Automatic, objective Analysis of speech disorders on persons with oral squamous cell carzinomaOral squamous cell carzinoma belongs to the 10 most frequent malignoma among humans. Their sugery and even their presence can let
to a reduced intelligibility and cause speech disorders. At this state there are no existing methods that allow an objective evaluation,
independent from the medical examiner, to assess the kind and seriousness of specific speech disorders. In previous works we developed an automatic speech
recognition (ASR) system that allows an objective analysis of the intelligbility and the speech quality of persons with squamous cell carzinoma.
The speech intelligbility was measured by the word recognition rate, i.e., the number of correctly recognized words. The goal of this project is to improve the speech recognition system in order to use it within the clinical environment. In addition to the
intelligibility estimattion of a person, it is also important to identify and assess certain articulation disorders. This allows an objective classification and
quantification of speech disorders that are specific for persons with squamous cell carzinoma of the oral cavity. In a second step, a prospective
data collection allows the assignment of speech recordings to the according information about specifc speech disorders and tumor staging/localization.
The voice can be used to assess the speech quality of a person with a malign tumor after treatment. This assessment can be used as an objective decision criterion which
can be included into the decision of a suitable treatment for future therapies. | Project manager: Prof. Dr. Dr. Florian Stelzle
Project participants: Dr. rer. biol. hum. Tobias Bocklet, PD Dr. Maria Schuster, , Prof. em. Dr. med. Dr. med. dent. Dr. h.c. Friedrich Wilhelm Neukam, Prof. Dr.-Ing. Elmar Nöth
Keywords: oral squamous cell carzinoma; automatic analysis if speech disorders; articulation disorders; automatic speech recognition
Duration: 1.1.2008 - 31.3.2010
Sponsored by: Wilhelm Sander-Stiftung
Mitwirkende Institutionen: Mund-, Kiefer-, Gesichtschirurgische Klinik, Universitaet Erlangen-Nuernberg Abteilung fuer Phoniatrie und Paedaudiologie, Universitaet Erlangen-Nuernberg
| Publications |
---|
Stelzle, Florian ; Schuster, Maria ; Maier, Andreas ; Bocklet, Tobias ; Nöth, Elmar ; Seiß, Martin ; Neukam, Friedrich Wilhelm ; Nkenke, Emeka: Automatic Objective Analysis of Speech Disorders on Patients with Oral Squamous Cell Carcinoma. In: Reis, André (Ed.) : 3rd International IZKF-Symposium (3rd International IZKF-Symposium Bad Staffelstein, Germany 14.05.2009 - 16.05.2009). 2009, pp -- (Poster). |
Institution: Chair of Computer Science 5 (Pattern Recognition)
|
|