A Subspace Approach For Speech Signal Modelling And Classification: Theory and Algorithm - Softcover

Tan, Alan W.C.

 
9783846504109: A Subspace Approach For Speech Signal Modelling And Classification: Theory and Algorithm
Softcover
ISBN 10: 3846504106 ISBN 13: 9783846504109
Publisher: LAP LAMBERT Academic Publishing, 2011

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.

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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.

"About this title" may belong to another edition of this title.

Publisher
LAP LAMBERT Academic Publishing
Publication date
2011
Language
English
ISBN 10 
3846504106
ISBN 13 
9783846504109
Binding
Paperback
Number of pages
128