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Optimizations for automatic speech recognition systemsBoucher, Philippe January 1995 (has links)
Note:
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Using information above the word level for automatic speech recognitionKing, Simon Alistair January 1998 (has links)
This thesis introduces a general method for using information at the utterance level and across utterances for automatic speech recognition. The method involves classification of utterances into types. Using constraints at the utterance level via this classification method allows information sources to be exploited which cannot necessarily be used directly for word recognition. The classification power of three sources of information is investigated: the language model in the speech recogniser, dialogue context and intonation. The method is applied to a challenging task: the recognition of spontaneous dialogue speech. The results show success in automatic utterance type classification, and subsequent word error rate reduction over a baseline system, when all three information sources are probabilistically combined.
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Confidence estimation for automatic speech recognition hypothesesSeigel, Matthew Stephen January 2014 (has links)
No description available.
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Adaptation of reference patterns in word-based speech recognitionMcInnes, Fergus Robert January 1988 (has links)
No description available.
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A study of an active approach to speaker and task adaptation based on automatic analysis of vocabulary confusabilityLi, Wei, 李威 January 2007 (has links)
published_or_final_version / abstract / Computer Science / Doctoral / Doctor of Philosophy
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Dynamic error propagation networksRobinson, Anthony John January 1989 (has links)
No description available.
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Automatic speech recognition using morpheme structure rules for word hypothesis and dictionary generationHall, A. R. January 1989 (has links)
No description available.
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Data compression techniques for isolated and connected word recognitionGadallah, Mahmoud E. January 1991 (has links)
No description available.
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Time-frequency spectral estimation of speechRainton, D. January 1989 (has links)
No description available.
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Hidden Markov Model state-based noise compensationBeattie, Valerie L. January 1992 (has links)
No description available.
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