The purpose of this clinical investigation is to develop pre-processing strategies to enhance speech and reduce noise for CI listeners. The Clinical Investigation will be comprised of several arms which will aim to optimize speech enhancement algorithms, to improve real-world functionality, and to incorporate them efficiently into CI speech processors.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
TREATMENT
Masking
SINGLE
Enrollment
150
DNR algorithm
Standard-of-care sound path as implemented in the N8 system
Spatial Automation profile
Cochlear Melbourne
Melbourne, Victoria, Australia
HEARnet Clinical Studies
Melbourne, Victoria, Australia
Australian Sentence Test in Noise (AuSTIN)
To determine whether the research algorithm provides non-inferior performance to the standard-of-care algorithm for sentences in noise using an adaptive sentence test in noise scores. Scoring: AuSTIN is scored as a Speech Reception Threshold (SRT), which reflects the volume of speech signal (in decibels, dB) relative to the background noise required for the subject to achieve 50% correct. For example, a score of 2dB SRT means the subject requires the speech to be 2dB louder than the background noise in order to correctly identify 50% of the target sentence. Range: -30dB to +30dB. Lower scores reflect a better outcome.
Time frame: 1 day - Immediately post-screening
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Microphone miscalibration profile with applied correction method
Spatial Automation profile and DNR algorithm
CUSP reference sound path