Robustness-related issues in speaker recognition

This book presents an overview of speaker recognition technologies with an emphasis on dealing with robustness issues. Firstly, the book gives an overview of speaker recognition, such as the basic system framework, categories under different criteria, performance evaluation and its development histo...

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Bibliographic Details
Main Authors Zheng, Thomas Fang (Author), Li, Lantian (Author)
Format Electronic eBook
LanguageEnglish
Published Singapore : Springer, [2017]
SeriesSpringerBriefs in electrical and computer engineering. Signal processing.
Subjects
Automatic speech recognition.
Speech perception.
Voice.
elektronické knihy
electronic books
Online AccessFull text
ISBN9789811032387
9789811032370
Physical Description1 online resource : illustrations

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Table of Contents:
  • Preface; Acknowledgements; Contents; 1 Speaker Recognition: Introduction; 1.1 Basic Concepts; 1.2 Development History; 1.3 System Framework; 1.4 Categories; 1.4.1 Identification, Verification, Detection, and Tracking; 1.4.2 Text-Dependent, Text-Independent and Text-Prompted; 1.5 Performance Evaluations; 1.5.1 Evaluation Metrics for Verification or Open-Set Identification; 1.5.2 Evaluation Metrics for Close-Set Identification; References; 2 Environment-Related Robustness Issues; 2.1 Background Noise; 2.1.1 Speech Enhancement; 2.1.2 Feature Compensation; 2.1.3 Robust Modeling.
  • 2.1.4 Score Normalization2.2 Channel Mismatch; 2.2.1 Feature Transformation; 2.2.2 Channel Compensation; 2.2.3 Score Normalization; 2.3 Multiple Speakers; 2.3.1 Robust Features; 2.3.2 Robust Speaker Models; 2.3.3 Segmentation and Clustering Algorithms; 2.4 Discussions; References; 3 Speaker-Related Robustness Issues; 3.1 Genders; 3.2 Physical Conditions; 3.3 Speaking Styles; 3.3.1 Emotion; 3.3.2 Speaking Rate; 3.3.3 Idiom; 3.4 Cross Languages; 3.5 Time Varying; 3.6 Discussion; References; 4 Application-Oriented Robustness Issues; 4.1 Application Scenarios; 4.1.1 User Authentication.
  • 4.1.2 Public Security and Judicature4.1.3 Speaker Adaptation in Speech Recognition; 4.1.4 Multi-speaker Environments; 4.1.5 Personalization; 4.2 Short Utterance; 4.3 Anti-spoofing; 4.3.1 Impersonation; 4.3.2 Speech Synthesis; 4.3.3 Voice Conversion; 4.3.4 Replay; 4.3.5 Voice Liveness Detection; 4.4 Cross Encoding Schemes; 4.5 Discussion; References; 5 Conclusions and Future Work.

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