2005
DOI: 10.1007/11573548_68
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The Relative Weights of the Different Prosodic Dimensions in Expressive Speech: A Resynthesis Study

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Cited by 6 publications
(12 citation statements)
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“…Consistent with the claim that changing intensity contours alone cannot bring any significant information [16], we observed that sound intensity raising could not significantly enhance the anger level of neutral prosodies and reduced sound intensity angry prosodies still sound angry. However, decreasing sound intensity conspicuously weaken the angry level and prolonged the reaction times for angry prosodies, suggesting that sound intensity do have a role in vocal emotion encoding [1], [9], at least in expression of anger.…”
Section: Resultssupporting
confidence: 89%
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“…Consistent with the claim that changing intensity contours alone cannot bring any significant information [16], we observed that sound intensity raising could not significantly enhance the anger level of neutral prosodies and reduced sound intensity angry prosodies still sound angry. However, decreasing sound intensity conspicuously weaken the angry level and prolonged the reaction times for angry prosodies, suggesting that sound intensity do have a role in vocal emotion encoding [1], [9], at least in expression of anger.…”
Section: Resultssupporting
confidence: 89%
“…This finding is consistent with previous studies which indicated that it is a specific acoustic pattern, but not a single acoustic parameter alone, that convey vocal emotion [1], [43], and no parameter alone is able to carry the whole emotion information and the intensity contours do not bring any significant information when used alone [16]. However, reducing mean sound intensity decreased the anger level of angry prosodies quantitatively, suggesting that sound intensity do play a role in vocal emotion expressing, in line with the numerous studies which stated that loudness is one of the acoustic cues to convey emotion [1], [42][43].…”
Section: Discussionsupporting
confidence: 93%
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“…In other words, prosody is realized by a combination of at least these three prosodic elements based upon observation on our speech corpus. These results suggests that, as already pointed out by Audibert et al [5], in order to obtain a more natural synthesized voice, more acoustic elements (not only pitch) should be integrated. Moreover, this suggests that an automatic prosody labeler will perform better when three acoustic elements are integrated (56.3%), instead of using only pitch and duration (55.3%), as AuToBI does [17].…”
Section: Prosody Prediction Experimentssupporting
confidence: 70%
“…However, the combination of word level acoustic and linguistic features seem still not to lead to an optimal speech quality. Speech generated using these features continues to suffer from a certain monotony, especially in the case of expressive multisentential discourse [5].…”
Section: Introductionmentioning
confidence: 99%