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"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.
"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.
First comprehensive textbook to cover the latest developments in Speaker Recognition as well as fundamentals
Includes many applications ranging from person identification or verification to multimedia applications
Based on course material/tutorials of the author, a distinguished Adjunct Professor at Columbia University in New York, School of Engineering and Applied Science, and President and CEO of Recognition Technologies, Inc
Includes supplementary material: [...]
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.
| Erscheinungsjahr: | 2011 |
|---|---|
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Inhalt: |
lxi
942 S. |
| ISBN-13: | 9780387775913 |
| ISBN-10: | 0387775919 |
| Sprache: | Englisch |
| Herstellernummer: | 12201594 |
| Einband: | Gebunden |
| Autor: | Beigi, Homayoon |
| Hersteller: |
Springer US
Springer New York Springer US, New York, N.Y. |
| Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
| Maße: | 241 x 160 x 57 mm |
| Von/Mit: | Homayoon Beigi |
| Erscheinungsdatum: | 08.12.2011 |
| Gewicht: | 1,648 kg |
First comprehensive textbook to cover the latest developments in Speaker Recognition as well as fundamentals
Includes many applications ranging from person identification or verification to multimedia applications
Based on course material/tutorials of the author, a distinguished Adjunct Professor at Columbia University in New York, School of Engineering and Applied Science, and President and CEO of Recognition Technologies, Inc
Includes supplementary material: [...]
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.
| Erscheinungsjahr: | 2011 |
|---|---|
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Inhalt: |
lxi
942 S. |
| ISBN-13: | 9780387775913 |
| ISBN-10: | 0387775919 |
| Sprache: | Englisch |
| Herstellernummer: | 12201594 |
| Einband: | Gebunden |
| Autor: | Beigi, Homayoon |
| Hersteller: |
Springer US
Springer New York Springer US, New York, N.Y. |
| Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
| Maße: | 241 x 160 x 57 mm |
| Von/Mit: | Homayoon Beigi |
| Erscheinungsdatum: | 08.12.2011 |
| Gewicht: | 1,648 kg |
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