Interactive Speech Translation in the Diplomat Project
Machine Translation
WebDIPLOMAT: a Web-based interactive machine translation system
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Subphonetic modeling for speech recognition
HLT '91 Proceedings of the workshop on Speech and Natural Language
Minimizing speaker variation effects for speaker-independent speech recognition
HLT '91 Proceedings of the workshop on Speech and Natural Language
Applying SPHINX-II to the DARPA Wall Street Journal CSR task
HLT '91 Proceedings of the workshop on Speech and Natural Language
TONGUES: rapid development of a speech-to-speech translation system
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Architecture, User Interface, and Enabling Technology in Windows Vista's Speech Systems
IEEE Transactions on Computers
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In order for speech recognizers to deal with increased task perplexity, speaker variation, and environment variation, improved speech recognition is critical. Steady progress has been made along these three dimensions at Carnegie Mellon. In this paper, we review the SPHINX-II speech recognition system and summarize our recent efforts on improved speech recognition.