A Comparison of Language Processing Techniques for a Constrained Speech Translation System

Lincoln, M. and Cox, S. J. (2003) A Comparison of Language Processing Techniques for a Constrained Speech Translation System. In: IEEE Conference on Acoustics, Speech and Signal Processing (ICASSP '03), 2003-04-06 - 2003-04-10.

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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.

Item Type: Conference or Workshop Item (Paper)
Faculty \ School: Faculty of Science > School of Computing Sciences
Related URLs:
Depositing User: Vishal Gautam
Date Deposited: 04 Jul 2011 08:22
Last Modified: 24 Jul 2019 12:32
URI: https://ueaeprints.uea.ac.uk/id/eprint/21571
DOI: 10.1109/ICASSP.2003.1198855

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