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Freitas, J., Teixeira, A. & Dias, J. (2014). Can ultrasonic doppler help detecting nasality for silent speech interfaces?:  An exploratory analysis based on alignement of the doppler signal with velum aperture information from real-time MRI. In Andreas Holzinger ; Stephen Fairclough; Dennis Majoe,; Hugo Plácido da Silva  (Ed.), Proceedings of the International Conference on Physiological Computing Systems (PhyCS 2014). Lisboa: SciTePress.

J. Freitas et al.,  "Can ultrasonic doppler help detecting nasality for silent speech interfaces?:  An exploratory analysis based on alignement of the doppler signal with velum aperture information from real-time MRI", in Proc. of the Int. Conf. on Physiological Computing Systems (PhyCS 2014), Andreas Holzinger ; Stephen Fairclough; Dennis Majoe,; Hugo Plácido da Silva , Ed., Lisboa, SciTePress, 2014

@inproceedings{freitas2014_1734979220954,
	author = "Freitas, J. and Teixeira, A. and Dias, J.",
	title = "Can ultrasonic doppler help detecting nasality for silent speech interfaces?:  An exploratory analysis based on alignement of the doppler signal with velum aperture information from real-time MRI",
	booktitle = "Proceedings of the International Conference on Physiological Computing Systems (PhyCS 2014)",
	year = "2014",
	editor = "Andreas Holzinger ; Stephen Fairclough; Dennis Majoe,; Hugo Plácido da Silva ",
	volume = "",
	number = "",
	series = "",
	doi = "10.5220/0004725902320239",
	publisher = "SciTePress",
	address = "Lisboa",
	organization = "INSTICC",
	url = "http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0004725902320239"
}

TY  - CPAPER
TI  - Can ultrasonic doppler help detecting nasality for silent speech interfaces?:  An exploratory analysis based on alignement of the doppler signal with velum aperture information from real-time MRI
T2  - Proceedings of the International Conference on Physiological Computing Systems (PhyCS 2014)
AU  - Freitas, J.
AU  - Teixeira, A.
AU  - Dias, J.
PY  - 2014
DO  - 10.5220/0004725902320239
CY  - Lisboa
UR  - http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0004725902320239
AB  - This paper describes an exploratory analysis on the usefulness of the information made available from
Ultrasonic Doppler signal data collected from a single speaker, to detect velum movement associated to
European Portuguese nasal vowels. This is directly related to the unsolved problem of detecting nasality in
silent speech interfaces. The applied procedure uses Real-Time Magnetic Resonance Imaging (RT-MRI),
collected from the same speaker providing a method to interpret the reflected ultrasonic data. By ensuring
compatible scenario conditions and proper time alignment between the Ultrasonic Doppler signal data and
the RT-MRI data, we are able to accurately estimate the time when the velum moves and the type of
movement under a nasal vowel occurrence. The combination of these two sources revealed a moderate
relation between the average energy of frequency bands around the carrier, indicating a probable presence
of velum information in the Ultrasonic Doppler signal
ER  -