Choi Wing Nin. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2001. / Includes bibliographical references. / Text in English; abstracts in English and Chinese. / Choi Wing Nin. / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Development of search algorithms for Chinese LVCSR --- p.3 / Chapter 1.2 --- Objectives of the thesis --- p.4 / Chapter 1.3 --- Thesis outline --- p.5 / Reference --- p.7 / Chapter 2 --- Fundamentals of Continuous Speech Recognition --- p.9 / Chapter 2.1 --- The Bayesian decision rule --- p.9 / Chapter 2.2 --- Acoustic front-end processor --- p.11 / Chapter 2.3 --- Phonological constraint --- p.12 / Chapter 2.3.1 --- Characteristics of Cantonese --- p.12 / Chapter 2.3.2 --- Homophones and homographs --- p.13 / Chapter 2.4 --- Acoustic modeling --- p.13 / Chapter 2.5 --- Statistical language model --- p.15 / Chapter 2.5.1 --- Word-based language model --- p.15 / Chapter 2.5.2 --- Class-based language model --- p.16 / Chapter 2.6 --- Search algorithms --- p.17 / Chapter 2.6.1 --- Time-synchronous Viterbi search --- p.18 / Chapter 2.6.2 --- Time-asynchronous stack decoding --- p.18 / Chapter 2.6.3 --- One-pass versus multi-pass search strategies --- p.19 / Chapter 2.7 --- Summary --- p.20 / Reference --- p.21 / Chapter 3 --- Search Space Organization --- p.23 / Chapter 3.1 --- Lexicon representation --- p.24 / Chapter 3.1.1 --- Linear lexicon --- p.25 / Chapter 3.1.2 --- Tree lexicon --- p.27 / Chapter 3.2 --- Factorization of language model --- p.31 / Chapter 3.3 --- Lexical tree incorporated with context-dependent acoustic models --- p.36 / Chapter 3.4 --- Summary --- p.39 / Reference --- p.40 / Chapter 4 --- One-Pass Dynamic Programming Based Search Algorithm --- p.42 / Chapter 4.1 --- Token Passing Algorithm --- p.43 / Chapter 4.2 --- Techniques for speeding up the search --- p.48 / Chapter 4.2.1 --- Different layers of beam in the search hierarchy --- p.48 / Chapter 4.2.2 --- Efficient recombination of tokens --- p.51 / Chapter 4.2.3 --- Fast likelihood computation methods for continuous mixture densities --- p.52 / Chapter 4.2.4 --- Lexical tree with class-based language model --- p.54 / Chapter 4.3 --- Experimental results and discussions --- p.57 / Chapter 4.3.1 --- The Hong Kong stock inquiry task --- p.57 / Chapter 4.3.2 --- General domain continuous speech recognition --- p.59 / Reference --- p.62 / Chapter 5 --- Extension of the One-Pass Search --- p.64 / Chapter 5.1 --- Overview of the extended framework --- p.65 / Chapter 5.2 --- Word lattice construction by modified word-conditioned search --- p.66 / Chapter 5.2.1 --- Exact N-best algorithm --- p.66 / Chapter 5.2.2 --- Word-pair approximation --- p.67 / Chapter 5.2.3 --- Word lattice algorithm --- p.68 / Chapter 5.3 --- Computation of heuristic score --- p.70 / Chapter 5.4 --- Backward A* heuristic search --- p.72 / Chapter 5.4.1 --- Recovering the missing piece --- p.74 / Chapter 5.4.2 --- Generation of N-best list --- p.74 / Chapter 5.5 --- Experimental results --- p.75 / Chapter 5.5.1 --- Simple back-tracking vs A* heuristic search --- p.75 / Chapter 5.5.2 --- N-best list evaluation using class bigram re-scoring --- p.76 / Chapter 5.5.3 --- N-best list evaluation using class trigram re-scoring --- p.77 / Chapter 5.6 --- Summary --- p.78 / Reference --- p.79 / Chapter 6 --- Conclusions and Suggestions for Future Development --- p.80 / Chapter 6.1 --- Conclusions --- p.80 / Chapter 6.2 --- Suggestions for future development --- p.82 / Chapter 6.2.1 --- Incorporation of tone information --- p.82 / Chapter 6.2.2 --- Fast match strategy for acoustic models --- p.82 / Reference --- p.84 / Appendix Cantonese Initials and Finals --- p.85
Identifer | oai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_323603 |
Date | January 2001 |
Contributors | Choi, Wing Nin., Chinese University of Hong Kong Graduate School. Division of Electronic Engineering. |
Source Sets | The Chinese University of Hong Kong |
Language | English, Chinese |
Detected Language | English |
Type | Text, bibliography |
Format | print, xi, 85 leaves : ill. ; 30 cm. |
Rights | Use of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/) |
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