Bace Technologies has recently rolled out an update to its innovative voice to MIDI plugin and standalone application. This cutting-edge tool harnesses the power of machine learning to enable users to control MIDI functions using their voice through a microphone.
The latest version 1.1.5 of Bace introduces several key enhancements, including an improved triggering detection algorithm and enhanced latency compensation. These updates aim to provide users with a smoother and more accurate experience when utilizing the plugin.
One of the standout features of Bace is its voice recognition algorithm, which can be trained to accurately identify a user’s voice. Once trained, users can seamlessly control their preferred audio software or hardware using their own vocal sounds, opening up a world of creative possibilities.
Key enhancements in Bace v1.1.5 include a new and improved triggering detection algorithm that reduces false positives, improved latency compensation with better reporting to the DAW, the introduction of a loudness threshold, and a more responsive envelope follower. Additionally, the Windows version of the software has received general updates to improve performance and user experience.
Bace is compatible with both Windows and Mac operating systems and is available for purchase at a price of USD. For more information on Bace Technologies and to explore the capabilities of this innovative voice to MIDI plugin, visit the official website.