The NDP120 applies neural processing to run multiple applications simultaneously with minimal battery power consumption, including echo-cancellation, beamforming, noise suppression, speech enhancement, speaker identification, keyword spotting, multiple wake words, event detection, and local commands recognition.
“The NDP120 is the first of a family of semiconductors using our next generation Syntiant Core 2 tensor processor platform that brings performance levels previously found in plugged-in devices to a power level suitable to run on batteries,” said Kurt Busch, CEO of Syntiant. “We took years of real world, low-power edge deep learning experience to develop this architecture into a scalable design optimized to bring neural processing to power constrained deployments.”
Syntiant’s NDP120 brings always-on neural processing to all types of consumer products, including mobile phones, earbuds, wearables, smart speakers, laptops, smart home applications and security devices.
Intended for use cases where audio filtering and echo cancelation are required for far-field speech processing, the NDP120 packages the Syntiant Core 2, a highly flexible, ultra-low-power deep neural network inference engine, with a highly configurable audio front-end interface. The NDP120 also supports multi-modal sensor fusion, including sensors for infrared detection, multi-axis acceleration, tilt, magnetic field, and pressure.
The Syntiant Core 2 moves larger neural networks into always-on domains with capacity to generate shared embeddings, run ensembles, and other neural architectures concurrently or in cascades. The Syntiant Core 2 is a tensor processing core built from the ground up to support energy efficient inference without compromising ease of programming.
This second generation architecture delivers 25x the tensor throughput of the Syntiant Core 1 found in the Syntiant NDP100 and Syntiant NDP101 devices that are currently shipping in high volumes.