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Authors: João Freitas 1 ; António Teixeira 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-Lisbon University Institute, Portugal

ISBN: 978-989-758-006-2

Keyword(s): Nasality Detection for Silent Speech Interaction, Velum Movement Detection, Ultrasonic Doppler, Nasal Vowels, Portuguese.

Related Ontology Subjects/Areas/Topics: Applications ; Assistive Technologies ; Biosignal Acquisition, Analysis and Processing ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neural Rehabilitation ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Software Engineering

Abstract: 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.

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Paper citation in several formats:
Freitas, J.; Freitas, J.; Teixeira, A. and Sales Dias, M. (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 Proceedings of the International Conference on Physiological Computing Systems - Volume 1: PhyCS, ISBN 978-989-758-006-2, pages 232-239. DOI: 10.5220/0004725902320239

@conference{phycs14,
author={João Freitas. and João Freitas. and António Teixeira. and Miguel Sales Dias.},
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 - Volume 1: PhyCS,},
year={2014},
pages={232-239},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004725902320239},
isbn={978-989-758-006-2},
}

TY - CONF

JO - Proceedings of the International Conference on Physiological Computing Systems - Volume 1: PhyCS,
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
SN - 978-989-758-006-2
AU - Freitas, J.
AU - Freitas, J.
AU - Teixeira, A.
AU - Sales Dias, M.
PY - 2014
SP - 232
EP - 239
DO - 10.5220/0004725902320239

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