audio In Music Information Retrieval: analysis of music recordings
background corpus A collection of musical pieces on which training of computational model (e.g., models for expectancy) takes place.
binary A variable with two outcomes, e.g., true vs. false, or occurrence vs. non-occurrence.
classification The procedure of sorting items into categories, e.g. to assign melodies to tune families.
clustering The procedure of grouping items which are similar, e.g. to group melodies without prior categories such as tune families.
dependent variable In a statistical model, observations that are predicted by the model.
diachronic A diachronic analysis investigates change of cultural items over time.
features In machine learning, another word for variables of models.
independent variable In a statistical model, the property that is used to predict observations.
inter-onset interval The space between two note onsets.
Music Information Retrieval A research field which strives to obtain information from music recordings or scores through computational analysis.
node A connected element in a network model.
neural network A network model which is inspired by connections of neurons in the human brain, consisting of layers of nodes.
onset The start of a note, measured from the start of the piece.
pitch chroma Pitch chroma describes the different categories of pitches within an octave.
recursion A structure which is described in terms of repetitions of itself. See also recursion.
regression A statistical model which infers whether the development of a given property (independent variable) is statistically related to a given observation (dependent variable).
symbolic In Music Information Retrieval: analysis of music notation
synchronic A synchronic analysis investigates change of cultural items from the same time.
viewpoint A musical aspect being studied, such as the pitch or duration of a note.