Return to search

Subband spectral features for speaker recognition.

Tam Yuk Yin. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2004. / Includes bibliographical references. / Abstracts in English and Chinese. / Chapter Chapter 1 --- Introduction --- p.1 / Chapter 1.1. --- Biometrics for User Authentication --- p.2 / Chapter 1.2. --- Voice-based User Authentication --- p.6 / Chapter 1.3. --- Motivation and Focus of This Work --- p.7 / Chapter 1.4. --- Thesis Outline --- p.9 / References --- p.11 / Chapter Chapter 2 --- Fundamentals of Automatic Speaker Recognition --- p.14 / Chapter 2.1. --- Speech Production --- p.14 / Chapter 2.2. --- Features of Speaker's Voice in Speech Signal --- p.16 / Chapter 2.3. --- Basics of Speaker Recognition --- p.19 / Chapter 2.4. --- Existing Approaches of Speaker Recognition --- p.20 / Chapter 2.4.1. --- Feature Extraction --- p.21 / Chapter 2.4.1.1 --- Overview --- p.21 / Chapter 2.4.1.2 --- Mel-Frequency Cepstral Coefficient (MFCC) --- p.21 / Chapter 2.4.2. --- Speaker Modeling --- p.24 / Chapter 2.4.2.1 --- Overview --- p.24 / Chapter 2.4.2.2 --- Gaussian Mixture Model (GMM) --- p.25 / Chapter 2.4.3. --- Speaker Identification (SID) --- p.26 / References --- p.29 / Chapter Chapter 3 --- Data Collection and Baseline System --- p.32 / Chapter 3.1. --- Data Collection --- p.32 / Chapter 3.2. --- Baseline System --- p.36 / Chapter 3.2.1. --- Experimental Set-up --- p.36 / Chapter 3.2.2. --- Results and Analysis --- p.39 / References --- p.42 / Chapter Chapter 4 --- Subband Spectral Envelope Features --- p.44 / Chapter 4.1. --- Spectral Envelope Features --- p.44 / Chapter 4.2. --- Subband Spectral Envelope Features --- p.46 / Chapter 4.3. --- Feature Extraction Procedures --- p.52 / Chapter 4.4. --- SID Experiments --- p.55 / Chapter 4.4.1. --- Experimental Set-up --- p.55 / Chapter 4.4.2. --- Results and Analysis --- p.55 / References --- p.62 / Chapter Chapter 5 --- Fusion of Subband Features --- p.63 / Chapter 5.1. --- Model Level Fusion --- p.63 / Chapter 5.1.1. --- Experimental Set-up --- p.63 / Chapter 5.1.2. --- "Results and Analysis," --- p.65 / Chapter 5.2. --- Feature Level Fusion --- p.69 / Chapter 5.2.1. --- Experimental Set-up --- p.70 / Chapter 5.2.2. --- "Results and Analysis," --- p.71 / Chapter 5.3. --- Discussion --- p.73 / References --- p.75 / Chapter Chapter 6 --- Utterance-Level SID with Text-Dependent Weights --- p.77 / Chapter 6.1. --- Motivation --- p.77 / Chapter 6.2. --- Utterance-Level SID --- p.78 / Chapter 6.3. --- Baseline System --- p.79 / Chapter 6.3.1. --- Implementation Details --- p.79 / Chapter 6.3.2. --- "Results and Analysis," --- p.80 / Chapter 6.4. --- Text-Dependent Weights --- p.81 / Chapter 6.4.1. --- Implementation Details --- p.81 / Chapter 6.4.2. --- "Results and Analysis," --- p.83 / Chapter 6.5. --- Text-Dependent Feature Weights --- p.86 / Chapter 6.5.1. --- Implementation Details --- p.86 / Chapter 6.5.2. --- "Results and Analysis," --- p.87 / Chapter 6.6. --- Text-Dependent Weights Applied in Score Combination and Subband Features --- p.88 / Chapter 6.6.1. --- Implementation Details --- p.89 / Chapter 6.6.2. --- Results and Analysis --- p.89 / Chapter 6.7. --- Discussion --- p.90 / Chapter Chapter 7 --- Conclusions and Suggested Future Work --- p.92 / Chapter 7.1. --- Conclusions --- p.92 / Chapter 7.2. --- Suggested Future Work --- p.94 / Appendix --- p.96 / Appendix 1 Speech Content for Data Collection --- p.96

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_324693
Date January 2004
ContributorsTam, Yuk Yin., 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, xi, 97 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