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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 a ...
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Information Processing
Information processing is the change (processing) of information in any manner detectable by an observer. As such, it is a process that ''describes'' everything that happens (changes) in the universe, from the falling of a rock (a change in position) to the printing of a text file from a digital computer system. In the latter case, an information processor (the printer) is changing the form of presentation of that text file (from bytes to glyphs). The computers up to this period function on the basis of programs saved in the memory, having no intelligence of their own. In cognitive psychology Within the field of cognitive psychology, information processing is an approach to the goal of understanding human thinking in relation to how they process the same kind of information as computers (Shannon & Weaver, 1963). It arose in the 1940s and 1950s, after World War II (Sternberg & Sternberg, 2012). The approach treats cognition as essentially computational in nature, with ''mind'' b ...
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Music Information Retrieval
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 academic musicology, psychoacoustics, psychology, signal processing, informatics, machine learning, optical music recognition, computational intelligence or some combination of these. Applications MIR is being used by businesses and academics to categorize, manipulate and even create music. Music classification One of the classical MIR research topic is genre classification, which is categorizing music items into one of pre-defined genres such as classical, jazz, rock, etc. Mood classification, artist classification, instrument identification, and music tagging are also popular topics. Recommender systems Several recommender systems for music already exist, but surprisingly few are based upon MIR techniques, instead making use of similarity betwe ...
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Music Psychology
Music psychology, or the psychology of music, may be regarded as a branch of both psychology and musicology. It aims to explain and understand musical behaviour and experience, including the processes through which music is perceived, created, responded to, and incorporated into everyday life. Modern music psychology is primarily empirical; its knowledge tends to advance on the basis of interpretations of data collected by systematic observation of and interaction with human participants. Music psychology is a field of research with practical relevance for many areas, including music performance, composition, education, criticism, and therapy, as well as investigations of human attitude, skill, performance, intelligence, creativity, and social behavior. Music psychology can shed light on non-psychological aspects of musicology and musical practice. For example, it contributes to music theory through investigations of the perception and computational modelling of musical ...
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Improvisation
Improvisation is the activity of making or doing something not planned beforehand, using whatever can be found. Improvisation in the performing arts is a very spontaneous performance without specific or scripted preparation. The skills of improvisation can apply to many different faculties, across all artistic, scientific, physical, cognitive, academic, and non-academic disciplines; see Applied improvisation. Improvisation also exists outside the arts. Improvisation in engineering is to solve a problem with the tools and materials immediately at hand. Improvised weapons are often used by guerrillas, insurgents and criminals. Engineering Improvisation in engineering is to solve a problem with the tools and materials immediately at hand. Examples of such improvisation was the re-engineering of carbon dioxide scrubbers with the materials on hand during the Apollo 13 space mission, or the use of a knife in place of a screwdriver to turn a screw. Engineering improvisations ...
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Recommendation System
A recommender system, or a recommendation system (sometimes replacing 'system' with a synonym such as platform or engine), is a subclass of information filtering system that provide suggestions for items that are most pertinent to a particular user. Typically, the suggestions refer to various decision-making processes, such as what product to purchase, what music to listen to, or what online news to read. Recommender systems are particularly useful when an individual needs to choose an item from a potentially overwhelming number of items that a service may offer. Recommender systems are used in a variety of areas, with commonly recognised examples taking the form of playlist generators for video and music services, product recommenders for online stores, or content recommenders for social media platforms and open web content recommenders.Pankaj Gupta, Ashish Goel, Jimmy Lin, Aneesh Sharma, Dong Wang, and Reza Bosagh ZadeWTF:The who-to-follow system at Twitter Proceedings of the ...
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Musical Analysis
Musical analysis is the study of musical structure in either compositions or performances. According to music theorist Ian Bent, music analysis "is the means of answering directly the question 'How does it work?'". The method employed to answer this question, and indeed exactly what is meant by the question, differs from analyst to analyst, and according to the purpose of the analysis. According to Bent, "its emergence as an approach and method can be traced back to the 1750s. However it existed as a scholarly tool, albeit an auxiliary one, from the Middle Ages onwards." The principle of analysis has been variously criticized, especially by composers, such as Edgard Varèse's claim that, "to explain by means of nalysisis to decompose, to mutilate the spirit of a work". Analyses Some analysts, such as Donald Tovey (whose '' Essays in Musical Analysis'' are among the most accessible musical analyses) have presented their analyses in prose. Others, such as Hans Keller (who devised ...
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Optical Music Recognition
Optical music recognition (OMR) is a field of research that investigates how to computationally read musical 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 (for playback) and MusicXML (for page layout). In the past it has, misleadingly, also been called "music optical character recognition". Due to significant differences, this term should no longer be used. History Optical music recognition of printed sheet music started in the late 1960s at the Massachusetts Institute of Technology when the first image scanners became affordable for research institutes. Due to the limited memory of early computers, the first attempts were limited to only a few measures of music. In 1984, a Japanese research group from Waseda University developed a specialized robot, called WABOT (WAseda roBOT ...
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Academic Degree
An academic degree is a qualification awarded to students upon successful completion of a course of study in higher education, usually at a college or university. These institutions commonly offer degrees at various levels, usually including undergraduate degrees, master's, and doctorates, often alongside other academic certificates and professional degrees. The most common undergraduate degree is the bachelor's degree, although in some countries there are lower level higher education qualifications that are also titled degrees (e.g. associate degrees and foundation degrees). History Emergence of the doctor's and master's degrees and the licentiate The doctorate (Latin: ''doceo'' "I teach") appeared in medieval Europe as a license to teach (Latin: ''licentia docendi'') at a medieval university. Its roots can be traced to the early church when the term "doctor" referred to the Apostles, church fathers and other Christian authorities who taught and interpreted the Bible ...
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Music Technology
Music technology is the study or the use of any device, mechanism, machine or tool by a musician or composer to make or perform music; to compose, notate, playback or record songs or pieces; or to analyze or edit music. History The earliest known applications of technology to music was prehistoric peoples' use of a tool to hand-drill holes in bones to make simple flutes. Ancient Egyptians developed stringed instruments, such as harps, lyres and lutes, which required making thin strings and some type of peg system for adjusting the pitch of the strings. Ancient Egyptians also used wind instruments such as double clarinets and percussion instruments such as cymbals. In Ancient Greece, instruments included the double-reed aulos and the lyre. Numerous instruments are referred to in the Bible, including the cornu, pipe, lyre, harp, and bagpipe. During Biblical times, the cornu, flute, horn, pipe organ, pipe, and trumpet were also used. During the Middle Ages, music not ...
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Computer Programming
Computer programming is the process of performing a particular computation (or more generally, accomplishing a specific computing result), usually by designing and building an executable computer program. Programming involves tasks such as analysis, generating algorithms, profiling algorithms' accuracy and resource consumption, and the implementation of algorithms (usually in a chosen programming language, commonly referred to as coding). The source code of a program is written in one or more languages that are intelligible to programmers, rather than machine code, which is directly executed by the central processing unit. The purpose of programming is to find a sequence of instructions that will automate the performance of a task (which can be as complex as an operating system) on a computer, often for solving a given problem. Proficient programming thus usually requires expertise in several different subjects, including knowledge of the application domain, specialized algori ...
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Artificial Intelligence
Artificial intelligence (AI) is intelligence—perceiving, synthesizing, and inferring information—demonstrated by machines, as opposed to intelligence displayed by animals and humans. Example tasks in which this is done include speech recognition, computer vision, translation between (natural) languages, as well as other mappings of inputs. The ''Oxford English Dictionary'' of Oxford University Press defines artificial intelligence as: the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. AI applications include advanced web search engines (e.g., Google), recommendation systems (used by YouTube, Amazon and Netflix), understanding human speech (such as Siri and Alexa), self-driving cars (e.g., Tesla), automated decision-making and competing at the highest level in strategic game systems (such as chess and Go). ...
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Generative Music
Generative music is a term popularized by Brian Eno to describe music that is ever-different and changing, and that is created by a system. Historical background In 1995 whilst working with SSEYO's Koan software (built by Tim Cole and Pete Cole who later evolved it to Noatikl then Wotja), Brian Eno used the term "generative music" to describe any music that is ever-different and changing, created by a system. The term has since gone on to be used to refer to a wide range of music, from entirely random music mixes created by multiple simultaneous CD playback, through to live rule-based computer composition. Koan was SSEYO's first real-time music generation system, developed for the Windows platform. Work on Koan was started in 1990, and the software was first released to the public in 1994. In 1995 Brian Eno started working with SSEYO's Koan Pro software, work which led to the 1996 publication of his title 'Generative Music 1 with SSEYO Koan Software'. Eno's early relationship ...
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