Ear training or aural skills is a music theory study in which musicians learn to identify pitches, intervals, melody, chords, rhythms, solfeges, and other basic elements of music, solely by hearing. The application of this skill is analogous to taking dictation in written/spoken language. As a process, ear training is in essence the inverse of sight-reading, the latter being analogous to reading a written text aloud without prior opportunity to review the material. Ear training is typically a component of formal musical training and is a fundamental, essential skill required in music schools. Functional pitch recognition involves identifying the function or role of a single pitch in the context of an established tonic. Once a tonic has been established, each subsequent pitch may be classified without direct reference to accompanying pitches. For example, once the tonic G has been established, listeners may recognize that the pitch D plays the role of the dominant in the key of G. No reference to any other pitch is required to establish this fact. Many musicians use functional pitch recognition in order to identify, understand, and appreciate the roles and meanings of pitches within a key. To this end, scale-degree numbers or movable-do solmization (do, re, mi, etc.) can be quite helpful. Using such systems, pitches with identical functions (the key note or tonic, for example) are associated with identical labels (1 or do, for example). Functional pitch recognition is not the same as fixed-do solfège, e.g. do, re, mi, etc. Functional pitch recognition emphasizes the role of a pitch with respect to the tonic, while fixed-do solfège symbols are labels for absolute pitch values (do=C, re=D, etc., in any key). In the fixed-do system (used in the conservatories of the Romance language nations, e.g. Paris, Madrid, Rome, as well as the Juilliard School and the Curtis Institute in the USA), solfège symbols do not describe the role of pitches relative to a tonic, but rather actual pitches.
Martin Alois Rohrmeier, Daniel Harasim, Steffen Alexander Herff, Gabriele Cecchetti, Christoph Finkensiep
Sylvain Jean-François Harquel, Camille Bonnet
Martin Alois Rohrmeier, Fabian Claude Moss