Mismatch interpretation by semantics-driven alignment

Abstract

This paper describes a method for the alignment of automatically recognized speech transcripts with formatted documents manually derived from the speech recognition results. Novel features of our alignment method are a parametrizable scoring function, an intelligent tokenization system drawing on domain knowledge, and semantic comparisons. The field of application are dictated medical reports processed by automatic speech recognition.