CEVA Introduces Voice User Interface Solution for TI SimpleLink Wi-Fi Wireless MCUs

CEVA announced the availability of its WhisPro speech recognition and control software to support designs using the Texas Instruments (TI) SimpleLink Wi-Fi CC3235x wireless MCU family, bringing ultra-low power, robust voice user interface to connected devices. The WhisPro Software Development Kit (SDK) allows full project customization, including choice of wake words and voice commands, and runs entirely on-device, without the need for a network connection.

Ido Gus, Deep Learning Senior Team Leader at CEVA’s Sensor and Audio Business Unit, writes about voice control deployment on low power and resource constrained microcontroller-units (MCUs). The article discusses what to consider for the development of products using voice as a primary human interface, and how speech recognition models using AI technology can support a wide variety of use cases and languages, without compromising on power requirements.

CEVA introduced its 2nd generation SensPro DSP family, a hub for AI and DSP processing workloads associated with a wide range of sensors including camera, Radar, LiDAR, Time-of-Flight, microphones and inertial measurement units (IMUs). The new, lower power, SensPro2 DSPs deliver up to 10X performance improvement versus CEVA-BX2 DSP for AI networks used for voice assistants, natural language processing and spatial audio. They are also automotive-ready with high-precision floating-point capability.

CEVA announced that its CEVA-BX DSP cores and WhisPro speech recognition software now also support TensorFlow Lite for Microcontrollers, a production ready, cross-platform framework for deploying tiny machine learning on power-efficient processors in edge devices. WhisPro is CEVA's speech recognition software for voice wake words and custom command models. TensorFlow Lite for Microcontrollers is a solution from Google for implementing machine learning at the edge, already optimized and available for CEVA-BX DSP cores.