Through practical cases, the author explores, dissect and examine how soft computing may complement conventional techniques in speech enhancement and speech recognition in order to provide robust systems. Includes coverage of synergy between speech technology and bio-inspired soft computing methods. The material is especially useful to graduate students and experienced researchers who are interested in expanding their horizon and in investigating new research directions through a review of the theoretical and practical settings of soft computing methods in very recent speech applications.
Through practical cases, the author explores, dissect and examine how soft computing may complement conventional techniques in speech enhancement and speech recognition in order to provide robust systems. Includes coverage of synergy between speech technology and bio-inspired soft computing methods. The material is especially useful to graduate students and experienced researchers who are interested in expanding their horizon and in investigating new research directions through a review of the theoretical and practical settings of soft computing methods in very recent speech applications.
Produktdetails
Produktdetails
SpringerBriefs in Electrical and Computer Engineering
Artikelnr. des Verlages: 80032350, 978-1-4419-9684-8
2012
Seitenzahl: 116
Erscheinungstermin: 1. September 2011
Englisch
Abmessung: 235mm x 155mm x 7mm
Gewicht: 190g
ISBN-13: 9781441996848
ISBN-10: 1441996842
Artikelnr.: 32984322
Herstellerkennzeichnung
Books on Demand GmbH
In de Tarpen 42
22848 Norderstedt
info@bod.de
040 53433511
Inhaltsangabe
Part I. Soft Computing and Speech Enhancement.- 1: Speech Enhancement: Problem Formulation, Theories and Techniques.- 2: Connectionist Approaches in Speech Enhancement.- 3: Subspace-decomposition Methods.- 4: Evolutionary Algorithms and Speech Enhancement.- 5: Hybrid Approaches of Enhancement and Applications in Noisy Telecommunication Channels.- PART II: Soft Computing and Automatic Speech Recognition (ASR).- 1: Issues and Challenges of Automatic Speech Recognition. - 2: Artificial Neural Networks and Speech Recognition.- 3: Evolutionary Algorithms and Speech Recognition.- 4: Model Adaptation Using Hybrid Approaches.- 5: Applications of Robust ASR Using Soft Computing in Mobile Communications.
Part I. Soft Computing and Speech Enhancement.- 1: Speech Enhancement: Problem Formulation, Theories and Techniques.- 2: Connectionist Approaches in Speech Enhancement.- 3: Subspace-decomposition Methods.- 4: Evolutionary Algorithms and Speech Enhancement.- 5: Hybrid Approaches of Enhancement and Applications in Noisy Telecommunication Channels.- PART II: Soft Computing and Automatic Speech Recognition (ASR).- 1: Issues and Challenges of Automatic Speech Recognition. - 2: Artificial Neural Networks and Speech Recognition.- 3: Evolutionary Algorithms and Speech Recognition.- 4: Model Adaptation Using Hybrid Approaches.- 5: Applications of Robust ASR Using Soft Computing in Mobile Communications.
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