Search Results for "composition"
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Showing 10 open source projects for "composition"
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As a library of classes for generating and manipulating music and sound, jMusic provides a solid framework for computer assisted composition in Java. jMusic has a music data structure based upon note/sound events and methods for modifying and structu
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Csound is a sound and music synthesis system, providing facilities for composition and performance over a wide range of platforms. It is not restricted to any style of music, having been used for many years in at least classical, pop, techno, ambient. Csound is now hosted at https://github.com/csound Binary and source-code releases: http://csound.github.io/download.html Mailing lists are hosted by HEAnet at https://listserv.heanet.ie/cgi-bin/wa?
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A C++ library and Python module for audio synthesis featuring dynamic digital filters. Nsound lets you easily shape waveforms and write to disk or plot them. Nsound aims to be as powerful as Csound but easy to use.
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Rubato Composer is a music software based on the concepts and models of mathematical music theory and equally suited for music composition, analysis, performance, and logical or geometric operations.
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This is a program to store data calculated from the tempo of a song into different degrees of seconds for use with "programming synths". Written in C++ with Visual C++ Express. Java version coming soon.
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Application to transcribe music. This means recording songs/open audio files and pick out the notes.
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The concept of Computer Aided Music Composition emerged as a natural sequel to the music hardware/software revolution dating back to early 50s. STOCASTICVS aims to grow into the best CAMC software yet, truly unleashing individual’s creative potential.
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Musica is a sound and music synthesis package for Mathematica, providing advanced facilities for composition, analysis and playback.
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Evomusic deals with automatic composition of music (midi-files) using evolutionary algorithms. Currently we are testing multiple approaches for doing this successfully, especially neural networks and/or algorithms based on simple music theory.
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