Renesas / Cyberon Speech Recognition


Traditional voice or speech recognition technology is based on a trained model with specific words or phrases. Natural language processing is word-order independent. This requires large computing power to run the real time data through a neural network. The Cyberon approach is different, allowing the algorithms to run on a small, general purpose MCU. Click here to read more. » read more

How Secure Is Your Face?


Biometric security, which spans everything from iris scans to fingerprint sensors, is undergoing the same kind of race against hackers as every other type of sensor. While most of these systems work well enough to identify a person, there are a number of well-known ways to defeat them. One is simply to apply newer technology to cracking algorithms used inside these devices. Improvements in p... » read more

Machine Learning Inferencing Moves To Mobile Devices


It may sound retro for a developer with access to hyperscale data centers to discuss apps that can be measured in kilobytes, but the emphasis increasingly is on small, highly capable devices. In fact, Google staff research engineer Pete Warden points to a new app that uses less than 100 kilobytes for RAM and storage, creates an inference model smaller than 20KB, and which is capable of proce... » read more

Aspinity’s Analog Neural Net Wake-Up Call


Putting an analog chip in front of an always-on system for digitizing speech and having the analog chip listen for sounds of interest may help avoid huge power waste and data congestion in current voice-recognition systems. Aspinity, an analog neuromorphic semiconductor startup, has worked the problem and just announced its Reconfigurable Analog Modular Processor (RAMP) platform yesterday. RAMP... » read more

The New Voice Of The Embedded Intelligent Assistant


As intelligent assistance is becoming vital in our daily lives, the technology is taking a big leap forward. Recognition Technologies & Arm have published a white paper that provides technical insight into the architecture and design approach that’s making the gateway a more powerful, efficient place for voice recognition. Some topics covered include: Why knowing who is speaking is i... » read more

What Was Everywhere At CES? Voice.


I still don’t know why I’d ever want a voice-enabled washing machine, but the display in the Samsung booth with voice recognition for appliances was indicative of one of the strongest trends at this year’s Consumer Electronics Show in Las Vegas. Everything is becoming voice enabled. Samsung has Bixby, Amazon has Alexa, Google has “Hey Google,” and Apple has Siri. These big-name voi... » read more

AI Technology Is Changing Voice Recognition


It was one thing when some of Amazon’s voice-enabled Alexa devices picked up children’s voices and then ordered goods online. It was another thing altogether when families watching television coverage of that story found that their Amazon devices ordered those same products because they heard the reference on the news report. Ah, the unintended consequences of powerful voice recognition ... » read more

Voice Recognition’s Role In Safer, More Secure Car Design


By Soshun Arai, ARM, and Mark Sykes, Recognition Technologies Look around the dashboard of a modern car and you will see dials, buttons and knobs everywhere. While each has its own purpose, they can confuse and distract people, especially when a driver should be paying attention to the road. Add to this new laws that promise harsher punishments for drivers using mobile devices, and you can s... » read more

Power, Performance And Electronic Surveillance


The disclosure that smart TVs can be used as for surveillance purposes is hardly a revelation. Makers of these devices have been advertising gesture recognition features for several years. Far from being evil, TV makers were responding to market research that showed voice inputs were a good way to boost sales in a saturated digital TV market. They added cameras so buyers could wave their han... » read more

Power/Performance Bits: Feb. 14


Electronics for Venus A team of scientists at NASA's Glenn Research Center in Cleveland demonstrated the first prolonged operation of electronics in the harsh conditions found on Venus. Current Venus landers can only operate on the planet's surface for a few hours due to the extreme atmospheric conditions. The surface temperature on Venus is nearly 860 degrees Fahrenheit, and the planet h... » read more

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