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Articulation and Intelligibility
Posted on 2010-04-14
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More Jont B. Allen, B.H. Juang, «» This lecture is a review of what is known about modeling human speech recognition. A model is proposed, and data are tested against the model. There seem to be a large number of theories, or points of view, on how human speech recognition functions, yet few of these theories are comprehensive. What is needed is a set of models that are supported by experimental observation, that characterize how human speech recognition really works. Finally there is the practical problem of building a machine recognizer. One way to do this is to build a machine recognizer based on the reversed engineering of human recognition. This has not been the traditional approach to automatic speech recognition.
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