We believe that only the technical perfection of speech recognition technology may guarantee the success of speech interface implementation. MicroAsr's large vocabulary continuous speaker independent speech recognition technology allows for the creation of a real, natural man-machine interface. It's on-device technology. MicroAsr's software doesn't need an internet connection to add a speech recognition interface to your device.
See more about MicroAsr's Speech Technologies.

MicroAsr's solution allows the manufacturer to add a voice control even to a low-cost smart home system. It operates at ARM Cortex-M4(M7) and other MCUs with a performance of 200DMIPS. Our on-device solution doesn't use any internet connection.
You can easily add and change voice commands on the device in real time depending on your needs in the moment.

For example, you can use voice commands such as:

  • Turn off the lights in the kitchen and the living room
  • Did I lock the front door?
  • What's the outside temperature?
  • What's the temperature inside?
  • Dim the lights in the dining room
  • Turn on Living Room light / Turn off Living Room light
  • Turn on Kitchen light / Turn off Kitchen light
  • Turn on Bedroom light / Turn off Bedroom light
  • Turn on Portico light / Turn off Portico light
  • Turn on Children room light / Turn off Children room light
  • Play some music
  • Decrease volume to minimum
  • Increase volume to maximum
  • Turn on heat/cooling
  • Make it warmer/cooler
  • Raise/lower the temperature





MicroAsr offers the development of customized state-of-the-art speaker-independent speech interfaces and licenses its speech recognition engine working at the edge.

MicroAsr's on-device Speech SDK is compatible with a wide range of modern MCUs. Due to its highly optimized algorithms, MicroAsr's SDK supports IP cores with a performance of 200 DMIPS. The requirements for memory are ROM 700 kb, RAM 256 kb. MicroAsr's SDK is available for most modern IDE and compilers (Keil mVision, NXP LPCXpresso, Freescale CodeWarrior, Atmel Studio, IAR Embedded Workbench, CooCox CoIDE and others).

List of supported MCUs: STM32: STM32F4, STM32F7; Microchip (Atmel) SAM S4, SAM S7, V7; Microchip Technology PIC32MZ; NXP (Freescale) Kinetis KV5x, i.MX RT; Analog Devices CM400; Cypress PSoC 6200; Infineon XMC4000; Texas Instruments MSP430; Toshiba TX04; Renesas Synergy S5; Expressif ESP32 Tensillica LX6

and other MCUs with a computing performance of 200 DMIPS.