title: Automatic, computer-based speech assessment on edentulous patients with and without complete dentures - preliminary results.
abstract: 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.
authors.affiliation: Department of Oral and Maxillofacial Surgery, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany. Florian.Stelzle@uk-erlangen.de
authors.forename: F
authors.initials: F
authors.lastname: Stelzle
authors.forename: B
authors.initials: B
authors.lastname: Ugrinovic
authors.forename: C
authors.initials: C
authors.lastname: Knipfer
authors.forename: T
authors.initials: T
authors.lastname: Bocklet
authors.forename: E
authors.initials: E
authors.lastname: Nöth
authors.forename: M
authors.initials: M
authors.lastname: Schuster
authors.forename: S
authors.initials: S
authors.lastname: Eitner
authors.forename: M
authors.initials: M
authors.lastname: Seiss
authors.forename: E
authors.initials: E
authors.lastname: Nkenke
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D016022:Case-Control Studies; D003199:Computer Systems; D018772:Dental Marginal Adaptation; D003767:Dental Occlusion, Balanced; D003824:Denture, Complete / Q000523:psychology; D005260:Female; D006801:Humans; D008297:Male; D008409:Mastication / Q000502:physiology; D008875:Middle Aged; D009066:Mouth, Edentulous / Q000503:physiopathology* / Q000534:rehabilitation; D017060:Patient Satisfaction; D013062:Speech Articulation Tests; D013065:Speech Intelligibility / Q000502:physiology*; D013067:Speech Perception / Q000502:physiology; D049250:Speech Recognition Software; D014716:Vertical Dimension