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
ISTEX:B12F7CF1623CE12E129B5EE854438851DDB89210Le document en format XML
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Stelzle</name><affiliation><mods:affiliation>Department of Oral and Maxillofacial Surgery, Friedrich‐Alexander‐University Erlangen‐Nuremberg, Erlangen</mods:affiliation></affiliation></author><author><name sortKey="Ugrinovic, B" sort="Ugrinovic, B" uniqKey="Ugrinovic B" first="B." last="Ugrinovic">B. Ugrinovic</name><affiliation><mods:affiliation>Department of Prosthodontics, Friedrich‐Alexander‐University Erlangen‐Nuremberg Erlangen</mods:affiliation></affiliation></author><author><name sortKey="Knipfer, C" sort="Knipfer, C" uniqKey="Knipfer C" first="C." last="Knipfer">C. Knipfer</name><affiliation><mods:affiliation>Department of Oral and Maxillofacial Surgery, Friedrich‐Alexander‐University Erlangen‐Nuremberg, Erlangen</mods:affiliation></affiliation></author><author><name sortKey="Bocklet, T" sort="Bocklet, T" uniqKey="Bocklet T" first="T." last="Bocklet">T. Bocklet</name><affiliation><mods:affiliation>Department of Oral and Maxillofacial Surgery, Friedrich‐Alexander‐University Erlangen‐Nuremberg, Erlangen</mods:affiliation></affiliation><affiliation><mods:affiliation>Chair of Pattern Recognition, Department of Computer Science, Friedrich‐Alexander‐University Erlangen‐Nuremberg Erlangen</mods:affiliation></affiliation></author><author><name sortKey="Noth, E" sort="Noth, E" uniqKey="Noth E" first="E." last="Nöth">E. Nöth</name><affiliation><mods:affiliation>Chair of Pattern Recognition, Department of Computer Science, Friedrich‐Alexander‐University Erlangen‐Nuremberg Erlangen</mods:affiliation></affiliation></author><author><name sortKey="Schuster, M" sort="Schuster, M" uniqKey="Schuster M" first="M." last="Schuster">M. 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Nkenke</name><affiliation><mods:affiliation>Department of Oral and Maxillofacial Surgery, Friedrich‐Alexander‐University Erlangen‐Nuremberg, Erlangen</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j" type="main">Journal of Oral Rehabilitation</title><title level="j" type="alt">JOURNAL ORAL REHABILITATION</title><idno type="ISSN">0305-182X</idno><idno type="eISSN">1365-2842</idno><imprint><biblScope unit="vol">37</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="209">209</biblScope><biblScope unit="page" to="216">216</biblScope><biblScope unit="page-count">8</biblScope><publisher>Blackwell Publishing Ltd</publisher><pubPlace>Oxford, UK</pubPlace><date type="published" when="2010-03">2010-03</date></imprint><idno type="ISSN">0305-182X</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0305-182X</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Acceptability</term><term>Acoustic signal</term><term>Articulation</term><term>Automatic speech assessment</term><term>Automatic speech recognition</term><term>Automatic speech recognition system</term><term>Automatic system</term><term>Binary decisions</term><term>Blackwell publishing</term><term>Cancer surgery</term><term>Cell carcinoma</term><term>Cleft palate craniofac</term><term>Complete denture</term><term>Complete dentures</term><term>Computer science</term><term>Control group</term><term>Dental arch</term><term>Dental rehabilitation</term><term>Denture</term><term>Edentulous</term><term>Edentulous patients</term><term>Edentulous persons</term><term>Edentulous speakers</term><term>Elderly people</term><term>Ethics committee</term><term>Expert listeners</term><term>Expert ratings</term><term>General satisfaction</term><term>Habituation</term><term>Habituation period</term><term>High correlation</term><term>Intelligibility</term><term>Journal compilation</term><term>Markov models</term><term>Maxillofacial surgery</term><term>Objective speech assessment</term><term>Oral cavity</term><term>Oral rehabil</term><term>Oral rehabilitation</term><term>Other hand</term><term>Palate</term><term>Patient group</term><term>Pattern recognition</term><term>Pearson correlation</term><term>Percentage agreement</term><term>Perceptual rating</term><term>Present study</term><term>Prosth dent</term><term>Prosthesis</term><term>Prosthet dent</term><term>Rater</term><term>Raters</term><term>Reference text</term><term>Several listeners</term><term>Single word</term><term>Spectral analysis</term><term>Speech ability</term><term>Speech acceptability</term><term>Speech acceptability judgements</term><term>Speech assessment</term><term>Speech disorders</term><term>Speech intelligibility</term><term>Speech production</term><term>Speech production quality</term><term>Speech quality</term><term>Speech recognition</term><term>Speech recognition scores</term><term>Speech recognition system</term><term>Speech therapists</term><term>Standardized speech assessment</term><term>Statistical word models</term><term>Stochastic language models</term><term>Trigram models</term><term>Word accuracy</term></keywords><keywords scheme="Teeft" xml:lang="en"><term>Acceptability</term><term>Acoustic signal</term><term>Articulation</term><term>Automatic speech assessment</term><term>Automatic speech recognition</term><term>Automatic speech recognition system</term><term>Automatic system</term><term>Binary decisions</term><term>Blackwell publishing</term><term>Cancer surgery</term><term>Cell carcinoma</term><term>Cleft palate craniofac</term><term>Complete denture</term><term>Complete dentures</term><term>Computer science</term><term>Control group</term><term>Dental arch</term><term>Dental rehabilitation</term><term>Denture</term><term>Edentulous</term><term>Edentulous patients</term><term>Edentulous persons</term><term>Edentulous speakers</term><term>Elderly people</term><term>Ethics committee</term><term>Expert listeners</term><term>Expert ratings</term><term>General satisfaction</term><term>Habituation</term><term>Habituation period</term><term>High correlation</term><term>Intelligibility</term><term>Journal compilation</term><term>Markov models</term><term>Maxillofacial surgery</term><term>Objective speech assessment</term><term>Oral cavity</term><term>Oral rehabil</term><term>Oral rehabilitation</term><term>Other hand</term><term>Palate</term><term>Patient group</term><term>Pattern recognition</term><term>Pearson correlation</term><term>Percentage agreement</term><term>Perceptual rating</term><term>Present study</term><term>Prosth dent</term><term>Prosthesis</term><term>Prosthet dent</term><term>Rater</term><term>Raters</term><term>Reference text</term><term>Several listeners</term><term>Single word</term><term>Spectral analysis</term><term>Speech ability</term><term>Speech acceptability</term><term>Speech acceptability judgements</term><term>Speech assessment</term><term>Speech disorders</term><term>Speech intelligibility</term><term>Speech production</term><term>Speech production quality</term><term>Speech quality</term><term>Speech recognition</term><term>Speech recognition scores</term><term>Speech recognition system</term><term>Speech therapists</term><term>Standardized speech assessment</term><term>Statistical word models</term><term>Stochastic language models</term><term>Trigram models</term><term>Word accuracy</term></keywords></textClass></profileDesc></teiHeader><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></front></TEI><istex><corpusName>wiley</corpusName><keywords><teeft><json:string>denture</json:string><json:string>complete dentures</json:string><json:string>edentulous patients</json:string><json:string>rater</json:string><json:string>intelligibility</json:string><json:string>speech production</json:string><json:string>raters</json:string><json:string>edentulous</json:string><json:string>control group</json:string><json:string>dental rehabilitation</json:string><json:string>prosthesis</json:string><json:string>speech quality</json:string><json:string>blackwell publishing</json:string><json:string>journal compilation</json:string><json:string>habituation</json:string><json:string>speech intelligibility</json:string><json:string>automatic speech recognition</json:string><json:string>speech production quality</json:string><json:string>speech disorders</json:string><json:string>speech recognition</json:string><json:string>word accuracy</json:string><json:string>oral cavity</json:string><json:string>speech assessment</json:string><json:string>articulation</json:string><json:string>speech therapists</json:string><json:string>automatic speech assessment</json:string><json:string>automatic system</json:string><json:string>high correlation</json:string><json:string>spectral analysis</json:string><json:string>oral rehabil</json:string><json:string>reference text</json:string><json:string>speech acceptability judgements</json:string><json:string>binary decisions</json:string><json:string>percentage agreement</json:string><json:string>dental arch</json:string><json:string>present study</json:string><json:string>palate</json:string><json:string>acceptability</json:string><json:string>standardized speech assessment</json:string><json:string>general satisfaction</json:string><json:string>patient group</json:string><json:string>pattern recognition</json:string><json:string>ethics committee</json:string><json:string>computer science</json:string><json:string>complete denture</json:string><json:string>oral rehabilitation</json:string><json:string>elderly people</json:string><json:string>speech recognition system</json:string><json:string>edentulous speakers</json:string><json:string>pearson correlation</json:string><json:string>automatic speech recognition system</json:string><json:string>statistical word models</json:string><json:string>markov models</json:string><json:string>acoustic signal</json:string><json:string>stochastic language models</json:string><json:string>trigram models</json:string><json:string>single word</json:string><json:string>edentulous persons</json:string><json:string>speech recognition scores</json:string><json:string>other hand</json:string><json:string>several listeners</json:string><json:string>speech ability</json:string><json:string>speech acceptability</json:string><json:string>expert ratings</json:string><json:string>cell carcinoma</json:string><json:string>maxillofacial surgery</json:string><json:string>expert listeners</json:string><json:string>habituation period</json:string><json:string>perceptual rating</json:string><json:string>objective speech assessment</json:string><json:string>prosthet dent</json:string><json:string>cancer surgery</json:string><json:string>cleft palate craniofac</json:string><json:string>prosth dent</json:string></teeft></keywords><author><json:item><name>F. STELZLE</name><affiliations><json:string>Department of Oral and Maxillofacial Surgery, Friedrich‐Alexander‐University Erlangen‐Nuremberg, Erlangen</json:string></affiliations></json:item><json:item><name>B. UGRINOVIC</name><affiliations><json:string>Department of Prosthodontics, Friedrich‐Alexander‐University Erlangen‐Nuremberg Erlangen</json:string></affiliations></json:item><json:item><name>C. KNIPFER</name><affiliations><json:string>Department of Oral and Maxillofacial Surgery, Friedrich‐Alexander‐University Erlangen‐Nuremberg, Erlangen</json:string></affiliations></json:item><json:item><name>T. BOCKLET</name><affiliations><json:string>Department of Oral and Maxillofacial Surgery, Friedrich‐Alexander‐University Erlangen‐Nuremberg, Erlangen</json:string><json:string>Chair of Pattern Recognition, Department of Computer Science, Friedrich‐Alexander‐University Erlangen‐Nuremberg Erlangen</json:string></affiliations></json:item><json:item><name>E. NÖTH</name><affiliations><json:string>Chair of Pattern Recognition, Department of Computer Science, Friedrich‐Alexander‐University Erlangen‐Nuremberg Erlangen</json:string></affiliations></json:item><json:item><name>M. SCHUSTER</name><affiliations><json:string>Department of Phoniatrics and Pediatric Audiology, Friedrich‐Alexander‐University Erlangen‐Nuremberg Erlangen, Germany</json:string></affiliations></json:item><json:item><name>S. EITNER</name><affiliations><json:string>Department of Prosthodontics, Friedrich‐Alexander‐University Erlangen‐Nuremberg Erlangen</json:string></affiliations></json:item><json:item><name>M. SEISS</name><affiliations><json:string>Department of Oral and Maxillofacial Surgery, Friedrich‐Alexander‐University Erlangen‐Nuremberg, Erlangen</json:string></affiliations></json:item><json:item><name>E. NKENKE</name><affiliations><json:string>Department of Oral and Maxillofacial Surgery, Friedrich‐Alexander‐University Erlangen‐Nuremberg, Erlangen</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>speech quality</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>automatic speech recognition</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>objective speech assessment</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>edentulism</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>complete dentures</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>oral rehabilitation</value></json:item></subject><articleId><json:string>JOOR2047</json:string></articleId><arkIstex>ark:/67375/WNG-5K7GSMMX-K</arkIstex><language><json:string>eng</json:string></language><originalGenre><json:string>article</json:string></originalGenre><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><qualityIndicators><score>9.309</score><pdfWordCount>4501</pdfWordCount><pdfCharCount>28348</pdfCharCount><pdfVersion>1.3</pdfVersion><pdfPageCount>8</pdfPageCount><pdfPageSize>595.276 x 782.362 pts</pdfPageSize><refBibsNative>true</refBibsNative><abstractWordCount>234</abstractWordCount><abstractCharCount>1604</abstractCharCount><keywordCount>6</keywordCount></qualityIndicators><title>Automatic, computer‐based speech assessment on edentulous patients with and without complete dentures – preliminary results</title><pmid><json:string>20085615</json:string></pmid><genre><json:string>article</json:string></genre><host><title>Journal of Oral Rehabilitation</title><language><json:string>unknown</json:string></language><doi><json:string>10.1111/(ISSN)1365-2842</json:string></doi><issn><json:string>0305-182X</json:string></issn><eissn><json:string>1365-2842</json:string></eissn><publisherId><json:string>JOOR</json:string></publisherId><volume>37</volume><issue>3</issue><pages><first>209</first><last>216</last><total>8</total></pages><genre><json:string>journal</json:string></genre></host><namedEntities><unitex><date><json:string>1975</json:string><json:string>2010</json:string></date><geogName></geogName><orgName><json:string>Department of Computer Science, Chair of Pattern Recognition, University of Erlangen-Nuremberg</json:string><json:string>Department of Computer Science, Friedrich-Alexander-University Erlangen-Nuremberg Erlangen</json:string><json:string>Department of Prosthodontics, Friedrich-Alexander-University</json:string><json:string>Germany SUMMARY Dental</json:string><json:string>Blackwell Publishing Ltd</json:string><json:string>University of Erlangen-Nuremberg</json:string><json:string>Department of Prosthodontics, Dental</json:string><json:string>Department of Phoniatrics and Pediatric Audiology</json:string></orgName><orgName_funder></orgName_funder><orgName_provider></orgName_provider><persName><json:string>Age</json:string><json:string>Max Mean</json:string><json:string>Min Max</json:string></persName><placeName><json:string>IL</json:string><json:string>Nuremberg</json:string><json:string>Germany</json:string><json:string>Erlangen</json:string><json:string>Helsinki</json:string><json:string>USA</json:string><json:string>Chicago</json:string></placeName><ref_url></ref_url><ref_bibl><json:string>Ichikawa et al.</json:string><json:string>Lundqvist et al.</json:string><json:string>Ungvari et al.</json:string><json:string>Stojcevic et al.</json:string><json:string>Seifert et al.</json:string><json:string>Runte et al.</json:string><json:string>Molly et al.</json:string></ref_bibl><bibl></bibl></unitex></namedEntities><ark><json:string>ark:/67375/WNG-5K7GSMMX-K</json:string></ark><categories><wos><json:string>1 - science</json:string><json:string>2 - dentistry, oral surgery & medicine</json:string></wos><scienceMetrix><json:string>1 - health sciences</json:string><json:string>2 - clinical medicine</json:string><json:string>3 - dentistry</json:string></scienceMetrix><scopus><json:string>1 - Health Sciences</json:string><json:string>2 - Dentistry</json:string><json:string>3 - General Dentistry</json:string></scopus></categories><publicationDate>2010</publicationDate><copyrightDate>2010</copyrightDate><doi><json:string>10.1111/j.1365-2842.2009.02047.x</json:string></doi><id>B12F7CF1623CE12E129B5EE854438851DDB89210</id><score>1</score><fulltext><json:item><extension>pdf</extension><original>true</original><mimetype>application/pdf</mimetype><uri>https://api.istex.fr/document/B12F7CF1623CE12E129B5EE854438851DDB89210/fulltext/pdf</uri></json:item><json:item><extension>zip</extension><original>false</original><mimetype>application/zip</mimetype><uri>https://api.istex.fr/document/B12F7CF1623CE12E129B5EE854438851DDB89210/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/B12F7CF1623CE12E129B5EE854438851DDB89210/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a" type="main">Automatic, computer‐based speech assessment on edentulous patients with and without complete dentures – preliminary results</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>Blackwell Publishing Ltd</publisher><pubPlace>Oxford, UK</pubPlace><availability><licence>© 2010 The Authors. Journal compilation © 2010 Blackwell Publishing Ltd</licence></availability><date type="published" when="2010-03"></date></publicationStmt><notesStmt><note type="content-type" subtype="article" source="article" scheme="https://content-type.data.istex.fr/ark:/67375/XTP-6N5SZHKN-D">article</note><note type="publication-type" subtype="journal" scheme="https://publication-type.data.istex.fr/ark:/67375/JMC-0GLKJH51-B">journal</note></notesStmt><sourceDesc><biblStruct type="article"><analytic><title level="a" type="main">Automatic, computer‐based speech assessment on edentulous patients with and without complete dentures – preliminary results</title><title level="a" type="short">AUTOMATIC, COMPUTER‐BASED SPEECH ASSESSMENT</title><author xml:id="author-0000"><persName><forename type="first">F.</forename><surname>STELZLE</surname></persName><affiliation>Department of Oral and Maxillofacial Surgery, Friedrich‐Alexander‐University Erlangen‐Nuremberg, Erlangen</affiliation></author><author xml:id="author-0001"><persName><forename type="first">B.</forename><surname>UGRINOVIC</surname></persName><affiliation>Department of Prosthodontics, Friedrich‐Alexander‐University Erlangen‐Nuremberg Erlangen</affiliation></author><author xml:id="author-0002"><persName><forename type="first">C.</forename><surname>KNIPFER</surname></persName><affiliation>Department of Oral and Maxillofacial Surgery, Friedrich‐Alexander‐University Erlangen‐Nuremberg, Erlangen</affiliation></author><author xml:id="author-0003"><persName><forename type="first">T.</forename><surname>BOCKLET</surname></persName><affiliation>Department of Oral and Maxillofacial Surgery, Friedrich‐Alexander‐University Erlangen‐Nuremberg, Erlangen</affiliation><affiliation>Chair of Pattern Recognition, Department of Computer Science, Friedrich‐Alexander‐University Erlangen‐Nuremberg Erlangen</affiliation></author><author xml:id="author-0004"><persName><forename type="first">E.</forename><surname>NÖTH</surname></persName><affiliation>Chair of Pattern Recognition, Department of Computer Science, Friedrich‐Alexander‐University Erlangen‐Nuremberg Erlangen</affiliation></author><author xml:id="author-0005"><persName><forename type="first">M.</forename><surname>SCHUSTER</surname></persName><affiliation>Department of Phoniatrics and Pediatric Audiology, Friedrich‐Alexander‐University Erlangen‐Nuremberg Erlangen, Germany<address><country key="DE"></country></address></affiliation></author><author xml:id="author-0006"><persName><forename type="first">S.</forename><surname>EITNER</surname></persName><affiliation>Department of Prosthodontics, Friedrich‐Alexander‐University Erlangen‐Nuremberg Erlangen</affiliation></author><author xml:id="author-0007"><persName><forename type="first">M.</forename><surname>SEISS</surname></persName><affiliation>Department of Oral and Maxillofacial Surgery, Friedrich‐Alexander‐University Erlangen‐Nuremberg, Erlangen</affiliation></author><author xml:id="author-0008"><persName><forename type="first">E.</forename><surname>NKENKE</surname></persName><affiliation>Department of Oral and Maxillofacial Surgery, Friedrich‐Alexander‐University Erlangen‐Nuremberg, Erlangen</affiliation></author><idno type="istex">B12F7CF1623CE12E129B5EE854438851DDB89210</idno><idno type="ark">ark:/67375/WNG-5K7GSMMX-K</idno><idno type="DOI">10.1111/j.1365-2842.2009.02047.x</idno><idno type="unit">JOOR2047</idno><idno type="toTypesetVersion">file:JOOR.JOOR2047.pdf</idno></analytic><monogr><title level="j" type="main">Journal of Oral Rehabilitation</title><title level="j" type="alt">JOURNAL ORAL REHABILITATION</title><idno type="pISSN">0305-182X</idno><idno type="eISSN">1365-2842</idno><idno type="book-DOI">10.1111/(ISSN)1365-2842</idno><idno type="book-part-DOI">10.1111/jor.2010.37.issue-3</idno><idno type="product">JOOR</idno><idno type="publisherDivision">ST</idno><imprint><biblScope unit="vol">37</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="209">209</biblScope><biblScope unit="page" to="216">216</biblScope><biblScope unit="page-count">8</biblScope><publisher>Blackwell Publishing Ltd</publisher><pubPlace>Oxford, UK</pubPlace><date type="published" when="2010-03"></date></imprint></monogr></biblStruct></sourceDesc></fileDesc><profileDesc><abstract xml:lang="en" style="main"><p><hi rend="bold">Summary </hi> 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 <hi rend="italic">in situ</hi>. 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 (<hi rend="italic">corr</hi> = 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.</p></abstract><textClass><keywords xml:lang="en"><term xml:id="k1">speech quality</term><term xml:id="k2">automatic speech recognition</term><term xml:id="k3">objective speech assessment</term><term xml:id="k4">edentulism</term><term xml:id="k5">complete dentures</term><term xml:id="k6">oral rehabilitation</term></keywords><keywords rend="tocHeading1"><term>Original Articles</term></keywords></textClass><langUsage><language ident="en"></language></langUsage></profileDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/B12F7CF1623CE12E129B5EE854438851DDB89210/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Wiley, elements deleted: body"><istex:xmlDeclaration>version="1.0" encoding="UTF-8" standalone="yes"</istex:xmlDeclaration><istex:document><component version="2.0" type="serialArticle" xml:lang="en"><header><publicationMeta level="product"><publisherInfo><publisherName>Blackwell Publishing Ltd</publisherName><publisherLoc>Oxford, UK</publisherLoc></publisherInfo><doi origin="wiley" registered="yes">10.1111/(ISSN)1365-2842</doi><issn type="print">0305-182X</issn><issn type="electronic">1365-2842</issn><idGroup><id type="product" value="JOOR"></id><id type="publisherDivision" value="ST"></id></idGroup><titleGroup><title type="main" sort="JOURNAL ORAL REHABILITATION">Journal of Oral Rehabilitation</title></titleGroup></publicationMeta><publicationMeta level="part" position="03003"><doi origin="wiley">10.1111/jor.2010.37.issue-3</doi><numberingGroup><numbering type="journalVolume" number="37">37</numbering><numbering type="journalIssue" number="3">3</numbering></numberingGroup><coverDate startDate="2010-03">March 2010</coverDate></publicationMeta><publicationMeta level="unit" type="article" position="8" status="forIssue"><doi origin="wiley">10.1111/j.1365-2842.2009.02047.x</doi><idGroup><id type="unit" value="JOOR2047"></id></idGroup><countGroup><count type="pageTotal" number="8"></count></countGroup><titleGroup><title type="tocHeading1">Original Articles</title></titleGroup><copyright>© 2010 The Authors. Journal compilation © 2010 Blackwell Publishing Ltd</copyright><eventGroup><event type="firstOnline" date="2010-01-17"></event><event type="publishedOnlineFinalForm" date="2010-02-02"></event><event type="xmlConverted" agent="Converter:BPG_TO_WML3G version:2.3.2 mode:FullText source:FullText result:FullText" date="2010-03-06"></event><event type="xmlConverted" agent="Converter:WILEY_ML3G_TO_WILEY_ML3GV2 version:4.0.1" date="2014-03-20"></event><event type="xmlConverted" agent="Converter:WML3G_To_WML3G version:4.1.7 mode:FullText,remove_FC" date="2014-10-30"></event></eventGroup><numberingGroup><numbering type="pageFirst" number="209">209</numbering><numbering type="pageLast" number="216">216</numbering></numberingGroup><correspondenceTo>Dr. Florian Stelzle, Department of Oral and Maxillofacial Surgery, Friedrich‐Alexander‐University Erlangen‐Nuremberg, Glueckstrasse 11, 91054 Erlangen, Germany. E‐mail: <email normalForm="Florian.Stelzle@uk-erlangen.de">Florian.Stelzle@uk‐erlangen.de</email></correspondenceTo><linkGroup><link type="toTypesetVersion" href="file:JOOR.JOOR2047.pdf"></link></linkGroup></publicationMeta><contentMeta><unparsedEditorialHistory>Accepted for publication 13 December 2009</unparsedEditorialHistory><countGroup><count type="figureTotal" number="0"></count><count type="tableTotal" number="5"></count></countGroup><titleGroup><title type="main">Automatic, computer‐based speech assessment on edentulous patients with and without complete dentures – preliminary results</title><title type="shortAuthors">F. STELZLE <i>et al.</i></title><title type="short">AUTOMATIC, COMPUTER‐BASED SPEECH ASSESSMENT</title></titleGroup><creators><creator creatorRole="author" xml:id="cr1" affiliationRef="#a1"><personName><givenNames>F.</givenNames><familyName>STELZLE</familyName></personName></creator><creator creatorRole="author" xml:id="cr2" affiliationRef="#a2"><personName><givenNames>B.</givenNames><familyName>UGRINOVIC</familyName></personName></creator><creator creatorRole="author" xml:id="cr3" affiliationRef="#a1"><personName><givenNames>C.</givenNames><familyName>KNIPFER</familyName></personName></creator><creator creatorRole="author" xml:id="cr4" affiliationRef="#a1 #a3"><personName><givenNames>T.</givenNames><familyName>BOCKLET</familyName></personName></creator><creator creatorRole="author" xml:id="cr5" affiliationRef="#a3"><personName><givenNames>E.</givenNames><familyName>NÖTH</familyName></personName></creator><creator creatorRole="author" xml:id="cr6" affiliationRef="#a4"><personName><givenNames>M.</givenNames><familyName>SCHUSTER</familyName></personName></creator><creator creatorRole="author" xml:id="cr7" affiliationRef="#a2"><personName><givenNames>S.</givenNames><familyName>EITNER</familyName></personName></creator><creator creatorRole="author" xml:id="cr8" affiliationRef="#a1"><personName><givenNames>M.</givenNames><familyName>SEISS</familyName></personName></creator><creator creatorRole="author" xml:id="cr9" affiliationRef="#a1"><personName><givenNames>E.</givenNames><familyName>NKENKE</familyName></personName></creator></creators><affiliationGroup><affiliation xml:id="a1"><unparsedAffiliation>Department of Oral and Maxillofacial Surgery, Friedrich‐Alexander‐University Erlangen‐Nuremberg, Erlangen</unparsedAffiliation></affiliation><affiliation xml:id="a2"><unparsedAffiliation>Department of Prosthodontics, Friedrich‐Alexander‐University Erlangen‐Nuremberg Erlangen</unparsedAffiliation></affiliation><affiliation xml:id="a3"><unparsedAffiliation>Chair of Pattern Recognition, Department of Computer Science, Friedrich‐Alexander‐University Erlangen‐Nuremberg Erlangen</unparsedAffiliation></affiliation><affiliation xml:id="a4" countryCode="DE"><unparsedAffiliation>Department of Phoniatrics and Pediatric Audiology, Friedrich‐Alexander‐University Erlangen‐Nuremberg Erlangen, Germany</unparsedAffiliation></affiliation></affiliationGroup><keywordGroup xml:lang="en"><keyword xml:id="k1">speech quality</keyword><keyword xml:id="k2">automatic speech recognition</keyword><keyword xml:id="k3">objective speech assessment</keyword><keyword xml:id="k4">edentulism</keyword><keyword xml:id="k5">complete dentures</keyword><keyword xml:id="k6">oral rehabilitation</keyword></keywordGroup><abstractGroup><abstract type="main" xml:lang="en"><p><b>Summary </b> 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 <i>in situ</i>. 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 (<i>corr</i> = 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.</p></abstract></abstractGroup></contentMeta></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Automatic, computer‐based speech assessment on edentulous patients with and without complete dentures – preliminary results</title></titleInfo><titleInfo type="abbreviated" lang="en"><title>AUTOMATIC, COMPUTER‐BASED SPEECH ASSESSMENT</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Automatic, computer‐based speech assessment on edentulous patients with and without complete dentures – preliminary results</title></titleInfo><name type="personal"><namePart type="given">F.</namePart><namePart type="family">STELZLE</namePart><affiliation>Department of Oral and Maxillofacial Surgery, Friedrich‐Alexander‐University Erlangen‐Nuremberg, Erlangen</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">B.</namePart><namePart type="family">UGRINOVIC</namePart><affiliation>Department of Prosthodontics, Friedrich‐Alexander‐University Erlangen‐Nuremberg Erlangen</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">C.</namePart><namePart type="family">KNIPFER</namePart><affiliation>Department of Oral and Maxillofacial Surgery, Friedrich‐Alexander‐University Erlangen‐Nuremberg, Erlangen</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">T.</namePart><namePart type="family">BOCKLET</namePart><affiliation>Department of Oral and Maxillofacial Surgery, Friedrich‐Alexander‐University Erlangen‐Nuremberg, Erlangen</affiliation><affiliation>Chair of Pattern Recognition, Department of Computer Science, Friedrich‐Alexander‐University Erlangen‐Nuremberg Erlangen</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">E.</namePart><namePart type="family">NÖTH</namePart><affiliation>Chair of Pattern Recognition, Department of Computer Science, Friedrich‐Alexander‐University Erlangen‐Nuremberg Erlangen</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">M.</namePart><namePart type="family">SCHUSTER</namePart><affiliation>Department of Phoniatrics and Pediatric Audiology, Friedrich‐Alexander‐University Erlangen‐Nuremberg Erlangen, Germany</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">S.</namePart><namePart type="family">EITNER</namePart><affiliation>Department of Prosthodontics, Friedrich‐Alexander‐University Erlangen‐Nuremberg Erlangen</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">M.</namePart><namePart type="family">SEISS</namePart><affiliation>Department of Oral and Maxillofacial Surgery, Friedrich‐Alexander‐University Erlangen‐Nuremberg, Erlangen</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">E.</namePart><namePart type="family">NKENKE</namePart><affiliation>Department of Oral and Maxillofacial Surgery, Friedrich‐Alexander‐University Erlangen‐Nuremberg, Erlangen</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article" authority="ISTEX" authorityURI="https://content-type.data.istex.fr" valueURI="https://content-type.data.istex.fr/ark:/67375/XTP-6N5SZHKN-D">article</genre><originInfo><publisher>Blackwell Publishing Ltd</publisher><place><placeTerm type="text">Oxford, UK</placeTerm></place><dateIssued encoding="w3cdtf">2010-03</dateIssued><edition>Accepted for publication 13 December 2009</edition><copyrightDate encoding="w3cdtf">2010</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><extent unit="figures">0</extent><extent unit="tables">5</extent></physicalDescription><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. 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