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International Joint Conference on Biomedical Engineering Systems and Technologies

BIOSTEC 2013: Biomedical Engineering Systems and Technologies pp 300–312Cite as

Application of Electrode Arrays for Artifact Removal in an Electromyographic Silent Speech Interface

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 452))

Abstract

An electromygraphic (EMG) Silent Speech Interface is a system which recognizes speech by capturing the electric potentials of the human articulatory muscles, thus enabling the user to communicate silently. This study deals with the introduction of multi-channel electrode arrays to the EMG recording system, which requires meticulous dealing with the resulting high-dimensional data. As a first application of the technology, Independent Component Analysis (ICA) is applied for automated artifact detection and removal. Without the artifact removal component, the system achieves optimal average Word Error Rates of 40.1 % for 40 training sentences and 10.9 % for 160 training sentences on EMG signals of audible speech. On a subset of the corpus, we evaluate the ICA artifact removal method, improving the Word Error Rate by 10.7 % relative.

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Author information

Authors and Affiliations

  1. Cognitive Systems Lab, Karlsruhe Institute of Technology, Adenauerring 4, 76137, Karlsruhe, Germany

    Michael Wand, Matthias Janke, Till Heistermann, Christopher Schulte, Adam Himmelsbach & Tanja Schultz

Authors
  1. Michael Wand
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  2. Matthias Janke
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  3. Till Heistermann
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  4. Christopher Schulte
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  5. Adam Himmelsbach
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  6. Tanja Schultz
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Corresponding author

Correspondence to Michael Wand .

Editor information

Editors and Affiliations

  1. Universitat Politècnica de Catalunya, Barcelona, Spain

    Mireya Fernández-Chimeno

  2. Instituto Gulbenkian de Ciência, Oeiras, Portugal

    Pedro L. Fernandes

  3. Boston College, Chestnut Hill, Massachusetts, USA

    Sergio Alvarez

  4. University of Guelph, Guelph, Canada

    Deborah Stacey

  5. University of Vic, Vic, Spain

    Jordi Solé-Casals

  6. Technical University of Lisbon, Lisbon, Portugal

    Ana Fred

  7. New University of Lisbon, Lisboa, Portugal

    Hugo Gamboa

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© 2014 Springer-Verlag Berlin Heidelberg

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Cite this paper

Wand, M., Janke, M., Heistermann, T., Schulte, C., Himmelsbach, A., Schultz, T. (2014). Application of Electrode Arrays for Artifact Removal in an Electromyographic Silent Speech Interface. In: Fernández-Chimeno, M., et al. Biomedical Engineering Systems and Technologies. BIOSTEC 2013. Communications in Computer and Information Science, vol 452. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44485-6_21

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  • DOI: https://doi.org/10.1007/978-3-662-44485-6_21

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-44484-9

  • Online ISBN: 978-3-662-44485-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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