Aspects of embodiments pertain to a method for determining an Input/Output (I/O) device configuration for a music teaching system. The method may comprise receiving a plurality of I/O device configurations of a music teaching system; receiving, for a given I/O device of the music teaching system, an initial I/O device configuration; and determining an updated I/O device configuration for the given I/O Device, based on the initial I/O device configuration of the given I/O Device and at least one of the plurality of received I/O device configurations. The determining is performed such that the updated I/O device configuration has improved device performance compared to the initial I/O device configuration.

Embodiments of systems and methods pertain to providing a session of music learning to a user, comprising: setting a sound capturing configuration relating to at least one microphone of a computerized device; providing the user with musical notations to be executed through the user for generating user-generated sound; capturing, through the at least one microphone, sound which includes user-generated sound produced by the user to produce user-generated sound data; processing the user-generated sound data; and determining, based on the processing of the user-generated sound data, whether a sound capturing configuration is to be adapted or not.

Embodiments of systems and methods pertain to providing a session of music learning to a user, comprising: setting a sound capturing configuration relating to at least one microphone of a computerized device; providing the user with musical notations to be executed through the user for generating user-generated sound; capturing, through the at least one microphone, sound which includes user-generated sound produced by the user to produce user-generated sound data; processing the user-generated sound data; and determining, based on the processing of the user-generated sound data, whether a sound capturing configuration is to be adapted or not.

A method and system for automatically transcribing an audio source, e.g. a WAV file or live feeds, into a computer-readable code, e.g., enhanced MIDI, are provided, specifically and limited to solving a central problem that has not been solved elsewhere: it takes a large sampling window, say from a fifth of a second to a full second for typical music, to extract many music perceptual parameters of interest, yet that transcription also needs to maintain synchronization with the source music, with the time resolution of that synchronization about a sixteenth of a second.

A method and system for automatically transcribing an audio source, e.g. a WAV file or live feeds, into a computer-readable code, e.g., enhanced MIDI, are provided, specifically and limited to solving a central problem that has not been solved elsewhere: it takes a large sampling window, say from a fifth of a second to a full second for typical music, to extract many music perceptual parameters of interest, yet that transcription also needs to maintain synchronization with the source music, with the time resolution of that synchronization about a sixteenth of a second.

A system and method to generate and implement digital tuning files based on p-smooth number sequences for use with a digital musical instrument is provided. A p-smooth number sequence is generated and a subset of p-smooth numbers from the sequence is chosen as a musical octave of musical note frequencies. Each note within the octave is designated as a tonic, and each tonic is used to generate additional musical octaves and corresponding musical note notations. The musical octaves and corresponding musical note notations are stored into the digital memory of the digital musical instrument, and the instrument's native musical note mappings are remapped to the musical octaves and corresponding musical note notations from the digital file.

A system and method to generate and implement digital tuning files based on p-smooth number sequences for use with a digital musical instrument is provided. A p-smooth number sequence is generated and a subset of p-smooth numbers from the sequence is chosen as a musical octave of musical note frequencies. Each note within the octave is designated as a tonic, and each tonic is used to generate additional musical octaves and corresponding musical note notations. The musical octaves and corresponding musical note notations are stored into the digital memory of the digital musical instrument, and the instrument's native musical note mappings are remapped to the musical octaves and corresponding musical note notations from the digital file.

Disclosed are systems and methods for decoding chord information from brain activity. General chord decoding protocols involves using computational operations for the extraction of neural codes, the development of the decoding model, and the deployment of the trained model.

Disclosed are systems and methods for decoding chord information from brain activity. General chord decoding protocols involves using computational operations for the extraction of neural codes, the development of the decoding model, and the deployment of the trained model.

A system for fractionally representing time signature for use with digital device includes a user interface that enables a user to enter a first number to represent the number of beats per bar; and to enter a second number to represent the number of divisions per beat. The system uses a processing device to run a set of transcription rules to the first and second numbers in response to user selected inputs. A graphical output is used to display a visual representation of the desired fractional output is displayed. The system also includes a method for fractionally representing time signatures with the steps of entering, via an electronic processing device, a first and a second number where the first number represents the number of beats per bar and the second number represents the number of divisions per beat and displays the result on an electronic display.