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portada Speech Enhancement: A Signal Subspace Perspective (in English)
Type
Physical Book
Publisher
Year
2014
Language
English
Pages
138
Format
Paperback
ISBN13
9780128001394
Edition No.
1

Speech Enhancement: A Signal Subspace Perspective (in English)

Jacob Benesty; Jesper Rindom Jensen; Mads Graesboll Christensen; Jingdong Chen (Author) · Academic Press · Paperback

Speech Enhancement: A Signal Subspace Perspective (in English) - Jacob Benesty; Jesper Rindom Jensen; Mads Graesboll Christensen; Jingdong Chen

Physical Book

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Synopsis "Speech Enhancement: A Signal Subspace Perspective (in English)"

Speech enhancement is a classical problem in signal processing, yet still largely unsolved. Two of the conventional approaches for solving this problem are linear filtering, like the classical Wiener filter, and subspace methods. These approaches have traditionally been treated as different classes of methods and have been introduced in somewhat different contexts. Linear filtering methods originate in stochastic processes, while subspace methods have largely been based on developments in numerical linear algebra and matrix approximation theory. This book bridges the gap between these two classes of methods by showing how the ideas behind subspace methods can be incorporated into traditional linear filtering. In the context of subspace methods, the enhancement problem can then be seen as a classical linear filter design problem. This means that various solutions can more easily be compared and their performance bounded and assessed in terms of noise reduction and speech distortion. The book shows how various filter designs can be obtained in this framework, including the maximum SNR, Wiener, LCMV, and MVDR filters, and how these can be applied in various contexts, like in single-channel and multichannel speech enhancement, and in both the time and frequency domains.First short book treating subspace approaches in a unified way for time and frequency domains, single-channel, multichannel, as well as binaural, speech enhancementBridges the gap between optimal filtering methods and subspace approachesIncludes original presentation of subspace methods from different perspectives

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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.

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