Modeling dynamics in connectionist speech recognition - the time index model

Abstract

We are experimenting with an approach to connectionist speech recognition that models the dynamics within a speech segment using temporal position as an explicit variable. Currently, the most common model for human speech production that is used in speech recognition is the Hidden Markov Model (HMM). However, HMMs suffer from well known limitations; most… (More)

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