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Authors: Szu-Chen Stan Jou and Tanja Schultz

Affiliation: International Center for Advanced Communication Technologies, Carnegie Mellon University; Karlsruhe University, Germany

Keyword(s): Electromyography, Speech Recognition, Articulatory Feature, Feature Extraction

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Biomedical Signal Processing ; Speech Recognition

Abstract: In this paper, we present our research on automatic speech recognition of surface electromyographic signals that are generated by the human articulatory muscles. With parallel recorded audible speech and electromyographic signals, experiments are conducted to show the anticipatory behavior of electromyographic signals with respect to speech signals. Additionally, we demonstrate how to develop phone-based speech recognizers with carefully designed electromyographic feature extraction methods. We show that articulatory feature (AF) classifiers can also benefit from the novel feature, which improve the F-score of the AF classifiers from 0.467 to 0.686. With a stream architecture, the AF classifiers are then integrated into the decoding framework. Overall, the word error rate improves from 86.8% to 29.9% on a 100 word vocabulary recognition task.

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Paper citation in several formats:
Stan Jou, S. and Schultz, T. (2008). EARS: ELECTROMYOGRAPHICAL AUTOMATIC RECOGNITION OF SPEECH. In Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2008) - Volume 1: BIOSIGNALS; ISBN 978-989-8111-18-0; ISSN 2184-4305, SciTePress, pages 3-12. DOI: 10.5220/0001067100030012

@conference{biosignals08,
author={Szu{-}Chen {Stan Jou}. and Tanja Schultz.},
title={EARS: ELECTROMYOGRAPHICAL AUTOMATIC RECOGNITION OF SPEECH},
booktitle={Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2008) - Volume 1: BIOSIGNALS},
year={2008},
pages={3-12},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001067100030012},
isbn={978-989-8111-18-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2008) - Volume 1: BIOSIGNALS
TI - EARS: ELECTROMYOGRAPHICAL AUTOMATIC RECOGNITION OF SPEECH
SN - 978-989-8111-18-0
IS - 2184-4305
AU - Stan Jou, S.
AU - Schultz, T.
PY - 2008
SP - 3
EP - 12
DO - 10.5220/0001067100030012
PB - SciTePress

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