Phonetic query expansion for spoken document retrieval

Abstract

We are interested in retrieving information from speech data using phonetic search. We show improvement by expanding the query phonetically using a joint maximum entropy N-gram model. The value of this approach is demonstrated on Broadcast News data from NIST 2006 Spoken Term Detection evaluation. Copyright © 2008 ISCA.