Speaker Authentication
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 id...
Guardado en:
| Autor principal: | |
|---|---|
| Formato: | Livre numérique |
| Lenguaje: | Anglais |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2012.
Cham : Springer Nature |
| Colección: | Signals and Communication Technology
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| Materias: | |
| Acceso en línea: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Speaker Authentication, Texte imprimé, 9783642237300 • Speaker Authentication, Texte imprimé, 9783642270888 • Speaker Authentication, Texte imprimé, 9783642237324 |
| LEADER | 04970nam a22003497a 4500 | ||
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| 001 | 950284 | ||
| 008 | 160105s2012 xx ||| |||| 00| 0 eng d | ||
| 009 | PPN19054645X | ||
| 020 | |a 9783642237317 (en ligne) | ||
| 041 | 0 | |a eng | |
| 082 | |a 621.382 | ||
| 100 | 1 | |a Li, Qi, |d 1955- | |
| 245 | 1 | 0 | |a Speaker Authentication |c by Qi (Peter) Li. |
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c 2012. | ||
| 490 | 0 | |a Signals and Communication Technology |x 1860-4870 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a What is speaker authentication? -- Statistical approaches to detection, identification and verification -- Representations of speaker characteristics for authentication purposes -- Robust endpoint detection and feature extraction -- Statistical models for dynamic pattern recognition -- Fundamental approaches to speaker verification and identification.-Discriminative training -- Relation among discriminative training objectives -- Fast discriminative training algorithms for real application -- Fast and detection-based decoding for a large group of users -- Verbal information verification -- Sequential speaker authentication -- Sequential multi-modality biometric tests. Microphone array for speaker authentication and speech recognition. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. chttps://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 tutorialbook 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. | ||
| 650 | |a Reconnaissance automatique de la parole | ||
| 776 | 0 | |t Speaker Authentication |b Texte imprimé |z 9783642237300 | |
| 776 | 0 | |t Speaker Authentication |b Texte imprimé |z 9783642270888 | |
| 776 | 0 | |t Speaker Authentication |b Texte imprimé |z 9783642237324 | |
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