The Uncanny Valley of Voice Recognition
An anonymous reader writes: We've often seen the term "uncanny valley" applied to the field of robotics — it's easy to get unsettled when robots act close to being human, yet fail completely in a few key ways. GitHub Engineer Zach Holman writes that we've now reached uncanny valley territory in speech recognition as well, though the results are more frustrating than they are disturbing. He says, "Part of this frustration is the user interface itself is less standardized than the desktop or mobile device UI you're used to. Even the basic terminology can feel pretty inconsistent if you're jumping back and forth between platforms.
Siri aims to be completely conversational: Do you think the freshman Congressman from California's Twelfth deserved to sit on HUAC, and how did that impact his future relationship with J. Edgar? Xbox One is basically an oral command line interface, of the form: Xbox (direct object). ...it's these inconsistencies that are frustrating as you jump back and forth between devices. And we're only going to scale this up."
Siri aims to be completely conversational: Do you think the freshman Congressman from California's Twelfth deserved to sit on HUAC, and how did that impact his future relationship with J. Edgar? Xbox One is basically an oral command line interface, of the form: Xbox (direct object). ...it's these inconsistencies that are frustrating as you jump back and forth between devices. And we're only going to scale this up."
I fail to see how the "inconsistency" of speech recognition UIs are any more earth-shattering that the inconsistency between graphical UIs. People learn to use what they have, no more, no less. Anyone who "expects" device Y to behave like device X when they're from different vendors is a fool.
Hell, even Android devices aren't consistent between vendors, and they start off with the same core code!
I do not fail; I succeed at finding out what does not work.
It's hard to imagine anyone who's actually used Siri thinking that question could get a useful answer. Siri can't understand even far more basic English. It's not much more advanced than Dr. Sbaitso.
As I understand it, the "Uncanny Valley" refers to things are that very close to human behavior--close enough that the mind shifts from this being an imperfect representation of a human to being an imperfect human.
Personally, I'm not sure there would really be an issue with "uncanny valley" in regards to speech recognition. It's good if it recognizes what you're saying. It's bad if it doesn't. There isn't really a middle ground where it's off in a way you can't really identify, which is where "uncanny valley" comes from.
What he seems to be talking about is the "personification" of "digital assistants" like Siri and Alexa (Amazon Echo) which will eventually create an "uncanny valley." But I'm not sure that it's really that big of an issue. Just because I call something by name doesn't mean I expect it to behave in a human fashion. I don't get frustrated with my dog when I say, "Fido, change the oil in my car" and the dog just lies there and licks his balls, so I don't expect I'll ever get that frustrated because Siri can't tell me what time the sun will set next Tuesday--or, if I do, my frustration will be aimed at the people at Apple who believe that sunrise and sunset is part of the weather.
Siri and Alexa have a long way to go before someone would mistake them for humans.
I can kind of see what he means, although I think the comparison with the uncanny valley is a bit weak.
I've taken to using Google Now's voice commands to set timers while I'm cooking, so something like "Ok Google, set a timer for 20 minutes". I don't have to touch my phone and it works brilliantly even in the noisy environments of a kitchen.
I've gotten used to talking to it in a very naturalistic way, which is where the problems occasionally crop up, and when they do they can be quite jarring.
A good example was the last time I asked it to set a timer for "an hour and a half", which Now interpreted as 1:00:30s, i.e. an hour and a half *minute*.
The jarring effect is at this edge where we feel like the speech recognition system is understanding what we say, but really it's just trying to use lots of different rules and patterns that have been coded in. If you happen to just fall outside of one of those rules it fails completely, and it can seem very arbitrary.
Paul Leader
I speak standard BBC English, and I have often been described by people as "the easiest person to understand in the company" in many different companies.
I my experience, the recognition rate appears to be about 2%.
Not surprising; your "BBC English" and our "media English" over here in North America are basically artificial dialects developed by the broadcast industries starting back in the 1940s. They even managed to do some fairly scientific testing, assembling listeners with different native dialects, and counting their mistakes when listening to different proposed pronunciations of various words and phrases. Their intent was to to develop dialects that were easily understood by most of their target audiences, and they did a reasonable job of it.
This doesn't help the computers' voice recognition software very much, though, because few customers speak these "standard" artificial dialects well. The software people aren't working on making the customers understand the computer's speech; they're trying to get the computers to understand untrained humans speaking their native dialects. This requires rather different processing than what the broadcasters were trying to do, and is a much more difficult task for us humans, too. It doesn't help that the computers are often listening to humans who aren't totally awake and sober ...
Those who do study history are doomed to stand helplessly by while everyone else repeats it.