DSP, Micros & Memory


Offline voice recognition module

26 April 2022 DSP, Micros & Memory

AI-Thinker’s VB-01 is an offline voice recognition AI module featuring ultra-low cost, high reliability and strong versatility.  Its speech recognition technology achieves a highly dependable wake-up recognition rate, longer-distance wake-up, strong noise immunity, fast response recognition time, and pure offline recognition without networking.   

Powered by a high-performance 32-bit processor, the chip has a built-in DSP instruction enhancement unit and MCA algorithm hardware accelerator required for speech recognition neural network calculations. The AI algorithm and chip architecture are deeply integrated, enabling speech recognition algorithms, speech enhancement, noise reduction and other acoustic front-end processing algorithms, providing smart devices with excellent voice control and voice interaction capabilities in the far-field environment.  The main chip has been fully and deeply optimised in terms of AI computing power, storage performance and integration. 

The VB-01 has peripheral interfaces including UART, I2C and PWM, and simple secondary development tools to facilitate single-module voice control application scenarios. 

 


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