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Dept. of Computer Sc. » Pattern Recognition » Our Team » Klumpp, Philipp » Projects » Multimodal Analysis of Dysarthric Speech
Philipp Klumpp M. Sc.Researcher in the Speech Processing and Understanding (SAGI) group at the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-NürnbergSignal analysis for pathological speech Multimodal Analysis of Dysarthric SpeechThere are numerous medical conditions that can cause dysarthric speech, such as stroke or Parkinson's disease. Patients are still able to understand lanugage and their articulation organs are morphologically intact, but a neurological damage impairs their ability to produce intelligible speech. Although the degeneration of nerve cells itself is irreversible, the consequences can be lessened by appropriate therapy. The Dysartrain project aims to automatize the therapy process by providing speech and motor exercises through a web application. During an exercise, the performance of a patient is evaluated using speech, video and 3D (Time of flight) recording hardware. All signal analysis results contribute to the final assessment of a training session. |