Today's Hard|Forum Post
Today's Hard|Forum Post

Thursday April 07, 2016

Speech Recognition, Simplified, in New Work Done with GPUs

Speech recognition has come a long way from its clunky beginnings to today, now used to interact with everything from cellphones to cars to computers. But even faster, even more accurate speech recognition could be on the horizon, thanks to researchers from Carnegie Mellon and Google Brain. The researchers took a new approach to speech recognition, said William Chan, a Ph.D. student at Carnegie Mellon University, told a crowd at the GPU Technology Conference Tuesday.

"We threw away the conventional speech recognition pipeline and replaced it with a simple model," said Chan. Most speech recognition applications require a complex, multi-step process to turn speech into text. For example, they must include a pronunciation dictionary (and experts to create them) that defines each sound in each word, according to Chan, who is lead author on a paper describing the research.

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