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Computer music is the application of computing technology in music composition, to help human composers create new music or to have computers independently create music, such as with algorithmic composition programs. It includes the theory and application of new and existing computer software technologies and basic aspects of music, such as sound synthesis, digital signal processing, sound design, sonic diffusion, acoustics, electrical engineering, and psychoacoustics. The field of computer music can trace its roots back to the origins of electronic music, and the first experiments and innovations with electronic instruments at the turn of the 20th century.
Sheet music is a handwritten or printed form of musical notation that uses musical symbols to indicate the pitches, rhythms, or chords of a song or instrumental musical piece. Like its analogs – printed books or pamphlets in English, Arabic, or other languages – the medium of sheet music typically is paper. However, access to musical notation since the 1980s has included the presentation of musical notation on computer screens and the development of scorewriter computer programs that can notate a song or piece electronically, and, in some cases, "play back" the notated music using a synthesizer or virtual instruments.
A music sequencer is a device or application software that can record, edit, or play back music, by handling note and performance information in several forms, typically CV/Gate, MIDI, or Open Sound Control, and possibly audio and automation data for digital audio workstations (DAWs) and plug-ins.
Generative art is post-conceptual art that has been created with the use of an autonomous system. An autonomous system in this context is generally one that is non-human and can independently determine features of an artwork that would otherwise require decisions made directly by the artist. In some cases the human creator may claim that the generative system represents their own artistic idea, and in others that the system takes on the role of the creator.
Max Vernon Mathews was an American pioneer of computer music.
Algorithmic composition is the technique of using algorithms to create 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.
David Cope is an American author, composer, scientist, and Dickerson Emeriti Professor of Music at UC Santa Cruz. His primary area of research involves artificial intelligence and music; he writes programs and algorithms that can analyze existing music and create new compositions in the style of the original input music. He taught the groundbreaking summer workshop in Workshop in Algorithmic Computer Music (WACM) that was open to the public as well as a general education course entitled Artificial Intelligence and Music for enrolled UCSC students. Cope is also co-founder and CTO Emeritus of Recombinant Inc., a music technology company.
In music, transcription is the practice of notating a piece or a sound which was previously unnotated and/or unpopular as a written music, for example, a jazz improvisation or a video game soundtrack. When a musician is tasked with creating sheet music from a recording and they write down the notes that make up the piece in music notation, it is said that they created a musical transcription of that recording. Transcription may also mean rewriting a piece of music, either solo or ensemble, for another instrument or other instruments than which it was originally intended. The Beethoven Symphonies transcribed for solo piano by Franz Liszt are an example. Transcription in this sense is sometimes called arrangement, although strictly speaking transcriptions are faithful adaptations, whereas arrangements change significant aspects of the original piece.
Eduardo Reck Miranda is a Brazilian composer of chamber and electroacoustic pieces but is most notable in the United Kingdom for his scientific research into computer music, particularly in the field of human-machine interfaces where brain waves will replace keyboards and voice commands to permit the disabled to express themselves musically.
Algorithmic art or algorithm art is art, mostly visual art, in which the design is generated by an algorithm. Algorithmic artists are sometimes called algorists.
Evolutionary music is the audio counterpart to evolutionary art, whereby algorithmic music is created using an evolutionary algorithm. The process begins with a population of individuals which by some means or other produce audio, which is either initialized randomly or based on human-generated music. Then through the repeated application of computational steps analogous to biological selection, recombination and mutation the aim is for the produced audio to become more musical. Evolutionary sound synthesis is a related technique for generating sounds or synthesizer instruments. Evolutionary music is typically generated using an interactive evolutionary algorithm where the fitness function is the user or audience, as it is difficult to capture the aesthetic qualities of music computationally. However, research into automated measures of musical quality is also active. Evolutionary computation techniques have also been applied to harmonization and accompaniment tasks. The most commonly used evolutionary computation techniques are genetic algorithms and genetic programming.
Impro-Visor is an educational tool for creating and playing a lead sheet, with a particular orientation toward representing jazz solos.
Computational creativity is a multidisciplinary endeavour that is located at the intersection of the fields of artificial intelligence, cognitive psychology, philosophy, and the arts.
Music and artificial intelligence (AI) is the development of music software programs which use AI to generate music. As with applications in other fields, AI in music also simulates mental tasks. A prominent feature is the capability of an AI algorithm to learn based on past data, such as in computer accompaniment technology, wherein the AI is capable of listening to a human performer and performing accompaniment. Artificial intelligence also drives interactive composition technology, wherein a computer composes music in response to a live performance. There are other AI applications in music that cover not only music composition, production, and performance but also how music is marketed and consumed. Several music player programs have also been developed to use voice recognition and natural language processing technology for music voice control. Current research includes the application of AI in music composition, performance, theory and digital sound processing.
A story generator or plot generator is a tool that generates basic narratives or plot ideas. The generator could be in the form of a computer program, a chart with multiple columns, a book composed of panels that flip independently of one another, or a set of several adjacent reels that spin independently of one another, allowing a user to select elements of a narrative plot. The tool may allow the user to select elements for the narrative, or it may combine them randomly, a specific variation known as a random plot generator. Such tools can be created for virtually any genre, although they tend to produce formulaic and hackneyed situations.
The following outline is provided as an overview of and topical guide to machine learning:
MargaretaAckerman is a Belarussian-American computer scientist known for her research in cluster analysis and algorithmic composition of music. She is an assistant professor of computer science and engineering at Santa Clara University, and the founder and CEO of algorithmic music firm WaveAI.
Joshua Banks Mailman is an American music theorist, as well an analyst, composer, improvisor, philosopher, critic, and technologist of music.
Jukedeck was a British technology company founded in 2012. It built a website that let users create royalty-free music using artificial intelligence.
References
- ↑ Cope, David (2006), Computer Models of Musical Creativity, Cambridge, MA: MIT Press
- ↑ and
- ↑ Curtis Roads, ed. (1996), The Computer Music Tutorial, MIT Press, ISBN 0-262-18158-4
- ↑ Gonçalo Oliveira, Hugo; et al. (2007), Tra-la-lyrics: an approach to generate text based on rhythm, Proceedings of the 4th International Joint Workshop on Computational Creativity, pp. 47–55, London, UK, (June 2007)
- ↑ Gervás, Pablo (2001), An expert system for the composition of formal Spanish poetry, Journal of Knowledge-Based Systems 14(3-4) pp 181–188
- ↑ Meehan, James (1981), TALE-SPIN, Shank, R. C. and Riesbeck, C. K., (eds.), Inside Computer Understanding: Five Programs plus Miniatures. Hillsdale, NJ: Lawrence Erlbaum Associates
- ↑ Turner, S.R. (1994), The Creative Process: A Computer Model of Storytelling, Hillsdale, NJ: Lawrence Erlbaum Associates
- ↑ Bringsjord, S., Ferrucci, D. A. (2000), Artificial Intelligence and Literary Creativity. Inside the Mind of BRUTUS, a Storytelling Machine., Hillsdale NJ: Lawrence Erlbaum Associates
{{citation}}: CS1 maint: multiple names: authors list (link) - ↑ Veale, Tony, Hao, Yanfen (2007), Comprehending and Generating Apt Metaphors: A Web-driven, Case-based Approach to Figurative Language, Proceedings of AAAI 2007, the 22nd AAAI Conference on Artificial Intelligence. Vancouver, Canada
{{citation}}: CS1 maint: multiple names: authors list (link)