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A 3-D Audio-Visual Corpus of Affective Communication

G. Fanelli and J. Gall and H. Romsdorfer and T. Weise and L. Van Gool
IEEE Transactions on Multimedia
Vol. 12, No. 6, pp. 591 - 598, October 2010

Abstract

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 estimation of the speech signals. We employ a real-time 3-D scanner to acquire dense dynamic facial geometries and track the faces throughout the sequences, achieving full spatial and temporal correspondences. The corpus is a valuable tool for applications like affective visual speech synthesis or view-independent facial expression recognition.


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@Article{eth_biwi_00760,
  author = {G. Fanelli and J. Gall and H. Romsdorfer and T. Weise and L. Van Gool},
  title = {A 3-D Audio-Visual Corpus of Affective Communication},
  journal = {IEEE Transactions on Multimedia},
  year = {2010},
  month = {October},
  pages = {591 - 598},
  volume = {12},
  number = {6},
  keywords = {Audio-visual database, emotional speech, face tracking, visual speech modeling, 3-D face modeling}
}