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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 />

35

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