3 citations · 3 across the 2 of their papers we have counts for
3 papers
Shortcut Learning in Binary Classifier Black Boxes: Applications to Voice Anti-Spoofing and Biometrics
Md Sahidullah, Hye-jin Shim, Rosa Gonzalez Hautamäki +1
The widespread adoption of deep-learning models in data-driven applications has drawn attention to the potential risks associated with biased datasets and models. Neglected or hidd…
Towards Explainable Spoofed Speech Attribution and Detection:a Probabilistic Approach for Characterizing Speech Synthesizer Components
Jagabandhu Mishra, Manasi Chhibber, Hye-jin Shim +1
We propose an explainable probabilistic framework for characterizing spoofed speech by decomposing it into probabilistic attribute embeddings. Unlike raw high-dimensional counterme…
An Explainable Probabilistic Attribute Embedding Approach for Spoofed Speech Characterization
Manasi Chhibber, Jagabandhu Mishra, Hyejin Shim +1
We propose a novel approach for spoofed speech characterization through explainable probabilistic attribute embeddings. In contrast to high-dimensional raw embeddings extracted fro…