This dissertation details the implementation of a real-time, speaker-independent telephone auto attendant from first principles on limited quality speech data. An auto attendant is a computerized agent that answers the phone and switches the caller through to the desired person's extension after conducting a limited dialogue to determine the wishes of the caller, through the use of speech recognition technology. The platform is a computer with a telephone interface card. The speech recognition engine uses whole word hidden Markov modelling, with limited vocabulary and constrained (finite state) grammar. The feature set used is based on Mel frequency spaced cepstral coefficients. The Viterbi search is used together with the level building algorithm to recognise speech within the utterances. Word-spotting techniques including a "garbage" model, are used. Various techniques compensating for noise and a varying channel transfer function are employed to improve the recognition rate. An Afrikaans conversational interface prompts the caller for information. Detailed experiments illustrate the dependence and sensitivity of the system on its parameters, and show the influence of several techniques aimed at improving the recognition rate. / Dissertation (MEng (Computer Engineering))--University of Pretoria, 2006. / Electrical, Electronic and Computer Engineering / unrestricted

by Moon-Tong Chan. / Thesis submitted in: December 1997. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1998. / Includes bibliographical references (leaves 123-124). / Abstract also in Chinese. / Chapter Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- The Data Set --- p.8 / Chapter Chapter 2 --- The Box-Jenkins Time Series Models --- p.15 / Chapter 2.1 --- The White-noise Process --- p.16 / Chapter 2.2 --- Stationarity of Time Series --- p.17 / Chapter 2.3 --- Differencing --- p.19 / Chapter 2.4 --- Seasonal ARIMA Models - SARIMA Models --- p.20 / Chapter 2.5 --- Intervention Models --- p.22 / Chapter 2.6 --- The Three Phases of ARMA Procedure --- p.24 / Chapter Chapter 3 --- Seasonal ARMA Models with Several Mean Levels --- p.38 / Chapter 3.1 --- Review of Linear Models --- p.40 / Chapter 3.1.1 --- Method of Weighted Least Squares --- p.41 / Chapter 3.2 --- The Proposed Model --- p.41 / Chapter 3.2.1 --- The Weightings --- p.43 / Chapter 3.2.2 --- Selection of Submodels --- p.45 / Chapter 3.2.3 --- Estimation of Model (3.4) --- p.46 / Chapter 3.3 --- Model Adequacy Checking --- p.55 / Chapter 3.3.1 --- Checking of Independence of Residuals --- p.56 / Chapter 3.3.2 --- Checking of Normality of Residuals --- p.58 / Chapter 3.4 --- Forecasting --- p.62 / Chapter Chapter 4 --- Comparison --- p.77 / Chapter 4.1 --- Similarities and Differences Between the Two Models --- p.78 / Chapter 4.2 --- Model Comparative Criterion --- p.81 / Chapter 4.2.1 --- Model Fitting Comparison --- p.82 / Chapter 4.2.2 --- Model Forecasting Comparison --- p.83 / Chapter 4.3 --- Conclusion --- p.90 / Chapter 4.4 --- Generation of Predicted Hourly Calls --- p.91 / Chapter 4.5 --- Extension --- p.92 / Appendix A --- p.97 / Appendix B --- p.105 / Appendix C --- p.122 / References --- p.123

Thesis (M.A.)--University of Hong Kong, 1987. / Also available in print.

by Chan Kit Ping, Wendy. / Includes questionnaire in Chinese. / Thesis (M.B.A.)--Chinese University of Hong Kong, 1994. / Includes bibliographical references (leaves 50-52). / ABSTRACT --- p.ii / TABLE OF CONTENTS --- p.iv / LIST OF FIGURES --- p.vi / LIST OF TABLES --- p.vii / ACKNOWLEDGEMENT --- p.viii / Chapter / Chapter I. --- INTRODUCTION --- p.1 / Chapter II. --- FACTORS THAT CONTRIBUTE TO THE DEVELOPMENT OF TELEPHONE BANKING SERVICE IN HONG KONG --- p.7 / High Telephone Usage in Hong Kong --- p.7 / Telephone Banking Service as Differentiation Weapon --- p.8 / Hectic Life Style of Hong Kong People --- p.8 / High Property Prices in Hong Kong --- p.8 / Labor Shortage in Hong Kong --- p.9 / Chapter III. --- INDUSTRY REVIEW --- p.10 / Development of Telephone Banking Service in Hong Kong --- p.10 / Procedure of Using Telephone Banking Service --- p.12 / Variants of Telephone Banking Services --- p.16 / Chapter IV. --- LITERATURE REVIEW --- p.20 / Adoption of a Service Innovation --- p.21 / Adoption of New Banking Technology --- p.21 / Hypotheses Setting --- p.25 / Chapter V. --- RESEARCH METHOD --- p.27 / Research Information Needed --- p.27 / Research Design --- p.29 / Demographic Characteristics of the Sample --- p.33 / Chapter VI. --- RESEARCH ANALYSIS --- p.34 / Awareness of Telephone Banking Service in Hong Kong --- p.34 / Way of Learning about Telephone Banking Service --- p.34 / Adoption of the Service --- p.35 / Reasons for Using the Service --- p.35 / Frequency of Using Telephone Banking Services --- p.36 / Most Frequently Used Services --- p.36 / Satisfaction Level of Users --- p.37 / Reasons for Not Using the Service --- p.37 / Attitude Towards Telephone Banking Service --- p.37 / Psychographic Characteristics of Users vs Non-users --- p.38 / Chapter VII. --- RECOMMENDATIONS --- p.40 / Ways to Recruit New Users --- p.40 / Ways to Encourage More Usage from Existing Users --- p.43 / Operational Recommendations --- p.44 / Chapter VIII. --- LIMITATIONS AND SUGGESTIONS --- p.46 / Questionnaire Setting --- p.45 / Sample Size --- p.47 / The Use of Personal Questions --- p.48 / Suggestions for Future Researches --- p.48 / BIBLIOGRAPHY --- p.50 / APPENDIX --- p.53 / Questionnaire --- p.53 / Figures 1-13 --- p.63-80 / Tables 1-13 --- p.81-93

Thesis (MPhil (General Linguistics))--University of Stellenbosch, 2009.

published_or_final_version / Language Studies / Master / Master of Arts