Syntiant  Always-On Speech & Audio

Recognition Processors


NDP100 Neural Decision Processor™

Ultra-Low-Power Consumption

Micro-watt level active power consumption, while always-on and listening

Keyword Speech Interface

The Syntiant NDP architecture is built from the ground up to run deep learning algorithms. The NDP100 achieves breakthrough performance by highly coupled computation and memory, exploiting the vast inherent parallelism of deep learning and computing at only required numerical precision. The devices combine these elements to achieve approximately 100x efficiency improvement over stored program architectures such as CPUs and DSPs.

Compact Size

Neural Processing

Neural network with over half a million parameters providing large scale parallelism for sensor-based applications
Extremely small 1.4mmx1.8mm, 12 ball WLBGA package for space-constrained applications
Created from the simultaneous classification of dozens of keywords

Ease of Use

Multiple, flexible methods to access neural processing engine where the user has full customization of applications and post-processing

The NDP100 enables speech interfaces in the smallest systems and supports entirely new form factors and usage models designed to wake up to speech rather than touch.

mobile phones • ear buds and hearing aids • bluetooth headsets • smart watches • IoT endpoints • remote controls • smart speakers ​


Key Features

12 ball WLBGA package for extremely space constrained environments

Dual PDM microphone input or PCM-over-SPI input

Stereo/mono I2S interface multiplexed with PDM

Direct access to neural network over SPI for sensor applications

Frequency, time-domain & batch input models

16-bit input holding tank with faster than real-time SPI extraction

General purpose Arm Cortex-M0 processor 128 KB SRAM 


Integrated clock multiplier and dividers support low frequency clock source or external clocking

Optimized interrupt and SPI slave interface

Onboard firmware security and authentication 

English Speech Service for keyword training

Software Development Kit (SDK) integrates in any software environment

Training Development Kit (TDK) to enable the user of standard frameworks such as TensorFlow  for customer-programmed applications

Support for 64 output classifications

Active power consumption of <140 μW while recognizing words

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