Tag: Daniel Povey

NVIDIA

Kaldi acknowledged as most popular framework for speech recognition

April 6, 2018

At the recent GPU Technology Conference, held in San Jose, California, NVIDIA founder and CEO Jensen Huang stated that Kaldi had become “the most popular framework for speech recognition”. And was “now optimized for GPUs”. Kaldi, a toolkit for speech recognition, was created in 2009 at a Johns Hopkins University workshop titled “Low Development Cost, High Quality Speech […]

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CLSP Researchers Among Winners of IARPA ASpIRE Challenge

September 11, 2015

Researchers from the Center for Language and Speech Processing at Johns Hopkins University are among the winners for the Intelligence Advanced Research Projects Activity’s (IARPA) Automatic Speech Recognition in Reverberant Environments (ASpIRE) challenge.

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Johns Hopkins University

Johns Hopkins University, Whiting School of Engineering

Center for Language and Speech Processing
Hackerman 226
3400 North Charles Street, Baltimore, MD 21218-2608

Center for Language and Speech Processing