Posts Tagged ‘low power’
September 25, 2017
Several hundred articles have been written about Amazon’s new moves into Smart Glasses with the Alexa assistant. And it’s not just TechCrunch, Gizmodo, The Verge, Engadget, and all the consumer tech pubs doing the writing. It’s also places like but CNBC, USA Today, Fox News, Forbes, and many others.
I’ve read a dozen or more and they all say similar things about Amazon (difficulties in phone hardware), Google (failure in Glass), bone conduction mics, mobility for Alexa, strategy to get Alexa Everywhere, etc. But something big got lost in the shuffle.
Read more at Embedded Computing
October 10, 2011
An interesting blog post (from PC World) came out following Apple’s iPhone 4s intro with Siri. I think everyone knows what Siri is…it’s the Apple acquisition that has turned into a big part of the Apple user experience. Siri technology allows a user to not only search but control various aspects of a smartphone by voice in a “natural language” manner.
The blog post depicts a looming showdown between Sensory and Apple’s Siri. It is quite kind to Sensory, pointing out our near-flawless performance in noise and how TrulyHandsfree™ does not require button presses. While those points are true, Sensory is certainly NOT a competitor to Siri. We do partner with companies like Vlingo that might be considered a Siri competitor, but Sensory’s TrulyHandsfree is just the first part of a multi-stage process for creating a true Voice User Interface.
Here is the basic process:
It’s just that first step that Sensory does better than anyone else. However, it’s an important step that requires a few critical characteristics:
Companies like Nuance, Vlingo, Google and Microsoft are pretty good at the second step, which is a more powerful (often cloud-based) recognition system.
The third step “Understanding Meaning” is what the original Siri was all about. This was an AI component developed under DARPA funding at SRI and later spun off and acquired by Apple. Apple is rumored to be using Nuance as the “Step 2” in Siri.
Vlingo does a really nice job of implementing Steps 1-3 (using Sensory as its partner for Step 1.) I’m sure Google, Microsoft, Apple and Nuance all have efforts underway in the area of AI and natural language understanding. It’s really not that different than what they have needed for text-based “meaning” recognition during traditional searches.
The SEARCH in Step 4 is done via typical search engines (Google, Microsoft, Apple) and I’d guess Vlingo and other independent players (are there any still around???) have developed partnerships in these areas.
Step 5 is basically a good quality TTS engine. Providers like Nuance, Ivona, ATT, NeoSpeech, and Acapella all have nice TTS engines, and I believe Apple, Microsoft and Google all have in-house solutions as well!
The important point in comparing Sensory’s technology is that we provide the logical entryway to a successful Voice User Interface experience–with a lightning-fast voice trigger that replaces tactile button presses. It is a given that noise immunity and extremely high accuracy are also required, and Trulyhandsfree accomplishes this without requiring a prohibitive amount of power to function reliably and consistently.
AND…while we appreciate the comparison to the most profitable company on the planet, we’d like to focus on what we do better…making Truly Hands-Free really mean Trulyhandsfree™.
September 17, 2011
I decided to pop up to San Francisco this week to hit the Intel Developer Forum. It’s open to the public, but it’s really more of a show and tell to Intel employees than from them.
One of the sessions was entitled “Enhanced Experiences with Low Power Speech Recognition,” and this was my main reason for being there. Intel’s Devon Worrell gave a very nice presentation, focusing on the importance of a closed computer being not just a brick, but still having functionality in a low power state. He put up a lot of compelling slides about using speech recognition in this mode, and emphasized the need for low-power command and control with an always-on always listening device that responds to commands…hmmmm…sounds like a page right out of the Sensory bible!
Realtek appears to have been selected by Intel as a chip provider for the low-power speech recognition, and they presented at the session and even gave a demo of their in-house speech recognition technology. I wasn’t very impressed; the idea was for it to work in music with the user not speaking directly into the microphone. For the demo, however, the music was so quiet the audience could barely tell it was on, and the speaker spoke only a few inches from the mic. I had a hard time understanding if it was working or not (well, that’s giving it the benefit of the doubt.)
Jean-Marc Jot from DTS also spoke and gave an impressive presentation and demo. Of course, I’m very biased….The DTS speech recognition demo used Sensory’s TrulyHandsfree™ Voice Control. I was a bit nervous because of Jean-Marc’s French accent and the fact that DTS had created their own TrulyHandsfree trigger phrase, “Hello Jennifer” without any assistance from Sensory. (As a side note, Sensory’s TrulyHandsfree 2.0 SUBSTANTIALLY improves performance, but there are a number of complex variables in our algorithm that are not accessible through our SDK’s, and therefore our customers can not yet use the latest technology to its fullest extent unless Sensory fine tunes the vocabularies in-house.) So…Jean-Marc was demoing our earliest incarnation of TrulyHandsfree Voice Control, with a French accent in a noisy room and with a command set that Sensory has never reviewed.
The demo was AWESOME. Jean-Marc spoke about 3 feet from the mic, and said commands like “Hey Jennifer…play Lady Gaga.” The music was cranked up really loud, and Jean-Marc spoke commands like “fast forward” and other music controls as well as calling up songs by name. I have a habit of counting speech recognition errors… On the trigger there were no false positives (accidental firing), and only 2 false negatives (where Jean-Marc needed to repeat the trigger phrase). That was 2 out of about 30 or 40 uses, indicating a 94% or 95% acceptance accuracy in high noise, and the phrases following the trigger had about the same high accuracy.
Sweet Demo of how speech recognition can work in a low-power mode and be always on and listening for commands even in high noise situations!