Significant research has been conducted during the last decade on the application of
machine learning for speech processing, particularly speech recognition. However, in recent …

People are preoccupied with their own duties in today's environment, making it tough to
oversee and care for disabled people. Paralyzed and disabled people, on the other hand …

This study proposes an innovative methodology to enhance the performance of multilingual
Automatic Speech Recognition (ASR) systems by capitalizing on the high semantic similarity …

Code-switching is a common form of communication in every bilingual or multilingual
culture. It has become common in an ethnically diverse country like India, where multiple …

This paper examines the errors that the automatic speech recognition (ASR) system of Veed.
io produces when transcribing utterances spoken in Jordanian Arabic into subtitles. It …

Recently, large pre-trained multilingual speech models have shown potential in scaling
Automatic Speech Recognition (ASR) to many low-resource languages. Some of these …

The purpose of this research is to achieve the following objectives: 1) Synthesize documents
and international research on the characteristics of a smart university. 2) Synthesize the …

Natural Language Processing (NLP) is one of the fundamental domains of Artificial
Intelligence (AI). In this paper, we present a systematic review of NLP based research for …

Pattern analysis for converting a complete mixed code into a single language after
determining confidence levels is a systematic approach crucial for applications requiring …

In the present era, text generated by users is becoming increasingly popular on the Internet.
People rely on search engines for their information. The transliterated text is one of the major …