Speech Understanding in Noise by Patients With Cochlear Implants Using a Monaural Adaptive Beamformer

Area of Science:

• Audiology
• Biomedical Engineering
• Speech Processing

Background:

• Cochlear implants (CIs) aim to restore hearing but often struggle with speech understanding in noisy environments.
• Bilateral CIs and hearing preservation (HP) surgery are interventions to improve auditory input.
• Monaural adaptive beamformers offer a potential technological solution for enhanced sound processing.

Purpose of the Study:

• To compare the effectiveness of a monaural adaptive beamformer against bilateral CIs and HP surgery for improving speech understanding in noise.
• To evaluate the performance gains in complex auditory scenarios.

Main Methods:

• Speech understanding in noise was assessed in 10 single CI users with and without a monaural adaptive beamformer.
• A 'cocktail party' environment with spatially separated target sounds and maskers was used.
• Data from previous studies on bilateral CIs (10 users) and HP CIs (8 users) using the same protocol were included for comparison.

Main Results:

• The monaural adaptive beamformer yielded a significant 31 percentage point improvement in speech understanding.
• Bilateral CIs resulted in an 18 percentage point improvement.
• HP surgery provided a 20 percentage point improvement.

Conclusions:

• A monaural adaptive beamformer can enhance speech understanding in complex noise environments for CI users.
• The performance improvement from the beamformer is comparable to or greater than that achieved with bilateral CIs or HP surgery.