Archive for the ‘Mobile Phones’ Category
April 18, 2019
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.
As an added bonus, TrulyNatural can be combined with other Sensory technologies to unlock powerful features and capabilities. These technologies include:
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.
About Sensory Inc.
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.
September 28, 2017
Finovate is one of those shows where you get up on stage and give a short intro and live demo. They are selective in who they allow to present and many applicants are rejected. Sensory demonstrated some really cutting-, perhaps bleeding-, edge stuff by combining animated talking avatars, with text-to-speech, lip movement synchronization, natural language speech recognition and face and voice biometrics. I don’t know of any company ever combining so many AI technologies into a single product or demo!
Speech recognition has a long history of failing on stage, and one of the ways Sensory has always differentiated itself, is that our demos always work! And all our AI technologies worked here too! Even with bright backlighting, our TrulySecure face recognition was so fast and accurate some missed it. With the microphones and echo’s in the large room, our TrulyNatural speech recognition was perfect! That said, we did have a user-error… before Jeff and I got on stage he put his demo phone in DND mode, which cut our audio output – but quickly recovered from that mishap.
September 15, 2017
On the same day that Apple rolled out the iPhone X on the coolest stage of the coolest corporate campus in the world, Sensory gave a demo of an interactive talking and listening avatar that uses a biometric ID to know who’s talking to it. In Trump metrics, the event I attended had a few more attendees than Apple.
Interestingly, Sensory’s face ID worked flawlessly, and Apple’s failed. Sensory used a traditional camera using convolutional neural networks with deep learning anti-spoofing models. Apple used a 3D camera.
There are many theories about what happened with FaceID at Apple. Let’s discuss what failure even means and the effects of 2D versus 3D cameras. There are basically three classes of failure: accuracy, spoofability, and user experience. It’s important to understand the differences between them.
It’s easy to reach one in a million or one in a billion FAs by making it FR all of the time. For example, a rock will never respond to the wrong person… it also won’t respond to the right person! This is where Apple failed. They might have had amazing false accepts rates, but they hit two false rejects on stage!
I believe that there is too much emphasis placed on FA. The presumption is random users trying to break in, and 1 in 50,000 seems fine. The break-in issue typically relates to spoofability, which needs to be thought of in a different way – it’s not a random face, it’s a fake face of you.
Every biometric that gets introduces gets spoofed. Gummy bears, cameras, glue, and tape were all used to spoof fingerprints. Photos, masks, and videos have been used to spoof faces.
To prevent this, Sensory built anti-spoof models that weaken the probability of spoofing. 3D cameras also make it easier to reduce spoofs, and Apple moved in the right direction here. But the real solution is to layer biometrics, using additional layers when more security is needed.
Apple misfires on UX?
Apple set the FA so high on FaceID that it hurt the consumer experience by rejecting too much, which is what we saw on stage. But there’s more to it in the tradeoffs.
The easiest way to prevent spoofing is to get the user to do unnatural things, live and randomly. Blinking was a less intrusive version that Google and others have tried, but a photo with the eyes cut out could spoof it.
Having people turn their face, widen their nostrils, or look in varying directions might help prevent spoofing, but also hurt the user experience. The trick is to get more intrusive only when the security needs demand it. Training the device is also part if the user experience.
January 5, 2017
Virtual handsfree assistants that you can talk to and that talk back have rapidly gained popularity. First, they arrived in mobile phones with Motorola’s MotoX that had an ‘always listening’ Moto Voice powered by Sensory’s TrulyHandsfree technology. The approach quickly spread across mobile phones and PCs to include Hey Siri, OK Google, and Hey Cortana.
Then Amazon took things to a whole new level with the Echo using Alexa. A true voice interface emerged, initially for music but quickly expanding domain coverage to include weather, Q&A, recipes, and the most common queries. On top of that, Amazon took a unique approach by enabling 3rd parties to develop “skills” that now number over 6000! These skills allow Amazon’s Echo line (with Tap, Dot) and 3rd Party Alexa equipped products (like Nucleus and Triby) to be used to control various functions, from reading heartrates on Fitbits to ordering Pizzas and controlling lights.
Until recently, handsfree assistants required a certain minimum power capability to really be always on and listening. Additionally, the hearable market segment including fitness headsets, hearing aids, stereo headsets and other Bluetooth devices needed to use touch control because of their power limitations. Also, Amazons Alexa had required WIFI communications so you could sit on your couch talking to your Echo and query Fitbit information, but you couldn’t go out on a run and ask Alexa what your heartrate was.
All this is changing now with Sensory’s VoiceGenie!
The VoiceGenie runs an embedded recognizer in a low power mode. Initially this is on a Qualcomm/CSR Bluetooth chip, but could be expanded to other platforms. Sensory has taken an SBC music decoder and intertwined a speech recognition system, so that the Bluetooth device can recognize speech while music is playing.
The VoiceGenie is on and listening for 2 keywords:
For example, a Bluetooth headset’s volume, pairing, battery strength, or connection status can only be controlled by the device itself, so VoiceGenie handles those controls without touching required. VoiceGenie can also read incoming callers’ names and ask the user if they want to answer or ignore. VoiceGenie can call up the phone’s assistant, like Google Assistant or Siri or Cortana, to ask by voice for a call to be made or a song to be played.
Some of the important facts behind the new VoiceGenie include:
This third point is perhaps the least understood, yet the most important. People want a personalized assistant that knows them, keeps their secrets safe, and helps them in their daily lives. This help can be accessing information or controlling your environment. It’s very difficult to accomplish this for privacy and power reasons in a cloud powered environment. There needs to be embedded intelligence. It needs to be low power. VoiceGenie is that low powered voice assistant.
October 6, 2016
It’s always nice when Sensory wins an award. 2016 has been a special year for Sensory because we won more awards than any other year in our 23 year history!!
Check it out:
Sensory Earns Multiple Coveted Awards in 2016
Sensory Inc., a Silicon Valley company that pioneered the hands-free voice wakeup word approach, today, announced it has won over half a dozen awards in 2016 across its product-line, including awards for products, technologies, and people, covering deep learning, biometric authentication and voice recognition.
The awards presented to Sensory include the following:
CTIA Super Mobility 2016™, the largest wireless event in America, announced more than 70 finalists for its 10th annual CTIA Emerging Technology (E-Tech) Awards. Sensory was nominated in the category of Mobile Security and Privacy for its TrulySecure™ technology, along with Nokia, Samsung, SAP, and others. Sensory was presented with the First Place award for the category in a ceremony on September 2016 at the CTIA Las Vegas event.
Speech Technology magazine, the leading provider of speech technology news and analysis, had its 10th annual Speech Industry Awards to recognize the creativity and notable achievements of key influencers (Luminaries), major innovators (Star Performers), and impressive deployments (Implementation Awards). The editors of Speech Technology magazine selected 2016 award winners based on their industry contributions during the past 12 months. Sensory’s CEO, Todd Mozer, was awarded with a Luminary Award, making it his second time winning the prestigious award. Sensory as a company was awarded the Star Performer award along with IBM, Amazon and others.
Two well-known industry analyst firms issued reports highlighting Sensory’s industry contributions for its TrulyHandsfree product and customer leadership, offering awards for innovations, customer deployment, and strategic leadership.
“Sensory has an incredibly talented team of speech recognition and biometrics experts dedicated to advancing the state-of-the-art of each respective field. We are pleased that our TrulyHandsfree, TrulySecure and TrulyNatural product lines are being recognized in so many categories, across the various industries in which we do business,” said Todd Mozer, CEO of Sensory. “I am also thrilled that Sensory’s research and innovations in the deep learning space has been noticed, generating our company prestigious accolades and management recognition.”
September 9, 2016
We are pleased to announce that Sensory’s TrulySecure technology has earned first place in this year’s CTIA E-Tech Awards. We believe that this recognition serves as a testament to Sensory’s devotion to developing the best embedded speech recognition and biometric security technologies available.
For those of you unfamiliar with TrulySecure – TrulySecure is the result of more than 20 years of Sensory’s industry leading and award-winning experience in the biometric space. The TrulySecure SDK allows application developers concerned about both security and convenience to quickly and easily deploy a multimodal voice and vision authentication solution for mobile phones, tablets, and PCs. TrulySecure is highly secure, environment robust, and user friendly – offering better protection and greater convenience than passwords, PINs, fingerprint readers and other biometric scanners. TrulySecure offers the industry’s best accuracy at recognizing the right user, while keeping unauthorized users out. Sensory’s advanced deep learning neural networks are fine tuned to provide verified users with instant access to protected apps and services, without the all too common false rejections of the right user associated with other biometric authentication methods. TrulySecure features a quick and easy enrollment process – capturing voice and face simultaneously in a few seconds. Authentication is on-device and almost instantaneous.
TrulySecure provides maximum security against unauthorized attempts by mobile identity thieves from breaking into a protected mobile device, while ensuring the most accurate verification rates for the actual user. Compared to published data by Apple, the iPhone’s thumbprint reader offers about in 1:50K chance of a false accept of the wrong user, and the probability of the wrong user getting into the device gets higher when the user enrolls more than one finger. With TrulySecure, face and voice biometrics individually offer a baseline 1:50k false accept rate, but can each be made more secure depending on the security needs of the developer. When both face and voice biometrics are required for user authentication, TrulySecure is virtually impenetrable by anybody but the actual user. As a baseline, TrulySecure’s face+voice authentication offers a baseline of 1:100k False Accept Rate, but can be dialed in to offer as much as a 1:1Million False Accept Rate depending on security needs.
TrulySecure is robust to environmental challenges such as low light or high noise – it works in real-life situations that render lesser offerings useless. The proprietary speaker verification, face recognition, and biometric fusion algorithms leverage Sensory’s deep strength in speech processing, computer vision, and machine learning to continually make the user experience faster, more accurate, and more secure. The more the user uses TrulySecure, the more secure it gets.
TrulySecure offers ease-of-mind specifications: no special hardware is required – the solution uses standard microphones and cameras universally installed on today’s phones, tablets and PCs. All processing and encryption is done on-device, so personal data remains secure – no personally identifiable data is sent to the cloud. TrulySecure was also the first biometric fusion technology to be FIDO UAF Certified.
While we are truly honored to be the recipient of this prestigious award, we won’t rest on our laurels. Our engineers are already working on the next generation of TrulySecure, further improving accuracy and security, as well as refining the already excellent user experience.
Guest blog by Michael Farino
August 22, 2016
Sensory is proud to announce that it has been awarded with two 2016 Speech Tech Magazine Awards. With some stiff competition in the speech industry, Sensory continues to excel in offering the industry’s most advanced embedded speech recognition and speech-based security solutions for today’s voice-enabled consumer electronics movement.
The 2016 Speech Technology Awards include:
Speech Luminary Award – Awarded to Sensory’s CEO, Todd Mozer
“What really impresses me about Todd is his long commitment to speech technology, and specifically, his focus on embedded and small-footprint speech recognition,” says Deborah Dahl, principal at Conversational Technologies and chair of the World Wide Web Consortium’s Multimodal Interactions Working Group. “He focuses on what he does best and excels at that.”
Star Performers Award – Awarded to Sensory for its contributions in enabling voice-enabled IoT products via embedded technologies
“Sensory has always been in the forefront of embedded speech recognition, with its TrulyHandsfree product, a fast, accurate, and small-footprint speech recognition system. Its newer product, TrulyNatural, is ground- breaking because it supports large vocabulary speech recognition and natural language understanding on embedded devices, removing the dependence on the cloud,” said Deborah Dahl, principal at Conversational Technologies and chair of the World Wide Web Consortium’s Multimodal Interactions Working Group. “While cloud-based recognition is the right solution for many applications, if the application must work regardless of connectivity, embedded technology is required. The availability of TrulyNatural embedded natural language understanding should make many new types of applications possible.”
– Guest Blog by Michael Farino
March 28, 2016
Just saw an interesting article on www.eweek.com
Covers a consumer survey about being connected and particularly with IoT devices. What’s interesting is that those surveyed were technically savvy (70% were self-described as intermediate or advanced with computers, and 83% said they could set up their own router), yet the survey found:
1) 68 percent of consumers expressed concern about security risks such as viruses, malware and hackers;
These concerns are quite understandable, since we as consumers tend to give away many of our data rights in return for free services and software.
People have asked me if embedded speech and other embedded technologies will continue to persist if our cloud connections get better and faster, and the privacy issues are one of the reasons why embedded is critical.
This is especially true for “always on” devices that listen for triggers; if the always on listening is in the cloud, then everything we discuss around the always on mics goes into the cloud to be analyzed and potentially collected!
October 1, 2015
Todd Mozer’s interview with Martin Wasserman on FutureTalk
August 6, 2015
We first came out with TrulyHandsfree about five years ago. I remember talking to speech tech executives at MobileVoice as well as other industry tradeshows, and when talking about always-on hands-free voice control, everybody said it couldn’t be done. Many had attempted it, but their offerings suffered from too many false fires, or not working in noise, or consuming too much power to be always listening. Seems that everyone thought a button was necessary to be usable!
In fact, I remember the irony of being on an automotive panel, and giving a presentation about how we’ve eliminated the need for a trigger button, while the guy from Microsoft presented on the same panel the importance of where to put the trigger button in the car.
Now, five years later, voice activation is the norm… we see it all over the place with OK Google, Hey Siri, Hey Cortana, Alexa, Hey Jibo, and of course if you’ve been watching Sensory’s demos over the years, Hello BlueGenie!
Sensory pioneered the button free, touch free, always-on voice trigger approach with TrulyHandsfree 1.0 using a unique, patented keyword spotting technology we developed in-house– and from its inception, it was highly robust to noise and it was ultra-low power. Over the years we have ported it to dozens of platforms, Including DSP/MCU IP cores from ARM, Cadence, CEVA, NXP CoolFlux, Synopsys and Verisilicon, as well as for integrated circuits from Audience, Avnera, Cirrus Logic, Conexant, DSPG, Fortemedia, Intel, Invensense, NXP, Qualcomm, QuickLogic, Realtek, STMicroelectronics, TI and Yamaha.
This vast platform compatibility has allowed us to work with numerous OEMs to ship TrulyHandsfree in over a billion products!
Sensory didn’t just innovate a novel keyword spotting approach, we’ve continually improved it by adding features like speaker verification and user defined triggers. Working with partners, we lowered the draw on the battery to less than 1mA, and Sensory introduced hardware and software IP to enable ultra-low-power voice wakeup of TrulyHandsfree. All the while, our accuracy has remained the best in the industry for voice wakeup.
We believe the bigger, more capable companies trying to make voice triggers have been forced to use deep learning speech techniques to try and catch up with Sensory in the accuracy department. They have yet to catch up, but they have grown their products to a very usable accuracy level, through deep learning, but lost much of the advantages of small footprint and low power in the process.
Sensory has been architecting solutions for neural nets in consumer electronics since we opened the doors more than 20 years ago. With TrulyHandsfree 4.0 we are applying deep learning to improve accuracy even further, pushing the technology even more ahead of all other approaches, yet enabling an architecture that has the ability to remain small and ultra-low power. We are enabling new feature extraction approaches, as well as improved training in reverb and echo. The end result is a 60-80% boost in what was already considered industry-leading accuracy.
I can’t wait for TrulyHandsfree 5.0…we have been working on it in parallel with 4.0, and although it’s still a long ways off, I am confident we will make the same massive improvements in speaker verification with 5.0 that we are doing for speech recognition in 4.0! Once again further advancing the state of the art in embedded speech technologies!