loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: João Freitas 1 ; António Teixeira 2 ; Samuel Silva 2 ; Catarina Oliveira 2 and Miguel Sales Dias 3

Affiliations: 1 Microsoft Language Development Center and University of Aveiro, Portugal ; 2 University of Aveiro, Portugal ; 3 Microsoft Language Development Center and ISCTE-University Institute of Lisbon, Portugal

ISBN: 978-989-758-011-6

Keyword(s): Nasal Vowels Detection, Surface Electromyography, Silent Speech Interfaces.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Biomedical Signal Processing ; Cybernetics and User Interface Technologies ; Devices ; Health Information Systems ; Human-Computer Interaction ; Information and Systems Security ; Physiological Computing Systems ; Physiological Processes and Bio-Signal Modeling, Non-Linear Dynamics ; Speech Recognition ; Wearable Sensors and Systems

Abstract: Conventional speech communication systems do not perform well in the absence of an intelligible acoustic signal. Silent Speech Interfaces enable speech communication to take place with speech-handicapped users and in noisy environments. However, since no acoustic signal is available, information on nasality may be absent, which is an important and relevant characteristic of several languages, particularly European Portuguese. In this paper we propose a non-invasive method – surface Electromyography (EMG) electrodes - positioned in the face and neck regions to explore the existence of useful information about the velum movement. The applied procedure takes advantage of Real-Time Magnetic Resonance Imaging (RT-MRI) data, collected from the same speakers, to interpret and validate EMG data. By ensuring compatible scenario conditions and proper alignment between the EMG and RT-MRI data, we are able to estimate when the velum moves and the probable type of movement under a nasality occurre nce. Overall results of this experiment revealed interesting and distinct characteristics in the EMG signal when a nasal vowel is uttered and that it is possible to detect velum movement, particularly by sensors positioned below the ear between the mastoid process and the mandible in the upper neck region. (More)

PDF ImageFull Text

Download
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 34.229.126.29

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:
Freitas, J.; Freitas, J.; Teixeira, A.; Silva, S.; Oliveira, C. and Dias, M. (2014). Velum Movement Detection based on Surface Electromyography for Speech Interface.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2014) ISBN 978-989-758-011-6, pages 13-20. DOI: 10.5220/0004741100130020

@conference{biosignals14,
author={João Freitas. and João Freitas. and António Teixeira. and Samuel Silva. and Catarina Oliveira. and Miguel Sales Dias.},
title={Velum Movement Detection based on Surface Electromyography for Speech Interface},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2014)},
year={2014},
pages={13-20},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004741100130020},
isbn={978-989-758-011-6},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2014)
TI - Velum Movement Detection based on Surface Electromyography for Speech Interface
SN - 978-989-758-011-6
AU - Freitas, J.
AU - Freitas, J.
AU - Teixeira, A.
AU - Silva, S.
AU - Oliveira, C.
AU - Dias, M.
PY - 2014
SP - 13
EP - 20
DO - 10.5220/0004741100130020

Login or register to post comments.

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