We introduce the largest transcribed Arabic speech corpus, QASR, collected from the
broadcast domain. This multi-dialect speech dataset contains 2,000 hours of speech …

Automatic speech recognition or speech-to-text is a human–machine interaction task, and
although it is challenging, it is attracting several researchers and companies such as …

With the advent of globalization, there is an increasing demand for multilingual automatic
speech recognition (ASR), handling language and dialectal variation of spoken content …

A mispronunciation of Arabic short vowels can change the meaning of a complete sentence.
For this reason, both the students and teachers of Classical Arabic (CA) are required extra …

Code-switching in automatic speech recognition (ASR) is an important challenge due to
globalization. Recent research in multilingual ASR shows potential improvement over …

This paper presents a novel Dialectal Sound and Vowelization Recovery framework,
designed to recognize borrowed and dialectal sounds within phonologically diverse and …

This article argues that the digital sphere has maintained the offline hierarchal forms of
political, economic, and cultural powers, taking the Arab journalism sector as a topical case …

Deep neural networks are inherently opaque and challenging to interpret. Unlike hand-
crafted feature-based models, we struggle to comprehend the concepts learned and how …

The pervasiveness of intra-utterance code-switching (CS) in spoken content requires that
speech recognition (ASR) systems handle mixed language. Designing a CS-ASR system …

Responding to urgent calls to de-westernise Media and Journalism Studies and shed light
on local agencies, this book examines digital journalistic practices in the Arab region …