This paper reports our exploration of texture descriptors applied to the analysis of speech spectrogram images.

Specifically, Automatic Speaker Verifica- tion (ASV) systems have shown a verification performance deterioration when different Presentation Attack Instruments.

The ResNet model is employed in combination with image-like speech spectrograms (e.g., Mel spectrogram) for the detection of voice APs [4], [5].

This paper reports the exploration of texture descriptors applied to the analysis of speech spectrogram images and proposes a common fisher vector feature ...

Texture-based Presentation Attack Detection for Automatic Speaker Verification. L. J. Gonzalez-Soler, J. Patino, M. Gomez-Barrero, M. Todisco, C. Busch, ...

Bibliographic details on Texture-based Presentation Attack Detection for Automatic Speaker Verification.

A survey on presentation attack detection for automatic speaker verification systems: State-of-the-art, taxonomy, issues and future direction · Abstract.

Title: Texture-based Presentation Attack Detection for Automatic Speaker Verification. Authors: Lazaro J. Gonzalez-Soler, Jose Patino, Marta Gomez-Barrero ...

Presentation Attack Detection refers to the process of identifying and preventing fraudulent attempts to deceive Face Recognition systems by using fake face ...

This paper introduces SpoofCeleb, a dataset designed for Speech Deepfake Detection (SDD) and Spoofing-robust Automatic Speaker Verification (SASV), utilizing ...