The disclosure provides an automatic performance apparatus, an automatic performance method, and a non-transitory computer readable medium. Notes to be sounded are stored in chronological order for each beat position which is a sound generation timing in a performance pattern. A probability of generating sound at the beat position is stored for each beat position in a sound generation probability pattern. According to the probability stored in the sound generation probability pattern, it is determined whether to generate sound or not for each beat position of the performance pattern.

Provided is an automatic music playing control device that provides an instruction of playing music, the control device implementing natural music playing capable of expressing the timing and voicing in live music playing of a musical instrument by a player. The automatic music playing control device includes at least one processor, and the at least one processor selects a voicing pattern corresponding to a combination of the probabilistically-selected number of sounds to be emitted and a decided voicing type corresponding to a range from among a plurality of voicing patterns based on a scale decided according to the tune and chords of a music piece and instructs a sound source to emit a chord voiced based on the selected voicing pattern.

Provided is an automatic music playing control device that automatically plays chords to achieve a good music playing. The automatic music playing control device has at least one processor, wherein the at least one processor probabilistically selects any one of a plurality of timing types that defines the number of sound emissions, probabilistically selects any one of a plurality of note timing tables that defines sound emission timings, corresponding to the selected timing type, and instructs a sound source to emit a chord at a sound emission timing based on the selected note timing table.

Music data memory includes pieces of music within a group and other pieces of music outside the group. The next piece to be played is automatically determined by random table among pieces within the group. Favorite or newest piece is weighted to be more frequently played in the group. Piece in music data memory is automatically included into the group by random table. Newly downloaded piece into music data memory is included into the group by priority. Most frequently played piece is excluded from the group in place of newly included piece. Favorite or newest piece may be an exception of exclusion. Next piece is capable of being played in tempo similar to that of preceding piece by means of tempo-adjusted or piece replacement or repetition of the same piece for the purpose of continued baby cradling in synchronism with the same tempo of succeeding pieces.

Disclosed is a random music or rhythm generator comprised of software and hardware that serves to augment the creativity of human musicians when creating musical compositions. The generator considers anatomical restrictions when creating music in order to generate humanly playable musical compositions. The generator also features extra components and features which allow musicians to configure, customize, randomize, and share their musical compositions.

Disclosed is a random music or rhythm generator comprised of software and hardware that serves to augment the creativity of human musicians when creating musical compositions. The generator considers anatomical restrictions when creating music in order to generate humanly playable musical compositions. The generator also features extra components and features which allow musicians to configure, customize, randomize, and share their musical compositions.

The present disclosure relates to methods and devices for generating drum patterns. In one embodiment a method includes receiving a user generated input including a plurality of events during a time interval, and detecting the events. The method also includes analyzing the events to define a rhythmic pattern based on number of events detected, placement of each event in the time interval, and duration of the time interval. Each of the plurality of events may be classified into at least one type of drum pattern element and a drum pattern may be generated based on the rhythmic pattern to include a drum element for each event of the rhythmic pattern. In certain embodiments, pitch or tone of the events may be determined to classify events as components of a drum pattern. Processes and devices allow for professional sounding drum patterns to be output based on received input.

Music data memory includes pieces of music within a group and other pieces of music outside the group. The next piece to be played is automatically determined by random table among pieces within the group. Favorite or newest piece is weighted to be more frequently played in the group. Piece in music data memory is automatically included into the group by random table. Newly downloaded piece into music data memory is included into the group by priority. Most frequently played piece is excluded from the group in place of newly included piece. Favorite or newest piece may be an exception of exclusion. Next piece is capable of being played in tempo similar to that of preceding piece by means of tempo-adjusted or piece replacement or repetition of the same piece for the purpose of continued baby cradling in synchronism with the same tempo of succeeding pieces.

The present disclosure relates to methods and devices for generating drum patterns. In one embodiment a method includes receiving a user generated input including a plurality of events during a time interval, and detecting the events. The method also includes analyzing the events to define a rhythmic pattern based on number of events detected, placement of each event in the time interval, and duration of the time interval. Each of the plurality of events may be classified into at least one type of drum pattern element and a drum pattern may be generated based on the rhythmic pattern to include a drum element for each event of the rhythmic pattern. In certain embodiments, pitch or tone of the events may be determined to classify events as components of a drum pattern. Processes and devices allow for professional sounding drum patterns to be output based on received input.

Music data memory includes pieces of music within a group and other pieces of music outside the group. The next piece to be played is automatically determined by random table among pieces within the group. Favorite or newest piece is weighted to be more frequently played in the group. Piece in music data memory is automatically included into the group by random table. Newly downloaded piece into music data memory is included into the group by priority. Most frequently played piece is excluded from the group in place of newly included piece. Favorite or newest piece may be an exception of exclusion. Next piece is capable of being played in tempo similar to that of preceding piece by means of tempo-adjusted or piece replacement or repetition of the same piece for the purpose of continued baby cradling in synchronism with the same tempo of succeeding pieces.