PureAudio-AI DA-250Q OEM Array Microphone-Speakerphone System

Compact Digital Stereo Array Microphone with beam forming, noise reduction and full duplex acoustic echo cancelation functionality.
Natural Language Processing Microphone

The PureAudio-AI array microphone-speakerphone sound system achieves superior performance for Artificial Intelligence (AI), Natural Language Processing (NLP), Conversational Computing used in hands-free applications of many embedded IoT devices such as; Smart Phones, Automated Teller Machines (ATMs) with remote customer service, Drive-Thru Order Systems with self-service order entry, Interactive Kiosks with information search, Autonomous automobiles with voice control as well as office buildings’ virtual doorman/concierge.

Natural Language Processing Microphone: Natural Language Processing (NLP) is an area of artificial intelligence (AI) using computational linguistics for the parsing and semantic interpretation of text. With Natural Language Processing, systems are able to learn, analyze, and better understand human language.

Andrea Electronics is a certified OEM microphone technology partner for IBM Watson™ Assistant Solutions

Andrea array microphone technology improves Watson speech recognition word error rate accuracy by almost 50% over competitive far-field noise canceling microphones when used in real world noisy environments.

conversational computing microphone

Product Description

The DA-250Q is a compact Stereo Array Microphone Digital Signal Processor (DSP) circuit board platform that can easily be integrated into many different OEM devices that would greatly benefit from directional noise canceling microphone performance and full duplex acoustic echo cancelation for speakerphone functionality.

Click Here to Download Barge-In Report.

Requiring only two tiny holes in the faceplate of a device, the DA-250Q OEM Array Microphone can deliver directional microphone sensitivity without the need for acoustic baffling, as found in large parabolic waveguides or long shotgun tube type microphones.

The DA-250Q is perfect for systems that demand superior microphone sound quality and performance for speech recognition accuracy and/or communication system intelligibility, while at the same time requiring the user to speak at distance from the microphone, providing superior sound quality with far-field/hands-free speakerphone performance.

System Configurations: Stereo Array Microphone with DSDA beam forming, PureAudio noise reduction and EchoStop full duplex echo cancelation.


Compare the performance of Andrea’s audio filters on the Raspberry Pi 3 vs the Amazon Echo in far-field operation.


Compare the performance of Andrea’s audio filters on the Raspberry Pi 3 vs the Intel Speech Enabling Developer Kit.


  • Superior sound quality far-field/hands-free microphone performance.
  • Wide frequency response for enhanced accuracy with large vocabulary continuous speech recognition systems.
  • Wide bandwidth noise reduction spectrum.
  • Stereo microphone digital beam forming for directional sensitivity.
  • Full duplex acoustic echo cancelation speakerphone function.
  • Low voice distortion and minimal digital artifacts when used in high noise conditions.
  • More accurate speech recognition in high noise environments.
  • Amplified signal output for interface into any standard microphone input.
  • Simple acoustic integration for existing communication system retrofit.
  • Robust adaptive algorithms, no tuning required per embodiment.
  • Only 10 millisecond latency.
  • Low power consumption.

Andrea DA-250Q DSP Microphone Module – Automotive Recordings

DA-250Q Product Development Kit

Interactive Kiosk Microphone Information Kiosk Microphone

Below are examples of devices that utilize the DA-250Q for voice communications and speech recognition applications:

  • ATM/VTMs
  • Automotive
  • Consumer electronics
  • Drive thru order posts
  • Embedded applications
  • Robotics
  • Natural Language Processing (NLP)
  • Conversational Computing microphone
  • Interactive (Information) Kiosk