Attoui Hamza
Papers
2
Total Citations
6
H-Index
2
About
Dr. Attoui Hamza is a researcher specializing in speech recognition, human-robot interaction, and intelligent control systems. His work focuses on integrating robust signal processing and machine learning techniques to enable voice-controlled robotic manipulation, particularly for Arabic language applications. His major contributions include the development of a Hidden Markov Model (HMM)-based spotted words recognition system for controlling a didactic manipulator, as detailed in his 2008 paper (4 citations). He further advanced this work by incorporating a Kalman filter for noise-robust speech recognition in real-time control of a five-degree-of-freedom robotic arm, as described in his 2009 publication (2 citations). These studies demonstrate his pioneering efforts in creating wireless voice command systems that bridge automatic speech recognition and robotic control, addressing challenges in noisy environments. While his citation counts reflect the specialized nature of his early work, his research lays foundational groundwork for accessible, Arabic-language human-robot interfaces. Dr. Hamza's achievements highlight a focused commitment to practical, real-time control systems, making his contributions valuable for students and researchers interested in speech-driven automation and assistive robotics.
Research Focus
Key Achievements
Top Papers
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- 2