Models and algorithms for continuous speech recognition: A brief tutorial

Abstract

Large vocabulary continuous speech recognition presents several challenging problems. One source of complexity is the variation in the pronunciation of words arising from the phonetic context. The complexity also increases because of the large search space that continuous speech recognizers have to deal with. In this paper we discuss some methods for modeling context dependent variations in continuous speech. We describe algorithms for using the phonetic context information during recognition.