SYSTEM AND METHOD FOR GENERATING AND/OR ADAPTING MUSICAL NOTATIONS

1 . A method for providing a user with musical notations for playing a musical instrument, the method comprising:

receiving source musical notation data descriptive of source musical notation information that can be played with a musical instrument and/or sung by one or more users;

analyzing the received source musical notation data for generating a source notation analysis output;

receiving at least one target requirement defining target musical notation information; and

providing, based on the source notation analysis output and the at least one target requirement, target musical notation data descriptive of target musical notation information.

2 . The method of claim 1 , wherein the providing of target musical notation data includes adapting the source musical notation data to arrive at the target musical notation data.

3 . The method of claim 1 , wherein the providing of target musical notation data includes selecting, based on the source notation analysis output and the at least one target requirement, a set of target musical notation data from a plurality of sets of available target musical notation data.

4 . The method of claim 1 , wherein the source notation analysis output relates to one of the following:

identifying one or more instruments that can be engaged for playing the source musical notation information;

a source difficulty level of the source musical notation;

a source style relating to the source musical notation information;

or any combination of the aforesaid.

5 . The method of claim 1 , wherein the at least one target requirement of the target musical notation information relates to one of the following:

at least one target difficulty level;

at least one target style;

at least one target musical instrument for playing the target musical notation information;

at least one physiological characteristic of at least one target user playing an instrument according to the target musical information;

at least one social characteristic of the at least one target user; or any combination of the aforesaid.

6 . The method of claim 5 , wherein the at least one target requirement is used to define one or more of the following musical notation characteristics:

scale; beats per minute; time signature; clefs; tempo; note structure such as note length, rest lengths;

rhythmic style; and playing setting.

7 . The method of claim 5 , wherein the target difficulty level is characterizable by one of the following musical notation characteristics:

scale; beats per minute; time signature; clefs; tempo; note structure such as note length, rest lengths;

rhythmic style; playing setting, or any combination of the aforesaid.

8 . The method of claim 1 , wherein the adapting of the source musical notation data is performed by employing a Machine Learning (ML) Model.

9 . The method of claim 1 , comprising displaying information relating to the target musical information data.

10 . The method of claim 1 , wherein the target musical notation information is a simplified or more complex version of the source musical notation information.

11 . A system for providing a user with musical notations for playing a musical instrument, the system comprising:

at least one processor configured to execute computer code instructions stored in the at least one memory for performing:

receiving source musical notation data descriptive of source musical notation information that can be played with a musical instrument and/or sung by one or more users;

analyzing the received source musical notation data for generating a source notation analysis output;

receiving at least one target requirement defining target musical notation information;

automatically providing, based on the source notation analysis output and the at least one target requirement, target musical notation data descriptive of target musical notation information.

12 . The system of claim 11 , wherein the providing of target musical notation data includes adapting the source musical notation data to arrive at the target musical notation data.

13 . The system of claim 11 , wherein the providing of target musical notation data includes selecting, based on the source notation analysis output and the at least one target requirement, a set of target musical notation data from a plurality of sets of available target musical notation data.

14 . The system of claim 11 , wherein the source notation analysis output relates to one of the following:

identifying one or more instruments that can be engaged for playing the source musical notation information;

a source difficulty level of the source musical notation;

a source style relating to the source musical notation information; or any combination of the aforesaid.

15 . The system of claim 11 , wherein the at least one target requirement of the target musical notation information relates to one of the following:

at least one target difficulty level;

at least one target style;

at least one target musical instrument for playing the target musical notation information;

at least one physiological characteristic of at least one target user playing an instrument according to the target musical information;

at least one social characteristic of the at least one target user; or any combination of the aforesaid.

16 . The system of claim 15 , wherein the at least one target requirement is used to define one of the following musical notation characteristics:

scale; beats per minute; time signature; clefs; tempo; note structure such as note length, rest lengths;

rhythmic style; and playing setting, or any combination of the aforesaid.

17 . The system of claim 15 , wherein the target difficulty level is characterizable by one of the following musical notation characteristics:

scale; beats per minute; time signature; clefs; tempo; note structure such as note length, rest lengths;

rhythmic style; playing setting, or any combination of the aforesaid.

18 . The system of claim 11 , wherein the adapting of the source musical notation data is performed by employing a Machine Learning (ML) Model.

19 . The system of claim 11 , configured to display information relating to the target musical information data.

20 . The system of claim 11 , wherein the target musical notation information is a simplified or more complex version of the source musical notation information.