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Parameter-based binaural hearing aid algorithms to improve speech intelligibility and localization in complex

Young Woo Lee, Brian C J Moore

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|January 7, 2016

Summary

This study introduces advanced hearing aid algorithms to improve sound clarity by enhancing binaural cues and suppressing noise. These methods aim to boost speech intelligibility for hearing-impaired individuals.

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Area of Science:

Audiology
Signal Processing
Acoustics

Background:

Binaural hearing aids aim to restore natural sound localization and spatial awareness.
Low-frequency interaural level difference (ILD) cues are often weak, posing challenges for hearing aid algorithms.
Effective noise suppression is crucial for improving speech intelligibility in noisy environments.

Purpose of the Study:

To develop novel binaural enhancement and noise suppression algorithms for hearing aids.
To improve the perception of interaural level difference (ILD) cues at low frequencies.
To enhance the performance of binaural hearing aids in noisy conditions.

Main Methods:

Estimation and transformation of interaural time difference (ITD) cues to enhance ILDs.
Implementation of a binaural noise suppression algorithm using adaptive beamforming.
Application of a coherence-based suppression filter utilizing phase and signal-to-noise ratio (SNR) information.

Main Results:

The proposed algorithms demonstrated effectiveness in enhancing binaural cues.
Noise suppression performance was evaluated using objective metrics and perceptual tests.
Hearing-impaired listeners participated in perceptual evaluations to assess the algorithms' benefits.

Conclusions:

The developed algorithms offer significant improvements for binaural hearing aid performance.
Enhanced ILD cues and effective noise suppression contribute to better spatial hearing.
The findings suggest a potential advancement in audiological rehabilitation technology.