Evaluation of a New Algorithm to Optimize Audibility in Cochlear Implant Recipients.

Area of Science:

• Audiology
• Biomedical Engineering
• Speech Perception

Background:

• Cochlear implant (CI) recipients benefit from audibility for speech understanding.
• Programming CI sound processors for optimal audibility, especially for soft speech, can be challenging.
• Advanced Bionics (AB) developed the SoftVoice algorithm to reduce system noise and enhance soft speech audibility.

Purpose of the Study:

• To evaluate the efficacy of the SoftVoice algorithm in improving soft-speech perception in AB CI recipients.
• To compare the performance of SoftVoice with the standard 'Everyday' program.
• To assess the impact of SoftVoice on speech perception in quiet and noisy environments across different presentation levels.

Main Methods:

• Two studies were conducted with adult AB CI recipients using Harmony and Naida CI processors.
• Acute testing involved comparing the 'Everyday' program with and without SoftVoice at various speech presentation levels (35-60 dB SPL).
• Take-home trials and evaluation of T-level programming options were included to assess real-world usability.

Main Results:

• SoftVoice significantly improved speech recognition scores at soft presentation levels (35-50 dB SPL) compared to the 'Everyday' program.
• No significant differences were observed at conversational levels (60 dB SPL) in quiet or noise.
• While 50% of participants preferred SoftVoice in take-home trials, some reported bothersome environmental sounds; adjusting T-levels mitigated this.

Conclusions:

• The SoftVoice algorithm shows potential for optimizing audibility and soft-speech perception in AB CI users.
• Careful consideration of T-level settings is crucial for balancing soft-speech perception and comfortable use in daily environments.
• Further research into program parameters, such as increased input dynamic range, may further enhance SoftVoice benefits.