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A NEW APPROACH TO SPEECH RECOGNITION

Thomas Knight
Department of Electrical Engineering and Computer Science
Speech is our most natural communication medium, but difficulties
with present-day speech-recognition algorithms prevent its widespread
use in our interaction with machines.
Current algorithms have extreme difficulty in noisy environments and
with new speakers. Speech recognizers have high error rates - even
the best in ideal conditions misunderstand 1 in 20 words, with recognition
dropping to 50% in noisy environments. They also have difficulty with
previously unheard speakers and dialects. These failures, which suggest
that we don't really yet understand what differentiates particular
sounds in the language, have limited the usefulness of current speech
recognition technology.
This project will develop a novel, non-linear representation for speech
that addresses the shortcomings of existing representations. It will
greatly improve the ability of machines to understand human speech
and thus make communicating with machines as easy as talking on the
phone.
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