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Sentences in Noise at 65 dBA, + 5 dB SNR Multi-
Talker Babble
Across all subjects, better sentence recognition scores in
noise were observed when using AutoSense OS as compared
to the AutoSense OS Off program. See table below.
N
Mean (SD)
Median
Min, Max
In quiet, 100% of subjects' AutoSense OS scores were
within 10% of their AutoSense OS Off scores and in noise
90% of subjects' AutoSense OS scores were better than
their AutoSense OS Off scores by 10% or more. These
observed trends further demonstrate that automatic
activation of the AutoSense OS features does not negatively
impact sentence recognition in quiet or noise conditions.
Additionally, the improvement in sentence recognition
in multi-talker babble noise with AutoSense OS is evident.
Follow-Up Self-Assessment Questionnaire Results
Results were similar across sound quality and listening
comfort ratings. All 10 subjects (100.0%) reported
acceptable sound quality in quiet, with 9 subjects (90.0%)
reporting strong agreement and 1 subject (10.0%)
reporting slight agreement. Nine subjects (90.0%)
2 l
a
S
iSt
uto
eNSe
a
S
Verage
Core
10
79.29 (16.439)
86.98
45.8, 95.3
oS
2 l
iSt
(%)
oS o
a
Verage
10
54.19 (23.826)
57.53
19.8, 81.4
a
S
uto
eNSe
ff
S
(%)
Core
33
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