Text preprocessing plays an important role in natural language processing (NLP) tasks
containing text classification, sentiment analysis, and machine translation. The …

End-to-end systems for automatic recognition of Arabic speech have gained significant
importance in the last few years. Arabic is considered as one of the low resource languages …

Abstract Recent breakthroughs in Natural Language Processing have significantly
enhanced the presence of Automatic Speech Recognition (ASR) systems in daily life. The …

Limited data availability remains a significant challenge for Whisper's low-resource speech
recognition performance, falling short of practical application requirements. While previous …

This dissertation aims to document the linguistic features of Arabic that pose challenges to
speech and language technologies and advance these technologies by develo** state-of …

This study investigates means of enhancing the accuracy of Automated Speech Recognition
(ASR) systems for the Bahraini dialect, a variant that has received minimal attention in …

The IWSLT low-resource track encourages innovation in the field of speech translation,
particularly in data-scarce conditions. This paper details our submission for the IWSLT 2024 …

Abstract Automatic Speech Recognition (ASR) systems for morphologically complex
languages like Urdu, Persian, and Arabic face unique challenges due to the intricacies of …