loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Michael Wand and Tanja Schultz

Affiliation: University of Karlsruhe, Germany

ISBN: 978-989-8111-65-4

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 spe ech recognition, context-dependent modeling significantly increases the recognition performance. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 35.172.100.232

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Wand M.; Schultz T. and (2009). TOWARDS SPEAKER-ADAPTIVE SPEECH RECOGNITION BASED ON SURFACE ELECTROMYOGRAPHY.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009) ISBN 978-989-8111-65-4, 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 - Volume 1: BIOSIGNALS, (BIOSTEC 2009)},
year={2009},
pages={155-162},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001549601550162},
isbn={978-989-8111-65-4},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009)
TI - TOWARDS SPEAKER-ADAPTIVE SPEECH RECOGNITION BASED ON SURFACE ELECTROMYOGRAPHY
SN - 978-989-8111-65-4
AU - Wand, M.
AU - Schultz, T.
PY - 2009
SP - 155
EP - 162
DO - 10.5220/0001549601550162

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.