IEEE

Speech Emotion Recognition Using LSTM Network: A Deep Learning Approach

Abstract: Over the last decade, Speech Emotion Recognition (SER) has emerged as an essential component in the advancement of speech-based technologies, including Human-Computer Interaction (HCI). SER ...
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

Deep Learning Meets Emotion: CNN and Attention Mechanisms for Real-Time Emotion Detection

Abstract: Facial emotion recognition plays a significant role in applications such as human-computer interaction, mental health monitoring, and security systems. Traditional methods, including Local ...
IEEE

Arabic Dialect Speech-Text Recognition Using Deep Learning

Abstract: This study explores the challenges of Arabic speech recognition, focusing on deep learning-based transcription models due to the language’s complexity, limited audio datasets, and regional ...
IEEE

Multitask Learning for Emotion and Gender Recognition in Arabic Speech Using CNN-LSTM Architectures

Abstract: This paper proposes a multitask learning framework for simultaneous emotion and gender recognition from Arabic speech. Leveraging a hybrid Convolutional Neural Network (CNN) and Long ...
Phys.org

Using geometry and physics to explain feature learning in deep neural networks

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...