THESIS
2018
viii, 16 pages : illustrations ; 30 cm
Abstract
Recent studies have found that different musical instruments have strong and different
emotional characteristics. This thesis considers how the emotional characteristics of the
soprano voice differ with Pitch, Dynamics, and Vowel, by conducting listening tests.
Listeners compared the tones pairwise over ten Emotional Categories, and the results were
derived using the Bradley-Terry-Luce (BTL) statistical model. The results showed that Angry,
Comic, Happy, Heroic, and Scary were stronger for loud notes, while Calm, Mysterious,
Romantic, Sad, and Shy were stronger for soft notes. In terms of Pitch, Calm, Comic, Happy,
Heroic, Mysterious, Romantic, Sad, and Shy had an arching shape that peaked at A5. In
contrast, Angry had a U-shape with a valley at A5. Scary generally increased wit...[
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Recent studies have found that different musical instruments have strong and different
emotional characteristics. This thesis considers how the emotional characteristics of the
soprano voice differ with Pitch, Dynamics, and Vowel, by conducting listening tests.
Listeners compared the tones pairwise over ten Emotional Categories, and the results were
derived using the Bradley-Terry-Luce (BTL) statistical model. The results showed that Angry,
Comic, Happy, Heroic, and Scary were stronger for loud notes, while Calm, Mysterious,
Romantic, Sad, and Shy were stronger for soft notes. In terms of Pitch, Calm, Comic, Happy,
Heroic, Mysterious, Romantic, Sad, and Shy had an arching shape that peaked at A5. In
contrast, Angry had a U-shape with a valley at A5. Scary generally increased with Pitch. Shy
slightly decreased with Pitch overall, though the prominent Vowel I was arching with a peak
at A5. Vowels A and U were each individually prominent across seven Categories, indicating
a wide range of strong expression, whereas Vowel E was only prominent across three
Categories. These results quantify emotional nuance in the voice, which perhaps would be of
interest to composers, vocalists, and audio engineers in manipulating emotional nuance in
compositions, performances, and recordings.
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