Automatic, computer‐based speech assessment on edentulous patients with and without complete dentures – preliminary results
Identifieur interne : 005850 ( Istex/Corpus ); précédent : 005849; suivant : 005851Automatic, computer‐based speech assessment on edentulous patients with and without complete dentures – preliminary results
Auteurs : F. Stelzle ; B. Ugrinovic ; C. Knipfer ; T. Bocklet ; E. Nöth ; M. Schuster ; S. Eitner ; M. Seiss ; E. NkenkeSource :
- Journal of Oral Rehabilitation [ 0305-182X ] ; 2010-03.
English descriptors
- KwdEn :
- Acceptability, Acoustic signal, Articulation, Automatic speech assessment, Automatic speech recognition, Automatic speech recognition system, Automatic system, Binary decisions, Blackwell publishing, Cancer surgery, Cell carcinoma, Cleft palate craniofac, Complete denture, Complete dentures, Computer science, Control group, Dental arch, Dental rehabilitation, Denture, Edentulous, Edentulous patients, Edentulous persons, Edentulous speakers, Elderly people, Ethics committee, Expert listeners, Expert ratings, General satisfaction, Habituation, Habituation period, High correlation, Intelligibility, Journal compilation, Markov models, Maxillofacial surgery, Objective speech assessment, Oral cavity, Oral rehabil, Oral rehabilitation, Other hand, Palate, Patient group, Pattern recognition, Pearson correlation, Percentage agreement, Perceptual rating, Present study, Prosth dent, Prosthesis, Prosthet dent, Rater, Raters, Reference text, Several listeners, Single word, Spectral analysis, Speech ability, Speech acceptability, Speech acceptability judgements, Speech assessment, Speech disorders, Speech intelligibility, Speech production, Speech production quality, Speech quality, Speech recognition, Speech recognition scores, Speech recognition system, Speech therapists, Standardized speech assessment, Statistical word models, Stochastic language models, Trigram models, Word accuracy.
- Teeft :
- Acceptability, Acoustic signal, Articulation, Automatic speech assessment, Automatic speech recognition, Automatic speech recognition system, Automatic system, Binary decisions, Blackwell publishing, Cancer surgery, Cell carcinoma, Cleft palate craniofac, Complete denture, Complete dentures, Computer science, Control group, Dental arch, Dental rehabilitation, Denture, Edentulous, Edentulous patients, Edentulous persons, Edentulous speakers, Elderly people, Ethics committee, Expert listeners, Expert ratings, General satisfaction, Habituation, Habituation period, High correlation, Intelligibility, Journal compilation, Markov models, Maxillofacial surgery, Objective speech assessment, Oral cavity, Oral rehabil, Oral rehabilitation, Other hand, Palate, Patient group, Pattern recognition, Pearson correlation, Percentage agreement, Perceptual rating, Present study, Prosth dent, Prosthesis, Prosthet dent, Rater, Raters, Reference text, Several listeners, Single word, Spectral analysis, Speech ability, Speech acceptability, Speech acceptability judgements, Speech assessment, Speech disorders, Speech intelligibility, Speech production, Speech production quality, Speech quality, Speech recognition, Speech recognition scores, Speech recognition system, Speech therapists, Standardized speech assessment, Statistical word models, Stochastic language models, Trigram models, Word accuracy.
Abstract
Summary Dental rehabilitation of edentulous patients with complete dentures includes not only aesthetics and mastication of food, but also speech quality. It was the aim of this study to introduce and validate a computer‐based speech recognition system (ASR) for automatic speech assessment in edentulous patients after dental rehabilitation with complete dentures. To examine the impact of dentures on speech production, the speech outcome of edentulous patients with and without complete dentures was compared. Twenty‐eight patients reading a standardized text were recorded twice – with and without their complete dentures in situ. A control group of 40 healthy subjects with natural dentition was recorded under the same conditions. Speech quality was evaluated by means of a polyphone‐based ASR according to the percentage of the word accuracy (WA). Speech acceptability assessment by expert listeners and the automatic rating of the WA by the ASR showed a high correlation (corr = 0·71). Word accuracy was significantly reduced in edentulous speakers (55·42 ± 13·1) compared to the control group’s WA (69·79 ± 10·6). On the other hand, wearing complete dentures significantly increased the WA of the edentulous patients (60·00 ± 15·6). Speech production quality is significantly reduced after complete loss of teeth. Reconstitution of speech production quality is an important part of dental rehabilitation and can be improved for edentulous patients by means of complete dentures. The ASR has proven to be a useful and easily applicable tool for automatic speech assessment in a standardized way.
Url:
DOI: 10.1111/j.1365-2842.2009.02047.x
Links to Exploration step
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<front><div type="abstract">Summary Dental rehabilitation of edentulous patients with complete dentures includes not only aesthetics and mastication of food, but also speech quality. It was the aim of this study to introduce and validate a computer‐based speech recognition system (ASR) for automatic speech assessment in edentulous patients after dental rehabilitation with complete dentures. To examine the impact of dentures on speech production, the speech outcome of edentulous patients with and without complete dentures was compared. Twenty‐eight patients reading a standardized text were recorded twice – with and without their complete dentures in situ. A control group of 40 healthy subjects with natural dentition was recorded under the same conditions. Speech quality was evaluated by means of a polyphone‐based ASR according to the percentage of the word accuracy (WA). Speech acceptability assessment by expert listeners and the automatic rating of the WA by the ASR showed a high correlation (corr = 0·71). Word accuracy was significantly reduced in edentulous speakers (55·42 ± 13·1) compared to the control group’s WA (69·79 ± 10·6). On the other hand, wearing complete dentures significantly increased the WA of the edentulous patients (60·00 ± 15·6). Speech production quality is significantly reduced after complete loss of teeth. Reconstitution of speech production quality is an important part of dental rehabilitation and can be improved for edentulous patients by means of complete dentures. The ASR has proven to be a useful and easily applicable tool for automatic speech assessment in a standardized way.</div>
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<abstract>Summary Dental rehabilitation of edentulous patients with complete dentures includes not only aesthetics and mastication of food, but also speech quality. It was the aim of this study to introduce and validate a computer‐based speech recognition system (ASR) for automatic speech assessment in edentulous patients after dental rehabilitation with complete dentures. To examine the impact of dentures on speech production, the speech outcome of edentulous patients with and without complete dentures was compared. Twenty‐eight patients reading a standardized text were recorded twice – with and without their complete dentures in situ. A control group of 40 healthy subjects with natural dentition was recorded under the same conditions. Speech quality was evaluated by means of a polyphone‐based ASR according to the percentage of the word accuracy (WA). Speech acceptability assessment by expert listeners and the automatic rating of the WA by the ASR showed a high correlation (corr = 0·71). Word accuracy was significantly reduced in edentulous speakers (55·42 ± 13·1) compared to the control group’s WA (69·79 ± 10·6). On the other hand, wearing complete dentures significantly increased the WA of the edentulous patients (60·00 ± 15·6). Speech production quality is significantly reduced after complete loss of teeth. Reconstitution of speech production quality is an important part of dental rehabilitation and can be improved for edentulous patients by means of complete dentures. The ASR has proven to be a useful and easily applicable tool for automatic speech assessment in a standardized way.</abstract>
<subject lang="en"><genre>keywords</genre>
<topic>speech quality</topic>
<topic>automatic speech recognition</topic>
<topic>objective speech assessment</topic>
<topic>edentulism</topic>
<topic>complete dentures</topic>
<topic>oral rehabilitation</topic>
</subject>
<relatedItem type="host"><titleInfo><title>Journal of Oral Rehabilitation</title>
</titleInfo>
<genre type="journal" authority="ISTEX" authorityURI="https://publication-type.data.istex.fr" valueURI="https://publication-type.data.istex.fr/ark:/67375/JMC-0GLKJH51-B">journal</genre>
<identifier type="ISSN">0305-182X</identifier>
<identifier type="eISSN">1365-2842</identifier>
<identifier type="DOI">10.1111/(ISSN)1365-2842</identifier>
<identifier type="PublisherID">JOOR</identifier>
<part><date>2010</date>
<detail type="volume"><caption>vol.</caption>
<number>37</number>
</detail>
<detail type="issue"><caption>no.</caption>
<number>3</number>
</detail>
<extent unit="pages"><start>209</start>
<end>216</end>
<total>8</total>
</extent>
</part>
</relatedItem>
<identifier type="istex">B12F7CF1623CE12E129B5EE854438851DDB89210</identifier>
<identifier type="ark">ark:/67375/WNG-5K7GSMMX-K</identifier>
<identifier type="DOI">10.1111/j.1365-2842.2009.02047.x</identifier>
<identifier type="ArticleID">JOOR2047</identifier>
<accessCondition type="use and reproduction" contentType="copyright">© 2010 The Authors. Journal compilation © 2010 Blackwell Publishing Ltd</accessCondition>
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<recordOrigin>Blackwell Publishing Ltd</recordOrigin>
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