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Abstract:
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While speech recognition systems have come a long way in the last forty years,
there is still room for improvement. Although readily available, these systems are
sometimes inaccurate and insufficient. The research presented here outlines a technique
called Distributed Listening which demonstrates noticeable improvements to existing
speech recognition methods. The Distributed Listening architecture introduces the idea
of multiple, parallel, yet physically separate automatic speech recognizers called listeners.
Distributed Listening also uses a piece of middleware, called an interpreter, which
resolves multiple interpretations using a phrase resolution algorithm. The subsequent
experiments of the research show that these efforts work together to increase the accuracy
of the transcription of spoken utterances and Distributed Listening at worst, is as good as
the best individual listener. |
