
Tag: speech recognition
Syntiant Corp., the “neural decision processor” startup, announced completion of another funding round this week along with the shipment of more than 1 million low-power edge AI chips.
The three-year-old startup based in Irvine, Calif., said Tuesday (Aug. Read more…
Deepgram, the speech recognition vendor, has signed on with the investment arm of the U.S. intelligence community.
The Bay Area startup said Thursday (June 4) is has inked a strategic investment agreement with In-Q-Tel. Read more…
Medical applications are emerging as an attractive market for AI developers pitching machine learning solutions that also meet strict regulatory requirements for protecting patient privacy.
This week, for example, Nvidia (NASDAQ: Read more…
The accuracy of automatic speech recognition has made significant gains in the last few years thanks to the advent of deep neural networks. But there’s one area that has thwarted researchers: Read more…
We’ve grown accustomed to interacting with computers through a visual interface. But thanks to big gains in the accuracy of speech recognition, that’s changing, and among the applications being targeted for voice-enablement are business intelligence and analytics. Read more…
Chinese search giant Baidu Inc. is publicly releasing Chinese language APIs for its primary speech technologies as it and rivals continue to open up their portfolios of AI-based deep learning technologies. Read more…
Microsoft speech recognition researchers report they have achieved parity with humans using a testing framework that gauges error rates for professional transcribers and the ability to understand “open-ended conversations.”
“In both cases, our automated system establishes a new state-of-the-art, and edges past the human benchmark,” Read more…
Machine learning is a hot topic, but what applications is the technology driving and what drives machine learning? The short answer, concludes a new research report on machine learning, is data—lots of data. Read more…
Thanks to continued improvements in the accuracy voice recognition technology, we’re closer than ever to having a natural conversation with computers, without the interaction devolving into a frustrating, phone-throwing experience. Read more…