Hearing Aid

Hearing aids aim to improve speech intelligibility and listening comfort for individuals with hearing loss, focusing on enhancing speech in noisy environments and personalizing the listening experience. Current research emphasizes the development of sophisticated signal processing algorithms, often employing deep learning models like convolutional neural networks and encoder-decoder architectures, to achieve this, incorporating user preferences and environmental context. These advancements, including the use of multimodal data (audio and visual) and novel loss functions, aim to create more effective and personalized hearing aid technology, ultimately improving the quality of life for hearing-impaired individuals.

Papers