Human Factors Evaluation of Vocoders for Air Traffic Control ... - FAA
Human Factors Evaluation of Vocoders for Air Traffic Control ... - FAA
Human Factors Evaluation of Vocoders for Air Traffic Control ... - FAA
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ANOVA testing <strong>for</strong> interaction <strong>of</strong> sex with background noise revealed that <strong>for</strong> both conditions <strong>of</strong><br />
the speaker, the effect <strong>of</strong> background noise was significant. Post hoc Tukey tests determined<br />
which means differed. Table 28 depicts the results <strong>of</strong> the Tukey HSD tests <strong>for</strong> the interaction <strong>of</strong><br />
sex <strong>of</strong> speaker and background noise. Cases with jet background noise appear to score low in<br />
this objective measure <strong>of</strong> intelligibility. This result is in agreement with the subjective ratings <strong>of</strong><br />
intelligibility previously presented. Figure 18 shows a graphical representation <strong>of</strong> these means.<br />
Table 28. Tukey HSD Post Hoc Background Noise Comparisons <strong>for</strong> Message Completion Test<br />
Scores<br />
Sex <strong>of</strong> Speaker Result Interpretation<br />
Male HPNJ Helicopter, propeller, and no background noise means are the same. No<br />
background and jet means are the same. Jet background mean is lower<br />
and different than helicopter and propeller means.<br />
Female PNHJ Propeller background and no background means are the same. No<br />
background and helicopter background means are the same. Helicopter<br />
mean is lower and different than propeller mean. Jet background mean<br />
is lower and different than all other means.<br />
9<br />
Mean Intelligibility Score<br />
8.95<br />
8.9<br />
8.85<br />
8.8<br />
8.75<br />
8.7<br />
JET PROP HELO NONE<br />
Background Noise Condition<br />
MALE<br />
FEMALE<br />
Figure 18. Mean scores from the Message Completion Test as a function <strong>of</strong> sex <strong>of</strong> speaker and<br />
background noise.<br />
3.3 Audio Preference Test<br />
The data from this test were analyzed by counting the number <strong>of</strong> participants who preferred<br />
vocoder model A and vocoder model B <strong>for</strong> each test condition. Individual chi-squared analysis<br />
determined the effects <strong>of</strong> each experimental condition on vocoder preference.<br />
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