A Comparative Study of Machine Learning and Deep Learning Algorithms for Speech Emotion Recognition

CONVOLUTIONAL NEURAL NETWORK FOR ARABIC SPEECH RECOGNITION

Noise-Robust Speech Recognition System based on Multimodal Audio-Visual Approach Using Different Deep Learning Classification Techniques

Quality Evaluation of Reverberant Speech Based on Deep Learning

Automatic Dialect identification of Spoken Arabic Speech using Deep Neural Networks

COMPUTATIONAL INTELLIGENT ALGORITHMS FOR ARABIC SPEECH RECOGNITION

Arabic Language Sentiment Analysis using Bidirectional Long Short Term Memory

Speech Recognition Using Historian Multimodal Approach

Long Short-Term Memory and Gated Recurrent Unit for Automated Deep Learning Prediction

Data Augmentation for Arabic Speech Recognition Based on End-to-End Deep Learning