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Parameter-efficient Dysarthric Speech Recognition Using Adapter Fusion and Householder Transformation
In dysarthric speech recognition, data scarcity and the vast diversity between dysarthric speakers pose significant challenges.
Weak-Supervised Dysarthria-invariant Features for Spoken Language Understanding using an FHVAE and Adversarial Training
The scarcity of training data and the large speaker variation in dysarthric speech lead to poor accuracy and poor speaker generalization of spoken language understanding systems for dysarthric speech.
Speech Disorder Classification Using Extended Factorized Hierarchical Variational Auto-encoders
We show that an extension of the FHVAE model succeeds in the better disentanglement of the content-related and sequence-related related representations, but both representations are still required for best results on disorder type classification.
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