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Advancements in Speech Processing for Human-Computer Interaction

Abeer Saber Tamer Z. Emara Mohammad Sultan Mahmud Muhammad Azhar

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English
Engineering Science Reference
22 October 2025

Advancements in Speech Processing for Human-Computer Interaction by Abeer Saber

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Edited by:   , , , ,
Imprint:   Engineering Science Reference
Country of Publication:   United States
Dimensions:   Height: 254mm,  Width: 178mm, 
ISBN:   9798337330495
Pages:   400
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Primary ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

Abeer Saber was born in Damietta, Dumyat, Egypt, in 1992. She received the B.Sc. Degree in Computer Science and the M.Sc. Degree in Computer Science from Mansoura University, Egypt, in 2013 and 2018, respectively. She is received the Ph.D. in computer science from Menoufia University, Egypt, in 2022. She is currently a Lecturer in information technology with the Faculty of Computers and Artificial intelligence, Damietta University, Egypt. She has published many research articles in prestigious international conferences and reputable journals. She is also a reviewer for many journals. Her current research interests include big data analysis, semantic web, linked open data, Optimization, machine learning, Deep learning, bioinformatics, and IoT. Mohammad Sultan Mahmud (Senior Member, IEEE) received the Ph.D. degree from Shenzhen University, China, in 2023, and the master’s degree from King Mongkut’s University of Technology North Bangkok, Thailand, in 2014. Currently, Dr. Mahmud is a Research Fellow with the College of Computer Science and Software Engineering, Shenzhen University, China. He is one of the pioneers in the distributed clustering ensemble of big data research. Dr. Mahmud has published research articles in esteemed journals such as Information Fusion, IEEE Transactions on Big Data, Big Data Mining and Analytics, and the Journal of Big Data. He has organized a special issue on “Mixture of Experts (MoE) and Ensemble Learning for Big Data” in Information Fusion (Elsevier). His current research focuses on big data mining, distributed and parallel computing, ensemble learning, and mixture of experts. Dr. Muhammad Azhar is the Associate Head of Department and Director of BSc-ADS programme of Applied Data Science and Assistant Professor at Hong Kong Shue Yan University, SAR, China. He is also the Director of Big Data Laboratory of HKSYU. Before joining HKSYU as an Assistant Professor in 2023, Dr. Azhar has over 11 years of experience in teaching and research in different universities and research institutes in South Korea, Mainland China and Pakistan. In addition to this, he worked in different software companies of Pakistan (Sofnix Private Limited and Turnotech Private Limited) and U.K. (Welltime Ltd.). He received his B.S. degree in Computer Science from National University of Computer and Emerging Sciences, Islamabad, Pakistan, master’s degree in computer science from Sejong University, Seoul, South Korea, and the Ph.D. degree in Machine Learning and Data Mining from Shenzhen University, Shenzhen, China. He worked as a Research Professor at Chosun University, South Korea. His research interests include Data Mining, Natural Language Processing and Computer Vision through conventional machine learning and advanced deep learning techniques. Esraa Hassan was born in Kafrelsheikh, Kafrelsheikh, Egypt, in 1992. She received a B.Sc. Degree in Computer Science and a M.Sc. Degree in Computer Science from Mansoura University, Egypt, in 2013 and 2018, respectively. She received her Ph.D. in computer science from Mansoura University, Egypt, in 2022. She is currently a lecturer at the Faculty of Artificial Intelligence, Kafrelsheikh University, Egypt. She has published many research articles in prestigious international conferences and reputable journals. She is also a reviewer for many journals. Her research interests include machine learning, deep learning, optimization, and bioinformatics.

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