Array-based Electromyographic Silent Speech Interface

Michael Wand, Christopher Schulte, Matthias Janke, Tanja Schultz

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 is concerned with introducing an EMG recording system based on multi-channel electrode arrays. We first present our new system and introduce a method to deal with undertraining effects which emerge due to the high dimensionality of our EMG features. Second, we show that Independent Component Analysis improves the classification accuracy of the EMG array-based recognizer by up to 22.9% relative, which is a first example of an EMG signal processing method which is specifically enabled by our new array-based system. We evaluate our system on recordings of audible speech; achieving an optimal average word error rate of 10.9% with a training set of less than 10 minutes on a vocabulary of 108 words.

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Paper Citation


in Harvard Style

Wand M., Schulte C., Janke M. and Schultz T. (2013). Array-based Electromyographic Silent Speech Interface . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013) ISBN 978-989-8565-36-5, pages 89-96. DOI: 10.5220/0004252400890096


in Bibtex Style

@conference{biosignals13,
author={Michael Wand and Christopher Schulte and Matthias Janke and Tanja Schultz},
title={Array-based Electromyographic Silent Speech Interface},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)},
year={2013},
pages={89-96},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004252400890096},
isbn={978-989-8565-36-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)
TI - Array-based Electromyographic Silent Speech Interface
SN - 978-989-8565-36-5
AU - Wand M.
AU - Schulte C.
AU - Janke M.
AU - Schultz T.
PY - 2013
SP - 89
EP - 96
DO - 10.5220/0004252400890096