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MAVIS Upgrade Gets Deep-Neural-Network Speech Recognition

Dong Yu, ofMicrosoft Research Redmond, andFrank Seide, ofMicrosoft Research Asia, have extended the state of the art in real-time, speaker-independent, automatic speech recognition to produce the Deep-Neural-Network Speech Recognition based MAVIS. Though, this concept has been in use for speech recognition for more than 20 years, computer scientists gained access to enough computing power to make it possible to build models only a few years ago. The Deep-Neural-Network Speech Recognition systems are characterized by improved accuracy and faster processor timing. In this process, an audio file is recognized multiple times, and after each time, the recognizer tunes itself a little more closely to the specific speaker or speakers in the file, so that the next time, it gets better.

Author: Publication Date: Crawl Date: Source: Topic: Contributor: Type: Language: Format:
June 21, 2012 June 24, 2012 CrazyEngineers VoiCE via Google News Applications MachineLearning NaturalLanguage Speech Vision NewsFinder Text English HTML

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Page last modified on June 25, 2012, at 12:00 AM