Automatic detection and evaluation of edentulous speakers with insufficient dentures

Tobias Bocklet; Florian Hönig; Tino Haderlein; Florian Stelzle; Christian Knipfer; Elmar Nöth

doi:10.1007/978-3-642-15760-8_31

Automatic detection and evaluation of edentulous speakers with insufficient dentures

Standard

Automatic detection and evaluation of edentulous speakers with insufficient dentures. / Bocklet, Tobias; Hönig, Florian; Haderlein, Tino; Stelzle, Florian; Knipfer, Christian; Nöth, Elmar.

in: LECT NOTES COMPUT SC, 2010, S. 243-250.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › Konferenzaufsatz in Fachzeitschrift › Forschung › Begutachtung

Harvard

Bocklet, T, Hönig, F, Haderlein, T, Stelzle, F, Knipfer, C & Nöth, E 2010, 'Automatic detection and evaluation of edentulous speakers with insufficient dentures', LECT NOTES COMPUT SC, S. 243-250. https://doi.org/10.1007/978-3-642-15760-8_31

APA

Bocklet, T., Hönig, F., Haderlein, T., Stelzle, F., Knipfer, C., & Nöth, E. (2010). Automatic detection and evaluation of edentulous speakers with insufficient dentures. LECT NOTES COMPUT SC, 243-250. https://doi.org/10.1007/978-3-642-15760-8_31

Vancouver

Bocklet T, Hönig F, Haderlein T, Stelzle F, Knipfer C, Nöth E. Automatic detection and evaluation of edentulous speakers with insufficient dentures. LECT NOTES COMPUT SC. 2010;243-250. https://doi.org/10.1007/978-3-642-15760-8_31

Bibtex

@article{2dde44ff5c6c45c3b4c1e4d6559524dd,

title = "Automatic detection and evaluation of edentulous speakers with insufficient dentures",

abstract = "Dental rehabilitation by complete dentures is a state-of-the-art approach to improve functional aspects of the oral cavity of edentulous patients. It is important to assure that these dentures have a sufficient fit. We introduce a dataset of 13 edentulous patients that have been recorded with and without complete dentures in situ. These patients have been rated an insufficient fit of their dentures, so that additional (sufficient) dentures and additional speech recordings have been prepared. In this paper we show that sufficient dentures increase the performance of an ASR system by ca. 27 %. Based on these results, we present and discuss three different systems that automatically determine whether the dentures of an edentulous person have a sufficient fit or not. The system with the best performance models the recordings by GMMs and uses the mean vectors of these GMMs as features in an SVM. With this system we were able to achieve a recognition rate of 80 %.",

keywords = "applied system, assistive technology, speech recognition, user modeling",

author = "Tobias Bocklet and Florian H{\"o}nig and Tino Haderlein and Florian Stelzle and Christian Knipfer and Elmar N{\"o}th",

year = "2010",

doi = "10.1007/978-3-642-15760-8_31",

language = "English",

pages = "243--250",

journal = "LECT NOTES COMPUT SC",

issn = "0302-9743",

publisher = "Springer",

}

RIS

TY - JOUR

T1 - Automatic detection and evaluation of edentulous speakers with insufficient dentures

AU - Bocklet, Tobias

AU - Hönig, Florian

AU - Haderlein, Tino

AU - Stelzle, Florian

AU - Knipfer, Christian

AU - Nöth, Elmar

PY - 2010

Y1 - 2010

N2 - Dental rehabilitation by complete dentures is a state-of-the-art approach to improve functional aspects of the oral cavity of edentulous patients. It is important to assure that these dentures have a sufficient fit. We introduce a dataset of 13 edentulous patients that have been recorded with and without complete dentures in situ. These patients have been rated an insufficient fit of their dentures, so that additional (sufficient) dentures and additional speech recordings have been prepared. In this paper we show that sufficient dentures increase the performance of an ASR system by ca. 27 %. Based on these results, we present and discuss three different systems that automatically determine whether the dentures of an edentulous person have a sufficient fit or not. The system with the best performance models the recordings by GMMs and uses the mean vectors of these GMMs as features in an SVM. With this system we were able to achieve a recognition rate of 80 %.

AB - Dental rehabilitation by complete dentures is a state-of-the-art approach to improve functional aspects of the oral cavity of edentulous patients. It is important to assure that these dentures have a sufficient fit. We introduce a dataset of 13 edentulous patients that have been recorded with and without complete dentures in situ. These patients have been rated an insufficient fit of their dentures, so that additional (sufficient) dentures and additional speech recordings have been prepared. In this paper we show that sufficient dentures increase the performance of an ASR system by ca. 27 %. Based on these results, we present and discuss three different systems that automatically determine whether the dentures of an edentulous person have a sufficient fit or not. The system with the best performance models the recordings by GMMs and uses the mean vectors of these GMMs as features in an SVM. With this system we were able to achieve a recognition rate of 80 %.

KW - applied system

KW - assistive technology

KW - speech recognition

KW - user modeling

UR - http://www.scopus.com/inward/record.url?scp=78049295631&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-15760-8_31

DO - 10.1007/978-3-642-15760-8_31

M3 - Conference article in journal

AN - SCOPUS:78049295631

SP - 243

EP - 250

JO - LECT NOTES COMPUT SC

JF - LECT NOTES COMPUT SC

SN - 0302-9743

T2 - 13th International Conference on Text, Speech and Dialogue, TSD 2010

Y2 - 6 September 2010 through 10 September 2010

ER -