An electronic instrument includes a plurality of music-playing operators which designates pitch data in accordance with a music-playing operation and at least one processor which instructs a sound source which generates music sounds to emit sounds, in which the at least one processor, in a case where the music-playing operation meets a first instruction condition, instructs the sound source to emit the sound in a first sound emission form which corresponds to pitch data which meets the first instruction condition which is designated in accordance with the music-playing operation, and in a case where the music-playing operation meets a second instruction condition which is different from the first instruction condition, instructs the sound source to emit a sound which is different from the sound which is emitted in the first sound-emission form, that is, in a second sound-emission form which corresponds to pitch data which meets the second instruction condition which is designated in accordance with the music-playing operation.

The present disclosure provides a method for chorus mixing, an apparatus, an electronic device and storage media. The method includes converting a main vocal audio signal and a chorus audio signal into signals in frequency domain, respectively, wherein the chorus audio signal comprises main vocal audio played by a speaker; determining a delay between the main vocal audio signal and the chorus audio signal based on a frequency-domain signal of the main vocal audio signal and a frequency-domain signal of the main vocal audio played by the speaker included in a frequency-domain signal of the chorus audio signal; aligning the chorus audio signal with the main vocal audio signal based on the determined delay; performing an echo cancellation on the aligned chorus audio signal; and mixing audio of the main vocal audio signal and the echo-canceled chorus audio signal.

This disclosure is directed to systems, methods, apparatuses, and techniques that utilize enhanced gesture-based input mechanisms to facilitate rapid creation and editing of digital music compositions. These technologies can be specially designed and configured to optimize creation, editing, and/or sharing of digital music compositions on mobile electronic devices that include capacitive sensing mechanisms. The technologies include multi-gesture functionalities that enable users to view and access various notation customization features in a compact space of a mobile device display. Additionally, the technologies encompass improved data storage models that enable underlying notation data to be accessed in multiple operational modes, and permit frequencies or pitches of notations to be accurately generated and incorporated into audio signals.

This disclosure is directed to systems, methods, apparatuses, and techniques that utilize enhanced gesture-based input mechanisms to facilitate rapid creation and editing of digital music compositions. These technologies can be specially designed and configured to optimize creation, editing, and/or sharing of digital music compositions on mobile electronic devices that include capacitive sensing mechanisms. The technologies include multi-gesture functionalities that enable users to view and access various notation customization features in a compact space of a mobile device display. Additionally, the technologies encompass improved data storage models that enable underlying notation data to be accessed in multiple operational modes, and permit frequencies or pitches of notations to be accurately generated and incorporated into audio signals.

A method for analyzing one or more notes in a musical composition, comprising for each note: getting a note, a chord and a scale. computing note properties using the note's value and the chord and the scale. A method for transforming one or more input notes into one or more new notes, comprising for each input note: getting an input note and its note properties, getting a new chord and a new scale for the input note, getting a list of notes candidates, computing distances between the input note and every note in the list, using input note's value, input note's note properties, candidate note's value and candidate note's note properties, finding the candidate that has the minimal distance, and setting a new note value using a note value of the candidate with the minimal distance.

An information processing apparatus according to the present disclosure includes: an acquisition unit that acquires music information; an extraction unit that extracts a plurality of types of feature amounts from the music information acquired by the acquisition unit; and a generation unit that generates information in which the plurality of types of feature amounts extracted by the extraction unit is associated with predetermined identification information as music feature information to be used as learning data in composition processing using machine learning.

An arrangement generation method executed by a computer includes acquiring target musical piece data that include performance information that indicates a melody and a chord of at least a part of a musical piece and include meta information that indicates characteristics of at least the part of the musical piece, generating, from the acquired target musical piece data, by using a generative model trained by machine learning, arrangement data obtained by arranging the performance information in accordance with the meta information, and outputting the generated arrangement data.

A driving sound library provides driving sounds classified in various themes to a user by analyzing frequency characteristics and temporal characteristics of sound sources classified into categories and determining a chord corresponding to each sound source based on the frequency characteristics and the time characteristics. Modulated sound sources in which each sound source is modulated are generated by applying a chord corresponding to each sound source. The driving sound sources are generated using the sound sources and the modulated sound sources as input data. Pitches of the driving sound sources are then changed based on the driving sound sources and engine sound orders corresponding to an engine RPM of a preset range. Scores for each theme for the driving sounds are generated.

[Problem] To provide an arpeggiator capable of creating a rich arpeggio performance that includes multiple pieces of performance information, and a program equipped with a function therefor. [Solution] When the key press mode for a sounding part is a chord, a synthesizer 1 acquires all note numbers from a remain table for the sounding part in a setting table 11e and stores all the note numbers in an Arp note memory 12b. This allows all the notes corresponding to the note numbers set in the remain table to be concurrently generated at the sounding time set in an Arp pattern. That is, an expressive arpeggio based on a chord made up of all the notes corresponding to the note numbers set in the remain table can be produced.

[Problem] To provide an arpeggiator capable of creating a rich arpeggio performance that includes multiple pieces of performance information, and a program equipped with a function therefor. [Solution] When the key press mode for a sounding part is a chord, a synthesizer 1 acquires all note numbers from a remain table for the sounding part in a setting table 11e and stores all the note numbers in an Arp note memory 12b. This allows all the notes corresponding to the note numbers set in the remain table to be concurrently generated at the sounding time set in an Arp pattern. That is, an expressive arpeggio based on a chord made up of all the notes corresponding to the note numbers set in the remain table can be produced.