IEEE

Speech Emotion Recognition using Branched-based Convolutional Neural Network Technique

Abstract: Speech Emotion Recognition is a significant pattern recognition of human speech using feature extraction for communication media. This paper aims to recognize speech emotion through the CNN ...
IEEE

Personalized Music Recommendations Through Speech Emotion Recognition Using Deep Learning

Abstract: The objective of this work is to present a music recommendation system that personalises the suggested songs by recognising emotions from speech. The system leverages emotion extraction from ...
IEEE

Emotion Recognition from EEG Signals Using a Hybrid Deep Learning Approach

Abstract: In recent years, the rise of advanced machine learning techniques has led to an increase in research on brain-computer interfaces. It’s considered a multifaceted challenge to develop ...
IEEE

Multi-Modal Emotion Recognition using Facial, Speech, and Unstructured Data for Personalized Music and Mental Health Monitoring

Abstract: Human feelings have a profound influence on mental health, productivity, and general behavior in day-to-day life. Music can be found to regulate mood and offer psychological comfort.
IEEE

A Deep Learning Approach for Fake News Detection using CNN

Abstract: Social media platforms provide an easy way to get the news, but their lack of thorough editing and verification of content allows fake news to spread at a very fast and alarming rate. Fake ...
IEEE

STRFLNet: Spatio-Temporal Representation Fusion Learning Network for EEG-Based Emotion Recognition

Abstract: Electroencephalography (EEG)-based emotion recognition is essential for medical assistance and human-computer interaction. Although deep learning-based emotion recognition methods have ...
Frontiers

Exploring physical and functional EEG connectivity with multilayer graph transformer convolutional networks for emotion recognition

1 School of Automation, Nanjing University of Science and Technology, Nanjing, Jiangsu, China 2 School of Engineering, University of Birmingham, Birmingham, United Kingdom Electroencephalogram ...
IEEE

Deep Learning Technique Using Hybrid Features for Speech Emotion Detection

Abstract: Speech Emotion Recognition (SER) is the application where the speech data is considered for processing, and the emotion of the person speaking is detected and identified. It helps in early ...
IEEE

An Adaptive Human–Robot Interaction Framework Using Real-Time Emotion Recognition and Context-Aware Task Planning

Abstract: Existing approaches often operate poorly in noisy or occluded conditions, rely on cloud-based inference subject to latency and privacy issues, and do not take emotional context into ...
IEEE

Real-Time Hand Gesture Recognition for LED Control using CNN and Arduino

Abstract: This paper introduces a Hand Gesture Recognition System using OpenCV and deep learning to improve the interactivity between human and computer. The system uses a video feed to recognize and ...
IEEE

EEG- and Micro-Expression-Based Emotion Recognition and Consciousness Detection

Abstract: In the field of Disorders of Consciousness (DoC), traditional diagnostic methods often struggle with high misdiagnosis rates and lack the sensitivity needed to discern subtle emotional ...