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The Emotion Recognition Task

The ERT is a computerized task to assess the perception of facial expressions. The task presents morphed facial expressions that gradually increase in intensity.

Authors:  Barbara MontagneRoy KesselsDavid PerrettEdward de Haan
Updated:  2020-01-20
Source:  https://www.emotionrecognitiontask.com/
Keywords:  emotionpsychologyneuropsychologycognitionDutchEnglishGermanFrenchSpanishFinnishItalianRussianLithuanianGreekPortugueseTurkish

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Da Amazing Voice Inflection Device

DAVID (Da Amazing Voice Inflection Device) is a free, real-time voice transformation tool able to “colour” any voice recording with an emotion that wasn’t intended by its speaker.

Authors:  Marco LiuniPetter JohanssonLars HallRodrigo SegniniKatsumi WatanabeDaniel Richardson
Updated:  2015-09-21
Source:  http://cream.ircam.fr/?p=44
Keywords:  languageemotionpsychologyneuroscienceFrenchEnglishSwedishJapanese

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USC CreativeIT database of multimodal dyadic interactions

Data from 16 actors, male and female, during their affective dyadic interactions ranging from 2-10 minutes each, and two types of improvised interactions: 2 sentence exercises and paraphrases.

Authors:  Angeliki MetallinouZhaojun YangChi-Chun LeeCarlos BussoSharon CarnickeShrikanth Narayanan
Updated:  2015-04-17
Source:  https://sail.usc.edu/CreativeIT/
Keywords:  dyadic-interactionsspeechgesturesmotion-captureemotionenglish

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USC-EMO-MRI: An emotional speech production database

An emotional speech production database recorded by real-time magnetic resonance imaging.

Authors:  Jangwon KimAsterios ToutiosYoon-Chul KimYinghua ZhuSungbok LeeShrikanth Narayanan
Updated:  2014-05-05
Source:  https://sail.usc.edu/span/usc-emo-mri/
Keywords:  emotionspeech-productionMRIreal-time-MRIenglish

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Warriner English Affective Ratings

We have collected affective norms of valence, arousal, and dominance for 13,915 English words (lemmas). They are a complement of our age-of-acquisition ratings and subtitle word frequencies.

Authors:  Marc BrysbaertVictor Kupermanand Amy Warriner
Updated:  2013-01-05
Source:  http://crr.ugent.be/archives/1003
Keywords:  semanticscrowdsourcingword-frequencyEnglishemotion