Automatic Speech Recognition (ASR), also known as Speech-To-Text (STT) or computer
speech recognition, has been an active field of research recently. This study aims to chart …

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 …

End-to-end deep learning approach has greatly enhanced the performance of speech
recognition systems. With deep learning techniques, the overfitting stills the main problem …

With the advancement and increased usage of intelligible smart devices, researchers have
an intensified interest in the field of large-vocabulary speaker-independent continuous …

Automatic speech recognition (ASR) aims to convert human speech signal into text, where
the quality of the speech signal is essential to assure correct recognition. However, some …

It is well-known that the Arabic language poses non-trivial issues for Automatic Speech
Recognition (ASR) systems. This paper is concerned with the problems posed by the …

This paper provides a structured examination of Arabic Automatic Speech Recognition
(ASR), focusing on the complexity posed by the language's diverse forms and dialectal …

Abstract Automatic Speech Recognition (ASR) has standard rules which must be followed
and considered carefully. Some difficulties that lead to less ASR performance is variations in …

Speech recognition poses some interesting challenges such as varying acoustic conditions,
dialects, and articulation at word's boundaries. Large vocabulary speaker-independent …

Digital speech processing applications including automatic speech recognition (ASR),
speaker recognition, speech translation, and others, essentially require large volumes of …