The need for automated speech recognition has expanded as a result of significant industrial expansion variety automation and human-machine interface applications. impairment brought on by communication disorders, neurogenic or psychological disorders limits the performance different artificial intelligence-based systems. dysarthric condition is disease that restricts capacity human voice to ar...

A significant fraction of communications between air traffic controllers and pilots is through speech, via radio channels. Automatic transcription control (ATC) has the potential to improve system safety, operational performance, conformance monitoring, enhance controller training. We present an automatic speech recognition model tailored ATC domain that can transcribe voice text. The transcrib...

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 this by performing a Systematic Literature Review (SLR) give insight into the ASR studies proposed, especially for Arabic language. The purpose is highlight trends about and guide researchers with most significant publishe...

This paper overviews recent progress in the development of corpus-based spontaneous speech recognition technology focusing on various achievements of a Japanese 5-year national project “Spontaneous Speech: Corpus and Processing Technology”. Although speech is in almost any situation spontaneous, recognition of spontaneous speech is an area which has only recently emerged in the field of automat...

Automatic speech recognition (ASR) is the process which a computer interprets human speech into some kind of meaningful representation. Usually, the task for the automatic speech recognition is to identify the correct wordsequence. Speech recognizer is used in different applications for example simple command-control programs, transcription and speech understanding. A good automatic speech reco...