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 article introduces a supervised strategy designed to enhance spoken word recognition
within the constraints of a resource-limited multilingual dataset, specifically focusing on the …

The Arabic Dialect (AD) detection method involves analyzing the matching sound wave for
various characteristics that identify the speaker's dialect. Among these features are accent …

Detecting variations in dialects within a language can be challenging, particularly in regions
with rich linguistic diversity like Saudi Arabia. To our knowledge, no prior attempts have …

The dialects of a language hold a significant place in speech processing (SP) applications.
The objective of dialect identification is to categorize speech sample data into a specific …

Nowadays, Artificial intelligence (AI) is emerged strongly. AI applications are the future of
computing, with numerous services and solutions. Machine learning (ML) and deep learning …

With several deep learning approaches, the domain of automatic speech recognition (ASR)
has seen notable advancements in recent times. The domains of intelligent human …

The field of Applied Linguistics, which deals with language and its practical uses, connects
with technology in interesting methods, especially in the advancement of text-to-speech …