Articulation and Intelligibility

This lecture is a review of what is known about modeling human speech recognition (HSR). There are 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. There is also 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 (ASR). Author Jont Allen provides insight into why this difference between human performance and present day machine performance exists.