Zobrazeno 1 - 10
of 11 611
pro vyhledávání: '"A A, Abas"'
Autor:
Abdullah, Abdulhady Abas, Abdulla, Srwa Hasan, Toufiq, Dalia Mohammad, Maghdid, Halgurd S., Rashid, Tarik A., Farho, Pakshan F., Sabr, Shadan Sh., Taher, Akar H., Hamad, Darya S., Veisi, Hadi, Asaad, Aras T.
Nowadays, Natural Language Processing (NLP) is an important tool for most people's daily life routines, ranging from understanding speech, translation, named entity recognition (NER), and text categorization, to generative text models such as ChatGPT
Externí odkaz:
http://arxiv.org/abs/2412.15252
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 effectiveness of Whisper, a pre-trained ASR model, for Northern Kurdish (
Externí odkaz:
http://arxiv.org/abs/2410.16330
Autor:
Abdullah, Abdulhady Abas, Ahmed, Aram Mahmood, Rashid, Tarik, Veisi, Hadi, Rassul, Yassin Hussein, Hassan, Bryar, Fattah, Polla, Ali, Sabat Abdulhameed, Shamsaldin, Ahmed S.
Speech signal processing is a cornerstone of modern communication technologies, tasked with improving the clarity and comprehensibility of audio data in noisy environments. The primary challenge in this field is the effective separation and recogniti
Externí odkaz:
http://arxiv.org/abs/2409.19448
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 development for low-resource languages, such as Central Kurdish (CKB), still
Externí odkaz:
http://arxiv.org/abs/2409.13734
Analyzing large datasets to select optimal features is one of the most important research areas in machine learning and data mining. This feature selection procedure involves dimensionality reduction which is crucial in enhancing the performance of t
Externí odkaz:
http://arxiv.org/abs/2409.14563
End-to-end transformer-based models epitomize the cutting-edge in Automatic Speech Recognition (ASR) systems. Despite their substantial benefits, these models demand extensive training data to perform optimally, presenting a significant challenge for
Externí odkaz:
http://arxiv.org/abs/2406.02561
Autor:
Ahmad, W. S. H. M. W., Fauzi, M. F. A., Abdullahi, M. K., Lee, Jenny T. H., Basry, N. S. A., Yahaya, A, Ismail, A. M., Adam, A., Chan, Elaine W. L., Abas, F. S.
Nasopharyngeal carcinoma (NPC) is one of the understudied yet deadliest cancers in South East Asia. In Malaysia, the prevalence is identified mainly in Sarawak, among the ethnic of Bidayuh. NPC is often late-diagnosed because it is asymptomatic at th
Externí odkaz:
http://arxiv.org/abs/2404.03188
Internet of Things (IoT) is one of the technological advancements of the twenty-first century which can improve living standards. However, it also imposes new types of security challenges, including device authentication, traffic types classification
Externí odkaz:
http://arxiv.org/abs/2402.16173
Publikováno v:
European Journal of Marketing, 2024, Vol. 58, Issue 12, pp. 2705-2731.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EJM-01-2023-0026
Autor:
Ibrahim Ali, Audu, Abdul Hamid, Mohd Kameil, Azman Bin Abas, Mohd, Muhamad Said, Mohd Farid, Opia, Anthony Chukwunonso, Izmi Bin Mazali, Izhari, Hilmi Bin Che Daud, Zul
Publikováno v:
Industrial Lubrication and Tribology, 2024, Vol. 76, Issue 7/8, pp. 874-883.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ILT-07-2023-0232