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).
Frontiers

Integration of PCG spectrogram texture and deep features for the diagnosis of heart failure with preserved ejection fraction using heterogeneous stacking ensemble learning

This study proposes a novel heterogeneous stacking ensemble learning model for the fusion of phonocardiogram (PCG) spectrogram texture and deep features to detect heart failure with preserved ejection ...
GitHub

replaces the need for a A python project for physical mouse and keyboard replacement by using computer vision to track hand gestures and local AI for voice dictation.

(this project essentially demonestrates the use of MediaPipe Hands (Google) and Faster-Whisper (Int8 Quantization), along with WebRTCVAD.) Runs silently in the System Tray with a "Headless" option (no ...
IEEE

Hybrid Transformer Architectures With Diverse Audio Features for Deepfake Speech Classification

Abstract: The rise of synthetic speech technologies has triggered growing concerns about the increasing difficulty in distinguishing between real and fake voices. In this context, we propose novel ...
IEEE

Real-Time Audio Spectrogram Inpainting

Abstract: In this study, we explore the use of Vector Quantized Variational Autoencoders (VQ-VAE) for real-time audio spectrogram inpainting, with a focus on minimizing environmental impact. We ...