Speech technology is not appropriately explored even though modern advances in speech
technology—especially those driven by deep learning (DL) technology—offer …

Research on speech processing has traditionally considered the task of designing hand-
engineered acoustic features (feature engineering) as a separate distinct problem from the …

Speech emotion recognition is a challenging task and heavily depends on hand-engineered
acoustic features, which are typically crafted to echo human perception of speech signals …

Cross-lingual speech emotion recognition is an important task for practical applications. The
performance of automatic speech emotion recognition systems degrades in cross-corpus …

Cross-lingual speech emotion recognition (SER) is a crucial task for many real-world
applications. The performance of SER systems is often degraded by the differences in the …

The Qur'an is a fourteen centuries old divine book in Arabic language that is read and
followed by almost two billion Muslims globally as their sacred religious text. With the rise of …

Despite recent advancements in speech emotion recognition (SER) models, state-of-the-art
deep learning (DL) approaches face the challenge of the limited availability of annotated …

This paper addresses the development of an Automatic Speech Recognition (ASR) system
for the Moroccan Dialect. Dialectal Arabic (DA) refers to the day-to-day vernaculars spoken …

Muslims. Reading the holy Quran is a special reading with rules. Reading the Holy Quran is
called recitation. One of the Muslim essential activities is reading or listening to the Holy …

Automatic speech recognition for Arabic has its unique challenges and there has been
relatively slow progress in this domain. Specifically, Classic Arabic has received even less …