DSP Cores & Voiceware Extend A Hand To MCUs

By Mat Dirjish

CEVA’s CEVA-BX DSP cores and WhisPro speech recognition software now supports TensorFlow Lite for Microcontrollers (MCUs), 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 artificial intelligence (AI) to low-power, always-on battery-powered 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 users of TensorFlow Lite for Microcontrollers can employ a unified processor architecture to run both the framework and the associated neural network workloads required to build 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. For greater illumination, peruse the CEVA-BX DSP overview and WhisPro speech recognition software.

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