Sentences in Noise at 65 dBA, + 5 dB SNR Multi-
Talker Babble
Sentence recognition scores in noise with AutoSense
OS on a Naída CI M sound processor were better than
sentence scores with AutoSound on a Naída CI Q sound
processor and also were better than sentence scores with
the AutoSense OS Off program on a Naída CI M sound
processor. See table below.
N
Mean (SD)
Median
Min, Max
Statistical analysis of the sentence recognition data shows
that AutoSense OS on a Naída CI M sound processor
performs better than AutoSound on a Naída CI Q sound
processor or the AutoSense OS Off program on a Naída CI
M sound processor when tested in noise. When tested in
quiet, statistical analysis of the data shows that AutoSense
OS on a Naída CI M sound processor is no worse than
AutoSound on a Naída CI Q sound processor.
N
Ci Q
aída
2 l
iSt
a
S
uto
ouNd
a
Verage
S
(%)
Core
10
52.95 (31.163) 76.37 (19.078) 42.93 (30.801)
48.25
13.4
94.7
N
aída
2 l
iSt
a
S
oS
uto
eNSe
a
Verage
S
(%)
Core
10
79.50
31.8
92.8
Ci m
2 l
iSt
a
S
uto
eNSe
oS o
ff
a
Verage
S
(%)
Core
10
39.15
9.3
91.2
39