GitHub

Making Acoustic Side-Channel Attacks on Noisy Keyboards Viable with LLM-Assisted Spectrograms "Typo" Correction

This repo is the implementation of a research project aimed at enhancing Acoustic Side-Channel Attacks (ASCAs) using a novel combination of Vision Transformers (VTs) and Large Language Models (LLMs).
IEEE

CleanMel: Mel-Spectrogram Enhancement for Improving Both Speech Quality and ASR

Abstract: In this work, we propose CleanMel, a single-channel Mel-spectrogram denoising and dereverberation network for improving both speech quality and automatic speech recognition (ASR) performance ...
IEEE

Deepfake Audio Detection Using Spectrogram-based Feature and Ensemble of Deep Learning Models

Abstract: In this paper, we propose a deep-learning-based system for the task of deepfake audio detection. This work is a part of the proposed toolchain for speech analysis in EUCINF (EUropean Cyber ...