. 13C) may be displayed. The processor 120 may detect a user's drag & drop gesture in response to the timeline section 1403, and in response to the gesture, expand or contract a portion of the music structure. The processor 120 senses a touch input to the project setting button 1409 included in the track setting section 1407, and in response to the detected touch input, the music style, the structure and composition of the music. A user interface (eg, the fourth stage user interface 1330 of FIG. 13D) for setting the difficulty may be displayed.

According to various embodiments of the present disclosure, the processor 120 may detect a user's touch input based on a region set corresponding to the set instrument name. For example, the processor 120 detects a touch input to the first region 1411 corresponding to the electric guitar, and sets a melody of the first region 1411 in response to the detected touch input. A user interface in the form of pianoroll or score can be displayed. Hereinafter, FIGS. 15A to 15D correspond to the illustrated embodiment based on the piano roll-type user interface, and FIGS. 16A to 16C correspond to the illustrated example based on the music score-type user interface.

15A to 15D are exemplary views illustrating a piano roll-type user interface for composing music based on an artificial intelligence algorithm according to various embodiments of the present disclosure.

Referring to FIG. 15A, the piano roll user interface 1501 may include a regions bar section 1503, a track section 1505, and an editor setting section 1507. have. The region bar section 1503 may include a region (eg, region 1) in which music is divided into predetermined units. The track section 1505 may include a piano keyboard, a grid corresponding to a stave of musical scores, and MIDI notes. The edit section 1507 may include a track number, a beat, a beat setting button, and an edit related button (eg, select, draw, or erase). The piano roll user interface 1501 may display a sound track 1510 input by the user, corresponding to region 1.

According to various embodiments of the present disclosure, a processor (eg, the processor 120 of FIG. 1) of the electronic device (eg, the electronic device 100 of FIG. 1) may be determined through the proof button 1502 included in the editing section 1507. You can see the melody. The melody may include a melody corresponding to a user, which is learned and implemented based on an artificial intelligence algorithm. The processor 120 may display guide information for composing music based on the identified melody.

Referring to FIG. 15B, the processor 120 may confirm the selection 1511 of proof 1 and display guide information corresponding to the selected proof 1 through the proof button 1502. For example, the processor 120 identifies a melody corresponding to proof 1 and based on the identified melody, at least one note not included among the notes input by the user (for example, region 1). The first note (1513) shown in the third section of the) can be seen. The processor 120 determines a second note 1515 to replace the first note 1513 in response to the identified melody based on an artificial intelligence algorithm, and uses the determined second note 1515 as a piano roll user. It may be displayed on the interface 1501. The processor 120 may display a guide bar 1517 on the piano roll user interface 1501 so that a user may easily identify a position of a sound to be corrected in response to the identified melody.

According to various embodiments of the present disclosure, the processor 120 displays guide information for correcting the first note 1513 to the second note 1515, and additionally an area (eg, region 2) 1519 in which a note is not input. Correspondingly, guide information about a note to be added may be displayed.

Referring to FIG. 15C, the processor 120 may correct a note in response to an acknowledgment 1521 of a user. According to various embodiments of the present disclosure, the correction of the note may be performed automatically or manually according to preset setting information, and is not limited to a specific operation.

Referring to FIG. 15D, the processor 120 may correct a note 1523 in response to a user's approval. The processor 120 may correct the notes displayed on the grid 1523, and may also modify the guide bar 1525 based on the corrected notes.

16A to 16C are diagrams illustrating a music score user interface for composing music based on an artificial intelligence algorithm according to various embodiments of the present disclosure.

Referring to FIG. 16A, the sheet music user interface 1601 may be a user interface implemented based on actual sheet music. According to various embodiments of the present disclosure, the processor (eg, the processor 120 of FIG. 1) of the electronic device (eg, the electronic device 100 of FIG. 1) determines that “proof 1” is selected through the proof button 1602. And, the melody corresponding to the selected "proof 1" can be confirmed. Based on the identified melody, the processor 120 may identify at least one note that is not appropriate among the notes input by the user (for example, the first note 1605 shown at the first node of the verse region). have. The processor 120 determines a second note 1607 to replace the first note 1605 in response to the identified melody based on an artificial intelligence algorithm, and uses the determined second note 1607 as a sheet music user interface. A display may be made on 1601. The first note 1605 and the second note 1607 may be displayed differently in color, brightness, and shade to facilitate differentiation. The processor 120 may display a guide bar 1609 on the score user interface 1601 so that a user can easily identify a position of a sound to be corrected in response to the identified melody. When there is a bar that is not input by the user (for example, the fourth bar of the verse region), the processor 120 may display guide information 1608 for the note to be added.

Referring to FIG. 16B, the processor 120 may correct a note in response to a user's approval. According to various embodiments, the correction of the note may be performed automatically (without user approval) or manually (in response to user's approval) according to preset setting information, and is not limited to a specific operation.

Referring to FIG. 16C, the processor 120 may correct 1611 a note in response to a user's approval. The processor 120 may correct 1611 a note displayed in the score user interface 1601 and may also modify the guide bar 1613 based on the corrected note.

In the music composition method according to various embodiments of the present invention, a defined parameter and an input sound track are identified, and composition information corresponding to the identified parameter and sound track is confirmed based on an artificial intelligence algorithm, Guide information for correcting the input sound track may be provided based on the confirmed composition information.

 According to various embodiments of the present disclosure, the defined parameter may include at least one of information about a style of music, information about a musical instrument, information about a rhythm, information about a beat, and information about a genre of music.

According to various embodiments of the present disclosure, the artificial intelligence algorithm learns information on a user's disposition based on a specified artificial neural network, and based on information on the learned user's disposition, determines whether to correct the input sound track. Can be used to determine.

According to various embodiments of the present disclosure, the information about the user's disposition may include at least one of a genre of music preferred by the user, a singer preferred by the user, an album preferred by the user, and a song preferred by the user. have.

According to various embodiments of the present disclosure, the sound track may include at least one note and may be divided into regions set based on the whole score.

Providing guide information according to various embodiments of the present disclosure may be performed based on the artificial intelligence algorithm to identify information about a style of music corresponding to the sound track, and based on the information about the style of the checked music. Guide information for correcting the track may be provided.

Providing guide information according to various embodiments of the present disclosure may be performed based on the artificial intelligence algorithm to identify information about a difficulty level of the composition corresponding to the sound track, and based on the information about the identified difficulty level of the song. Guide information for correcting the track may be provided.

According to various embodiments of the present disclosure, the guide information may be displayed through a user interface, and whether the sound track is approved for correction may be corrected, and if the correction is approved, the sound track may be corrected in response to the displayed guide information. have.

According to various embodiments of the present disclosure, the number of the tones to be corrected may be checked based on the provided guide information, and the sound track may be corrected corresponding to the identified number of the tones.

According to various embodiments, the setting information may be checked, and the sound track may be automatically corrected in response to the checked setting information, or the sound track may be manually corrected.

Electronic devices according to various embodiments of the present disclosure may be various types of devices. The electronic device may include, for example, a portable communication device (eg, a smartphone), a computer device, a portable multimedia device, a portable medical device, a camera, a wearable device, or a home appliance device. Electronic devices according to embodiments of the present disclosure are not limited to the above-described devices.

Various embodiments of the present document and terminology used herein are not intended to limit the technical features described in the present specification to specific embodiments, but should be understood to include various changes, equivalents, or substitutes for the embodiments. In connection with the description of the drawings, similar reference numerals may be used for similar or related components. The singular form of the noun corresponding to the item may include one or more of the items, unless the context clearly indicates otherwise. In this document, "A or B", "at least one of A and B", "at least one of A or B," "A, B or C," "at least one of A, B and C," and "A And phrases such as "at least one of B, or C" may include all possible combinations of items listed together in the corresponding one of the phrases. Terms such as "first", "second", or "first" or "second" may be used merely to distinguish a component from other corresponding components, and to separate the components from other aspects (e.g. Order). Some (eg first) component may be referred to as "coupled" or "connected" to another (eg second) component, with or without the term "functionally" or "communically". When mentioned, it means that any component can be connected directly to the other component (eg, by wire), wirelessly, or via a third component.

As used herein, the term "module" may include a unit implemented in hardware, software, or firmware, and may be used interchangeably with terms such as logic, logic block, component, or circuit. The module may be an integral part or a minimum unit or part of the component, which performs one or more functions. For example, according to one embodiment, the module may be implemented in the form of an application-specific integrated circuit (ASIC).

Various embodiments of this document may be stored in a storage medium (eg, internal memory (# 36) or external memory (# 38)) that can be read by a machine (eg, electronic device # 01). It may be implemented as software (eg program # 40) containing one or more instructions. For example, a processor (eg, processor # 20) of the device (eg, electronic device # 01) may call at least one of the one or more instructions stored from the storage medium and execute it. This enables the device to be operated to perform at least one function in accordance with the at least one command invoked. The one or more instructions may include code generated by a compiler or code executable by an interpreter. The device-readable storage medium may be provided in the form of a non-transitory storage medium. Here, 'non-transitory' means only that the storage medium is a tangible device and does not contain a signal (e.g., electromagnetic waves), which is the case when data is stored semi-permanently on the storage medium. It does not distinguish cases where it is temporarily stored.

According to one embodiment, a method according to various embodiments disclosed herein may be provided included in a computer program product. The computer program product may be traded between the seller and the buyer as a product. The 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 StoreTM) or two user devices ( Example: smartphones) can be distributed (eg downloaded or uploaded) directly or online. In the case of on-line distribution, at least a portion of the computer program product may be stored at least temporarily on a device-readable storage medium such as a server of a manufacturer, a server of an application store, or a relay server, or may be temporarily created.

According to various embodiments, each component (eg, module or program) of the above-described components may include a singular or plural entity. According to various embodiments, one or more of the aforementioned components or operations may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (eg, a module or a program) may be integrated into one component. In this case, the integrated component may perform one or more functions of the component of each of the plurality of components the same as or similar to that performed by the corresponding component of the plurality of components before the integration. . According to various embodiments, operations performed by a module, program, or other component may be executed sequentially, in parallel, repeatedly, or heuristically, or one or more of the operations may be executed in a different order, or omitted. Or one or more other actions may be added.

100: network environment 101, 102, 104: electronic device
106 server 120 processor
130: memory 140: program
150: input device 155: sound output device
160: display device 170: audio module
180: camera module 190: communication module

Claims (20)

In an electronic device,
display;
A processor electrically connected to the display; And
A memory electrically connected to the processor;
When the memory is executed, the processor,
Identify defined parameters and input sound tracks, identify composition information corresponding to the identified parameters and sound tracks based on an artificial intelligence algorithm, and correct the input sound tracks based on the confirmed composition information And an instruction for displaying guide information for displaying on the display.
The method of claim 1,
The defined parameter is
An electronic device comprising at least one of information about a style of music, information about a musical instrument, information about a rhythm, information about a beat, and information about a genre of music.
The method of claim 1,
The artificial intelligence algorithm,
The electronic device is used to learn information about the propensity of the user based on a specified artificial neural network, and determine whether to correct the input sound track based on the learned information about the propensity of the user.
The method of claim 3, wherein
Information about the user's disposition,
And at least one of a genre of music preferred by the user, a singer preferred by the user, an album preferred by the user, and a song preferred by the user.
The method of claim 1,
The sound track is,
An electronic device that includes at least one note and is divided into an area set based on the whole score.
The method of claim 1,
The memory, the processor,
An instruction to check information on a style of music corresponding to the sound track based on the artificial intelligence algorithm and to display guide information for correcting the sound track based on the information on the identified style of music Electronic device for storing the.
The method of claim 1,
The memory, the processor,
An instruction to check the information on the difficulty of the composition corresponding to the sound track based on the artificial intelligence algorithm, and display guide information for correcting the sound track based on the confirmed information on the difficulty of the composition Electronic device for storing the.
The method of claim 1,
The memory, the processor,
Displaying the guide information through a user interface, checking whether the sound track is approved for correction, and if the correction is approved, storing instructions for correcting the sound track in response to the displayed guide information. Electronic devices.
The method of claim 1,
The memory, the processor,
The electronic device stores an instruction to identify the number of the sound to be corrected based on the displayed guide information and to correct the sound track in response to the identified number of the sound.
The method of claim 1,
The memory, the processor,
And an instruction for checking setting information and automatically correcting the sound track or manually correcting the sound track in response to the confirmed setting information.
In the music composition method,
Identifying defined parameters and input sound tracks;
Identifying composition information corresponding to the identified parameter and sound track based on an artificial intelligence algorithm; And
Providing guide information for correcting the input sound track based on the identified composition information; Music composition method comprising a.
The method of claim 11,
The defined parameter is
A music composition method comprising at least one of information about a style of music, information about an instrument, information about a rhythm, information about a beat, and information about a genre of music.
The method of claim 11,
The artificial intelligence algorithm,
The music composition method is used to learn information about the propensity of the user based on a specified artificial neural network, and determine whether to correct the input sound track based on the learned information about the propensity of the user.
The method of claim 13,
Information about the user's disposition,
And at least one of a genre of music preferred by the user, a singer preferred by the user, an album preferred by the user, and a song preferred by the user.
The method of claim 11,
The sound track is,
A music composition method comprising at least one note and divided into regions set based on the whole score.
The method of claim 11,
Providing the guide information,
Checking information on a style of music corresponding to the sound track based on the artificial intelligence algorithm; And
And providing guide information for correcting the sound track based on the identified information about the style of music.
The method of claim 11,
Providing the guide information,
Confirming information on a difficulty level of a composition corresponding to the sound track, based on the artificial intelligence algorithm; And
And providing guide information for correcting the sound track based on the identified information about the difficulty of the composition.
The method of claim 11,
Displaying the guide information through a user interface;
Confirming whether to approve the correction of the sound track; And
Correcting the sound track in response to the displayed guide information when the correction is approved; Music composition method comprising more.
The method of claim 11,
Checking the number of notes to be corrected based on the provided guide information; And
Correcting the sound track in response to the identified number of sounds; Music composition method comprising more.
The method of claim 11,
Checking the setting information;
Automatically correcting the sound track in response to the confirmed setting information, or manually correcting the sound track; Music composition method comprising more.

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