7 citations · 11 across the 11 of their papers we have counts for
5 papers · 1 filter
NER- RoBERTa: Fine-Tuning RoBERTa for Named Entity Recognition (NER) within low-resource languages
Abdulhady Abas Abdullah, Srwa Hasan Abdulla, Dalia Mohammad Toufiq +8
Nowadays, Natural Language Processing (NLP) is an important tool for most people's daily life routines, ranging from understanding speech, translation, named entity recognition (NE…
End-to-End Transformer-based Automatic Speech Recognition for Northern Kurdish: A Pioneering Approach
Abdulhady Abas Abdullah, Shima Tabibian, Hadi Veisi +2
Automatic Speech Recognition (ASR) for low-resource languages remains a challenging task due to limited training data. This paper introduces a comprehensive study exploring the eff…
Enhancing Kurdish Text-to-Speech with Native Corpus Training: A High-Quality WaveGlow Vocoder Approach
Abdulhady Abas Abdullah, Sabat Salih Muhamad, Hadi Veisi
The ability to synthesize spoken language from text has greatly facilitated access to digital content with the advances in text-to-speech technology. However, effective TTS develop…
Advanced Clustering Techniques for Speech Signal Enhancement: A Review and Metanalysis of Fuzzy C-Means, K-Means, and Kernel Fuzzy C-Means Methods
Abdulhady Abas Abdullah, Aram Mahmood Ahmed, Tarik Rashid +1
Speech signal processing is a cornerstone of modern communication technologies, tasked with improving the clarity and comprehensibility of audio data in noisy environments. The pri…
Breaking Walls: Pioneering Automatic Speech Recognition for Central Kurdish: End-to-End Transformer Paradigm
Abdulhady Abas Abdullah, Hadi Veisi, Tarik Rashid
End-to-end transformer-based models epitomize the cutting-edge in Automatic Speech Recognition (ASR) systems. Despite their substantial benefits, these models demand extensive trai…