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Music information retrieval (MIR) is the interdisciplinary science of retrieving information from music. Those involved in MIR may have a background in academic musicology, psychoacoustics, psychology, signal processing, informatics, machine learning, optical music recognition, computational intelligence, or some combination of these.
In A Guide to Research in Music Education, Phelps, Ferrara and Goolsby define research as the identification and isolation of a problem into a workable plan; the implementation of that plan to collect the data needed; and the synthesis, interpretation and presentation of the collected information into some format which readily can be made available to others.
Music informatics, as a degree subject, offers a similar learning experience to music technology, but goes further into learning the principles behind the technology. [3] Informatics students will not just use existing music hardware and software, but will learn programming and artificial intelligence.
The benefits of music as a core subject and its impact on the education system through the arithmetic, language, concentration, and other skills involved still have to be assessed before conclusions can be drawn about the concrete, measurable impacts music and the arts have on children in the United States public school system.
The Journal of Research in Music Education publishes reports of original research related to music teaching and learning. The journal covers topics such as music pedagogy, history, and philosophy, and addresses vocal, instrumental, and general music at all levels, from early childhood through to adult.
The software utilized music information processing and artificial intelligence techniques to essentially solve the transcription problem for simpler melodies, although higher-level melodies and musical complexities are regarded even today as difficult deep-learning tasks, and near-perfect transcription is still a subject of research.
Sound and music computing (SMC) is a research field that studies the whole sound and music communication chain from a multidisciplinary point of view. By combining scientific, technological and artistic methodologies it aims at understanding, modeling and generating sound and music through computational approaches.
Behaviorism examines relationships between the environment and the individual with roots in early 20th century work in the German experimental school. [11] Theories by researchers such as Ivan Pavlov (who introduced classical conditioning), and B.F. Skinner (operant conditioning) looked at how environmental stimulation could impact learning, theorists building on these concepts to make ...