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!
February 22, 2016
Recently Peter O’Niel at FindBiometrics interviewed our CEO Todd Mozer about Sensory’s recent announcement of TrulySecure 2.0, check out the interview here: FindBiometrics
Summary: The industry is embracing biometrics faster than ever and many CE companies and app developers are embracing face and voice biometrics to improve user experience and bolster security. Face and voice offers significant advantages over other biometric modalities, notably when it comes to convenience, and particularly in the case of our TrulySecure technology, accuracy and security.
Sensory’s TrulySecure technology has evolved dramatically since its release and recently we announced TrulySecure 2.0 that actually utilizes real world usage data collected from our “AppLock by Sensory” app on the Google Play store. By applying what we learned with AppLock, we were able to adapt a deep learning approach using convolutional neural networks to improve the accuracy of our face authentication. Additionally, we significantly improved the performance of our speaker verification in real world conditions by training better neural nets based on the collected data.
Overall, we have been able to update TrulySecure’s already excellent performance to be even better! The solution is now faster, smarter and more secure, and is the most accurate face and voice biometrics solution available.
December 8, 2015
I saw an interesting press release titled “EyeVerify Gets Positive Feedback From Curious Users”. I know this company as a fellow biometrics vendor selling into some of the same markets as Sensory. I also knew that their Google Playstore rating hovered around a 3/5 rating while our AppLock app hits around a 4/5 rating, so I was curious about what this announcement meant. It made me think of the power of all the data in the Google Playstore, and I decided to take a look at biometric ratings in general to see if there were any interesting conclusions.
Here’s my methodology…I conducted searches for applications in Google Play that use biometrics to lock applications or other things. I wanted the primary review to relate to the biometric itself, so I excluded “pranks” and other apps that provided something other than biometric security. I also rejected apps with less than 5,000 downloads to insure that friends, employees and families weren’t having a substantive effect on the ratings. I ran a variety of searches for four key biometrics: Eyes, Face, Fingerprint and Voice.
I did not attempt to exhaust the entire list of biometric apps, I searched under a variety of terms until I had millions of downloads for each category with a minimum of 25,000 reviews for each category. The “eye” was the only biometric category that couldn’t meet this criteria, as I had to be satisfied with 6,884 reviews. Here’s a summary chart of my findings:
As you can see, this shows the total number of downloads, the total number of apps/companies, the number of reviews and the avg rating of reviews per biometric category. So, for example, Face had 11 applications with 1.75 million total downloads and just over 25,000 reviews with an average review rating of 3.89.
What’s most interesting to me about the findings is that it points to HIGHER RATINGS FOR EASIER TO USE BIOMETRICS. This is a direct correlation as Face comes in first and is clearly the easiest biometric to use Voice is somewhat more intrusive as a user must speak, and the rating drops by .16 to 3.73, though this segment does seem to receive the most consumer interest with more than 5-million downloads. Finger is today’s most common biometric but is often criticized by its 2-hand requirement and that it often fails, requiring users to re-swipe, consumer satisfaction with fingerprint is about 3.67. Eye came in last, albeit with the least data, but numbers don’t lie, and the average consumer rating for that biometric comes in at about 3.42. If you consider the large number of reviews in this study and the narrow range of review scores (which typically range from 2.5 to 4.5), the statistically significant nature becomes apparent.
The results were not really a surprise to me. When we first developed TrulySecure, it was based on the premise that users wanted a more convenient biometric without sacrificing security, so we focused on COMBINING the two most convenient biometrics (face and voice) to produce a combined security that could match the most stringent of requirements.
November 12, 2015
A really smart guy told me years ago that neural networks would prove to be the second best solution to many problems. While he was right about lots of stuff, he missed that one! Out of favor for years, neural networks have enjoyed a resurgence fueled by advances in deep machine learning techniques and the processing power to implement them. Neural networks are now seen to be the leading solution to a host of challenges around mimicking how the brain recognizes patterns.
Google’s Monday announcement that it was releasing its TensorFlow machine learning system on an open-source basis underscores the significance of these advances, and further validates Sensory’s 22 year commitment to machine learning and neural networks. TensorFlow is intended to be used broadly by researchers and students “wherever researchers are trying to make sense of very complex data — everything from protein folding to crunching astronomy data”. The initial release of TensorFlow will be a version that runs on a single machine, and it will be put into effect for many computers in the months ahead, Google said.
Microsoft also had cloud-based machine learning news on Monday, announcing an upgrade to Project Oxford’s facial recognition API launched in May specifically for the Movember Foundation’s no-shave November fundraising effort: a facial hair recognition API that can recognize moustache and beard growth and assign it a rating (as well as adding a moustache “sticker” to the faces of facial hair posers).
Project Oxford’s cloud-based services are based on the same technology used in Microsoft’s Cortana personal assistant and the Skype Translator service, and also offer emotion recognition, spell check, video processing for facial and movement detection, speaker recognition and custom speech recognition services.
While Google and Microsoft have announced some impressive machine-learning capabilities in the cloud, Sensory uniquely combines voice and face for authentication and improved intent interpretation on device, complementing what the big boys are doing.
From small footprint neural networks for noise robust voice triggers and phrase-spotted commands, to large vocabulary recognition leveraging a unique neural network with deep learning that achieves acoustic models an order of magnitude smaller than the present state-of-the-art, to convolutional neural networks deployed in the biometric fusion of face and voice modalities for authentication, all on device and not requiring any cloud component, Sensory continues to be the leader in utilizing state-of-the-art machine learning technology for embedded solutions.
Not bad company to keep!
October 16, 2015
I saw a LinkedIn message to one of the biometrics groups in which I’m a member linking to a new video on biometrics:
I was quite surprised to see that I am actually in it!
It’s a great topic…Banks turning to biometrics. The video doesn’t talk too much about what’s really happening and why, so I’ll blog about a few salient points, worthy of understanding:
1) Passwords are on their deathbed. This is old news and everyone gets it, but worthy of repeating. Too easy to crack and/or too hard to remember
2) Mobile is everything, and mobile biometrics will be the entry point. Our mobile phones will be the tools to control and open a variety of things. Our phones will know who we are and keep track of the probability of that changing as we use them. Mobile banking apps will be accessed through biometrics and that will allow us to not only check balances, but pay or send money or speed ATM transactions.
3) EMV credit cards are here…Biometric credit confirmation is next! Did you get a smart card from your bank? Europay, Visa, and MasterCard decided to improve fraud by shifting fraud risk based on security implemented. Smart cards are now, biometrics will be added to aid fraud prevention.
4) It’s all about convenience & security. So much focus has been on security that convenience was often overlooked. There was a perception that you can’t have both! With Biometrics you actually can have an extremely fast and convenient solution that is highly accurate.
5) Layered biometrics will rule. Any one biometric or authentication approach in isolation will fail. The key is to layer a variety of authentication techniques that enhance the systems security but don’t hurt convenience. Voice and face authentication can be used together, passwords can be thrown on top if the biometric confirmation is unsure, tokens or fingerprint or iris scans can also be deployed if the security isn’t high enough. The key is knowing the accuracy of match and increasing the security to the desired security level in a stepped function so as to maximize user convenience.
October 1, 2015
Todd Mozer’s interview with Martin Wasserman on FutureTalk
August 26, 2015
Guest post: Sensory’s Marketing Team
The editors of Inc. identified Sensory as one of America’s fastest growing companies. The annual ranking of the 5,000 fastest-growing private companies in the United States put Sensory at 3,301 on the list with over 100% growth over three years and 30 new jobs added.
Sensory has a breadth of software products on the market contributing to its growth including TrulyHandsfree, TrulySecure and TrulyNatural, and can be found in over a billion consumer electronics devices around the world.
Congratulations to the Sensory team for making the Inc 5000 list this year!
Sensory Wins Coveted 2015 Speech Technology Magazine’s Industry Star Performer Award for TrulyNatural
August 11, 2015
Guest post by: Sensory’s Marketing Department:
For the second year in a row, Sensory earns Speech Technology Magazine’s Industry Star Performer Award! Having won the award in 2014 for TrulySecure Speaker Verification and for TrulyHandsfree 3.0, Speech Technology Magazine awarded Sensory the 2015 Speech Industry Star Performer Award for its recently released TrulyNatural technology.
TrulyNatural is a major leap forward for client-based speech recognition and is the first embedded large-vocabulary deep neural nets speech recognition platform capable of supporting natural language. TrulyNatural is a scalable solution that can be implemented on highly constricted devices, supporting hundreds of phrases, with a footprint of under a megabyte, or as a natural language engine on devices with more available memory, like mobile devices, cars, and more.
For more information about TrulyNatural, please visit the technology page.
See official article announcing the award at: http://www.speechtechmag.com
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!
June 11, 2015
Guest post by: Michael Farino
Sensory’s CEO, Todd Mozer joined Alan Taylor, host of Popular Science Radio, in a fun discussion about artificial intelligence, Sensory’s involvement with the Jibo robot development team, and also gave the show’s listeners a look into the past 20 years of speech recognition. Todd and Alan additionally discussed some of the latest advancements in speech technology, and Todd provided an update on Sensory’s most recent achievements in the field of speech recognition as well as a brief look into what the future holds.
Listen to the full radio show at the link below:
Big Bang Theory, Science, and Robots | FULL EPISODE | Popular Science Radio #269