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New articles:

» Weekly Editor's Choice Award - Aria Maestosa v1.2b3

» Tom's Music Thing - Ten awesome homemade guitars

» Image Line Software announces Edison

» FourTrack IPhone App updated to v1.2

» RiffWorks guitar recording and collaboration software updated

» Koblo relaunches NexSyn

» Image Line Software presents Gross Beat with Xmas Sale

» Audio Ease releases Altiverb v6.3

» Blue Cat Audio updates Analysis Pack and launches Winter special offers

» G-Sonique releases Pultronic EQ-110P


Past articles:

» Vienna Symphonic Library releases Solo Strings II 16.12.2008

» Muse Research announces RECEPTOR 2 PRO and RECEPTOR 2 PRO MAX 16.12.2008

» Victor Cerullo releases Max Magic Microtuner 2.0 16.12.2008


Weekly Editor's Choice Award - athenaCL v1.4.8

The athenaCL system is an open-source, object-oriented composition tool written in Python. The system can be scripted and embedded, and includes integrated instrument libraries, post-tonal and microtonal pitch modeling tools, multiple-format graphical outputs, and musical output in Csound, MIDI, audio file, XML, and text formats.

Musical parts are deployed as Textures, layered surface-defining objects containing numerous independent ParameterObjects to control pitch, tempo, rhythm, amplitude, panning, and instrument (Csound) parameters. The system includes an integrated library of Csound instruments, and supports output for external Csound instruments, MIDI, and a variety of alternative formats.

Over sixty specialized Generator, Rhythm, and Filter ParameterObjects provide tools for stochastic, chaotic, cellular automata based, markov based, wave-form, fractional noise (1/f), genetic, Xenakis sieve, linear and exponential break-point segments, masks, and various other algorithmic models. ParameterObjects can be embedded in other ParameterObjects to provide powerful dynamic and masked value generation.

Textures can be combined and edited, and tuned with algorithmic Temperament objects. Texture Clones allow the filtering and processing of Texture events, performing transformations not possible with parameter generation alone.

The analytic and algorithmic systems use Path objects to organize and share pitch groups. Paths provide simultaneous representations of ordered content groups in set-class, pitch-class space, and pitch space. Paths may contain numerous PathVoices (voice leadings) and may be analyzed with both set-class similarity measures and voice leading rankings. As a reference utility, pitch groups can be searched, analyzed, and compared with a wide variety of tools.

Windows 95/98/NT/2000/ME/XP - Full Description, System Requirements and Download

Macintosh OS X - Full Description, System Requirements and Download

Linux - Full Description, System Requirements and Download

Developer Web Site - Christopher Ariza

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Back 09.05.2008

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