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Titlebook: Affective Information Processing; Jianhua Tao,Tieniu Tan Book 2009 Springer-Verlag London 2009 Affect.Affective Computing.Affective Inform

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發(fā)表于 2025-3-28 15:23:55 | 只看該作者
42#
發(fā)表于 2025-3-28 20:46:18 | 只看該作者
Rita Goyal,Nada Kakabadse,Andrew Kakabadses more and more important. This chapter begins by introducing the correlations be?tween basic speech features such as pitch, intensity, formants, MFCC, and so on, and the emotions. Several recognition methods are then described to illustrate the performance of the previously proposed models, includi
43#
發(fā)表于 2025-3-29 00:43:43 | 只看該作者
44#
發(fā)表于 2025-3-29 03:51:26 | 只看該作者
45#
發(fā)表于 2025-3-29 07:27:07 | 只看該作者
Cláudia Sim?es,Alin Stancu,Georgiana Grigoreson is, and second, we may be misled by them. The present chapter has the goal to present some findings about the importance of faces in the context of emotion communication. Most research on emotion considers the face as if it were a blank canvas with no meaning of its own. However, as we show, fac
46#
發(fā)表于 2025-3-29 11:49:44 | 只看該作者
47#
發(fā)表于 2025-3-29 16:12:25 | 只看該作者
48#
發(fā)表于 2025-3-29 19:47:55 | 只看該作者
49#
發(fā)表于 2025-3-30 01:06:13 | 只看該作者
50#
發(fā)表于 2025-3-30 07:25:39 | 只看該作者
Michael Blatz,Karl-J. Kraus,Sascha Haghani. Current prototypes are often limited to the detection and synthesis of a few primary emotions and are most of the time grounded on acted data collected in-lab. In order to model the sophisticated relations between spontaneous emotions and their expressions in different modalities, an exploratory a
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