Nearity A20 Conference Speakerphone

Nearity AW-A20 Overview

The gray and black A20 from Nearity is an elegant conference speakerphone featuring sophisticated AI deep-learning algorithms designed to reduce background noise and deliver clear, intelligible speech for meeting spaces, classrooms, and educational environments. The unit is equipped with an eight-microphone array that picks up audio in a 360° radius at a distance up to 16 away. A built-in 1.5W speaker provides a wide frequency response from 155 Hz to 16 kHz tailored to accurately reproduce the human voice. The A20 is a wired speakerphone and features PoE and USB ports, allowing it to easily interface with networked conference systems. Use the free Nearsync software download for Windows and Mac computers to set up and adjust the unit.

De-Reverberation to Make Your Voice Heard Clearly

The A20 microphone has an 8-element array that uses beamforming technology to eliminate acoustic and room echo, ensuring clear communication in conference rooms, even in noisy environments. This ensures that all participants in the meeting can be heard equally.

Full-Duplex to Make Your Meeting Flow

With its full-duplex technology, the A20 allows for seamless, simultaneous communication between both ends of the call, ensuring no words are missed during the conversation.

The A20 s ability to daisy-chain up to 5 units together allows for its use in small meeting spaces and larger, more complex meetings. This allows for creating a combined array of microphones to suit the needs of any size gathering.

Plug-and-Play Simplicity

The A20 can be easily hooked up via USB or Ethernet connection, offering setup flexibility. It is also compatible with a variety of leading unified communications platforms including Zoom, Skype, Slack, Google Hangouts/Classroom, GoToMeeting, BlueJeans, Twitch, Facebook Live, xsplit, and OBS. Physical buttons on the unit allow you to quickly answer calls, adjust volume, and engage the mute function.

Nearity s noise-reduction technology uses deep-learning algorithms to suppress background noises during meetings, resulting in clear and uninterrupted communication among participants. The technology has been trained on a large dataset of meetings to optimize its performance in reducing noise.