IEEE

Simplified 2D CNN Architecture With Channel Selection for Emotion Recognition Using EEG Spectrogram

Abstract: Emotion Recognition through electroencephalography (EEG) is one of the prevailing emotion recognition techniques achieving higher accuracy rates. Nevertheless, one of the problems is the ...
IEEE

Multidiscriminator Sobolev Defense-GAN Against Adversarial Attacks for End-to-End Speech Systems

Abstract: This paper introduces a defense approach against end-to-end adversarial attacks developed for cutting-edge speech-to-text systems. The proposed defense algorithm has four steps. First, we ...
Hosted on MSN

Khalifa University launches radio-frequency AI language model 'RF-GPT'

ABU DHABI, 6th April, 2026 (WAM) -- Khalifa University of Science and Technology’s Digital Future Institute announced the launch of ‘RF-GPT’, a first-of-its-kind radio-frequency AI language model ...
GitHub

AudioFuse: Unified Spectral-Temporal Learning via a Hybrid ViT-1D CNN Architecture for Biomedical Audio Classification

Official TensorFlow/Keras implementation for the paper: "AudioFuse: Unified Spectral-Temporal Learning via a Hybrid ViT-1D CNN Architecture for Phonocardiogram Classification" Summary: The automatic ...
Scientific Research Publishing

Speech Emotion Recognition Based on CNN-Transformer with Different Loss Function ()

Speech Emotion Recognition (SER) is crucial for enhancing human-computer interactions by enabling machines to understand and respond appropriately to human emotions. However, accurately recognizing ...
GitHub

Speech-to-Intent-Micro

SLU offers a middle ground between Large-vocabulary continuous speech recognition (LVCSR) models (which are too heavy to be run on microcontrollers and other resource-constrained environments) and ...
Frontiers

A High Accuracy Electrographic Seizure Classifier Trained Using Semi-Supervised Labeling Applied to a Large Spectrogram Dataset

The objective of this study was to explore using ECoG spectrogram images for training reliable cross-patient electrographic seizure classifiers, and to characterize the classifiers’ test accuracy as a ...
electronicsforu

Understanding Spectrogram of Speech Signal Using MATLAB Program

This article explains spectrogram of the speech signal (analysis and processing) with MATLAB to get its frequency-domain representation. In real life, we come across many signals that are variations ...