In a server 70, usage counts of tone data of an electronic musical instrument 30, such as load counts of times that the tone data are loaded in the electronic musical instrument 30 are stored for each tone data and each user H utilizing the electronic musical instrument 30. When a recommendation information request is received from a portable terminal 50, the server 70 obtains a similar user similar to a request user included in the recommendation information request from the stored usage counts. Tone data to be recorded in the recommendation information are obtained from the usage count of each tone data of the request and the usage count of each tone data of the similar user, and the recommendation information is generated from the obtained tone data. Accordingly, the recommendation information generated by the user 70 can conform to the preference of the request user.

A method for learning music scale theory includes utilizing a music theory-based card game. A plurality of cards forms a deck, each card representing a predetermined music note according to a 7-note system. One or more players are dealt cards to make a hand. Players draw cards from a draw deck or a discard pile, and discard cards to the discard pile, until a player creates a sequence of cards in the player's hand that corresponds to a complete musical scale or mode.

A method for learning music scale theory includes utilizing a music theory-based card game. A plurality of cards forms a deck, each card representing a predetermined music note according to a 7-note system. One or more players are dealt cards to make a hand. Players draw cards from a draw deck or a discard pile, and discard cards to the discard pile, until a player creates a sequence of cards in the player's hand that corresponds to a complete musical scale or mode.

Provided are a display device and a program which allow a user to intuitively recognize a connection and a breathing timing between respective notes. A CPU (11) generates a guide image, based on information about a sound-producing timing and a sound length of each note, which are included in a guide melody track. The CPU (11) smoothly connects respective notes. Thereafter, the CPU (11) disconnects the notes at the breathing timing indicated in a breath position track.

A musical piece structure analysis method includes acquiring an acoustic signal of a musical piece, extracting a first feature amount indicating changes in tone from the acoustic signal of the musical piece, extracting a second feature amount indicating changes in chords from the acoustic signal of the musical piece, outputting a first boundary likelihood indicating likelihood of a constituent boundary of the musical piece from the first feature amount using a first learning model, outputting a second boundary likelihood indicating likelihood of the constituent boundary of the musical piece from the second feature amount using a second learning model, identifying the constituent boundary of the musical piece by performing weighted synthesis of the first boundary likelihood and the second boundary likelihood, and dividing the acoustic signal of the musical piece into a plurality of sections at the constituent boundary that has been identified.

Scalable similarity-based generation of compatible music mixes. Music clips are projected in a pitch interval space for computing musical compatibility between the clips as distances or similarities in the pitch interval space. The distance or similarity between clips reflects the degree to which clips are harmonically compatible. The distance or similarity in the pitch interval space between a candidate music clip and a partial mix can be used to determine if the candidate music clip is harmonically compatible with the partial mix. An indexable feature space may be both beats-per-minute (BPM)-agnostic and musical key-agnostic such that harmonic compatibility can be quickly determined among potentially millions of music clips. A graphical user interface-based user application allows users to easily discover combinations of clips from a library that result in a perceptually high-quality mix that is highly consonant and pleasant-sounding and reflects the principles of musical harmony.

Scalable similarity-based generation of compatible music mixes. Music clips are projected in a pitch interval space for computing musical compatibility between the clips as distances or similarities in the pitch interval space. The distance or similarity between clips reflects the degree to which clips are harmonically compatible. The distance or similarity in the pitch interval space between a candidate music clip and a partial mix can be used to determine if the candidate music clip is harmonically compatible with the partial mix. An indexable feature space may be both beats-per-minute (BPM)-agnostic and musical key-agnostic such that harmonic compatibility can be quickly determined among potentially millions of music clips. A graphical user interface-based user application allows users to easily discover combinations of clips from a library that result in a perceptually high-quality mix that is highly consonant and pleasant-sounding and reflects the principles of musical harmony.

A method is provided of aligning pitch data with audio data in a computing device, the method comprising the computer implemented steps of compiling a plurality of pitch data related to an audio file, each pitch data including information about at least one distinct pitch which is capable of being used by an electronic device to emulate said pitch, said plurality of pitch data compiled in a chronological order relating to said audio file, and arranging the compiled pitch data with the corresponding audio file containing audio data having at least one chord change, wherein the pitch data is offset from the audio data by a predetermined time margin. Further, an audio file is provided, stored on a non-transitory computer readable medium, having pitch data corresponding to and offset from chord changes in audio data by a predetermined time margin advance, and a non-transitory computer readable medium is provided, having stored thereon a set of computer executable instructions.

A method is provided of aligning pitch data with audio data in a computing device, the method comprising the computer implemented steps of compiling a plurality of pitch data related to an audio file, each pitch data including information about at least one distinct pitch which is capable of being used by an electronic device to emulate said pitch, said plurality of pitch data compiled in a chronological order relating to said audio file, and arranging the compiled pitch data with the corresponding audio file containing audio data having at least one chord change, wherein the pitch data is offset from the audio data by a predetermined time margin. Further, an audio file is provided, stored on a non-transitory computer readable medium, having pitch data corresponding to and offset from chord changes in audio data by a predetermined time margin advance, and a non-transitory computer readable medium is provided, having stored thereon a set of computer executable instructions.

The present invention relates to a musical instrument for producing a harmonious scale of musical notes. The instrument includes nine separate sound actuators each of which is configured to cause the musical instrument to generate a different frequency selected from the group of frequencies comprising 174 Hz, 285 Hz, 396 Hz, 417 Hz, 528 Hz, 639 Hz, 741 Hz, 852 Hz and 963 Hz, the musical instrument being configured such that physically manipulating the sound actuators causes the musical instrument to generate the frequency corresponding to the sound actuator manipulated. The invention is also directed at a system for—writing music to be played with a musical instrument incorporating the harmonious scale of musical notes as described above. The notation system includes a staff of five parallel and horizontal lines separated by four spaces, the first line indicating a first note of 174 Hz, the space immediately above the first line indicating a second note of 285 Hz, the second line indicating a third note of 396 Hz, the space immediately above the second line indicating a fourth note of 417 Hz, the third line indicating a fifth note of 528 Hz, the space immediately above the third line indicating a sixth note of 639 Hz, the fourth line indicating a seventh note of 741 Hz, the space immediately above the fourth line indicating an eighth of 852 Hz and the fifth line, indicating a ninth note of 963 Hz.