Automatic Speech Recognition (ASR), also known as Speech-To-Text (STT) or computer
speech recognition, has been an active field of research recently. This study aims to chart …

The recent advances in deep learning (DL) have caused breakthroughs in many fields such
as computer vision, natural language processing (NLP) and speech processing. Many DL …

Automatic speech recognition is the area of research concerning the enablement of
machines to accept vocal input from humans and interpreting it with the highest probability of …

Arabic automatic speech recognition (ASR) methods with diacritics have the ability to be
integrated with other systems better than Arabic ASR methods without diacritics. In this work …

This paper describes the Arabic Multi-Genre Broadcast (MGB-2) Challenge for SLT-2016.
Unlike last year's English MGB Challenge, which focused on recognition of diverse TV …

Automatic speech recognition (ASR) is a crucial field of science due to its massive
applications that can be developed to help humans to improve their daily life tasks. Despite …

End-to-end deep learning approach has greatly enhanced the performance of speech
recognition systems. With deep learning techniques, the overfitting stills the main problem …

Arabic language has a set of sound letters called diacritics, these diacritics play an essential
role in the meaning of words and their articulations. The change in some diacritics leads to a …

This paper describes an Arabic Automatic Speech Recognition system developed on 15
hours of Multi-Genre Broadcast (MGB-3) data from YouTube, plus 1,200 hours of Multi …

This paper presents the design and development of multi-dialect automatic speech
recognition for Arabic. Deep neural networks are becoming an effective tool to solve …