1 citations · 1 across the 7 of their papers we have counts for
3 papers · 1 filter
Geometric Analysis of Speech Representation Spaces: Topological Disentanglement and Confound Detection
Bipasha Kashyap, Pubudu N. Pathirana
Speech-based clinical tools are increasingly deployed in multilingual settings, yet whether pathological speech markers remain geometrically separable from accent variation remains…
Quantifying Dimensional Independence in Speech: An Information-Theoretic Framework for Disentangled Representation Learning
Bipasha Kashyap, Björn W. Schuller, Pubudu N. Pathirana
Speech signals encode emotional, linguistic, and pathological information within a shared acoustic channel; however, disentanglement is typically assessed indirectly through downst…
Quantifying Quanvolutional Neural Networks Robustness for Speech in Healthcare Applications
Ha Tran, Bipasha Kashyap, Pubudu N. Pathirana
Speech-based machine learning systems are sensitive to noise, complicating reliable deployment in emotion recognition and voice pathology detection. We evaluate the robustness of a…