by Chow Ka Fai. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1998. / Includes bibliographical references (leaves [124-132]). / Text in English; abstract also in Chinese. / by Chow Ka Fai. / Chapter 1 --- INTRODUCTION --- p.1 / Chapter 1.1 --- Speech Recognition Technology --- p.4 / Chapter 1.2 --- Automatic Recognition of Cantonese Speech --- p.6 / Chapter 1.3 --- Objectives of the thesis --- p.8 / Chapter 1.4 --- Thesis Outline --- p.11 / Chapter 2 --- FUNDAMENTALS OF HMM BASED RECOGNITION SYSTEM --- p.13 / Chapter 2.1 --- Introduction --- p.13 / Chapter 2.2 --- HMM Fundamentals --- p.13 / Chapter 2.2.1 --- HMM Structure and Behavior --- p.13 / Chapter 2.2.2 --- HMM-based Speech Modeling --- p.15 / Chapter 2.2.3 --- Mathematics --- p.18 / Chapter 2.3 --- hmm Based Speech Recognition System --- p.22 / Chapter 2.3.1 --- Isolated Speech Recognition --- p.23 / Chapter 2.3.2 --- Connected Speech Recognition --- p.25 / Chapter 2.4 --- Algorithms for Finding Hidden State Sequence --- p.28 / Chapter 2.4.1 --- Forward-backward algorithm --- p.29 / Chapter 2.4.2 --- Viterbi Decoder Algorithm --- p.31 / Chapter 2.5 --- Parameter Estimation --- p.32 / Chapter 2.5.1 --- Basic Ideas for Estimation --- p.32 / Chapter 2.5.2 --- Single Model Re-estimation Using Best State-Time Alignment (HINIT) --- p.36 / Chapter 2.5.3 --- Single Model Re-estimation Using Baum- Welch Method (HREST) --- p.39 / Chapter 2.5.4 --- HMM Embedded Re-estimation (HEREST) --- p.41 / Chapter 2.6 --- Feature Extraction --- p.42 / Chapter 2.7 --- Summary --- p.47 / Chapter 3 --- CANTONESE PHONOLOGY AND LANGUAGE PROPERTIES --- p.48 / Chapter 3.1 --- Introduction --- p.48 / Chapter 3.2 --- Cantonese and Chinese Language --- p.48 / Chapter 3.2.1 --- Chinese Words and Characters --- p.48 / Chapter 3.2.2 --- The Relationship between Cantonese and Chinese Characters --- p.50 / Chapter 3.3 --- Basic Syllable structure --- p.51 / Chapter 3.3.1 --- CVC structure --- p.51 / Chapter 3.3.2 --- Cantonese Phonemes --- p.52 / Chapter 3.3.3 --- The Initial-Final structure --- p.55 / Chapter 3.3.4 --- Cantonese Nine Tone System --- p.57 / Chapter 3.4 --- Acoustic Properties of Cantonese --- p.58 / Chapter 3.5 --- Cantonese Phonology for Speech Recognition --- p.60 / Chapter 3.6 --- Summary --- p.62 / Chapter 4 --- CANTONESE SPEECH DATABASES --- p.64 / Chapter 4.1 --- Introduction --- p.64 / Chapter 4.2 --- The Importance of Speech Data --- p.64 / Chapter 4.3 --- The Demands of Cantonese Speech Databases --- p.67 / Chapter 4.4 --- Principles in Cantonese Database Development --- p.67 / Chapter 4.5 --- Resources and Limitations for Database Designs --- p.69 / Chapter 4.6 --- Details of Speech Databases --- p.69 / Chapter 4.6.1 --- Multiple speakers' Speech Database (CUWORD) --- p.70 / Chapter 4.6.2 --- Single Speaker's Speech Database (MYVOICE) --- p.72 / Chapter 4.7 --- Difficulties and Solutions in Recording Process --- p.76 / Chapter 4.8 --- Verification of Phonetic Transcription --- p.78 / Chapter 4.9 --- Summary --- p.79 / Chapter 5 --- TRAINING OF AN HMM BASED CANTONESE SPEECH RECOGNITION SYSTEM --- p.80 / Chapter 5.1 --- Introduction --- p.80 / Chapter 5.2 --- Objectives of HMM Development --- p.81 / Chapter 5.3 --- The Design of Initial-Final Models --- p.83 / Chapter 5.4 --- Initialization of Basic Initial-Final Models --- p.84 / Chapter 5.4.1 --- The Initialization Training with HEREST --- p.85 / Chapter 5.4.2 --- Refinement of Initialized Models --- p.88 / Chapter 5.4.3 --- Evaluation of the Models --- p.90 / Chapter 5.5 --- Training of Connected Speech Speaker Dependent Models --- p.93 / Chapter 5.5.1 --- Training Strategy --- p.93 / Chapter 5.5.2 --- Preliminary Result --- p.94 / Chapter 5.6 --- Design and Training of Context Dependent Initial Final Models --- p.95 / Chapter 5.6.1 --- Intra-syllable Context Dependent Units --- p.96 / Chapter 5.6.2 --- The Inter-syllable Context Dependent Units --- p.97 / Chapter 5.6.3 --- Model Refinement by Using Mixture Incrementing --- p.98 / Chapter 5.7 --- Training of Speaker Independent Models --- p.99 / Chapter 5.8 --- Discussions --- p.100 / Chapter 5.9 --- Summary --- p.101 / Chapter 6 --- PERFORMANCE ANALYSIS --- p.102 / Chapter 6.1 --- Substitution Errors --- p.102 / Chapter 6.1.1 --- Confusion of Long Vowels and Short Vowels for Initial Stop Consonants --- p.102 / Chapter 6.1.2 --- Confusion of Nasal Endings --- p.103 / Chapter 6.1.3 --- Confusion of Final Stop Consonants --- p.104 / Chapter 6.2 --- Insertion Errors and Deletion Errors --- p.105 / Chapter 6.3 --- Accuracy of Individual Models --- p.106 / Chapter 6.4 --- The Impact of Individual Models --- p.107 / Chapter 6.4.1 --- The Expected Error Rate of Initial Models --- p.110 / Chapter 6.4.2 --- The Expected Error Rate of Final Models --- p.111 / Chapter 6.5 --- Suggested Solutions for Error Reduction --- p.113 / Chapter 6.5.1 --- Duration Constraints --- p.113 / Chapter 6.5.2 --- The Use of Language Model --- p.113 / Chapter 6.6 --- Summary --- p.114 / Chapter 7 --- APPLICATIONS EXAMPLES OF THE HMM RECOGNITION SYSTEM --- p.115 / Chapter 7.1 --- Introduction --- p.115 / Chapter 7.2 --- Application 1: A Hong Kong Stock Market Inquiry System --- p.116 / Chapter 7.3 --- Application 2： A Navigating System for Hong Kong Street Map --- p.117 / Chapter 7.4 --- Automatic Character-to-Phonetic Conversion --- p.118 / Chapter 7.5 --- Summary --- p.119 / Chapter 8 --- CONCLUSIONS AND SUGGESTIONS FOR FURTHER WORK --- p.120 / Chapter 8.1 --- Conclusions --- p.120 / Chapter 8.2 --- Suggestions for Future Work --- p.122 / Chapter 8.2.1 --- Development of Continuous Speech Recognition System --- p.122 / Chapter 8.2.2 --- Implementation of Statistical Language Models --- p.122 / Chapter 8.2.3 --- Tones for Continuous Speech --- p.123 / BIBILOGRAPHY / APPENDIX
| Identifer | oai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_322348 |
| Date | January 1998 |
| Contributors | Chow, Ka Fai., 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, 123, [19] 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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