Speech recognition to enter hostile environments

 

UWA gets $230,000 Government grant to improve the technology.

The University of Western Australia (UWA) has received a $230,000 Government grant to perfect technology that will enable speech recognition in noisy environments.

The technology could provide voice-activated controls in settings where users cannot always be right next to a microphone.

"Users have most difficulties with [current] speech recognition [technology] when using it in uncontrolled environments," said Roberto Togneri, an Associate Professor at the university who is leading the project.

"We're trying to look at ways to reduce errors, for example through front-end processing," he told iTnews.

Speech recognition has become increasingly pervasive in the industry, with organisations like National Australia Bank and Centrelink deploying biometric voice systems that allow callers to verify their identity by speaking into the phone.

The technology is also gaining popularity among consumers, with both Telstra and Optus chiefs highlighting speech-to-text at the Mobile World Congress in Barcelona last year.

But the technology is not yet perfect, Togneri said, explaining that current systems require users to speak directly into a microphone in a relatively quiet environment.

"The key feature that makes speech recognition work is also its Achilles' heel," he said, explaining that the current pattern-matching approach tends to produce errors.

Togneri suggested that better front-end processing algorithms could have a more accurate result.

He said there could be "some interest" in commercialising the technology, depending on the direction of the research -- which depends on "who we work with in future".

Once developed, the technology could be used to assist the elderly and disabled, enhance Australia's defence capabilities through automated surveillance, and improve inventory technology in the local WA animal husbandry industry, he said.


Speech recognition to enter hostile environments
"There was a lot of work done on front-end algorithms to improve noise performance in the early 1990's with mixed results. Unless there has been a significant breakthrough in algorithms that I am ..."
By CDS
 
 
 
Comments: 4
Ace
Feb 17, 2010 10:49 AM
$230,000 would seem a drop in a teacup compared to what commercial VR vendors have spent developing their technologies.

Universities like Carnegie Mellon have been at the forefront of VR for a years, and sit behind technologies used by companies like Nuance, who develop excellent VR software for many industries, including telephony, which is inherently noisy.

Developing better algorithms is admirable, because you do get the feeling that the current technologies haven't yet reached the level of perfection needed to deal with people on a phone. 96-97% accuracy sounds good on paper, but I think you actually need better than 99% to gain proper acceptance.

It's just that $230K doesn't seem much.
Ace
Feb 17, 2010 3:38 PM
I don't want to cause a storm in a teacup, but did I mean 'a drop in the ocean'?
CDS
Feb 18, 2010 2:50 PM
There was a lot of work done on front-end algorithms to improve noise performance in the early 1990's with mixed results. Unless there has been a significant breakthrough in algorithms that I am not aware of, the only way I know of to significantly enhance robustness in high noise is through comprehensive "garbage modelling".

I'd be interested to see how you go though - best of luck
CDS
Feb 18, 2010 2:50 PM
There was a lot of work done on front-end algorithms to improve noise performance in the early 1990's with mixed results. Unless there has been a significant breakthrough in algorithms that I am not aware of, the only way I know of to significantly enhance robustness in high noise is through comprehensive "garbage modelling".

I'd be interested to see how you go though - best of luck
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