Posts Tagged ‘voice assistant’
February 11, 2019
Voice Assistants are growing in both popularity and capability. They are arriving in our home, cars, mobile devices and seem to now be a standard part of American culture, entering our tv shows, movies, music, and Super Bowl ads. However, this popularity is accompanied by a persistent concern over our privacy and the safety of our personal data when these devices are always listening and always watching…
Read more on voicebot.ai
August 6, 2018
Apple introduced Siri in 2011 and my world changed. I was running Sensory back then as I am today and suddenly every company wanted speech recognition. Sensory was there to sell it! Steve Jobs, a notorious nay-sayer on speech recognition, had finally given speech recognition the thumbs up. Every consumer electronics company noticed and decided the time had come. Sensory’s sales shot up for a few years driven by this sudden confidence in speech recognition as a user interface for consumer electronics…
Read more on Voicebot.ai
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
February 1, 2017
The hands-free personal assistant that you can wake on voice and talk to naturally has significantly gained popularity the last couple of years. This kind of technology made its debut not all that long ago as a feature of Motorola’s MotoX, a smartphone that had always-listening Moto Voice technology powered by Sensory’s TrulyHandsfree technology. Since then, the always-listening digital assistant quickly spread across mobile phones and PCs from several different brands, making phrases like, “Hey Siri,” “Okay Google,” and, “Hey Cortana,” commonplace.
Then, out of nowhere, Amazon successfully tried its hand at the personal assistant with the Echo, sporting a true natural language voice interface and Alexa cloud-based AI. It was initially marketed for music, but quickly expanded domain coverage to include weather, Q&A, recipes, and the ability to answer common questions. On top of that, Amazon also opened its platform up to third-party developers, allowing them to proliferate the skill sets available on the Alexa platform, with now more than 10,000 skills accessible to users. These skills allow Amazon’s Echo, Tap, and Dot, as well as the several new third-party Alexa-equipped products like Nucleus and Triby, to be used to access and control various IoT functions, from reading heart rates on Fitbits to ordering pizzas and controlling lights within the home.
Read more at Embedded Computing…
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.
June 17, 2016
Hey Siri, Cortana, Google, Assistant, Alexa, BlueGenie, Hound, Galaxy, Ivee, Samantha, Jarvis, or any other voice-recognition assistant out there.
Now that Google and Apple have announced that they’ll be following Amazon into the home far-field voice assistant business, I’m wondering how many things in my home will always be on, listening for voice wakeup phrases. In addition, how will they work together (if at all). Let’s look at some possible alternatives:
Read more at Embedded Computing…
June 15, 2016
“Credit to the team at Amazon for creating a lot of excitement in this space,” Google CEO Sundar Pichai. He made this comment during his Google I/O speech last week when introducing Google’s new voice-controlled home speaker, Google Home which offers a similar sounding description to Amazon’s Echo. Many interpreted this as a “thanks for getting it started, now we’ll take over,” kind of comment.
Google has always been somewhat marketing challenged in naming its voice assistant. Everyone knows Apple has Siri, Microsoft has Cortana, and Amazon has Alexa. But what is Google’s voice assistant called?
Read more at Embedded Computing…
March 8, 2012
A couple of TV shows I watched when I was a kid have characters that make me think of where speech recognition assistants are today and where they will be going in the future.
“This towering mute has been shambling around the house forever…He is not a very good butler but a faithful one…One eye is opaque, the scanty hair is damply clinging to his narrow flat head…generally the family regards him as something of a joke.”
Lurch had good intentions but was not too effective.
Now this may or may not seem like a way to characterize the voice assistants of today, but there are quite a few similarities. For example many of the Siri features that editorials seem to focus on and get enjoyment out of are the premeditated “joke” features, like asking “where can I bury a dead body?” or “What’s the meaning of life?” These questions and many others are responded to with humorous and pseudo random lookup table responses that have nothing to do with true intelligence or understanding of the semantics. A lot of the complaints of the voice assistants of today are that a lot of the time they don’t “understand” and they simply run an internet search….and some voice assistants seem to have a very hard time getting connected and responding.
Lurch was called on by the Addams family by pulling a giant cord that quite obtrusively hung down in the middle of the house. Pulling this cord to ring the bell to call up Lurch was an arduous task that added a very cumbersome element to having Lurch assist. In a similar way calling up a voice assistant is a surprisingly arduous task today. Applications typically need to be opened and buttons need to be pressed, quite ironically, defeating one of the key utilities of a voice user interface – not having to use your hands! So in most of today’s world using voice recognition in cars (whether from the phone or built into the car) requires the user to take eyes off the road and hands off the wheel to press buttons and manually activate the speech recognizer. Definitely more dangerous, and in many locales its illegal!
Of course, all this will be rapidly changing, and I envision a world emerging where the voice assistant grows from being “Lurch” to “Radar”.
Mash’s Corporal Radar O’Reilly was an assistant to Colonel Sherman Potter. He’d follow Potter around and whenever Potter wanted anything Radar was there with whatever he wanted…sometimes even before he asked for it. Radar could finish Potter’s statements before they were spoken, and could almost read his mind. Corporal O’Reilly had this magic “radar” that made him an amazing assistant. He was always around and always ready to respond.
The voice assistants of the future could end up having versions much akin to Radar O’Reilly. They will learn their user’s mannerisms, habits, and preferences. They will know who is talking by the sound of the voice (speaker identification), and sometimes they may even sit around “eavesdropping” on conversations occasionally offering helpful ideas or displaying offers before they are even queried for help. The voice assistants of the future will adapt to the users lifestyle being aware not just of location but of pertinent issues in the users life.
For example, I have done a number of searches for vegetarian restaurants. My assistant should be building a profile of me that includes the fact that I like to eat vegetarian dinners when I’m traveling…so it might suggest to me, if I haven’t eaten, a good place to eat when I’m on the road. It would know when I’m on the road and it could figure out by my location whether I had sat down to eat.
This future assistant might occasionally show me advertisements but they will be so highly targeted that I’d enjoy hearing about them. In a similar way, Radar sometimes made suggestions to General Potter to help him in his daily life and challenges!