43,187 research outputs found
A 3D biomechanical vocal tract model to study speech production control: How to take into account the gravity?
This paper presents a modeling study of the way speech motor control can deal
with gravity to achieve steady-state tongue positions. It is based on
simulations carried out with the 3D biomechanical tongue model developed at
ICP, which is now controlled with the Lambda model (Equilibrium-Point
Hypothesis). The influence of short-delay orosensory feedback on posture
stability is assessed by testing different muscle force/muscle length
relationships (Invariant Characteristics). Muscle activation patterns necessary
to maintain the tongue in a schwa position are proposed, and the relations of
head position, tongue shape and muscle activations are analyzed
Speech Development by Imitation
The Double Cone Model (DCM) is a model
of how the brain transforms sensory input to
motor commands through successive stages of
data compression and expansion. We have
tested a subset of the DCM on speech recognition, production and imitation. The experiments show that the DCM is a good candidate
for an artificial speech processing system that
can develop autonomously. We show that the
DCM can learn a repertoire of speech sounds
by listening to speech input. It is also able to
link the individual elements of speech to sequences that can be recognized or reproduced,
thus allowing the system to imitate spoken
language
Modeling the consequences of tongue surgery on tongue mobility
This paper presents the current achievements of a long term project aiming at
predicting and assessing the impact of tongue and mouth floor surgery on tongue
mobility. The ultimate objective of this project is the design of a software
with which surgeons should be able (1) to design a 3D biomechanical model of
the tongue and of the mouth floor that matches the anatomical characteristics
of each patient specific oral cavity, (2) to simulate the anatomical changes
induced by the surgery and the possible reconstruction, and (3) to
quantitatively predict and assess the consequences of these anatomical changes
on tongue mobility and speech production after surgery
Use of a biomechanical tongue model to predict the impact of tongue surgery on speech production
This paper presents predictions of the consequences of tongue surgery on
speech production. For this purpose, a 3D finite element model of the tongue is
used that represents this articulator as a deformable structure in which tongue
muscles anatomy is realistically described. Two examples of tongue surgery,
which are common in the treatment of cancers of the oral cavity, are modelled,
namely a hemiglossectomy and a large resection of the mouth floor. In both
cases, three kinds of possible reconstruction are simulated, assuming flaps
with different stiffness. Predictions are computed for the cardinal vowels /i,
a, u/ in the absence of any compensatory strategy, i.e. with the same motor
commands as the one associated with the production of these vowels in
non-pathological conditions. The estimated vocal tract area functions and the
corresponding formants are compared to the ones obtained under normal
condition
Postural destabilization induced by trunk extensor muscles fatigue is suppressed by use of a plantar pressure-based electro-tactile biofeedback
Separate studies have reported that postural control during quiet standing
could be (1) impaired with muscle fatigue localized at the lower back, and (2)
improved through the use of plantar pressure-based electro-tactile biofeedback,
under normal neuromuscular state. The aim of this experiment was to investigate
whether this biofeedback could reduce postural destabilization induced by trunk
extensor muscles. Ten healthy adults were asked to stand as immobile as
possible in four experimental conditions: (1) no fatigue/no biofeedback, (2) no
fatigue/biofeedback, (3) fatigue/no biofeedback and (4) fatigue/biofeedback.
Muscular fatigue was achieved by performing trunk repetitive extensions until
maximal exhaustion. The underlying principle of the biofeedback consisted of
providing supplementary information related to foot sole pressure distribution
through electro-tactile stimulation of the tongue. Centre of foot pressure
(CoP) displacements were recorded using a force platform. Results showed (1)
increased CoP displacements along the antero-posterior axis in the fatigue than
no fatigue condition in the absence of biofeedback and (2) no significant
difference between the no fatigue and fatigue conditions in the presence of
biofeedback. This suggests that subjects were able to efficiently integrate an
artificial plantar pressure information delivered through electro-tactile
stimulation of the tongue that allowed them to suppress the destabilizing
effect induced by trunk extensor muscles fatigue
Neural Modeling and Imaging of the Cortical Interactions Underlying Syllable Production
This paper describes a neural model of speech acquisition and production that accounts for a wide range of acoustic, kinematic, and neuroimaging data concerning the control of speech movements. The model is a neural network whose components correspond to regions of the cerebral cortex and cerebellum, including premotor, motor, auditory, and somatosensory cortical areas. Computer simulations of the model verify its ability to account for compensation to lip and jaw perturbations during speech. Specific anatomical locations of the model's components are estimated, and these estimates are used to simulate fMRI experiments of simple syllable production with and without jaw perturbations.National Institute on Deafness and Other Communication Disorders (R01 DC02852, RO1 DC01925
Using Active Shape Modeling Based on MRI to Study Morphologic and Pitch-Related Functional Changes Affecting Vocal Structures and the Airway
Copyright © 2013 The Voice Foundation. Published by Mosby, Inc. All rights reserved.Peer reviewedPostprin
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