A new emotion database: considerations, sources and scope

By Ellen Douglas-Cowie, R. Cowie, Marc Schröder. 2000

202 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/f9e9a66e59ed063ec2b76d52f3daedce8aa0369a

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Citations in the corpus

Building Naturalistic Emotionally Balanced Speech Corpus by Retrieving Emotional Speech from Existing Podcast Recordings (2019, background): “results in over-emphasized expressions which differ from subtle behaviors observed during daily interactions [4], [7], [8], [9].”
Speaker-dependent audio-visual emotion recognition (2009, methodology): “Belfast Naturalistic Database [5] consists of 239 clips from TV programs and interviews of 100 male and female speakers.”
A 3D facial expression database for facial behavior research (2006, background): “As quoted by Cowie et al [33], displays of intense emotion or “pure” primary emotions rarely happened.”
DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2012, background): “These databases mostly cover speech, visual data, or audiovisual data (e.g., [11], [12], [13], [14], [15]).”
The Vera am Mittag German audio-visual emotional speech database (2008, background): “Important aspects of data collection are highlighted in [2, 9].”
Describing the emotional states that are expressed in speech (2003, methodology): “We have developed one that is described in another paper in this conference [34].”
A database of German emotional speech (2005, background): “Although having been studied since the 1950’s, the investigation of emotional cues in speech is gaining growing attention.”
Emotion Recognition in Speech using Cross-Modal Transfer in the Wild (2018, methodology): “leb dataset that is used in this paper: (1) Most speech emotion datasets consist of elicited or acted speech, typically created in a recording studio, where actors read from written text. However, as [27] points out, full-blown emotions very rarely appear in the real world and models trained on acte”
Emotional speech: Towards a new generation of databases (2003, methodology): “rdg.ac.uk/research/speechlab/emotion/); the Belfast project (Cowie et al., 2000a; Douglas-Cowie et al., 2000 ), which assembled the first large audio–visual database of emotion as part of the Principled Hybrid Systems and Their Application (PHYSTA) project (Cowie et al., 2001; www.image.ntua.gr/ ph”
A high-resolution 3D dynamic facial expression database (2008, unknown): “Databases STATIC DYNAMIC 2D FERET [23], CMU-PIE [26], JAFFE [15], AR [16], Many others [10], ... Cohn-Kanade [11], MMI [19], RU-FACS-1 [24], xm2vtsdb [17], UT-Dallas [32], Newcastle [9], Many others [10], [28], [34] ... 3D 3D FRGC [22], DARPA-HumanID [33], xm2vtsdb [12] [17], BU-3DFE [40] , … None T”