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The Development System for Auditory Modelling (DSAM) is a computational library designed specifically for producing simulations of the auditory system. It brings together many established auditory models within a flexible programming platform.
AcMus is a project on musical acoustics devoted to the development of models and computer tools for the study of room acoustics and focus on helping the investigation of issues related to the design, control and acoustic treatment of environments. AcMus has not been maintained for a few years now, but the code may still be useful. We consider the current repository to be at https://gitlab.com/ccsl-usp/acmus .
This android app is producing music and partition sheets in real time.
Furthermore, the AI module can be activated and be trained to learn you prefered style and play it.
You can also team play your music with the interconnect mode.
Finally, move your phone like a 'chef d'orchestre' and see how it changes the music...
Free to join for developers who support the Free Software Foundation cause. This is my research project from 2003, which I recently updated with acceleration- and console changes (Surround Sound, Doppler Effects, Device Updates, Physics) in a long weekend but project should be considered abandoned. Additionally, the Performer libraries have been abandoned by Silicon Graphics. Minor setup- and make reconfiguration bugs, no changes planned. The Command Centre is a Simulation Programming Framework for advanced Command and Control Simulators on Linux/Windows using C/C++ and Java. ...
An Interactive Fiction Player written for Java Virtual Machine. It implements the Z-machine and Glulx specifications and can be used either standalone or as an applet. The Z-Code/Glulx interpreter runs adventures made by Infocom and contemporary Inte
RDV is a visualization environment for scientific and engineering data. Built on top of the RBNB dynamic data server, it supports local and remote data sources and can visualize numeric, video, image, and audio data in a number of different ways.
Application of neural network to predict the future of stock exchange, aerospace ( ufo trajectory ), sound, image, noise, scientific or medical data. You need , by example, 100 days of a numeric data and the number of days to predict (by example 7 days).