Show simple item record

dc.contributor.authorLincoln, Michael
dc.contributor.authorCox, Stephen
dc.date.accessioned2006-05-16T13:26:21Z
dc.date.available2006-05-16T13:26:21Z
dc.date.issued2003
dc.identifier.citationIn IEEE Conference on Acoustics, Speech and Signal Processing, Hong Kong, 2003.en
dc.identifier.urihttp://hdl.handle.net/1842/1101
dc.description.abstractA system designed to allow Post Office counter clerks to communicate with deaf customers by translating speech into sign language is described. The system uses approximately 370 pre-stored phrases which may be signed to the customer using a specially designed avatar. The clerk is unable to memorise this number of phrases and therefore the system attempts to map from their input speech to the semantically equivalent pre-stored phrase. We describe a number of language processing techniques developed to perform the mapping, and give results obtained using alternative formulations of the phrases from a number of speakers. We then give results for recognised speech input and show how misrecognitions effect the mapping system. Best performance is obtained using a mapping system based on an entropy weighted, vector based distance measure between the test phrase and each of the signed phrasesen
dc.format.extent61023 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherIEEE Signal Processing Society Pressen
dc.subjectspeech translationen
dc.subjectsign languageen
dc.titleA comparison of language processing techniques for a constrained speech translation systemen
dc.typeConference Paperen


Files in this item

This item appears in the following Collection(s)

Show simple item record