News-Medical.Net

AI model identifies where snoring starts in the airway

A new study developed a snore-source classification model that uses STFT spectrograms, pretrained CNN features, and an L2-regularized SVM to identify where snoring originates in the upper airway.
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 ...
Frontiers

Multi-branch deep learning neural network prediction model for the development of angular biosensors based on sEMG

Human gait motion intention recognition is very important for the lower extremity exoskeleton robot to accurately synchronize and respond to the user’s natural motion. And motion intention recognition ...
Frontiers

Study on characteristic of epileptic multi-electroencephalograph base on Hilbert-Huang transform and brain network dynamics

Lots of studies have been carried out on characteristic of epileptic Electroencephalograph (EEG). However, traditional EEG characteristic research methods lack exploration of spatial information. To ...
Europe PMC

[An electroencephalogram-based study of resting-state spectrogram and attention in tinnitus patients].

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