Zum Hauptinhalt springen Zur Suche springen Zur Hauptnavigation springen
Dekorationsartikel gehören nicht zum Leistungsumfang.
Robust Speaker Recognition in Noisy Environments
Taschenbuch von Sourjya Sarkar (u. a.)
Sprache: Englisch

46,95 €*

inkl. MwSt.

Versandkostenfrei per Post / DHL

Lieferzeit 4-7 Werktage

Produkt Anzahl: Gib den gewünschten Wert ein oder benutze die Schaltflächen um die Anzahl zu erhöhen oder zu reduzieren.
Kategorien:
Beschreibung
This book discusses speaker recognition methods to deal with realistic variable noisy environments. The text covers authentication systems for; robust noisy background environments, functions in real time and incorporated in mobile devices. The book focuses on different approaches to enhance the accuracy of speaker recognition in presence of varying background environments. The authors examine: (a) Feature compensation using multiple background models, (b) Feature mapping using data-driven stochastic models, (c) Design of super vector- based GMM-SVM framework for robust speaker recognition, (d) Total variability modeling (i-vectors) in a discriminative framework and (e) Boosting method to fuse evidences from multiple SVM models.
This book discusses speaker recognition methods to deal with realistic variable noisy environments. The text covers authentication systems for; robust noisy background environments, functions in real time and incorporated in mobile devices. The book focuses on different approaches to enhance the accuracy of speaker recognition in presence of varying background environments. The authors examine: (a) Feature compensation using multiple background models, (b) Feature mapping using data-driven stochastic models, (c) Design of super vector- based GMM-SVM framework for robust speaker recognition, (d) Total variability modeling (i-vectors) in a discriminative framework and (e) Boosting method to fuse evidences from multiple SVM models.
Über den Autor
K. Sreenivasa Rao, Associate Professor, School of Information Technology, Indian Institute of Technology Kharagpur (IIT Kharagpur). Sourjya Sarkar is a graduate student at the Indian Institute of Technology Kharagpur.
Zusammenfassung

Discusses the effect of noise, stochastic feature compensation methods based on Gaussian Mixture models (GMMs)

Demonstrates the standards for speaker databases and noisy environments

Includes supplementary material: [...]

Inhaltsverzeichnis
Robust Speaker Verification - A Review.- Speaker Verification in Noisy Environments using Gaussian Mixture Models.- Stochastic Feature Compensation for Robust Speaker Verification.- Robust Speaker Modeling for Speaker Verification in Noisy Environments.
Details
Erscheinungsjahr: 2014
Fachbereich: Nachrichtentechnik
Genre: Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: xii
139 S.
6 s/w Illustr.
25 farbige Illustr.
139 p. 31 illus.
25 illus. in color.
ISBN-13: 9783319071299
ISBN-10: 3319071297
Sprache: Englisch
Herstellernummer: 86362249
Einband: Kartoniert / Broschiert
Autor: Sarkar, Sourjya
Rao, K. Sreenivasa
Hersteller: Springer International Publishing
Springer International Publishing AG
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 235 x 155 x 9 mm
Von/Mit: Sourjya Sarkar (u. a.)
Erscheinungsdatum: 17.07.2014
Gewicht: 0,27 kg
Artikel-ID: 105223187
Über den Autor
K. Sreenivasa Rao, Associate Professor, School of Information Technology, Indian Institute of Technology Kharagpur (IIT Kharagpur). Sourjya Sarkar is a graduate student at the Indian Institute of Technology Kharagpur.
Zusammenfassung

Discusses the effect of noise, stochastic feature compensation methods based on Gaussian Mixture models (GMMs)

Demonstrates the standards for speaker databases and noisy environments

Includes supplementary material: [...]

Inhaltsverzeichnis
Robust Speaker Verification - A Review.- Speaker Verification in Noisy Environments using Gaussian Mixture Models.- Stochastic Feature Compensation for Robust Speaker Verification.- Robust Speaker Modeling for Speaker Verification in Noisy Environments.
Details
Erscheinungsjahr: 2014
Fachbereich: Nachrichtentechnik
Genre: Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: xii
139 S.
6 s/w Illustr.
25 farbige Illustr.
139 p. 31 illus.
25 illus. in color.
ISBN-13: 9783319071299
ISBN-10: 3319071297
Sprache: Englisch
Herstellernummer: 86362249
Einband: Kartoniert / Broschiert
Autor: Sarkar, Sourjya
Rao, K. Sreenivasa
Hersteller: Springer International Publishing
Springer International Publishing AG
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 235 x 155 x 9 mm
Von/Mit: Sourjya Sarkar (u. a.)
Erscheinungsdatum: 17.07.2014
Gewicht: 0,27 kg
Artikel-ID: 105223187
Sicherheitshinweis

Ähnliche Produkte

Ähnliche Produkte