Tomi H. Kinnunen

An Explainable Probabilistic Attribute Embedding Approach for Spoofed Speech Characterization

We propose a novel approach for spoofed speech characterization through explainable probabilistic attribute embeddings. In contrast to high-dimensional raw embeddings extracted from a spoofing countermeasure (CM) whose dimensions are not easy to interpret, the probabilistic attributes are designed t…