Dealing with Phrase Level Co-Articulation (PLC) in speech recognition: a first approach
Roeland Ordelman, Adrianus J. van Hessen, David A. van Leeuwen · University of Twente Research Information · 1999
Whereas nowadays within-word co-articulation effects are usually sufficiently dealt with in automatic speech recognition, this is not always the case with phrase level co-articulation effects (PLC). This paper describes a first approach in dealing with phrase level co-articulation by applying these rules on the reference transcripts used for training our recogniser and by adding a set of temporary PLC phones that later on will be mapped on the original phones. In fact we temporarily break down acoustic context into a general and a PLC context. With this method, more robust models could be trained because phones that are confused due to PLC effects like for example /v/-/f/ and /z/-/s/, receive their own models. A first attempt to apply this method is described. 1. INTRODUCTION The DRUID 1 project (Document Retrieval Using Intelligent Disclosure), a collaboration of CTIT 2 /University of Twente, TNO 3 and CWI 4 , aims at the development of tools for the indexing of multimedia c...