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- W1728452476 abstract "A 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 phrases." @default.
- W1728452476 created "2016-06-24" @default.
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- W1728452476 date "2003-11-21" @default.
- W1728452476 modified "2023-09-24" @default.
- W1728452476 title "A comparison of language processing techniques for a constrained speech translation system" @default.
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- W1728452476 doi "https://doi.org/10.1109/icassp.2003.1198855" @default.
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