Music informatics

Music informatics is a study of music processing, in particular music representations, fourier analysis of music, music synchronization, music structure analysis and chord recognition. Other music informatics research topics include computational music modeling (symbolic, distributed, etc.), computational music analysis, optical music recognition, 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.

Sub-topics in Music Informatics research

 * 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 in education
Music informatics, as a degree subject, offers a similar learning experience to music technology, but goes further into learning the principles behind the technology. Informatics students will not just use existing music hardware and software, but will learn programming and artificial intelligence.