Google's New Voice Recognition System Works Instantly and Offline (If You Have a Pixel) (techcrunch.com)
Google's latest speech recognition works entirely offline, eliminating the delay that many other voice assistants have to return your query. "The delay occurs because your voice, or some data derived from it anyway, has to travel from your phone to the servers of whoever operates the service, where it is analyzed and sent back a short time later," reports TechCrunch. "This can take anywhere from a handful of milliseconds to multiple entire seconds (what a nightmare!), or longer if your packets get lost in the ether." The only major downside with Google's new system is its limited availability. As of right now, it's only available to people with a Pixel smartphone. From the report: Why not just do the voice recognition on the device? There's nothing these companies would like more, but turning voice into text on the order of milliseconds takes quite a bit of computing power. It's not just about hearing a sound and writing a word -- understanding what someone is saying word by word involves a whole lot of context about language and intention. Your phone could do it, for sure, but it wouldn't be much faster than sending it off to the cloud, and it would eat up your battery. But steady advancements in the field have made it plausible to do so, and Google's latest product makes it available to anyone with a Pixel.
Google's work on the topic, documented in a paper here, built on previous advances to create a model small and efficient enough to fit on a phone (it's 80 megabytes, if you're curious), but capable of hearing and transcribing speech as you say it. No need to wait until you've finished a sentence to think whether you meant "their" or "there" -- it figures it out on the fly. So what's the catch? Well, it only works in Gboard, Google's keyboard app, and it only works on Pixels, and it only works in American English. So in a way this is just kind of a stress test for the real thing. "Given the trends in the industry, with the convergence of specialized hardware and algorithmic improvements, we are hopeful that the techniques presented here can soon be adopted in more languages and across broader domains of application," writes Google in their blog post.
Google's work on the topic, documented in a paper here, built on previous advances to create a model small and efficient enough to fit on a phone (it's 80 megabytes, if you're curious), but capable of hearing and transcribing speech as you say it. No need to wait until you've finished a sentence to think whether you meant "their" or "there" -- it figures it out on the fly. So what's the catch? Well, it only works in Gboard, Google's keyboard app, and it only works on Pixels, and it only works in American English. So in a way this is just kind of a stress test for the real thing. "Given the trends in the industry, with the convergence of specialized hardware and algorithmic improvements, we are hopeful that the techniques presented here can soon be adopted in more languages and across broader domains of application," writes Google in their blog post.
is simply because pixel is google, and the spy shit will still end up getting transmitted later when a connection is available. it has nothing to do with 'computing power' of the device. early dragon naturallyspeaking worked on lowly 486dx and pentiums running windows 95 and nt 4. all it takes it a little 'training' of the user's voice, and a trained dragon 1.0 did just as well back then, as current shit does today. current iterations of 'voice assistants' still do the 'training' for voices.. just 'in the cloud'.. cuz spying is good for profits and it allows untrained voices to be mostly recognized most the time.
I love how their reasoning is battery life... The mic is already turned on 24/7 to listen to the "OK Google" command, so that doesn't change. And then the actual audio is only about 1-5 seconds in length that takes about the same amount of time to process. Having the CPU at max for such a short period of time does absolutely nothing to significantly drain the battery. Do they think that having the radio turned on to transmit/receive data from the cloud magically uses less data?
Whomever wrote this story speaks with the voice of someone who seems like they couldn't possibly understand why *anyone* would prioritize data-stays-on-device, non-cloud, privacy-related living.
Is this what the new generation of tech journalists is like? With no conception of out-dated functions like data locality and operational independence? Someone who couldn't imagine why someone would download local audio instead of streaming it from their cloud service?
Hire a Linux system administrator, systems engineer,
"but turning voice into text on the order of milliseconds takes quite a bit of computing power."
Uhh, Dragon Naturally Speaking worked on fucking Pentium II processors. It only takes a lot of computing power today because nobody knows how to fucking code.
Still waiting on Serviscope_minor to wake up to fucking reality and realize that Jessica Price isn't going to fuck him.
I wouldn't be surprised to learn if there's some dedicated hardware that's been added to the SoCs in the latest phones that enable doing this on the device itself.
Yes, just like Apple has the Neural Engine, Google has the Pixel Visual Core
The name is misleading because from what I can tell (and what the article says) it is like the Apple chip, and can help with arbitrary neural network processing.
What I'm not sure of is the speed of the iPhone chip compared to the Pixel one, the iPhone chip took quite a leap in speed this year...
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