Generating word hypotheses in continuous speech

This paper addresses the problem of generating word hypotheses in continuous German speech. It uses an extension of the well-known hidden Markow models in order to model more accurately the properties of the phonetic labeling stage. A powerful scoring function is derived. Experimental results are presented which were computed speaker independently.