Sub-word modeling of out of vocabulary words in spoken term detection

Conference Paper · January 2009with10 Reads
DOI: 10.1109/SLT.2008.4777893 · Source: IEEE Xplore
Conference: Spoken Language Technology Workshop, 2008. SLT 2008. IEEE

    Abstract

    This paper deals with comparison of sub-word based methods for spoken term detection (STD) task and phone recognition. The sub-word units are needed for search for out-of-vocabulary words. We compared words, phones and multigrams. The maximal length and pruning of multigrams were investigated first. Then two constrained methods of multigram training were proposed. We evaluated on the NIST STD06 dev-set CTS data. The conclusion is that the proposed method improves the phone accuracy more than 9% relative and STD accuracy more than 7% relative.