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Speech Enhancement pp 135–159Cite as

Signal Subspace Techniques for Speech Enhancement

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Part of the book series: Signals and Communication Technology ((SCT))

Abstract

In this chapter, we present the signal subspace approach (SSA) for speech enhancement. The SSA is becoming a serious competitor to its already widely used frequency-domain counterparts since it seems to offer a better compromise between signal distortion and the level of the residual noise. We provide a detailed description of the technique in terms of its underlying theory as well as the implementation issues. We also discuss the methods, proposed in the literature, to deal with the colored noise case and to cope with the complexity concerns usually associated with the SSA. In addition to that, we provide a filterbank interpretation to the SSA which allows it to be viewed from a frequency-domain perspective which is a more intuitive domain as far as speech signals are concerned. Finally, we present some of the latest variations and extensions to the SSA found in the literature which also serve as suggestions to further research in this area.

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Authors and Affiliations

  1. Toshiba Research, Cambridge, UK

    Firas Jabloun

  2. McGill University, Montreal, Canada

    Benoit Champagne

Authors
  1. Firas Jabloun
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  2. Benoit Champagne
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© 2005 Springer-Verlag Berlin Heidelberg

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Jabloun, F., Champagne, B. (2005). Signal Subspace Techniques for Speech Enhancement. In: Speech Enhancement. Signals and Communication Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-27489-8_7

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  • DOI: https://doi.org/10.1007/3-540-27489-8_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24039-6

  • Online ISBN: 978-3-540-27489-6

  • eBook Packages: EngineeringEngineering (R0)

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