An information processing method according to the present invention includes providing first musical piece information representing contents of a musical piece and performance information relating to a past performance prior to one unit period within the musical piece to a learner that has undergone learning relating to a specific tendency that relates to a performance, and generating, for the one unit period, performance information that is based on the specific tendency with the learner.

An electronic musical instrument includes: a memory that stores a trained acoustic model obtained by performing machine learning on training musical score data and training singing voice data of a singer; and at least one processor, wherein the at least one processor: in accordance with a user operation on an operation element in a plurality of operation elements, inputs prescribed lyric data and pitch data corresponding to the user operation of the operation element to the trained acoustic model so as to cause the trained acoustic model to output the acoustic feature data in response to the inputted prescribed lyric data and the inputted pitch data, and digitally synthesizes and outputs inferred singing voice data that infers a singing voice of the singer on the basis of the acoustic feature data output by the trained acoustic model.

An electronic musical instrument includes: a memory that stores a trained acoustic model obtained by performing machine learning on training musical score data and training singing voice data of a singer; and at least one processor, wherein the at least one processor: in accordance with a user operation on an operation element in a plurality of operation elements, inputs prescribed lyric data and pitch data corresponding to the user operation of the operation element to the trained acoustic model, and digitally synthesizes and outputs inferred singing voice data that infers a singing voice of the singer on the basis of at least a portion of acoustic feature data output by the trained acoustic model, and on the basis of instrument sound waveform data that are synthesized in accordance with the pitch data corresponding to the user operation of the operation element.

An information processing method includes generating performance data that represent a performance of a musical piece that reflects a change caused by a factor that alters the performance of the musical piece, by inputting musical score data, which represent a musical score of the musical piece, and variability data, which represent the factor, into a trained model.

A sound control device includes: a reception unit that receives a start instruction indicating a start of output of a sound; a reading unit that reads a control parameter that determines an output mode of the sound, in response to the start instruction being received; and a control unit that causes the sound to be output in a mode according to the read control parameter.

Systems, devices, and methods for encoding the harmonic structure of a musical composition in a digital data structure are described. Tonal and rhythmic commonalities are identified across the musical bars that make up a musical composition. Individual bars of the musical composition are each analyzed to characterize their respective harmonic fingerprints in various forms, and the respective harmonic fingerprints are compared to sort the musical bars into harmonic equivalence categories. Isomorphic mappings between hierarchical data structures that encode the musical composition based on musicality and harmony, respectively, are also described. The systems, devices, and methods for encoding the harmonic structure of a musical composition in a digital data structure have broad applicability in computer-based composition and variation of music.

A singing voice conversion system configured to generate a song in the voice of a target singer based on a song in the voice of a source singer is disclosed. The embodiment utilizes two complementary approaches to voice timbre conversion. Both combine the natural prosody of a source singer with the pitch of the target singertypically the user of the systemto achieve realistic sounding synthetic singing. The system is able to transpose the key of any song to match the automatically determined or desired pitch range of the target singer, thus allowing the system to generalize to any target singer, irrespective of their gender, natural pitch range, and the original pitch range of the song to be sung.

Provided are an electronic musical instrument, a processing execution method, and a processing execution program capable of quickly performing registration to a key group based on key depression from key depression, and special processing based on keys registered to the key group. In a case where the depressed position of a key 2a is between a determination start position D3 and a determination end position D4, the key 2a is registered to a key group. Registration of the key 2a to the key group can be quickly determined by only confirming the depressed position of the key 2a. In a case where a key 2a registered to the key group reaches a sound generation start position Ds, and the registration number in the key group at that point is two or more, a musical note with a special tone based on that key 2a is generated. Therefore, the time lag from the registration of the key 2a to the key group to the start of sound generation based on the key 2a registered to the key group is minimized, making it possible to quickly register a key 2a to the key group based on key depression from key depression, and generate a musical note based on the key 2a registered to the key group.