I was just chatting with Mark Lippett, who is CEO at the British chip company XMOS. Mark was telling me that they recently announced the launch of their XVF3610 and XVF3615 voice processors. These little beauties will power the next generation of high-performance two-microphone voice interfaces for wireless speakers, TVs, set-top boxes, smart home appliances,…
by Max Maxfield
I’m a digital logic designer by trade. In an ever-changing and increasingly unreliable world, I find the certainty of Boolean equations to be extremely reassuring. You know where you are with a Karnaugh map, you can trust a De Morgan transformation, and you can gratify your desire for single-bit transitions with a Gray code. By comparison, I find the wibbly-wobbly nature of analog electronics to be somewhat disconcerting, which is unfortunate because there’s so much of it about these days.
One of the funny things is that “analog” was supposed to be the stuff of yesteryear. When I was coming up in electronics, digital functions were expensive in terms of transistors, and transistors were expensive in terms of cold, hard cash. That’s one of the reasons why analog computers hung on for decades after their digital counterparts first arrived on the scene. It was possible to implement analog signal processing (ASP) functions using a handful o
Analog machine learning drives new generation of always-listening products with extended battery life
PITTSBURGH December 8, 2020 – Aspinity, a pioneer in ultra-low-power analog machine learning (AnalogML™) processors, today launched its Voice-First Evaluation Kit (EVK2), a complete hardware/software development kit that demonstrates Aspinity’s ultra-low-power edge processing solution for analog voice activity detection and preroll. The new EVK2 enables customers to easily integrate analog machine learning and analog data compression into battery-operated voice-enabled devices, such as hearables/wearables, smart speakers and smart TV remotes, facilitating significant power savings without compromising system accuracy.
Aspinity’s EVK2
The EVK2 features the latest generation of Aspinity’s Reconfigurable Analog Modular Processor (RAMP™) chip. As the world’s first implementation of compact, ultra-low power analogML, the RAMP chip introduces a new architectural appro
Aspinity releases analogue Voice-First Evaluation Kit Aspinity, a pioneer in ultra-low-power analogue machine learning (AnalogueML) processors, has launched its Voice-First Evaluation Kit (EVK2), a complete hardware/software development kit.
The EVK2 enables customers to integrate analogue machine learning and data compression into battery-operated voice-enabled devices, such as hearables/wearables, smart speakers and smart TV remotes, facilitating significant power savings but without compromising on system accuracy.
The kit features the latest generation of Aspinityâs Reconfigurable Analog Modular Processor (RAMP) chip, the worldâs first implementation of a compact, ultra-low power analogueML. The RAMP chip has introduced a new architectural approach to system design that improves battery life in edge devices.