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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.
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.
As this area of research is defined by the tools that it uses and its subject matter, research in computational musicology intersects with both the humanities and the sciences. The use of computers in order to study and analyze music generally began in the 1960s, [ 3 ] although musicians have been using computers to assist them in the ...
Research has shown that music can be used as an alternative method to access these functions that may be unavailable through non-musical stimulus due to a disorder. Musicology explores the use of music and how it can provide alternative transmission routes for information processing in the brain for diseases such as Parkinson's and dyslexia as ...
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.
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.
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The Internet of Musical Things (also known as IoMusT) is a research area that aims to bring Internet of Things connectivity [1] [2] [3] to musical and artistic practices. . Moreover, it encompasses concepts coming from music computing, ubiquitous music, [4] human-computer interaction, [5] [6] artificial intelligence, [7] augmented reality, virtual reality, gaming, participative art, [8] and ...