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Quotables

  • "I can’t get enough of Fire HD 10’s hands-free Alexa feature."

    Jeffrey Van Camp, wired.com
  • "Last year, we introduced Alexa hands-free on the Fire HD 10 and customers are loving it—in fact, the Fire HD 10 is now our highest-rated Fire tablet"

    Kevin Keith, Amazon Devices General Manager
  • "Faceprint and Voiceprint on the LG V30, they both work really well. I especially like the ‘Face Unlock’ feature."

    Joe Fedewa, Phandroid
  • "The most exciting addition to the Fire HD 10 is the "Alexa Hands-free" mode."

    Mashable
  • "Using Alexa on the Fire HD 10 (2017) is just as easy as it is on the Echo, simply utter her name and then ask or command."

    Simon Hill, TechRadar
  • "The Ecobee4 is the new smart thermostat to beat (Nest who?) "

    CNet
  • "Even with music blaring, the Sonos One will recognize the Alexa hotword without you having to shout"

    Chris Welch, The Verge
  • "LG has provided various security options so you don’t have to use the fingerprint scanner if you don’t want. You can also unlock the phone with your face, the old school Knock Code or even your voice."

    Chris Martin, TechAdvisor
  • "The Moto Z2 Play takes voice commands a step further...you can do things with a “show me” command...without unlocking or even touching the phone. It only works with my voice for security."

    Dan Seifert, The Verge
  • VoiceGenie users will be able to chat with Google Assistant, Siri, Cortana, or Alexa anywhere -- totally hands-free. You just speak the wake word.

    CNet
  • Ecobee4 Review: The First Smart Thermostat with Alexa

    Tom's Guide
  • VoiceGenie, a solution that allows most wireless headphones to utilize the power of Amazon’s Alexa on the go

    Android Headlines
  • VoiceGenie delivers low-powered speech recognition technology to wireless headphones and headsets.

    Wearable
  • VoiceGenie could change the way we interact with the devices already firmly embedded in our lives -- and it could make voice assistants just as integral.

    CNet
  • Amazon is relying on voice models that are key components of Sensory’s speech recognition suite.

    Business Intelligence
  • Sensory is enabling what it calls “wakeup words” — that is, terms and phrases that trigger the always-on listening that is a hallmark of assistants like Google Now and Siri — on devices that integrate Amazon’s Alexa.

    Digital Trends
  • Sensory, which focuses on voice recognition, teams up with Alexa's creators to make it easier for third-party developers to create voice-activated devices.

    CNET
  • Sensory won Best Innovation in Deep Learning at the Alconics awards; First Place in Mobile Security and Privacy at the CTIA Emerging Technology (E-Tech) Awards; and Star Performer at the Speech Industry Awards, where CEO Todd Mozer also won a Luminary Award.

    FindBiometrics
  • Samsung Partners With Sensory For Face/Voice Biometrics

    AndroidHeadlines.com
  • Say out loud 'GoPro, start recording' and the camera starts recording, no fuzzing with buttons.

    Geoffrey Fowler, Wall Street Journal
  • …it works well even at a distance. You just shout "okay Garmin," the lights on the camera will blink, and then you can tell it to do things like start or stop recording, or take a photo.

    The Verge
  • Huawei also created this cool feature to help you find your phone more quickly. It’s called voice wake up, and you can ask your phone “Where are you?” or some other phrase, and your phone will respond, saying, “I’m here,” and play music until you find it.

    Malarie Gokey, digitaltrends.com
  • The best upgrade to the controls, though, has to be voice control...The Hero5 Black understands seven languages.

    Brent Rose, Wired
  • Most notably though, this new shooter supports voice commands, letting you control it via phrases such as, ‘Okay Garmin, start recording.’

    Engadget
  • GoPro added voice controls for starting and stopping recordings, snapping photos and even tagging highlights in your clips by saying "That was sick!" and "Oh sh*t!" It works really well, and there are currently 10 commands and support for seven languages.

    Sean O'Kane, The Verge
  • So if the cloud’s not private, how can your TV respond to voice commands? Simple. Use speech-recognition services that are baked right into the TV – no cloud required.

    Ted Kritsonis, Digital Trends
  • Voice commands are where both Hero 5 cameras flex their smarts.

    Geoffrey Fowler, Wall Street Journal
  • One of the coolest features on the Garmin VIRB Ultra 30 is the ability to use your voice to control the camera.

    ZDNet
  • Of particular interest is the fact that TrulySecure is an on-device biometric identification system that does not rely on a connection to the cloud. Many users prefer this approach because they do not wish for their biometric data to be replicated and stored outside of their personal devices.

    Max Maxfield, EE Times
  • TrulySecure works by watching and listening as you repeat a passphrase a couple times. The system tracks the way your lips move and registers the unique attributes of your voice.

    Josh Ong, The Next Web
  • Given Qualcomm’s prominence as a mobile technology developer and the technological advancement on display in its latest offerings, the partnership reflects very well on the confidence the company has in Sensory’s technology.

    Alex Perala, Mobile ID World
  • With touchless control, Motorola and Google upped the ante.

    Eric Mack, CNET
  • Speech recognition company Sensory is expanding into the computer vision space with a new smartphone security client that uses both voice and face recognition to lock down your phone.

    Kevin Fitchard, Gigaom
  • MotoX is a fantastic phone with many great features. My favorite is Touchless Control… Ask it the weather, to call a friend or do a Google search, and it'll just do it, and you never have to touch the phone.

    Pete Pachal, Mashable
  • Sensory is continuing to exhibit leadership in handsfree control by allowing a secure multimodal biometric that doesn’t require touching devices to make them work.

    Dan Miller, Opus Research
  • Touchless mode...is the most useful feature [on Moto X].

    David Pogue, NY Times
  • The defining feature of the Moto X is it’s a virtual ear, always straining to hear its owner’s voice say three magic words that will rouse it to action: "Okay, Google Now."

    Steven Levy, WIRED
  • The phone [Moto X] has all the standard features expected of today’s top smartphone, with a twist: the ability to control the phone by talking to it, without lifting a finger.

    The New York Times
  • The voice-response system, called BlueGenie is surprisingly accurate for such a small device. It's better than the voice system in my Blackberry phone.

    US News and World Report
  • [BlueGenie is] an intuitive voice control system...the finest voice recognition user interface we've seen.

    Good Gear Guide
  • Sensory is trying to revolutionize voice and speech recognition by creating TrulyHandsfree, which looks to evolve our interactions with our smart devices.

    Talk Android
  • It may not seem like much, but that little detail of getting the phone to wake up via a voice command - which Sensory calls ‘TrulyHandsfree’ - is one of the trickiest.

    Mashable
  • With its dual biometric factors, AppLock comes closer to the security-and-convenience ideal than I've ever seen.

    Mike Feibus, usatoday

Sensory Brings Natural Language Understanding to the Edge with TrulyNatural

 

Ideal for Home Appliances, IoT, Set Top Box, Automobiles and More, TrulyNatural Offers a Fast and Reliable Voice Interface Without Privacy Concerns

Santa Clara, Calif., – April 18, 2019 – Sensory Inc., a Silicon Valley company dedicated to pioneering new capabilities for machine learning and embedded AI, today announced the first full feature release of TrulyNatural, the company’s embedded large vocabulary speech recognition platform, with natural language understanding. With more than 50 people-years of development and five years of beta testing behind it, TrulyNatural will help companies move beyond the cloud to create exciting products capable of natural language interaction without compromising their customers’ privacy and without the high memory cost of open source-based solutions.

In March of 2019, PCMag.com published results from a consumer survey where 40-percent of the 2,000 US consumers questioned placed privacy as their top concern related to smart home devices in their homes; far surpassing other concerns like cost, installation, product options and cross platform interoperability. Furthermore, Bloomberg published an article last week titled, “Amazon Workers Are Listening to What You Tell Alexa,” which explains that Amazon’s Alexa team does in fact pay people to listen to recordings for algorithm training purposes. The Bloomberg article quoted, “Occasionally the listeners pick up things Echo owners likely would rather stay private: a woman singing badly off key in the shower, say, or a child screaming for help. The teams use internal chat rooms to share files when they need help parsing a muddled word—or come across an amusing recording.”

Privacy has never been a hotter topic than it is today. TrulyNatural is the perfect solution for addressing these consumer concerns, because it provides devices with an extremely intelligent natural language user interface, while keeping voice data private and secure; voice requests never leave the device, nor are they ever stored.

“To benefit from the advantages afforded by cloud-based natural language processing, companies have been forced to risk customer privacy by allowing always listening devices to share voice data with the recognition service providers,” said Todd Mozer, CEO at Sensory. “TrulyNatural does not require any data to leave the device and eliminates the privacy risks associated with sending voice data to the cloud, and as an added benefit it allows product manufacturers to own the customer relationship and experience.”

TrulyNatural can provide a natural language voice UI on devices of all shapes and sizes, and can be deployed for domain-specific applications, such as home appliances, vehicle infotainment systems, set top boxes, home automation, industrial and enterprise applications, mobile apps and more. Sensory is unique in developing its speech recognizer from scratch with the goal of providing the best quality of experience in the smallest footprint. Many companies take open source solutions and resell it. Sensory explored doing this too, but found that it could create its own solution that is an order of magnitude smaller than open source options without sacrificing performance, boasting an excellent task completion rate measured at greater than 90 percent accuracy1. TrulyNatural can be as small as under 10MB in a natural language and large vocabulary setting, but it can also be scaled to support broad-domain applications like virtual assistants and call center chatbots with a virtually unlimited vocabulary. By categorizing speech into unlimited intents and entities, the natural language understanding component of the system enables intelligent interpretation of any speech and does not require scripted grammars.
“Consumer concerns over security and privacy have been growing over time and Sensory’s TrulyNatural platform addresses this by embedding natural language speech recognition locally on device. As a result, TrulyNatural improves response time and delivers a high performing, more secure and reliable solution. Product manufacturers will appreciate TrulyNatural’s speech engine technology because it enables them to implement a highly valued voice experience through their own brand name and avoid surrendering customers to a potential competitor,” said Dennis Goldenson, Research Director, Artificial Intelligence and Machine Learning with SAR Insight and Consulting.
Designed to run completely on an applications processor, TrulyNatural does not require an internet connection, as all of the speech processing is done natively (at the edge), not in the cloud. It enables a safe, secure, consistent, reliable and easy to implement experience for the end-user, free of requiring any extra apps or WIFI to be setup or operational. By combining TrulyNatural with other Sensory technologies, such as TrulyHandfreewake words, product manufacturers can further enhance the user experience offered by their products by utilizing their own branded wake words, or even let the customer create their own. Furthermore, device manufacturers can bolster the security of their devices by pairing TrulyNatural with TrulySecure to restrict user access or features through voice biometrics.

As an added bonus, TrulyNatural can be combined with other Sensory technologies to unlock powerful features and capabilities. These technologies include:

  • TrulyHandsfree custom branded always listening wake words
  • Seamless enrollment of regular users
  • TrulySecure speaker identification and verification
  • TrulySecure face and/or voice biometrics
  • Sound identification

TrulyHandsfree TrulyNatural currently supports US English, with UK English, French, German, Italian, Japanese, Korean, Mandarin Chinese, Portuguese, Russian and Spanish planned for release in 2019 and 2020. SDK’s are available for Android, iOS, Windows, Linux and other leading platforms.

For more information about this announcement, Sensory or its technologies, please contact sales@sensory.com ; Press inquiries: press@sensory.com.

About Sensory Inc.
Sensory Inc. creates a safer and superior UX through vision and voice technologies. Sensory’s technologies are widely deployed in consumer electronics applications including mobile phones, automotive, wearables, toys, IoT and various home electronics. With its TrulyHandsfree™ voice control, Sensory has set the standard for mobile handset platforms’ ultra-low power “always listening” touchless control. To date, Sensory’s technologies have shipped in over a billion units of leading consumer products.

TrulyNatural is a trademark of Sensory Inc.

1: A home appliance task was analyzed through a spectrum of accented US English speakers across a mix of distances (1-10 ft) with a variety of background noise sources and levels representing realistic home conditions. Tasks included cooking methods, timers, time periods, food types and other possible functions (reset, stop, open/close, etc.) and users were not instructed on things they could or couldn’t request. Multiple types of entities and intents were chosen through NLU and one or more errors from a single phrase would be counted as an error, such that only completely correct interpretations were counted as accurate task completions. Garbage phrases that were ignored were counted as correct, any action taken on a garbage phrase was counted as failure. The task completion rate was measured at over 90% accurate.