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i-HEAR PROJECT

This project aims to develop an AI-powered hearing aid system designed to enhance speech comprehension in noisy environments for individuals with hearing loss. By employing machine learning algorithms, the system will effectively suppress background noise while amplifying speech signals, enabling clearer communication. Through extensive data collection and deep learning techniques, the system will be trained to generalize across various real-world acoustic situations for optimal performance.

This theme will also create a cutting-edge artificial intelligence (AI) hearing aid system that is especially designed to improve speech understanding in noisy settings for people who have hearing loss. The project aims to use machine learning algorithms to accurately identify and suppress noise while preserving and amplifying speech signals, thereby enabling clearer and more understandable communication for users in difficult acoustic environments. This will be achieved by leveraging advances in deep learning techniques. Complex machine learning models, such as classification algorithms, which have been trained on a range of datasets with different speech and noise characteristics. To enable these models to generalize well across various contexts and noise situations, a rich dataset that captures the intricacy of real-world auditory sceneries through substantial data collection and annotation activities will be built.

PROJECT TEAM

dr mrs rosemary gyenning

Dr. (Mrs.) Rose-Mary Owusuaa Mensah Gyening

Lecturer, Department of Computer Science, Kwame Nkrumah University of Science and Technology (KNUST) in Ghana
frederica efia birago owusu

Frederica Efia Birago Owusu

Research Assistant
maxwell mawube ahiamadzor

Maxwell Mawube Ahiamadzor

Research Assistant
juliet

Juliet Arthur

dawson

Tetteh Dawson Prince

RESEARCH INTERN