Showing posts with label recognition. Show all posts
Showing posts with label recognition. Show all posts

Friday, March 22, 2013

Microsoft demos improvements to Bing voice recognition for Windows Phone

Microsoft working on prototype Bing app for Windows Phone with improved speech recognition, less latency


"Nothing says fun like a speech demo." Those are the words of Microsoft's CTSO Eric Rudder, not ours -- although we do have to agree. As you'll see for yourself in the video after the break, Microsoft held a private event for its employees a few weeks ago showcasing some of the advancements it's achieved with Bing's voice search for Windows Phone. Thanks to the work of MS' Research arm and the folks at Advanced Technology Group, voice recognition accuracy on a prototype build has now been improved by up to 15-percent on the back end and should even see a further 10- to 15-percent performance boost. In addition to this decreased error rate, the team's also greatly enhanced the speed at which the app delivers relevant results. So when can you expect this new and improved Bing app for WP? That part's unclear, but it appears Microsoft's already implementing changes on the back end to bolster current use.



Via: The Verge


Source: MSFT Kitchen

Wednesday, March 13, 2013

Google acquires neural network startup that may help it hone speech recognition and more

U of T neural networks start-up acquired by Google

TORONTO, ON – Google has picked up a ground-breaking start-up out of the Department of Computer Science, University of Toronto.

University Professor Geoffrey Hinton and two of his graduate students, Alex Krizhevsky and Ilya Sutskever, incorporated DNNresearch Inc. in 2012, and the company has been acquired by Google for its research on deep neural networks.

Hinton is world-renowned for his work with neural nets, and this research has profound implications for areas such as speech recognition, computer vision and language understanding.

"Geoffrey Hinton's research is a magnificent example of disruptive innovation with roots in basic research," said U of T's president, Professor David Naylor. "The discoveries of brilliant researchers, guided freely by their expertise, curiosity, and intuition, lead eventually to practical applications no one could have imagined, much less requisitioned.

"I extend my congratulations to Professor Hinton for this latest achievement."

Recently, Krizhevsky and Sutskever, who will both be moving to Google, developed a system that dramatically improved the state of the art in object recognition.

"This is a wonderful opportunity for Geoff, and a great opportunity for the department," said Computer Science Chair Sven Dickinson. "In recent years, we have been expanding our industrial relations, and this acquisition represents a wonderful opportunity to strengthen our existing ties with Google, one of the world's most innovative IT companies."

The Google deal will support Prof. Hinton's graduate students housed in the department's machine learning group, while protecting their research autonomy under academic freedom. It will also allow Prof. Hinton himself to divide his time between his university research and his work at Google.

"I am extremely excited about this fantastic opportunity to keep my research here in Toronto and, at the same time, help Google apply new developments in deep learning to make systems that help people," said Professor Hinton.

Professor Hinton will spend time at Google's Toronto office and several months of the year at Google's headquarters in Mountain View, CA.

This announcement comes on the heels of a $600,000 gift Google awarded Professor Hinton's research group to support further work in the area of neural nets.


Source

 

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