IA8201 Audio Edge Processor enables accelerated machine learning inferencing

IA8201 Audio Edge Processor enables accelerated machine learning inferencing


Knowles’ AISonic™ audio edge processor IA8201 audiocentric OpenDSP enables accelerated machine learning inferencing

The Knowles AISonic audio edge processor IA8201 is a high-performance, ultra-low-power audio-centric OpenDSP supporting up to 4 mics, multiple high-speed interfaces, and GPIOs in two package options (eWLB and QFN). It provides low power, high efficiency, privacy, and compute power enabling customers to design modern products with far-field voice processing functionality for accurate listening. The IA8201 enables wake-on-voice processing for low latency voice UI, noise reduction, context awareness, and accelerated machine learning inferencing for edge processing of sensor inputs.

Knowles currently utilizes a modular approach to add voice with the capability to work with existing platforms and MCUs. IA8201 allows easy integration with legacy MCU system boards by running these commands over a simple UART interface.

The IA8201-RDI-01 is an evaluation kit based on the Knowles AISonic audio edge processor IA8201. It is a complete system-level solution that enables Knowles customers to quickly go from an idea to a front-end audio solution that meets their platform requirements. It includes an IA8201-LT dev board, Raspberry Pi connector board, one 3-mic array, one 2-mic array, and flex cable connectors. The system firmware release to connect this platform is available on solution.knowles.com. It also comes with support of Sensory Voice Hub, which allows a user to create wake-words and local commands using a Web-based voice user interface.

Use Case Examples

  • Low power voice wake: Listens for specific OEM keywords to wake the host processor. Large memory enables processing of multiple stages on-chip for accurate results.
  • Proximity detection: When combined with an ultrasonic capable speaker and microphone, detects the distance between the system and an object; can replace an IR-Prox sensor in bezel-less phones.
  • Hub: Determines location of voice source while tuning out a noisy environment and lowering music to detect voice commands. Simultaneously takes metadata input and overrides beamformer to focus on camera-tracked objects.
  • Security system: Activate with a voice command. Detect glass breakage/smoke alarm, log direction of noise source, trigger alarm, and send alerts through Wi-Fi connection.
  • Wireless earbuds: Delivers low power premium wake-on-voice performance, talk detection to eliminate false triggers, enhanced voice quality through advanced beamforming and noise reduction algorithms, and support for local commands, including answer/ignore calls.


  • Multi-Core: DeltaMax, optimized for compute; HemiDelta, optimized for low power
  • Audio interfaces: Up to 4x PDM digital microphones – 1 stereo inputs, 4 x mono inputs, and 1 stereo output, supporting clock rates up to 6.144 MHz; up to 3x PS/TDM ports supporting 8 channels each of 32-bit audio data using a 24.576 MHz input clock
  • Control interfaces: SPI, I2C, UART, available GPIOs
  • Memory: 1.44 MB RAM (1 MB available to users)
  • Clock: 175 MHz
  • Packaging options: eWLB 3.00 mm x 2.6 mm x 0.715 mm, 0.4 pitch, 42 ball; QFN 6.00 mm x 6.00 mm x 0.75 mm, 0.5 pitch, 40 lead
  • System requirements: IA8201BC 1.8 VDD, IA8201CQ 1.8 VDD and 3.3 VDD, -20°C to +85°C

more information: https://www.knowles.com/docs/default-source/default-document-library/knowles-ia8201-product-brief-final9d761b731dff6ddbb37cff0000940c19.pdf

About mixos

Mike is the founder and editor of Electronics-Lab.com, an electronics engineering community/news and project sharing platform. He studied Electronics and Physics and enjoys everything that has moving electrons and fun. His interests lying on solar cells, microcontrollers and switchmode power supplies. Feel free to reach him for feedback, random tips or just to say hello :-)

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