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

Enhancement Quality and Accuracy of Speech Recognition System Using Multimodal Audio-Visual Speech signal

Classification of Stuttering Events Using I-Vector

Speech Recognition Using Historian Multimodal Approach

Automatic Speech Segmentation Using Hybrid Wavelet Features and HMM

Novel Image PreprocessingApproach for Automatic Speech Recognition

Arabic Automatic Speech Recognition Based on Emotion Detection

COMPUTATIONAL INTELLIGENT ALGORITHMS FOR ARABIC SPEECH RECOGNITION

Automatic Dialect identification of Spoken Arabic Speech using Deep Neural Networks

Comparative Study of different types of RNN in Speech Classification