A 3-D Audio-Visual Corpus of Affective Communication

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A 3-D Audio-Visual Corpus of Affective Communication
Communication between humans deeply relies on the capability of expressing and recognizing feelings. For this reason, research on human-machine interaction needs to focus on the recognition and simulation of emotional states, prerequisite of which is the collection of affective corpora. Currently available datasets still represent a bottleneck for the difficulties arising during the acquisition and labeling of affective data. In this work, we present a new audio-visual corpus for possibly the two most important modalities used by humans to communicate their emotional states, namely speech and facial expression in the form of dense dynamic 3-D face geometries. We acquire high-quality data by working in a controlled environment and resort to video clips to induce affective states. The annotation of the speech signal includes: transcription of the corpus text into the phonological representation, accurate phone segmentation, fundamental frequency extraction, and signal intensity estimatio...
Gabriele Fanelli, Jürgen Gall, Harald Romsdor
Added 22 May 2011
Updated 22 May 2011
Type Journal
Year 2010
Where TMM
Authors Gabriele Fanelli, Jürgen Gall, Harald Romsdorfer, Thibaut Weise, Luc J. Van Gool
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