With thousands of virtual microphones filling your space, there’s always one nearby. People can speak and act naturally in meetings and classes and be confident they’ll be heard by those who are remote.
With our technology, you don’t need to recalibrate your systems manually. Your audio system is automatically and continuously adapting to changes in your room’s acoustic profile.
Microphone Mist technology listens to and processes all virtual microphones simultaneously. Conversations sound natural, even when more than one person is speaking at the same time.
HVAC and other unwanted sounds can seriously affect your audio. So, instead of trying to suppress these noises after the fact, we use adaptive learning algorithms to preemptively ignore them.
We apply gain separately to each sound in a space based on its position, creating a natural listening experience for remote participants.
Amplify a presenter or instructor’s voice in the room without compromising the listening experience of remote attendees.
Use precise sound location data with any brand of USB or HDMI camera so remote participants always see who’s speaking.
Ready for hybrid? Microphone Mist technology lets everyone be heard in meetings and classes — whether in the room or remote. And Nureva® audio automatically adapts if you reconfigure a space.
Pro AV features and performance for extra-large meeting rooms and classrooms
Pro AV features and performance for large meeting rooms and classrooms
Easy-to-use APIs that let you integrate your devices and automate tasks
Value-added subscription service that offers extra protection and management features
Nureva® audio systems use position-based gain control to make specific optimizations to the microphone system and processing of all the sound sources in the room. These patented processes enable Nureva to optimize the talker’s gain while keeping ambient noise quieter and more constant. No matter where a person moves in the room, a virtual microphone is always nearby — and no detectable transition occurs as the talker moves between virtual mics as one might experience when moving between beams in a beamforming system.
There’s no need to adjust your audio every time you adjust your space. Our systems automatically and continuously adapt to a room’s acoustic profile. This means you can change your room — add furniture or adjust orientation — without having to do a manual recalibration. You can even move a system to another spot in the room and it immediately works — no fine-tuning needed. Traditional conferencing technology may require you to adjust mics, tweak noise reduction and echo cancellation or even add components to keep rooms sounding right, draining IT time and resources.
With our systems, it isn’t just about what you’re hearing — it’s about what you’re not hearing. We take a groundbreaking approach to the problem of persistent unwanted noises, like HVAC systems and projector fans. Instead of attempting to suppress them in post-processing, we use adaptive learning algorithms to preemptively ignore them. The result? You hear voices better and unwanted noises less.
Unlike approaches that apply gain to all sounds equally within a microphone pickup area, our technology modifies gain according to the position of each sound source in the room. This lets us make specific optimizations to both the microphones and the processing of each sound source. Remote participants have an easier listening experience without the distraction of uneven audio.
Automatic gain control keeps audio output levels within range by adding more gain on soft talkers. But both the talker and ambient sounds are treated equally, resulting in increased levels of background noise when people speak quietly. This can be very distracting to remote participants.
We accommodate both loud and soft talkers by providing gain appropriate to the sound source position in the room while keeping ambient noise consistent. The result is a signal-to-noise ratio appropriate for that position, which directly translates into a less fatiguing remote experience.
Hear the Nureva difference
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