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Titlebook: Automatic Speech and Speaker Recognition; Advanced Topics Chin-Hui Lee,Frank K. Soong,Kuldip K. Paliwal Book 1996 Kluwer Academic Publisher

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Hybrid Connectionist Models For Continuous Speech Recognition,nd flexible, but the probability estimation techniques used with these models typically suffer from a number of significant limitations. Over the last few years, we have demonstrated that fairly simple Multi-Layered Perceptrons (MLPs) can be discriminatively trained to estimate emission probabilitie
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Automatic Generation of Detailed Pronunciation Lexicons,the source of sub-words units for which we build acoustic models (1) a coarse phonemic representation, (2) a single, fine phonetic realization, and (3) multiple phonetic realizations with associated likelihoods. We describe how we obtain these different pronunciations from text-to-speech systems and
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Dynamic Programming Search Strategies: From Digit Strings to Large Vocabulary Word Graphs,basic one-pass algorithm for word string recognition, we extend the search strategy to vocabularies of 20,000 words and more by using a tree organization of the vocabulary. Finally, we describe how this predecessor conditioned algorithm can be refined to produce high-quality word graphs. This method
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Multiple-Pass Search Strategies,ially, without any increase in error rate. We consider two basic strategies: the N-best Paradigm, and the Forward-Backward search. Both of these strategies operate on the entire sentence in (at least) two passes. The N-best Paradigm computes alternative hypotheses for a sentence, which can later be
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