Return to search

Large vocabulary continuous speech recognition for cantonese. / 粤語的大詞彙、連續語音識別系統 / Large vocabulary continuous speech recognition for cantonese. / Yue yu de da ci hui, lian xu yu yin shi bie xi tong

Wong Yiu Wing = 粤語的大詞彙、連續語音識別系統 / 黃耀榮. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2000. / Includes bibliographical references. / Text in English; abstracts in English and Chinese. / Wong Yiu Wing = Yue yu de da ci hui, lian xu yu yin shi bie xi tong / Huang Yaorong. / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Progress of Large Vocabulary Continuous Speech Recognition for Chinese --- p.2 / Chapter 1.2 --- Objectives of the Thesis --- p.5 / Chapter 1.3 --- Thesis Outline --- p.6 / Reference --- p.7 / Chapter 2 --- Fundamentals of Large Vocabulary Continuous Speech Recognition for Cantonese --- p.9 / Chapter 2.1 --- Characteristics of Cantonese --- p.9 / Chapter 2.1.1 --- Cantonese Phonology --- p.9 / Chapter 2.1.2 --- Written Cantonese versus Spoken Cantonese --- p.12 / Chapter 2.2 --- Techniques for Large Vocabulary Continuous Speech Recognition --- p.13 / Chapter 2.2.1 --- Feature Representation of the Speech Signal --- p.14 / Chapter 2.2.2 --- Hidden Markov Model for Acoustic Modeling --- p.15 / Chapter 2.2.3 --- Search Algorithm --- p.17 / Chapter 2.2.4 --- Statistical Language Modeling --- p.18 / Chapter 2.3 --- Discussions --- p.19 / Reference --- p.20 / Chapter 3 --- Acoustic Modeling for Cantonese --- p.21 / Chapter 3.1 --- The Speech Database --- p.21 / Chapter 3.2 --- Context-Dependent Acoustic Modeling --- p.22 / Chapter 3.2.1 --- Context-Independent Initial / Final Models --- p.23 / Chapter 3.2.2 --- Construction of Context-Dependent TrilF Models from Context- Independent IF Models --- p.26 / Chapter 3.2.3 --- Data Sharing in Acoustic Modeling --- p.27 / Chapter 1. --- Sparse Data Problem --- p.27 / Chapter 2. --- Decision-Tree Based State Clustering --- p.28 / Chapter 3.3 --- Experimental Results --- p.31 / Chapter 3.4 --- Error Analysis and Discussions --- p.33 / Chapter 3.4.1 --- Recognition Accuracy vs. Model Complexity --- p.33 / Chapter 3.4.2 --- Initial / Final Confusion Matrices --- p.34 / Chapter 3.4.3 --- Analysis of Phonetic Trees --- p.39 / Chapter 3.4.4 --- The NULL Initial HMM --- p.42 / Chapter 3.4.5 --- Comments on the CUSENT Speech Corpus --- p.42 / References --- p.44 / Chapter 4 --- Language Modeling for Cantonese --- p.46 / Chapter 4.1 --- N-gram Language Model --- p.46 / Chapter 4.1.1 --- Problems in Building an N-gram Language Model --- p.47 / Chapter 1. --- The Zero-Probability Problem and Backoff N-gram --- p.48 / Chapter 4.1.2 --- Perplexity of a Language Model --- p.49 / Chapter 4.2 --- N-gram Modeling in Cantonese --- p.50 / Chapter 4.2.1 --- The Vocabulary and Word Segmentation --- p.50 / Chapter 4.2.2 --- Evaluation of Chinese Language Models --- p.53 / Chapter 4.3 --- Character-Level versus Word-Level Language Models --- p.54 / Chapter 4.4 --- Language Modeling in a Specific Domain --- p.57 / Chapter 4.4.1 --- Language Model Adaptation to the Financial Domain --- p.57 / Chapter 1. --- Vocabulary Refinement --- p.57 / Chapter 2. --- The Seed Financial Bigram --- p.58 / Chapter 3. --- Linear Interpolation of Two Bigram models --- p.59 / Chapter 4. --- Performance of the Interpolated Language Model --- p.60 / Chapter 4.5 --- Error Analysis and Discussions --- p.61 / References --- p.63 / Chapter 5 --- Integration of Acoustic Model and Language Model --- p.65 / Chapter 5.1 --- One-Pass Search versus Multi-Pass Search --- p.66 / Chapter 5.2 --- A Two-Pass Decoder for Chinese LVCSR --- p.68 / Chapter 5.2.1 --- The First Pass Search --- p.69 / Chapter 5.2.2 --- The Second Pass Search --- p.72 / Chapter 5.3 --- Experimental Results --- p.73 / Chapter 5.4 --- Error Analysis and Discussions --- p.75 / Chapter 5.4.1 --- Vocabulary and Search --- p.75 / Chapter 5.4.2 --- Expansion of the Syllable Lattice --- p.76 / Chapter 5.4.3 --- Perplexity and Recognition Accuracy --- p.78 / Reference --- p.80 / Chapter 6 --- Conclusions and Suggestions for Future Work --- p.82 / Chapter 6.1 --- Conclusions --- p.82 / Chapter 6.2 --- Suggestions for future work --- p.84 / Chapter 1. --- Speaker Adaptation --- p.84 / Chapter 2. --- Tone Recognition --- p.84 / Reference --- p.85 / Appendix I Base Syllable Table --- p.86 / Appendix II Phonetic Question Set --- p.87

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_323154
Date January 2000
ContributorsWong, Yiu Wing., Chinese University of Hong Kong Graduate School. Division of Electronic Engineering.
Source SetsThe Chinese University of Hong Kong
LanguageEnglish, Chinese
Detected LanguageEnglish
TypeText, bibliography
Formatprint, xii, 88 leaves : ill. ; 30 cm.
RightsUse 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/)

Page generated in 0.0026 seconds