Incorporating Knowledge Sources into Statistical Speech Recognition (Lecture Notes in Electrical Engineering, 42, Band 42) - Hardcover

Buch 4 von 548: Lecture Notes in Electrical Engineering

Sakti, Sakriani; Markov, Konstantin; Nakamura, Satoshi; Minker, Wolfgang

 
9780387858296: Incorporating Knowledge Sources into Statistical Speech Recognition (Lecture Notes in Electrical Engineering, 42, Band 42)
Hardcover
ISBN 10: 0387858296 ISBN 13: 9780387858296
Verlag: Springer, 2009

Inhaltsangabe

Incorporating Knowledge Sources into Statistical Speech Recognition addresses the problem of developing efficient automatic speech recognition (ASR) systems, which maintain a balance between utilizing a wide knowledge of speech variability, while keeping the training / recognition effort feasible and improving speech recognition performance. The book provides an efficient general framework to incorporate additional knowledge sources into state-of-the-art statistical ASR systems. It can be applied to many existing ASR problems with their respective model-based likelihood functions in flexible ways.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Von der hinteren Coverseite

Incorporating Knowledge Sources into Statistical Speech Recognition offers solutions for enhancing the robustness of a statistical automatic speech recognition (ASR) system by incorporating various additional knowledge sources while keeping the training and recognition effort feasible.

The authors provide an efficient general framework for incorporating knowledge sources into state-of-the-art statistical ASR systems. This framework, which is called GFIKS (graphical framework to incorporate additional knowledge sources), was designed by utilizing the concept of the Bayesian network (BN) framework. This framework allows probabilistic relationships among different information sources to be learned, various kinds of knowledge sources to be incorporated, and a probabilistic function of the model to be formulated.

Incorporating Knowledge Sources into Statistical Speech Recognition demonstrates how the statistical speech recognition system may incorporate additional information sources by utilizing GFIKS at different levels of ASR. The incorporation of various knowledge sources, including background noises, accent, gender and wide phonetic knowledge information, in modeling is discussed theoretically and analyzed experimentally.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer
Erscheinungsdatum
2009
Sprache
Englisch
ISBN 10 
0387858296
ISBN 13 
9780387858296
Einband
Gebundene Ausgabe
Anzahl der Seiten
220
Kontakt zum Hersteller
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

Tiergartenstr. 17
Heidelberg
69121
Deutschland

Weitere beliebte Ausgaben desselben Titels

9781441946768: Incorporating Knowledge Sources into Statistical Speech Recognition (Lecture Notes in Electrical Engineering, Band 42)

Vorgestellte Ausgabe

ISBN 10:  1441946764 ISBN 13:  9781441946768
Verlag: Springer, 2010
Softcover