VisiSonics Digital Array Microphones (VDAM)
Easily deployed and configured array microphones that provide unmatched performance/price
The VisiSonics Digital Microphone Array (VDAM) system’s patented digital microphone array technology offers the ultimate in flexibility.The VDAM system provides the ability to chain several microphones together in series, reducing wire clutter. Since the A to D conversion is done right at the microphone capsule, the architecture completely eliminates the costly add-ons (preamplifiers, analog to digital equipment, and processing computers) necessary to the operation of other microphone arrays.
Our system easily connects directly to your computer using, industry standard, USB2.0 and data can be streamed into Matlab so that you can tryout your algorithms on the fly! Alternately, they can be streamed to disk or SSD for later analysis.
To supplement our microphone arrays, we offer a microphone array toolbox for Matlab, where we provide documentation and example code from Matlab and C for simple Beamforming algorithms and Speech Enhancement.
RealSpace 3D Audio
To create a convincing artificial audio environment for a user wearing headphones, sound processing must faithfully reproduce the acoustic spatial cues which would have been received at the ears from a real audio environment. These cues include those created by scattering off the listeners’ body (using a head-related transfer function or HRTF) and cues due to the environment (using customizable room models). RealSpace 3D achieves high resolution by including proprietary adjustments necessary to accommodate the complex interplay between the two cues.
Our proprietary algorithms are efficient, and are already being incorporated in gaming engines. A native library and a Unity plugin are available. The latter supports complex scripting, and allows the game designer to interactively design the audio experience. Perception of 3D is enhanced when the HRTF of the user is customized. VisiSonics is developing technologies for HRTF personalization resolved by rapid measurement on anthropometry (physical measurements), and machine-learning based customization from a HRTF database.