User profiles for Yousef A. AlOtaibi
Yousef AM AlotaibiProfessor of Computer Engineering, King Saud University Verified email at ksu.edu.sa Cited by 1430 |
[PDF][PDF] Sign language recognition for Arabic alphabets using transfer learning technique
M Zakariah, YA Alotaibi, D Koundal… - Computational …, 2022 - downloads.hindawi.com
Sign language is essential for deaf and mute people to communicate with normal people
and themselves. As ordinary people tend to ignore the importance of sign language, which is …
and themselves. As ordinary people tend to ignore the importance of sign language, which is …
Dementia detection from speech using machine learning and deep learning architectures
Dementia affects the patient’s memory and leads to language impairment. Research has
demonstrated that speech and language deterioration is often a clear indication of dementia …
demonstrated that speech and language deterioration is often a clear indication of dementia …
Automatic speech recognition for Bangla digits
G Muhammad, YA Alotaibi… - 2009 12th international …, 2009 - ieeexplore.ieee.org
In this paper, we introduce a system for Bangla digit automatic speech recognition (ASR).
Though Bangla is one of the largely spoken languages in the world, only a few works on …
Though Bangla is one of the largely spoken languages in the world, only a few works on …
Digital audio forensics: microphone and environment classification using deep learning
The recording device along with the acoustic environment plays a major role in digital audio
forensics. We propose an acoustic source identification system in this paper, which includes …
forensics. We propose an acoustic source identification system in this paper, which includes …
Comparative analysis of Arabic vowels using formants and an automatic speech recognition system
YA Alotaibi, A Hussain - International Journal of Signal …, 2010 - dspace.stir.ac.uk
Arabic, the world's second most spoken language in terms of number of speakers, has not
received much attention from the traditional speech processing research community. This …
received much attention from the traditional speech processing research community. This …
[HTML][HTML] An analytical study of speech pathology detection based on MFCC and deep neural networks
M Zakariah, B Reshma, YA Alotaibi, Y Guo… - … Methods in Medicine, 2022 - ncbi.nlm.nih.gov
Diseases of internal organs other than the vocal folds can also affect a person's voice. As a
result, voice problems are on the rise, even though they are frequently overlooked. According …
result, voice problems are on the rise, even though they are frequently overlooked. According …
Spoken language identification system using convolutional recurrent neural network
Following recent advancements in deep learning and artificial intelligence, spoken language
identification applications are playing an increasingly significant role in our day-to-day lives…
identification applications are playing an increasingly significant role in our day-to-day lives…
Investigating spoken Arabic digits in speech recognition setting
YA Alotaibi - Information Sciences, 2005 - Elsevier
Arabic language is a Semitic language that has many differences when compared to European
languages such as English. One of these differences is how to pronounce the 10 digits, …
languages such as English. One of these differences is how to pronounce the 10 digits, …
[PDF][PDF] Robust Magnification Independent Colon Biopsy Grading System over Multiple Data Sources.
…, S Hameed, M Zakariah, YA Alotaibi - … Materials & Continua, 2021 - cdn.techscience.cn
Automated grading of colon biopsy images across all magnifications is challenging because
of tailored segmentation and dependent features on each magnification. This work presents …
of tailored segmentation and dependent features on each magnification. This work presents …
Unipolar and bipolar depression detection and classification based on actigraphic registration of motor activity using machine learning and uniform manifold …
M Zakariah, YA Alotaibi - Diagnostics, 2023 - mdpi.com
Modern technology frequently uses wearable sensors to monitor many aspects of human
behavior. Since continuous records of heart rate and activity levels are typically gathered, the …
behavior. Since continuous records of heart rate and activity levels are typically gathered, the …