Search results
Results from the WOW.Com Content Network
Computational musicology includes any disciplines that use computation in order to study music. It includes sub-disciplines such as mathematical music theory, computer music, systematic musicology, music information retrieval, digital musicology, sound and music computing, and music informatics. [2]
Jukedeck was a website that let people use artificial intelligence to generate original, royalty-free music for use in videos. [ 19 ] [ 20 ] The team started building the music generation technology in 2010, [ 21 ] formed a company around it in 2012, [ 22 ] and launched the website publicly in 2015. [ 20 ]
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.
Donald Knuth - The Art of Computer Programming; Ellen Ullman - Close to the Machine; Ellis Horowitz - Fundamentals of Computer Algorithms; Eric Raymond - The Art of Unix Programming; Gerald M. Weinberg - The Psychology of Computer Programming; James Gosling - The Java Programming Language; Joel Spolsky - The Best Software Writing I
Code: The Hidden Language of Computer Hardware and Software; Compilers: Principles, Techniques, and Tools; Computer Graphics: Principles and Practice; Computers and Intractability; Concepts, Techniques, and Models of Computer Programming; Concrete Mathematics
LilyPond, a computer program and file format for music engraving. Max/MSP, a proprietary, modular visual programming language aimed at sound synthesis for music; Mercury, a language for live-coding algorithmic music. Music Macro Language (MML), often used to produce chiptune music in Japan
Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!
Music information retrieval (MIR) is the interdisciplinary science of retrieving information from music. 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.