WST-X Series: Wavelet Scattering Transform for Interpretable Speech Deepfake Detection
How much verified proof exists for this claim
One strong evidence source: arxiv
How intriguing or unexplained this claim is
The claim involves a technical innovation in deepfake detection with some emerging narrative and minor uncertainties about its effectiveness and interpretability, but it is grounded in a well-documented field with clear objectives.
Designing front-ends for speech deepfake detectors primarily focuses on two categories. Hand-crafted filterbank features are transparent but are limited in capturing high-level semantic details, often resulting in performance gaps compared to self-supervised (SSL) features. SSL features, in turn, lack interpretability and may overlook fine-grained spectral anomalies. We propose the WST-X series, a novel family of feature extractors that combines the best of both worlds via the wavelet scatter...