IEEE

GAN-Based Radar Spectrogram Augmentation via Diversity Injection Strategy

Abstract: The classification of human activity using radar has gained considerable attention in recent years because of the radar sensor’s resistance to harsh settings. However, when using machine ...
GitHub

Apple Metal GPU processing toolbox for MATLAB on macOS.

Matlab runs extremely well on the new Apple Silicon Macs, but if you want the best possible performance from these new processors, the real number-crunching power is on their onboard GPU cores. This ...
GitHub

k-Wave: A MATLAB toolbox for the time-domain simulation of acoustic wave fields

k-Wave is an open source MATLAB toolbox designed for the time-domain simulation of propagating acoustic waves in 1D, 2D, or 3D [1]. The toolbox has a wide range of functionality, but at its heart is ...
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 ...
Microsoft

High-Fidelity Synthetic ECG Generation via Mel-Spectrogram Informed Diffusion Training

The development of machine learning for cardiac care is severely hampered by privacy restrictions on sharing real patient electrocardiogram (ECG) data. Although generative AI offers a promising ...
IEEE

DMEL: The Differentiable Log-Mel Spectrogram as a Trainable Layer in Neural Networks

Abstract: In this paper we present the differentiable log-Mel spectrogram (DMEL) for audio classification. DMEL uses a Gaussian window, with a window length that can be jointly optimized with the ...