Researchers at a US university have developed a chip architecture that can support speech recognition at speeds 10 times faster than current technology.
Demand for faster speech recognition technology is increasing as more voice and video digital media goes online because searching voice data for relevant material is slow and difficult.
But Carnegie Mellon University has developed a chip structure as an alternative to current voice recognition systems, which are based on software. The technology is aimed at making it possible to rapidly search massive volumes of voice data.
Professor Rob Rutenbar, who is leading the project, said, “Whether running an enterprise-class voice call-in center or decoding individual words on a cell phone, all of today's serious speech recognisers exist as software running on some processor. That's terribly limiting.
“Moving these computations directly into silicon means we can perform recognition dramatically faster, cheaper, and better for both commercial and homeland security tasks.”
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