It is becoming increasingly difficult to know who is working on what and how in
computational studies of Dialectal Arabic. This study comes to chart the field by conducting a …

Speech processing applications have become integral components across various domains
of modern life. The design and preparation of a reliable recognition system rely heavily on …

This paper presents a wide literature review of natural language processing for dialectical
Arabic. Four main research areas were identified and the dialect coverage in research work …

In parallel with the development of technology, various control methods are also developed.
Voice control system is one of these control methods. In this study, an effective modelling …

Arabic dialects arewidely used from many years ago instead of Modern Standard Arabic
language in many fields. The presence of dialects in any language is a big challenge …

This paper presents the Algerian Arabic Speech Database (ALGASD), a Modern Standard
Arabic (MSA) speech corpus composed of utterances pronounced by 300 Algerian native …

The Algerian linguistic situation is very intricate due to the ethnic, geographical and colonial
occupation influences which have lead to a complex sociolinguistic environment. As a result …

The success of machine learning for automatic speech processing has raised the need for
large scale datasets. However, collecting such data is often a challenging task as it implies …

With the advancement and increased usage of intelligible smart devices, researchers have
an intensified interest in the field of large-vocabulary speaker-independent continuous …

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 …