6 papers
An Intervention-Based Framework for Shortcut Diagnosis in Spoofing Countermeasures
Santiago Rubio, Pilar Bello, Dayana Ribas +3
While deepfake audio detection systems achieve high performance in controlled benchmarks, their reliability often diminishes in the wild. Prior work shows that dataset-specific art…
Open-Set Source Tracing as Compositional Factors via Structured Prototypes
Santiago Rubio, Antonio Almudévar, Antonio Miguel +2
Recent research expands beyond binary anti-spoofing with the emergence of Source Tracing, the task of identifying the specific generative origins of synthetic speech. However, curr…
A Fair and Transparent Framework for Speech-Based Depression Detection: Balancing Interpretability and Performance
Mariel Estevez, Alfonso Ortega, Antonio Miguel +1
While speech provides rich, non-invasive biomarkers for mental-health assessment, clinical adoption is limited by opaque models and potential demographic bias. In this work we prop…
Rethinking Disentanglement under Dependent Factors of Variation
Antonio Almudévar, Alfonso Ortega
Representation learning is an approach that allows to discover and extract the factors of variation from the data. Intuitively, a representation is said to be disentangled if it se…
Audio-Visual Speaker Diarization: Current Databases, Approaches and Challenges
Victoria Mingote, Alfonso Ortega, Antonio Miguel +1
Nowadays, the large amount of audio-visual content available has fostered the need to develop new robust automatic speaker diarization systems to analyse and characterise it. This…
Predefined Prototypes for Intra-Class Separation and Disentanglement
Antonio Almudévar, Théo Mariotte, Alfonso Ortega +4
Prototypical Learning is based on the idea that there is a point (which we call prototype) around which the embeddings of a class are clustered. It has shown promising results in s…