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EURASIP Journal on Audio, Speech, and Music Processing
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Multimicrophone Speech Dereverberation: Experimental Validation

EURASIP Journal on Audio, Speech, and Music Processing volume 2007, Article number: 051831 (2007) Cite this article

Abstract

Dereverberation is required in various speech processing applications such as handsfree telephony and voice-controlled systems, especially when signals are applied that are recorded in a moderately or highly reverberant environment. In this paper, we compare a number of classical and more recently developed multimicrophone dereverberation algorithms, and validate the different algorithmic settings by means of two performance indices and a speech recognition system. It is found that some of the classical solutions obtain a moderate signal enhancement. More advanced subspace-based dereverberation techniques, on the other hand, fail to enhance the signals despite their high-computational load.

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Authors and Affiliations

  1. ExpORL, Department of Neurosciences, Katholieke Universiteit Leuven, O & N 2, Herestraat 49 bus 721, Leuven, 3000, Belgium

    Koen Eneman

  2. GroupT Leuven Engineering School, Vesaliusstraat 13, Leuven, 3000, Belgium

    Koen Eneman

  3. SCD, Department of Electrical Engineering (ESAT), Faculty of Engineering, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, Leuven, 3001, Belgium

    Marc Moonen

Authors
  1. Koen Eneman
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  2. Marc Moonen
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Correspondence to Koen Eneman.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Eneman, K., Moonen, M. Multimicrophone Speech Dereverberation: Experimental Validation. J AUDIO SPEECH MUSIC PROC. 2007, 051831 (2007). https://doi.org/10.1155/2007/51831

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  • DOI: https://doi.org/10.1155/2007/51831

Keywords

  • Acoustics
  • Performance Index
  • Classical Solution
  • Speech Recognition
  • Experimental Validation