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Music informatics is a study of music processing,[1] in particular music representations, fourier analysis of music, music synchronization, music structure analysis and chord recognition.[1][2] Other music informatics research topics include computational music modeling (symbolic, distributed, etc.),[2] computational music analysis,[2] optical music recognition,[2] digital audio editors, online music search engines, music information retrieval and cognitive issues in music. Because music informatics is an emerging discipline, it is a very dynamic area of research with many diverse viewpoints, whose future is yet to be determined.
- interdisciplinary relationships in music informatics
- the digital revolution in music its impact on music information services and music libraries
- knowledge of current trends in music technologies including software and hardware
- mental models in the cognition of music listening and performing
- symbolic music modeling systems and computer-aided composition
- social and economic realities of the consumption of music in Western societies
- improvisation in music, especially where it is facilitated by music technology
- music digital libraries and collections architectures
- future of music distribution, the music industry, and music libraries
- music information retrieval
- music recommendation systems
- studying and synthesizing music expression
- audio signal-to-score (singing, polyphonic, piano, etc.)
- musical analysis
- musical accompaniment systems
- score following
- optical music recognition (OMR)
- music Source Separation
- music for Computer Games
- MIDI to Symbolic Score
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.
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