Made by DATEXIS (Data Science and Text-based Information Systems) at Beuth University of Applied Sciences Berlin
Deep Learning Technology: Sebastian Arnold, Betty van Aken, Paul Grundmann, Felix A. Gers and Alexander Löser. Learning Contextualized Document Representations for Healthcare Answer Retrieval. The Web Conference 2020 (WWW'20)
Funded by The Federal Ministry for Economic Affairs and Energy; Grant: 01MD19013D, Smart-MD Project, Digital Technologies
The methods of treatment are being evaluated and changed through several iterations to reach the most beneficial treatment for those with aprosodia. Although the biggest limitation on progress of aprosodia treatment is sample size, some significant data has been found to influence each subsequent phase of study. The Rosenbek lab at the University of Florida is currently in a new phase of treatment study based on combinations of the cognitive-linguistic and imitative therapies delivered in a randomized fashion in an effort to gain more insight into what most prominently affects aprosodia treatment.
The two main forms of treatment are cognition based and imitation based. Cognitive treatments attempt to rebuild the "emotional toolbox" of those with aprosodia. The basis for this treatment is the belief that there exists a defined set of emotional responses that can be chosen for a given scenario. Choosing the proper emotional response can very much be likened to choosing the proper word when describing an object, and this deficiency can be likened to Broca's Aphasia but for emotions. Imitative treatments attempt to help "kickstart" the motor systems involved in the production of both vocal and facial emotive gestures. The basis for this treatment is the belief that the pathways responsible for the motor elements of expressive prosody were damaged. It is hypothesized that the motor damage occurs at the level of planning as well as the level of execution.