TY - BOOK ID - 14302173 TI - Speaker authentication PY - 2012 SN - 3642237304 9786613451170 1283451174 3642237312 PB - Heidelberg : Springer, DB - UniCat KW - Automatic speech recognition. KW - Automatic speech recognition KW - Electrical & Computer Engineering KW - Engineering & Applied Sciences KW - Telecommunications KW - Applied Physics KW - Electrical Engineering KW - Mechanical speech recognizer KW - Speech recognition, Automatic KW - Engineering. KW - Pattern recognition. KW - Biomedical engineering. KW - Signal, Image and Speech Processing. KW - Pattern Recognition. KW - Biomedical Engineering. KW - Clinical engineering KW - Medical engineering KW - Bioengineering KW - Biophysics KW - Engineering KW - Medicine KW - Design perception KW - Pattern recognition KW - Form perception KW - Perception KW - Figure-ground perception KW - Construction KW - Industrial arts KW - Technology KW - Pattern recognition systems KW - Perceptrons KW - Speech, Intelligibility of KW - Speech perception KW - Speech processing systems KW - Optical pattern recognition. KW - Biomedical Engineering and Bioengineering. KW - Optical data processing KW - Pattern perception KW - Visual discrimination KW - Signal processing. KW - Image processing. KW - Speech processing systems. KW - Computational linguistics KW - Electronic systems KW - Information theory KW - Modulation theory KW - Oral communication KW - Speech KW - Telecommunication KW - Singing voice synthesizers KW - Pictorial data processing KW - Picture processing KW - Processing, Image KW - Imaging systems KW - Processing, Signal KW - Information measurement KW - Signal theory (Telecommunication) UR - https://www.unicat.be/uniCat?func=search&query=sysid:14302173 AB - This book focuses on use of voice as a biometric measure for personal authentication. In particular, "Speaker Recognition" covers two approaches in speaker authentication: speaker verification (SV) and verbal information verification (VIV). The SV approach attempts to verify a speaker’s identity based on his/her voice characteristics while the VIV approach validates a speaker’s identity through verification of the content of his/her utterance(s). SV and VIV can be combined for new applications. This is still a new research topic with significant potential applications. The book provides with a broad overview of the recent advances in speaker authentication while giving enough attention to advanced and useful algorithms and techniques. It also provides a step by step introduction to the current state of the speaker authentication technology, from the fundamental concepts to advanced algorithms. We will also present major design methodologies and share our experience in developing real and successful speaker authentication systems. Advanced and useful topics and algorithms are selected with real design examples and evaluation results. Special attention is given to the topics related to improving overall system robustness and performances, such as robust endpoint detection, fast discriminative training theory and algorithms, detection-based decoding, sequential authentication, etc. For example, the sequential authentication was developed based on statistical sequential testing theory. By adding enough subtests, a speaker authentication system can achieve any accuracy requirement. The procedure of designing the sequential authentication will be presented. For any presented technique, we will provide experimental results to validate the usefulness. We will also highlight the important developments in academia, government, and industry, and outline a few open issues. As the methodologies developed in speaker authentication span several diverse fields, the tutorial book provides an introductory forum for a broad spectrum of researchers and developers from different areas to acquire the knowledge and skills to engage in the interdisciplinary fields of user authentication, biometrics, speech and speaker recognition, multimedia, and dynamic pattern recognition. ER -