Automatic speech recognition (ASR) is one of the ways used to transform acoustic speech
signals into text. Over the last few decades, an enormous amount of research work has been …

Recent advancements in deep learning (DL) have posed a significant challenge for
automatic speech recognition (ASR). ASR relies on extensive training datasets, including …

Communication has been an important aspect of human life, civilization, and globalization
for thousands of years. Biometric analysis, education, security, healthcare, and smart cities …

ABSTRACT Automatic Speech Recognition (ASR) is an active field of research due to its
large number of applications and the proliferation of interfaces or computing devices that …

Sign languages are critical in conveying meaning by the use of a visual-manual modality
and are the primary means of communication of the deaf and hard of hearing with their …

The continuous development in Automatic Speech Recognition has grown and
demonstrated its enormous potential in Human Interaction Communication systems. It is …

Code-switching (CS) in spoken language is where the speech has two or more languages
within an utterance. It is an unsolved issue in automatic speech recognition (ASR) research …

Although the Arabic language is the fourth most popular language in the world, it has not
received sufficient attention in artificial intelligence research, especially in automatic speech …

At present, the mental health problems of college students are becoming more and more
prominent, but the existing mental health detection methods have certain limitations …

Deep learning techniques have been shown to be efficient in various tasks, especially in the
development of speech recognition systems, that is, systems that aim to transcribe an audio …