Fundamentals of Speaker Recognition [recurso electrónico] / by Homayoon Beigi.

Por: Beigi, Homayoon [author.]Colaborador(es): SpringerLink (Online service)Tipo de material: TextoTextoEditor: Boston, MA : Springer US, 2011Edición: 1Descripción: LXI, 942p. 177 illus. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9780387775920Tema(s): Engineering | Coding theory | Optical pattern recognition | Biometrics | Acoustics | Engineering | Signal, Image and Speech Processing | Biometrics | Pattern Recognition | Security Science and Technology | Coding and Information Theory | AcousticsFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 621.382 Clasificación LoC:TK5102.9TA1637-1638TK7882.S65Recursos en línea: Libro electrónicoTexto
Contenidos:
Preface -- Basic Theory -- Introduction -- Speaker and Vocal Tract Modeling -- Signal Processing and Feature Extraction Techniques -- Data Representation and Probability Distributions -- Information Theory -- Metrics and Distortion Measures Bayesian Learning and Gaussian Mixture Modeling -- Parameter Estimation and Learning -- Hidden Markov Modeling (HMM) -- Support Vector Machines -- Neural Networks -- Advanced Theory -- Speaker Modeling -- Algorithms -- Practice -- Speaker Recognition -- Overall Design -- Representation of Results.- Glossary -- Index.
En: Springer eBooksResumen: An emerging technology, Speaker Recognition is becoming well-known for providing voice authentication over the telephone for helpdesks, call centres and other enterprise businesses for business process automation. "Fundamentals of Speaker Recognition" introduces Speaker Identification, Speaker Verification, Speaker (Audio Event) Classification, Speaker Detection, Speaker Tracking and more. The technical problems are rigorously defined, and a complete picture is made of the relevance of the discussed algorithms and their usage in building a comprehensive Speaker Recognition System. Designed as a textbook with examples and exercises at the end of each chapter, "Fundamentals of Speaker Recognition" is suitable for advanced-level students in computer science and engineering, concentrating on biometrics, speech recognition, pattern recognition, signal processing and, specifically, speaker recognition. It is also a valuable reference for developers of commercial technology and for speech scientists. Please click on the link under "Additional Information" to view supplemental information including the Table of Contents and Index.
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Tipo de ítem Biblioteca actual Colección Signatura Copia número Estado Fecha de vencimiento Código de barras
Libro Electrónico Biblioteca Electrónica
Colección de Libros Electrónicos TK5102.9 (Browse shelf(Abre debajo)) 1 No para préstamo 370259-2001

Preface -- Basic Theory -- Introduction -- Speaker and Vocal Tract Modeling -- Signal Processing and Feature Extraction Techniques -- Data Representation and Probability Distributions -- Information Theory -- Metrics and Distortion Measures Bayesian Learning and Gaussian Mixture Modeling -- Parameter Estimation and Learning -- Hidden Markov Modeling (HMM) -- Support Vector Machines -- Neural Networks -- Advanced Theory -- Speaker Modeling -- Algorithms -- Practice -- Speaker Recognition -- Overall Design -- Representation of Results.- Glossary -- Index.

An emerging technology, Speaker Recognition is becoming well-known for providing voice authentication over the telephone for helpdesks, call centres and other enterprise businesses for business process automation. "Fundamentals of Speaker Recognition" introduces Speaker Identification, Speaker Verification, Speaker (Audio Event) Classification, Speaker Detection, Speaker Tracking and more. The technical problems are rigorously defined, and a complete picture is made of the relevance of the discussed algorithms and their usage in building a comprehensive Speaker Recognition System. Designed as a textbook with examples and exercises at the end of each chapter, "Fundamentals of Speaker Recognition" is suitable for advanced-level students in computer science and engineering, concentrating on biometrics, speech recognition, pattern recognition, signal processing and, specifically, speaker recognition. It is also a valuable reference for developers of commercial technology and for speech scientists. Please click on the link under "Additional Information" to view supplemental information including the Table of Contents and Index.

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