NDLI: CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset

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CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset

Content Provider	IEEE Xplore Digital Library
Author	Houwei Cao Cooper, D.G. Keutmann, M.K. Gur, R.C. Nenkova, A. Verma, R.
Copyright Year	2010
Abstract	People convey their emotional state in their face and voice. We present an audio-visual dataset uniquely suited for the study of multi-modal emotion expression and perception. The dataset consists of facial and vocal emotional expressions in sentences spoken in a range of basic emotional states (happy, sad, anger, fear, disgust, and neutral). 7,442 clips of 91 actors with diverse ethnic backgrounds were rated by multiple raters in three modalities: audio, visual, and audio-visual. Categorical emotion labels and real-value intensity values for the perceived emotion were collected using crowd-sourcing from 2,443 raters. The human recognition of intended emotion for the audio-only, visual-only, and audio-visual data are 40.9, 58.2 and 63.6 percent respectively. Recognition rates are highest for neutral, followed by happy, anger, disgust, fear, and sad. Average intensity levels of emotion are rated highest for visual-only perception. The accurate recognition of disgust and fear requires simultaneous audio-visual cues, while anger and happiness can be well recognized based on evidence from a single modality. The large dataset we introduce can be used to probe other questions concerning the audio-visual perception of emotion.
Sponsorship	IEEE Computer Society
Starting Page	377
Ending Page	390
Page Count	14
File Size	1166823
File Format	PDF
ISSN	19493045
Volume Number	5
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Crowdsourcing Emotion recognition Databases Audio-visual systems voice expression Emotional corpora facial expression multi-modal recognition
Content Type	Text
Resource Type	Article
Subject	Human-Computer Interaction Software

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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