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Found 2 papers, 1 papers with code
Data Augmentation for Dementia Detection in Spoken Language
In this work, we investigate data augmentation techniques for the task of AD detection and perform an empirical evaluation of the different approaches on two kinds of models for both the text and audio domains.
Domain Adversarial Neural Networks for Dysarthric Speech Recognition
The results are compared to a speaker-adaptive (SA) model as well as speaker-dependent (SD) and multi-task learning models (MTL).
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