Development of articulation simulation system using vocal tract Model

Sumita, Yuka I.; Hattori, Mariko; Inohara, Ken; Sakurai, Rie; Taniguchi, Hisashi

doi:10.5772/55906

Cited by 4 publications

(3 citation statements)

References 5 publications

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“…Inohara et al devised a method to create a vocal tract model from computer tomography (CT) reconstruction data . Using magnetic resonance image (MRI) data taken for surgical purposes, Sumita et al simulated speech production by making a three‐dimensional (3D) vocal tract model. It was confirmed that both formant 1 (F1) and formant 2 (F2) extracted from the 3D model voice were close to those of the human voice.…”

Section: Introductionmentioning

confidence: 99%

Digitised evaluation of speech intelligibility using vowels in maxillectomy patients

Sumita

Hattori

Murase

et al. 2017

J of Oral Rehabilitation

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Among the functional disabilities that patients face following maxillectomy, speech impairment is a major factor influencing quality of life. Proper rehabilitation of speech, which may include prosthodontic and surgical treatments and speech therapy, requires accurate evaluation of speech intelligibility (SI). A simple, less time-consuming yet accurate evaluation is desirable both for maxillectomy patients and the various clinicians providing maxillofacial treatment. This study sought to determine the utility of digital acoustic analysis of vowels for the prediction of SI in maxillectomy patients, based on a comprehensive understanding of speech production in the vocal tract of maxillectomy patients and its perception. Speech samples were collected from 33 male maxillectomy patients (mean age 57.4 years) in two conditions, without and with a maxillofacial prosthesis, and formant data for the vowels /a/,/e/,/i/,/o/, and /u/ were calculated based on linear predictive coding. The frequency range of formant 2 (F2) was determined by differences between the minimum and maximum frequency. An SI test was also conducted to reveal the relationship between SI score and F2 range. Statistical analyses were applied. F2 range and SI score were significantly different between the two conditions without and with a prosthesis (both P < .0001). F2 range was significantly correlated with SI score in both the conditions (Spearman's r = .843, P < .0001; r = .832, P < .0001, respectively). These findings indicate that calculating the F2 range from 5 vowels has clinical utility for the prediction of SI after maxillectomy.

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Section: Introductionmentioning

confidence: 99%

Digitised evaluation of speech intelligibility using vowels in maxillectomy patients

Sumita

Hattori

Murase

et al. 2017

J of Oral Rehabilitation

View full text Add to dashboard Cite

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“…Advances in technology have enabled three-dimensional (3D) vocal tract models to be fabricated from MRI and/or CT data (10)(11)(12)(13)(14)(15)(16)(17)(18). To establish a speech simulation system for maxillofacial prosthetics, Sumita et al (12) used a 3D vocal tract model extracted from MRI images while a subject uttered the vowel /a/. They concluded that MRI images can be used to pro-duce a speech simulation system that is highly important to pre-surgical planning and pre-and postoperative speech function.…”

Section: Introductionmentioning

confidence: 99%

“…Advances in technology have enabled three‐dimensional (3D) vocal tract models to be fabricated from MRI and/or CT data . To establish a speech simulation system for maxillofacial prosthetics, Sumita et al .…”

Section: Introductionmentioning

confidence: 99%

Evaluation of articulation simulation system using artificial maxillectomy models

Elbashti

Hattori

Sumita

et al. 2015

J of Oral Rehabilitation

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Acoustic evaluation is valuable for guiding the treatment of maxillofacial defects and determining the effectiveness of rehabilitation with an obturator prosthesis. Model simulations are important in terms of pre-surgical planning and pre- and post-operative speech function. This study aimed to evaluate the acoustic characteristics of voice generated by an articulation simulation system using a vocal tract model with or without artificial maxillectomy defects. More specifically, we aimed to establish a speech simulation system for maxillectomy defect models that both surgeons and maxillofacial prosthodontists can use in guiding treatment planning. Artificially simulated maxillectomy defects were prepared according to Aramany's classification (Classes I-VI) in a three-dimensional vocal tract plaster model of a subject uttering the vowel /a/. Formant and nasalance acoustic data were analysed using Computerized Speech Lab and the Nasometer, respectively. Formants and nasalance of simulated /a/ sounds were successfully detected and analysed. Values of Formants 1 and 2 for the non-defect model were 675.43 and 976.64 Hz, respectively. Median values of Formants 1 and 2 for the defect models were 634.36 and 1026.84 Hz, respectively. Nasalance was 11% in the non-defect model, whereas median nasalance was 28% in the defect models. The results suggest that an articulation simulation system can be used to help surgeons and maxillofacial prosthodontists to plan post-surgical defects that will be facilitate maxillofacial rehabilitation.

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Maxillofacial prosthodontics and speech evaluation

尚¹,

由香²

2014

Nihon Hotetsu Shika Gakkaishi

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Maxillofacial prosthodontics is the art and science of anatomic, functional, or cosmetic reconstruction by means of non-living substitutes of those regions in the maxilla and mandible that are missing or defective because of surgical intervention, trauma, pathology, or developmental or congenital malformation. Patients suffer from functional impairments affecting such areas as speech, mastication and swallowing. Among them, speech is a great concern for the patients. In this manuscript, maxillofacial prosthodontics is described from the point of view of speech evaluation.

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Development of articulation simulation system using vocal tract Model

Cited by 4 publications

References 5 publications

Digitised evaluation of speech intelligibility using vowels in maxillectomy patients

Digitised evaluation of speech intelligibility using vowels in maxillectomy patients

Evaluation of articulation simulation system using artificial maxillectomy models

Maxillofacial prosthodontics and speech evaluation

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