Doctoral Dissertation in Electrical Engineering Focuses on “Improvement of Speech Recognition Rate Supported by Lip Motion Biometric for a Noisy Environment”

The Department of Electrical Engineering has conferred a Ph.D. degree on Mohammed Ihsan Safi for his dissertation titled:
“Improvement of Speech Recognition Rate Supported by Lip Motion Biometric for a Noisy Environment.”

This research aims to enhance the accuracy of speech recognition and reduce processing time in noisy environments. It is particularly focused on improving applications involving mobile robots operating in noisy settings, such as factories and production line controls. Moreover, the outcomes of this research are applicable to smart devices, including smartphones and computers, as well as language-learning tools and speech therapy applications.

To address these challenges, the dissertation proposes a hybrid method that incorporates lip motion biometrics to improve speech recognition rates in noisy environments.

Committee Members

The dissertation was evaluated by a committee of experts comprising:

• Prof. Hanan Abdul Redha Akar – Chair
• Prof. Thamer Rasheed Saeed – Member
• Prof. Fadhel Sahib Hassan – Member
• Assoc. Prof. Atheer Alaa Sabri – Member
• Assoc. Prof. Ayman Dawood Salman – Member
• Assoc. Prof. Iyad Ibrahim Abbas – Member and Supervisor

The research contributes significantly to advancing technologies for robust speech recognition, particularly in challenging noisy environments, and holds promise for diverse practical applications.