{"id":401802,"date":"2020-12-17T08:30:20","date_gmt":"2020-12-17T13:30:20","guid":{"rendered":"http:\/\/www.marketnewsdesk.com\/?p=401802"},"modified":"2020-12-17T08:30:20","modified_gmt":"2020-12-17T13:30:20","slug":"aspinity-releases-analog-voice-first-evaluation-kit-for-battery-operated-devices","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/aspinity-releases-analog-voice-first-evaluation-kit-for-battery-operated-devices\/","title":{"rendered":"Aspinity Releases Analog Voice-First Evaluation Kit for Battery-Operated Devices"},"content":{"rendered":"
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–Analog machine learning drives new generation of always-listening products with extended battery life<\/p>\n

PITTSBURGH, Dec. 17, 2020 (GLOBE NEWSWIRE) — Aspinity<\/a>, a pioneer in ultra-low-power analog machine learning (AnalogML\u2122) processors, today launched its Voice-First Evaluation Kit (EVK2), a complete hardware\/software development kit that demonstrates Aspinity\u2019s 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\u2014without compromising system accuracy.<\/p>\n

\n Aspinity\u2019s EVK2<\/strong>\n <\/p>\n

The EVK2 features the latest generation of Aspinity\u2019s Reconfigurable Analog Modular Processor (RAMP\u2122) chip. As the world\u2019s first implementation of compact, ultra-low power analogML, the RAMP chip introduces a new architectural approach to system design that improves battery life in edge devices. In contrast to alternative always-listening system architectures\u2014which digitize all sound data, relevant or not, before wake word analysis\u2014the RAMP chip uses near-zero power to analyze raw, unstructured analog microphone data at the start of the signal chain to determine if voice is present prior to triggering the wake word engine. Since up to 90% of the sound data captured within a day is not voice, the RAMP chip\u2019s analyze-first<\/em> approach minimizes the power-on time of the analog-to-digital converter (ADC) and wake word engine (WWE), increasing battery life by up to 10x. The RAMP chip is also the first analog voice wake up solution to continuously collect and compress (into ~2kB of memory) the 500ms of sound prior to the wake word (preroll) that is required by most WWEs in order to accurately determine that a command has been spoken.<\/p>\n

The Voice-First EVK2 features:<\/p>\n