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1
Acoustic measures characterizing anger across corpora collected in artificial or natural context
In: Speech Prosody ; https://hal.archives-ouvertes.fr/hal-01768783 ; Speech Prosody, 2010, Chicago, United States (2010)
Abstract: International audience ; This paper aims at studying differences between acoustic manifestations of anger across corpora collected in artificial, manipulated or natural context. It aims further at finding measures of naturalness in emotive corpora. Evaluating the degree of naturalness of a corpus can be challenging unless given knowledge upon the task. In corpora consisting of rather acted data, anger is often stronger; we believe that a kind of distance can be computed between anger and the overall corpus data. Such a distance is introduced in this work and evaluated with state-of-art acoustic descriptors in 3 collected corpora. We show the observed differences between the acoustic features obtained with anger samples in these different contexts and propose measures of naturalness.
Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; anger; Emotion detection; naturalness; prototypical emotion
URL: https://hal.archives-ouvertes.fr/hal-01768783
https://hal.archives-ouvertes.fr/hal-01768783/document
https://hal.archives-ouvertes.fr/hal-01768783/file/SP_Tahon_2010.pdf
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2
Whodunnit - Searching for the Most Important Feature Types Signalling Emotion-Related User States in Speech
In: ISSN: 0885-2308 ; EISSN: 1095-8363 ; Computer Speech and Language ; https://hal.archives-ouvertes.fr/hal-00661911 ; Computer Speech and Language, Elsevier, 2010, 25 (1), pp.4. ⟨10.1016/j.csl.2009.12.003⟩ (2010)
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