Smartphone-based noise adaptive speech enhancement for hearing aid applications

Area of Science:

• Audiology
• Signal Processing
• Human-Computer Interaction

Background:

• Environmental noise negatively impacts hearing aid device performance.
• Effective speech enhancement is crucial for hearing aid users in noisy settings.
• Existing solutions may lack adaptability to diverse noise types.

Purpose of the Study:

• To introduce a noise-adaptive speech enhancement solution for hearing aids.
• To improve speech understanding performance in various noisy environments.
• To implement and clinically validate a smartphone-based application for hearing aid users.

Main Methods:

• Developed a noise-adaptive speech enhancement algorithm.
• Adjusted algorithm parameters based on three noise types: babble, machinery, and driving car.
• Implemented the solution as a smartphone app interfaced with hearing aids.
• Conducted a clinical testing protocol with participants having normal hearing and hearing impairments.

Main Results:

• Statistically significant improvements in speech understanding were observed.
• The developed noise-adaptive solution outperformed unprocessed conditions.
• The smartphone app demonstrated effective integration with hearing aid devices.

Conclusions:

• The noise-adaptive speech enhancement solution effectively improves hearing aid performance in noisy environments.
• The smartphone app provides a practical and accessible tool for enhancing speech understanding.
• Further research can explore broader noise conditions and user populations.