TY - JOUR
T1 - Research in Methodologies for Modelling the Oral Cavity
AU - Shahid, Muhammad Suhaib
AU - French, Andrew P
AU - Valstar, Michel F
AU - Yakubov, Gleb E
N1 - Publisher Copyright:
© 2024 The Author(s). Published by IOP Publishing Ltd.
PY - 2024/3/18
Y1 - 2024/3/18
N2 - The paper aims to explore the current state of understanding surrounding in silico oral modelling. This involves exploring methodologies, technologies and approaches pertaining to the modelling of the whole oral cavity; both internally and externally visible structures that may be relevant or appropriate to oral actions. Such a model could be referred to as a “complete model” which includes consideration of a full set of facial features (i.e. not only mouth) as well as synergistic stimuli such as audio and facial thermal data. 3D modelling technologies capable of accurately and efficiently capturing a complete representation of the mouth for an individual have broad applications in the study of oral actions, due to their cost-effectiveness and time efficiency.This review delves into the field of clinical phonetics to classify oral actions pertaining to both speech and non-speech movements, identifying how the various vocal organs play a role in the articulatory and masticatory process. Vitaly, it provides a summation of 12 articulatory recording methods, forming a tool to be used by researchers in identifying which method of recording is appropriate for their work. After addressing the cost and resource-intensive limitations of existing methods, a new system of modelling is proposed that leverages external to internal correlation modelling techniques to create a more efficient models of the oral cavity.The vision is that the outcomes will be applicable to a broad spectrum of oral functions related to physiology, health and wellbeing, including speech, oral processing of foods as well as dental health. The applications may span from speech correction, designing foods for the aging population, whilst in the dental field we would be able to gain information about patient’s oral actions that would become part of creating a personalised dental treatment plan.
AB - The paper aims to explore the current state of understanding surrounding in silico oral modelling. This involves exploring methodologies, technologies and approaches pertaining to the modelling of the whole oral cavity; both internally and externally visible structures that may be relevant or appropriate to oral actions. Such a model could be referred to as a “complete model” which includes consideration of a full set of facial features (i.e. not only mouth) as well as synergistic stimuli such as audio and facial thermal data. 3D modelling technologies capable of accurately and efficiently capturing a complete representation of the mouth for an individual have broad applications in the study of oral actions, due to their cost-effectiveness and time efficiency.This review delves into the field of clinical phonetics to classify oral actions pertaining to both speech and non-speech movements, identifying how the various vocal organs play a role in the articulatory and masticatory process. Vitaly, it provides a summation of 12 articulatory recording methods, forming a tool to be used by researchers in identifying which method of recording is appropriate for their work. After addressing the cost and resource-intensive limitations of existing methods, a new system of modelling is proposed that leverages external to internal correlation modelling techniques to create a more efficient models of the oral cavity.The vision is that the outcomes will be applicable to a broad spectrum of oral functions related to physiology, health and wellbeing, including speech, oral processing of foods as well as dental health. The applications may span from speech correction, designing foods for the aging population, whilst in the dental field we would be able to gain information about patient’s oral actions that would become part of creating a personalised dental treatment plan.
KW - Aged
KW - Humans
KW - Mouth/physiology
KW - Phonetics
KW - Speech/physiology
KW - clinical phonetics
KW - vocal tract research
KW - AI in the physical world
UR - https://www.mendeley.com/catalogue/c5bfb4a7-eb2c-3a47-af8e-f41276659994/
UR - http://www.scopus.com/inward/record.url?scp=85188068843&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85188068843&partnerID=8YFLogxK
U2 - 10.1088/2057-1976/ad28cc
DO - 10.1088/2057-1976/ad28cc
M3 - Article
C2 - 38350128
SN - 2057-1976
VL - 10
JO - Biomedical Physics and Engineering Express
JF - Biomedical Physics and Engineering Express
IS - 3
M1 - 032001
ER -