CEVA-BX DSP cores and WhisPro speech recognition software targeting conversational AI and contextual awareness applications now  support TensorFlow Lite for MCUs.

This delivers a production ready, cross-platform framework for deploying tiny machine learning on power-efficient processors in edge devices.

Tiny machine learning brings the power of AI to extremely low power, always-on, battery operated IoT devices for on-device sensor data analytics in areas such as audio, voice, image and motion.

CEVA’s holistic approach to AI at the edge ensures that customers using TensorFlow Lite for Microcontrollers can utilise a unified processor architecture to run both the framework and the associated neural network workloads required to build these intelligent connected products.

CEVA’s WhisPro speech recognition software and custom command models are integrated with the TensorFlow Lite framework, further accelerating the development of small footprint voice assistants and other voice controlled IoT devices.