Search Results for "source testing unit testing"

🔗 Official Project SongRec is an open-source application for music recognition. 👉 Official repository: https://github.com/marin-m/SongRec 👉 Official releases: https://github.com/marin-m/SongRec/releases 📦 About These Files The latest official Windows builds are now provided directly by the original maintainer. This page may host: Mirrors of official releases Historical versions for compatibility/testing Previously distributed builds for archival purposes ⚠️ Important Notice I didn't create the files for v0.6.7(+) All credit goes to the original author and contributors of SongRec. ...

The Live Toolbox is designed to enhance the very popular Behringer X32 and Midas M32 digital mixing consoles. Even though the X32/M32 firmware has been updated frequently over the years with new improvements and features, it does not seem to be able to keep up with the numerous feature requests. This toolbox is an attempt to supplement the current features. As with any toolbox, tools can be added or removed as necessary.

The new Behringer Wing console now includes an OSC server. The Wing Live Toolbox has been ported from the popular X32 and X-Air Live Toolbox. It's purpose is to enhance the capabilities of this amazing console by providing snippet-like functionality using tidbits.

Thérémine is an audio program which reads realtime pitch and volume data from an USB Arduino Theremin, and generates high quality audio signal emulating a realistic instrument. It was originally designed to work with an Open.Theremin.UNO shield (see http://www.gaudi.ch/OpenTheremin), although it should work with other Arduino devices as long as you provide an appropriate program. Thérémine can play a variety of different tones. It comes with another program, Loop bank manager, whose...

Speaker Workshop is an application for testing speaker drivers using a Windows sound card, then designing and simulating loudspeakers and enclosures and creating and optimizing crossovers.

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.