Tootfinder

Device Feature based on Graph Fourier Transformation with Logarithmic Processing For Detection of Replay Speech Attacks
Mingrui He, Longting Xu, Han Wang, Mingjun Zhang, Rohan Kumar Das
https://arxiv.org/abs/2404.17280

Device Feature based on Graph Fourier Transformation with Logarithmic Processing For Detection of Replay Speech Attacks
The most common spoofing attacks on automatic speaker verification systems are replay speech attacks. Detection of replay speech heavily relies on replay configuration information. Previous studies have shown that graph Fourier transform-derived features can effectively detect replay speech but ignore device and environmental noise effects. In this work, we propose a new feature, the graph frequency device cepstral coefficient, derived from the graph frequency domain using a device-related line…