Exportar Publicação

Freitas, J., Teixeira, A., Oliveira, C., Dias, J. & Silva, S. (2014). Velum movement detection based on surface electromyography for speech interface. In  Harald Loose, Guy Plantier, Tanja Schultz, Ana L. N. Fred, Hugo Gamboa (Ed.), BIOSTEC 2014: Proceedings of the International Joint Conference on Biomedical Engineering Systems and Technologies. (pp. 13-20). Angers: SciTePress.

J. Freitas et al.,  "Velum movement detection based on surface electromyography for speech interface", in BIOSTEC 2014: Proc. of the Int. Joint Conf. on Biomedical Engineering Systems and Technologies,  Harald Loose, Guy Plantier, Tanja Schultz, Ana L. N. Fred, Hugo Gamboa, Ed., Angers, SciTePress, 2014, vol. 4, pp. 13-20

@inproceedings{freitas2014_1775769018849,
	author = "Freitas, J. and Teixeira, A. and Oliveira, C. and Dias, J. and Silva, S.",
	title = "Velum movement detection based on surface electromyography for speech interface",
	booktitle = "BIOSTEC 2014: Proceedings of the International Joint Conference on Biomedical Engineering Systems and Technologies",
	year = "2014",
	editor = " Harald Loose, Guy Plantier, Tanja Schultz, Ana L. N. Fred, Hugo Gamboa",
	volume = "4",
	number = "",
	series = "",
	doi = "10.5220/0004741100130020",
	pages = "13-20",
	publisher = "SciTePress",
	address = "Angers",
	organization = "INSTICC",
	url = "http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0004741100130020"
}

TY  - CPAPER
TI  - Velum movement detection based on surface electromyography for speech interface
T2  - BIOSTEC 2014: Proceedings of the International Joint Conference on Biomedical Engineering Systems and Technologies
VL  - 4
AU  - Freitas, J.
AU  - Teixeira, A.
AU  - Oliveira, C.
AU  - Dias, J.
AU  - Silva, S.
PY  - 2014
SP  - 13-20
DO  - 10.5220/0004741100130020
CY  - Angers
UR  - http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0004741100130020
AB  - 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 occurrence. 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. 
ER  -