most citedCompression Robust Synthetic Speech Detection Using Patched Spectrogram Transformer

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

HISPASpoof: A New Dataset For Spanish Speech Forensics

Maria Risques, Kratika Bhagtani, Amit Kumar Singh Yadav +1

Zero-shot Voice Cloning (VC) and Text-to-Speech (TTS) methods have advanced rapidly, enabling the generation of highly realistic synthetic speech and raising serious concerns about…

cs.SD2024★ 1 cited

Comparative Analysis of ASR Methods for Speech Deepfake Detection

Davide Salvi, Amit Kumar Singh Yadav, Kratika Bhagtani +3

Recent techniques for speech deepfake detection often rely on pre-trained self-supervised models. These systems, initially developed for Automatic Speech Recognition (ASR), have pr…

cs.CV2024

Explainable Artifacts for Synthetic Western Blot Source Attribution

João Phillipe Cardenuto, Sara Mandelli, Daniel Moreira +3

Recent advancements in artificial intelligence have enabled generative models to produce synthetic scientific images that are indistinguishable from pristine ones, posing a challen…

eess.AS2024

DiffSSD: A Diffusion-Based Dataset For Speech Forensics

Kratika Bhagtani, Amit Kumar Singh Yadav, Paolo Bestagini +1

Diffusion-based speech generators are ubiquitous. These methods can generate very high quality synthetic speech and several recent incidents report their malicious use. To counter…

cs.SD2024★ 2 cited

Compression Robust Synthetic Speech Detection Using Patched Spectrogram Transformer

Amit Kumar Singh Yadav, Ziyue Xiang, Kratika Bhagtani +3

Many deep learning synthetic speech generation tools are readily available. The use of synthetic speech has caused financial fraud, impersonation of people, and misinformation to s…