Deep learning (DL), as one of the most active machine learning research fields, has
achieved great success in numerous scientific and technological disciplines, including …

Speech recognition is a natural language processing task that involves the computerized
transcription of spoken language in real time. Numerous studies have been conducted on …

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 …

Speech Recognition (SR) is a challenging task because existing models expect their users
from different geographies to have the same level of proficiency, which is unrealistic …

Abstract Arabic Named Entity Recognition (ANER) is a crucial task in natural language
processing that aims to identify and classify named entities in text into predefined categories …

Speech recognition is a captivating process that revolutionizes human-computer
interactions, allowing us to interact and control machines through spoken commands. The …

Speaker recognition is a broad field that encompasses many different tasks related to
identifying speakers in audio recordings. Two specific sub-tasks that are often studied are …

In this paper, a combination of the conditional generative adversarial network (DE-GAN) with
the convolutional neural network (CNN) and long short time memory (LSTM) is proposed in …

Brand hate is a complex feeling that is not easy for companies to recognize. Mednini and
Turki (2022) have confirmed that the hate can originate from genuine brand haters or an …

Teeth caries or lesions have a huge impact on people health. Hence, the early diagnosis of
these diseases plays an important role of the healthcare provided by medical professionals …