Name: A Subspace Approach for Speech Signal Modelling and Classification (en Inglés)
SKU: 25945366
Price: 58.72 USD
Availability: InStock
Author: Alan W.C. Tan
ISBN: 9783846504109

portada A Subspace Approach for Speech Signal Modelling and Classification (en Inglés)

A Subspace Approach for Speech Signal Modelling and Classification (en Inglés)

Formato

Libro Físico

Editorial

Lap Lambert Academic Publishing

Autor

Alan W.C. Tan

Año

2011

Idioma

Inglés

N° páginas

128

Encuadernación

Tapa Blanda

ISBN

3846504106

ISBN13

9783846504109

Categorías

Tecnología: cuestiones generales

A Subspace Approach for Speech Signal Modelling and Classification (en Inglés)

Alan W.c. Tan (Autor) · Lap Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "A Subspace Approach for Speech Signal Modelling and Classification (en Inglés)"

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.