A Subspace Approach For Speech Signal Modelling And Classification | Theory and Algorithm

Alan W. C. Tan

ISBN 10: 3846504106 / ISBN 13: 9783846504109

Published by LAP LAMBERT Academic Publishing, 2011

About this Item

A Subspace Approach For Speech Signal Modelling And Classification | Theory and Algorithm | Alan W. C. Tan | Taschenbuch | 128 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783846504109 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 106795409

Bibliographic Details

• Title: A Subspace Approach For Speech Signal Modelling And Classification | Theory and Algorithm
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2011
• Language: English
• ISBN 10: 3846504106
• ISBN 13: 9783846504109
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 9D millimeters 220 millimeters width by 150 millimeters height by 9 millimeters depth
• Weight: 209 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

The subspace approach in speech signal analysis is commonly associated with the deployment of the singular value decomposition (SVD), or equivalently the eigendecomposition, to reveal useful subspace information about the signal of interest. The general premise that information in speech signals is almost completely contained in a lower dimensional subspace of the measurement space underscores their principal role in detecting the desired signal subspace. These ideas, which have been vigorously researched for speech enhancement problems, inspire the notion of a signal subspace model. Signal subspace modelling, as developed in this thesis, generally relates to the representation of the speech signal in terms of the signal subspace information. The signal model is composed of a set of subspace trajectories, and these trajectories jointly characterize the subspace information of the signal under consideration. Relying on an important result on noisy measurement matrices, the notion of robustness in subspace classification is also established to facilitate the formulation of robust distortion measures.

About the Author

Dr Alan Tan received the B.Eng. (Hons) degree in Electrical Engineering from University of Malaya, Kuala Lumpur, in 1999 on the Shell scholarship, and the M.EngSc. and Ph.D. degrees from Multimedia University, Selangor, in 2003 and 2008, respectively.