CRANDEM: conditional random fields for word recognition

Jeremy Morris, Eric Fosler-Lussier

Abstract: To date, the use of Conditional Random Fields (CRFs) in automatic speech recognition has been limited to the tasks of phone classification and phone recognition. In this paper, we present a framework for using CRF models in a word recognition task that extends the well-known Tandem HMM framework to CRFs. We show results that compare favorably to a set of standard baselines, and discuss some of the benefits and potential pitfalls of this method.