SLPRCTEar and hearing2019

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

Laura K Holden, Jill B Firszt, Ruth M Reeder and 3 others

PMID 30418283

WHAT IT FOUND

The SoftVoice algorithm improved hearing of soft speech in quiet for cochlear implant users without harming normal conversation.

However, it made environmental noises bothersome for some. Lowering sensitivity thresholds to reduce this noise also reduced the benefit for soft speech, requiring a trade-off in programming.

Key findings

01SoftVoice significantly improved sentence recognition at soft levels (35-50 dB SPL) compared to the standard program.

02Half of the participants taking the algorithm home reported that environmental sounds became irritating or bothersome.

03Lowering the detection thresholds to reduce bothersome noise resulted in significantly worse soft-speech perception than the standard high-threshold setting.

STILL TO COME

How it was doneWhat they foundWhat it means for SLPs

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What it does not show

The sample size was small (16 in Study 1A, 10 in subsequent phases). Participants were mostly high-performing CI users, so results may not generalize to those with poor speech recognition. In the home-use phase, researchers could not track how much time participants spent using each program, so it is unclear if lack of benefit was due to the algorithm or lack of use. The study was conducted at a single center.

Declared interests

The study was supported by the National Institutes of Health (N.I.H., Extramural) and Non-U.S. Government research support. The text does not explicitly declare conflicts of interest regarding Advanced Bionics, the manufacturer of the tested algorithm, though the company developed the technology.

The easy way to misread this

Do not assume that reducing detection thresholds to fix noise annoyance is a harmless adjustment. The study showed that lowering thresholds significantly degraded the ability to hear soft speech, negating the primary benefit of the algorithm.

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