For your listening pleasure. 1M = 1 minute of recording! MPEG Audio (stereo) @44.1KHz 16-bit 160-kbps layer II using the Mpecker Encoder. Must use Headphones!
Rather than focusing on the fleeting, exciting moments that immediately precede the arrival of an orisha in the form of a possession trance, this thesis investigates the entire four- to six-hour musical performance that is central to the ceremony. It exam
Tritonus is an implementation of the Java Sound API.
Currently, GNU/Linux i386 and Linux/PowerPC is supported. Some separately downloadable plugins also run on other JavaSound platforms. Support for other platforms is planned for the future.
Jm-Etude is a jMusic wrapper for the processing environment. It provides a high level API to communicate with jMusic therefore it makes it more easy to programm music composition with processing. jMusic itself is a solid framework for computer-assisted composition in Java, it is also used for generative music, instrument building, interactive performance and music analysis. If you are interested to find out more about jMusic, visit the project homepage
U. Martin Skrodzki, и K. Polthier. Proceedings of Bridges 2016: Mathematics, Music, Art, Architecture, Education, Culture, стр. 481--484. Phoenix, Arizona, Tessellations Publishing, (2016)Available online at http://archive.bridgesmathart.org/2016/bridges2016-481.html.
T. Mossakowski, и A. Tarlecki. 17th International Conference on Foundations of Software Science and Computation Structures (FoSSaCS), том 8412 из Lecture Notes in Computer Science, стр. 441-456. Springer-Verlag Berlin Heidelberg, (2014)
S. Huang, и G. Webb. LNAI State-of-the-Art Survey series, 'Data Mining: Theory, Methodology, Techniques, and Applications', стр. 64-77. Berlin/Heidelberg, Springer, (2006)An earlier version of this paper was published in S.J. Simoff and G.J. Williams (Eds.), Proceedings of the Third Australasian Data Mining Conference (AusDM04) Cairns, Australia. Sydney: University of Technology, pages 169-182..
G. Webb. Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2006), стр. 434 - 443. New York, The Association for Computing Machinery, (2006)