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Attributes and extraction of tone information for continuous Cantonese speech recognition. / 連續粤語語音辨識裏的音調提取和音調特性 / Attributes and extraction of tone information for continuous Cantonese speech recognition. / Lian xu yue yu yu yin bian shi li de yin diao ti qu he yin diao te xing

Lau Wai = 連續粤語語音辨識裏的音調提取和音調特性 / 劉偉. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2000. / Includes bibliographical references. / Text in English; abstracts in English and Chinese. / Lau Wai = Lian xu yue yu yu yin bian shi li de yin diao ti qu he yin diao te xing / Liu Wei. / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Speech Recognition of Chinese --- p.3 / Chapter 1.2 --- Tone Recognition --- p.3 / Chapter 1.3 --- Use of Tone Information in Speech Recognition --- p.4 / Chapter 1.4 --- Thesis Objectives --- p.6 / Chapter 1.5 --- Organization of the Thesis --- p.6 / Reference --- p.8 / Chapter 2 --- Properties of Tones in Cantonese --- p.12 / Chapter 2.1 --- The Cantonese Dialect --- p.12 / Chapter 2.1.1 --- "INITIAL, FINAL & TONE" --- p.13 / Chapter 2.1.2 --- Phonological Constraints --- p.16 / Chapter 2.2 --- Tones in Cantonese --- p.17 / Chapter 2.2.1 --- Linguistic Significance --- p.17 / Chapter 2.2.2 --- Acoustic properties --- p.18 / Chapter 2.2.3 --- Discriminative Features of the Cantonese Tones --- p.20 / Chapter 2.3 --- Summary --- p.21 / Reference --- p.22 / Chapter 3 --- Extraction of Tone Features --- p.23 / Chapter 3.1 --- Feature Parameters for Tone Recognition --- p.23 / Chapter 3.1.1 --- F0 Features --- p.23 / Chapter 3.1.2 --- Energy Features --- p.24 / Chapter 3.1.3 --- Log Scale vs. Linear Scale --- p.25 / Chapter 3.2 --- Detection of Voiced Speech --- p.26 / Chapter 3.3 --- Robust Algorithm for Pitch Tracking --- p.27 / Chapter 3.3.1 --- Generation of Period Candidates --- p.27 / Chapter 3.3.2 --- Post-processing --- p.28 / Chapter 3.4 --- Normalization of Fundamental Frequency --- p.29 / Chapter 3.4.1 --- Derivation of the normalization factor --- p.31 / Chapter 3.4.2 --- Moving-Window Normalization --- p.32 / Chapter 3.4.3 --- Energy Normalization --- p.35 / Chapter 3.5 --- FO Smoothing --- p.36 / Chapter 3.6 --- Generation of Tone Feature Vectors --- p.37 / Chapter 3.7 --- Summary --- p.39 / Reference --- p.40 / Chapter 4 --- Tone Recognition using Hidden Markov Models --- p.43 / Chapter 4.1 --- Two Methods of Tone Modeling --- p.43 / Chapter 4.2 --- Hidden Markov Models for Speech Recognition --- p.44 / Chapter 4.3 --- Tone Modeling by HMM --- p.47 / Chapter 4.4 --- Context-Dependent Tone Models --- p.48 / Chapter 4.5 --- Baseline Experiments --- p.49 / Chapter 4.5.1 --- The Speech Database - CUSENT´ёØ --- p.49 / Chapter 4.5.2 --- Data Pre-Processing --- p.50 / Chapter 4.5.3 --- Performance of Context-Independent Models --- p.51 / Chapter 4.5.4 --- Context-Dependent Tone Modeling --- p.52 / Chapter 4.6 --- Experiments on Moving-window FO Normalization --- p.54 / Chapter 4.6.1 --- Symmetric window --- p.54 / Chapter 4.6.2 --- Asymmetric window --- p.55 / Chapter 4.6.3 --- Energy normalization --- p.58 / Chapter 4.7 --- Incorporation of Statistical Tone Information --- p.58 / Chapter 4.8 --- Discussions --- p.59 / Chapter 4.9 --- Summary --- p.60 / Reference --- p.61 / Chapter 5 --- Integration of Tone Informaton into LVCSR for Cantonese --- p.63 / Chapter 5.1 --- The Goal --- p.63 / Chapter 5.2 --- N-best Based Integration --- p.64 / Chapter 5.2.1 --- Base Syllable Recognition --- p.65 / Chapter 5.2.2 --- Tone Recognition --- p.66 / Chapter 5.2.3 --- Language Models --- p.66 / Chapter 5.2.4 --- Integration and N-best Re-scoring --- p.66 / Chapter 5.2.5 --- Experimental Results --- p.67 / Chapter 5.2.6 --- Integration with Perfect Tone Information --- p.68 / Chapter 5.3 --- Broad Tone Classes --- p.68 / Chapter 5.3.1 --- Experimental Results --- p.70 / Chapter 5.3.2 --- Error analyses and Discussions --- p.71 / Chapter 5.4 --- Lattice Based Integration --- p.73 / Chapter 5.4.1 --- Lattice Expansion --- p.74 / Chapter 5.4.2 --- Experiments on Lattice Based Integration --- p.76 / Chapter 5.5 --- Discussions --- p.78 / Chapter 5.6 --- Summary --- p.79 / Reference --- p.80 / Chapter 6 --- Conclusions and Future Work --- p.81 / Chapter 6.1 --- Conclusions --- p.81 / Chapter 6.2 --- Suggestions for Future Work --- p.84 / Reference --- p.85

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_323103
Date January 2000
ContributorsLau, Wai., 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, 85 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/)

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