Disclosed is a computer-implemented method and system for generating musical notations. The method comprises receiving, via a first input module of a user interface, a musical note, receiving, via a second input module of the user interface, one or more parameters to be associated with the musical note, wherein the one or more parameters comprise at least one of an arrangement context providing information about an event for the musical note, a pitch context providing information about a pitch for the musical note, and an expression context providing information about one or more articulations for the musical note, and generating a notation output based on the entered musical note and the added one or more parameters associated therewith.

Disclosed is a computer-implemented method and system for generating musical notations. The method comprises receiving, via a first input module of a user interface, a musical note, receiving, via a second input module of the user interface, one or more parameters to be associated with the musical note, wherein the one or more parameters comprise at least one of an arrangement context providing information about an event for the musical note, a pitch context providing information about a pitch for the musical note, and an expression context providing information about one or more articulations for the musical note, and generating a notation output based on the entered musical note and the added one or more parameters associated therewith.

The following abstract will replace all prior versions of the abstract in the A music piece analyzer includes: a key candidate determiner configured to analyze music data to determine a plurality of key candidates; and a key selector configured to extract each one of the plurality of key candidates, detect keys corresponding to related keys from among remaining ones of the plurality of key candidates supposing that the extracted one of the plurality of key candidates is a main key, on each extracted one of the plurality of key candidates, calculate a related key score in accordance with the number of the keys corresponding to the related keys, and select a key of a music piece in accordance with the related key score from among the plurality of key candidates.

An information processing system acquires a detection signal corresponding to each manipulated operator, among the plurality of operators, that has been manipulated by a user and identifies a manipulation amount or intensity of each of the plurality of operators based on the acquired detection signal. The system further identifies a chord that corresponds, from among the plurality of operators, to a combination of detected two or more manipulated operators. The identifying of the chord includes determining a root note pitch included in the chord based on the manipulation amount or intensity of each of the detected two or more manipulated operators.

A musical analysis device comprises an electronic controller including at least one processor. The electronic controller is configured to execute a plurality of modules including a detection module configured to detect, using a detection model through a model training process with machine learning, bar lines based on audio information indicating a musical piece, and a correction module configured to correct positions of the bar lines detected by the detection module based on a reference meter identified from the musical piece.

Disclosed are a spiral curve type music sheet in which different notes are displayed at different positions on a spiral curve based on the pitches of notes, and an apparatus and method for providing a spiral curve type music sheet. The apparatus for providing a spiral curve type music sheet may include a memory configured to store a spiral curve type music sheet in which different notes are displayed at different positions on a spiral curve based on the pitch of the note and note data, and a processor configured to determine the note symbol position related to the note data on the spiral curve in the spiral curve type music sheet based on the frequency of the note data.

Disclosed are a spiral curve type music sheet in which different notes are displayed at different positions on a spiral curve based on the pitches of notes, and an apparatus and method for providing a spiral curve type music sheet. The apparatus for providing a spiral curve type music sheet may include a memory configured to store a spiral curve type music sheet in which different notes are displayed at different positions on a spiral curve based on the pitch of the note and note data, and a processor configured to determine the note symbol position related to the note data on the spiral curve in the spiral curve type music sheet based on the frequency of the note data.

A chord information extraction device includes an acquirer, a score type determiner, an extraction region determiner and a chord information extractor. The acquirer acquires score image data representing a reference score. The score type determiner determines a score type of the reference score from among a plurality of predetermined score types based on the acquired score image data. The extraction region determiner determines a chord extraction region in the reference score based on extraction region information that defines a relationship between a plurality of score types and a chord extraction region from which chord information is to be extracted. The chord information extractor extracts the chord information from the acquired score image data based on the determined chord extraction region.

A chord information extraction device includes an acquirer, a score type determiner, an extraction region determiner and a chord information extractor. The acquirer acquires score image data representing a reference score. The score type determiner determines a score type of the reference score from among a plurality of predetermined score types based on the acquired score image data. The extraction region determiner determines a chord extraction region in the reference score based on extraction region information that defines a relationship between a plurality of score types and a chord extraction region from which chord information is to be extracted. The chord information extractor extracts the chord information from the acquired score image data based on the determined chord extraction region.

Methods and systems of music notation for visually representing music that provide a visual scale representing a range of an auditory scale of a portion of a musical composition spanning at least four and a half steps. The visual scale may comprise a plurality of whole-step segments each representing one whole step in the auditory scale. Each whole-step segment may be approximately a first height. The visual scale may also comprise one or more half-step segments each representing one half step in the auditory scale. Each half-step segment may be approximately a second height. A first ratio representing the first height divided by the second height may be significantly greater than a second ratio representing the whole step divided by the half step.