Compression Robust Synthetic Speech Detection Using Patched Spectrogram Transformer

arXiv:2402.14205v1 Announce Type: cross
Abstract: 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 spread. For this reason forensic methods that can detect synthetic speech have been proposed. Existing methods often overfit on one dataset and their performance reduces substantially in practical scenarios such as detecting synthetic speech shared on social platforms. In this paper we propose, Patched Spectrogram Synthetic Speech Detection Transformer (PS3DT), …

abstract arxiv compression cs.cv cs.lg cs.sd dataset deep learning detection eess.as eess.sp financial financial fraud fraud impersonation misinformation people reason robust spectrogram speech speech generation synthetic synthetic speech tools transformer type