Speech enhancement using PCA and variance of the reconstruction error model identification

Amin Haji Abolhassani, Sid Ahmed Selouani, Douglas O'Shaughnessy, Mohamed-Faouzi Harkat

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

We present in this paper a subspace approach for enhancing a noisy speech signal. The original algorithm for model identification from which we have derived our method has been used in the field of fault detection and diagnosis. This algorithm is based on principal component analysis in which the optimal subspace selection is provided by a variance of the reconstruction error (VRE) criterion. This choice overcomes many limitations encountered with other selection criteria, like overestimation of the signal subspace or the need for empirical parameters. We have also extended our subspace algorithm to take into account the case of colored and babble noise. The performance evaluation, which is made on the Aurora database shows that our method provides a higher noise reduction and a lower signal distortion than existing enhancement methods. Our algorithm succeeds in enhancing the noisy speech in all noisy conditions without introducing artifacts such as "musical noise".

Original languageEnglish
Title of host publicationInternational Speech Communication Association - 8th Annual Conference of the International Speech Communication Association, Interspeech 2007
Pages2384-2387
Number of pages4
Volume4
Publication statusPublished - 1 Dec 2007
Externally publishedYes
Event8th Annual Conference of the International Speech Communication Association, Interspeech 2007 - Antwerp, Belgium
Duration: 27 Aug 200731 Aug 2007

Other

Other8th Annual Conference of the International Speech Communication Association, Interspeech 2007
CountryBelgium
CityAntwerp
Period27/8/0731/8/07

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Keywords

  • Colored noise
  • Model identification
  • Principal component analysis
  • Signal subspace
  • Speech enhancement

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Modelling and Simulation
  • Linguistics and Language
  • Communication

Cite this

Abolhassani, A. H., Selouani, S. A., O'Shaughnessy, D., & Harkat, M-F. (2007). Speech enhancement using PCA and variance of the reconstruction error model identification. In International Speech Communication Association - 8th Annual Conference of the International Speech Communication Association, Interspeech 2007 (Vol. 4, pp. 2384-2387)