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Computer science is the study of computational machines, computational problems and computation itself. As a discipline, computer science spans a range of topics from theoretical studies of algorithms, computation and information to the practical issues of implementing computational systems in hardware and software.
Computer vision is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos. From the perspective of engineering, it seeks to understand and automate tasks that the human visual system can do.
Music information retrieval (MIR) is the interdisciplinary science of retrieving information from music. MIR is a small but growing field of research with many real-world applications. Those involved in MIR may have a background in musicology, psychoacoustics, psychology, academic music study, signal processing, informatics, machine learning, optical music recognition, computational intelligence or some combination of these.
Theoretical computer science (TCS) is a subset of general computer science and mathematics that focuses on mathematical aspects of computer science such as the theory of computation, lambda calculus, and type theory.
Computational science, also known as scientific computing or scientific computation (SC), is a rapidly growing field that uses advanced computing capabilities to understand and solve complex problems. It is an area of science which spans many disciplines, but at its core, it involves the development of models and simulations to understand natural systems.
Optical Music Recognition (OMR) is a field of research that investigates how to computationally read music notation in documents. The goal of OMR is to teach the computer to read and interpret sheet music and produce a machine-readable version of the written music score. Once captured digitally, the music can be saved in commonly used file formats, e.g. MIDI and MusicXML.
The University of MichiganSchool of Information (UMSI) or iSchool in Ann Arbor is a graduate school offering baccalaureate, magisterial, and doctoral degrees in informatics and information science.
The following outline is provided as an overview of and topical guide to artificial intelligence:
Computer audition (CA) or machine listening is general field of study of algorithms and systems for audio understanding by machine. Since the notion of what it means for a machine to "hear" is very broad and somewhat vague, computer audition attempts to bring together several disciplines that originally dealt with specific problems or had a concrete application in mind. The engineer Paris Smaragdis, interviewed in Technology Review, talks about these systems --"software that uses sound to locate people moving through rooms, monitor machinery for impending breakdowns, or activate traffic cameras to record accidents."
Engineering Informatics is an informatics discipline which focus on information engineering, and computational engineering. In general, informatics deals with information processing. Compared to technical informatics, engineering informatics focuses more on software. However, it does not rather focus on issues of large-scale systems. Typically, informatic engineers deal with computer-aided design, machine learning, computer vision, mobile robotics, real-time computing, digital image processing, pattern recognition, digital control, networking or multi-agent systems. Cognitive informatic background finds particular applications in the issues of artificial intelligence. Engineering informatics is also related to neuroinformatics.
Research in artificial intelligence (AI) is known to have impacted medical diagnosis, stock trading, robot control, and several other fields. Perhaps less popular is the contribution of AI in the field of music. Nevertheless, artificial intelligence and music (AIM) has, for a long time, been a common subject in several conferences and workshops, including the International Computer Music Conference, the Computing Society Conference and the International Joint Conference on Artificial Intelligence. In fact, the first International Computer Music Conference was the ICMC 1974, Michigan State University, East Lansing, US. Current research includes the application of AI in music composition, performance, theory and digital sound processing.
Informatics is the study of computational systems. The central notion is the transformation of information. According to Committee on European Computing Education (CECE), a joint committee between ACM Europe andInformatics Europe's report "Informatics Education in Europe: Are We All in The Same Boat?", informatics is European equivalent for computer science and computing as a profession. In the United States, however, informatics is often confused with library science, where this term was later introduced separately in a different sense.
Computational musicology is an interdisciplinary research area between musicology and computer science. Computational musicology includes any disciplines that use computers in order to study music. It includes sub-disciplines such as mathematical music theory, computer music, systematic musicology, music information retrieval, computational musicology, digital musicology, sound and music computing, and music informatics. 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, although musicians have been using computers to assist them in the composition of music beginning in the 1950s. Today, computational musicology encompasses a wide range of research topics dealing with the multiple ways music can be represented.
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.
The International Society for Music Information Retrieval (ISMIR) is an international forum for research on the organization of music-related data. It started as an informal group steered by an ad hoc committee in 2000 which established a yearly symposium - whence "ISMIR", which meant International Symposium on Music Information Retrieval. It was turned into a conference in 2002 while retaining the acronym. ISMIR was incorporated in Canada on July 4, 2008.
The following outline is provided as an overview of and topical guide to formal science:
The following outline is provided as an overview of and topical guide to natural language processing:
References
- 1 2 Müller, Meinard (2015). Fundamentals of Music Processing: Audio, Analysis, Algorithms, Applications. Springer International Publishing. ISBN 978-3-319-21944-8.
- 1 2 3 4 "Music Informatics Interest Group | SMT". societymusictheory.org.
- ↑ "Music Informatics". University of Sussex. Retrieved 2008-04-20.