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Authors: Michael Wand and Tanja Schultz

Affiliation: University of Karlsruhe, Germany

Keyword(s): Speech recognition, Electromyography, Silent speech.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Data Manipulation ; Devices ; Health Engineering and Technology Applications ; Health Information Systems ; Human-Computer Interaction ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing ; Speech Recognition ; Wearable Sensors and Systems

Abstract: We present our recent advances in silent speech interfaces using electromyographic signals that capture the movements of the human articulatory muscles at the skin surface for recognizing continuously spoken speech. Previous systems were limited to speaker- and session-dependent recognition tasks on small amounts of training and test data. In this paper we present speaker-independent and speaker-adaptive training methods which for the first time allows us to use a large corpus of data from many speakers to reliably train acoustic models. On this corpus we compare the performance of speaker-dependent and speaker-independent acoustic models, carry out model adaptation experiments, and investigate the impact of the amount of training data on the overall system performance. In particular, since our data corpus is relatively large compared to previous studies, we are able for the first time to train an EMG recognizer with context-dependent acoustic models. We show that like in acoustic sp eech recognition, context-dependent modeling significantly increases the recognition performance. (More)

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Paper citation in several formats:
Wand, M. and Schultz, T. (2009). TOWARDS SPEAKER-ADAPTIVE SPEECH RECOGNITION BASED ON SURFACE ELECTROMYOGRAPHY. In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2009) - BIOSIGNALS; ISBN 978-989-8111-65-4; ISSN 2184-4305, SciTePress, pages 155-162. DOI: 10.5220/0001549601550162

@conference{biosignals09,
author={Michael Wand. and Tanja Schultz.},
title={TOWARDS SPEAKER-ADAPTIVE SPEECH RECOGNITION BASED ON SURFACE ELECTROMYOGRAPHY},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2009) - BIOSIGNALS},
year={2009},
pages={155-162},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001549601550162},
isbn={978-989-8111-65-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2009) - BIOSIGNALS
TI - TOWARDS SPEAKER-ADAPTIVE SPEECH RECOGNITION BASED ON SURFACE ELECTROMYOGRAPHY
SN - 978-989-8111-65-4
IS - 2184-4305
AU - Wand, M.
AU - Schultz, T.
PY - 2009
SP - 155
EP - 162
DO - 10.5220/0001549601550162
PB - SciTePress