Search Results for "open port testing"

VMPK is a virtual MIDI piano keyboard for Linux, Windows and OSX. Based on Qt and Drumstick the program is a MIDI event generator using the computer's alphanumeric keyboard and the mouse. It may be used also to display received MIDI notes.

Editing software aid for use with the Primova GX-2 Gear Shifter device used with GK type hexaphonic guitar/bass processors. The editor will display and edit the internal functions of the Gear Shifter processor device via a USB port (serial over USB). Link to hardware unit site: https://www.primovasound.com/products/gx2/index.php/

Midi router - anywhere to anywhere. Midi Router Client is an advanced, cross-platform tool designed to route and manipulate MIDI signals in real time. It allows users to create virtual MIDI ports, map MIDI events (e.g., CC to pitch wheel), monitor inputs, and build custom controls like program change dropdowns—all with minimal latency Documentation: https://shemeshg.github.io/MidiRouterClient-mdbook Github and support: https://github.com/shemeshg/MidiRouterClient step by step...

MIDI Master Clock: Simple MIDI Song and Control Change Manager MIDI Master Clock is a lightweight, command-line utility for effortless MIDI device control and synchronization. It lets you define songs or cues in a simple text file, each with its own BPM and custom MIDI Control Change (CC) messages. What It Does: Reads Song Data: Configure song titles, BPM, and MIDI CCs (e.g., CC_ch0 10) in an easy-to-read data.txt file. Interactive Control: Select songs from a list, advance through...

Analog modeling synthesizer, with LFO modulators and fine MIDI control.

A multiplatform C++ library for MIDI port access. It is developed for the SoftMDR project.

This project contains several tools for testing MIDI drivers and devices in the Mac OS X (Darwin) MIDIServer environment. It may also function as sample code for accessing MIDI services on Mac OS X.

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.