Demo/Koremo corpus for Dutch and Korean emotional speech

This collection contains: 1) the Demo/Koremo corpus for Dutch and Korean emotional speech (wavefiles and readme), 2) scenarios used in its creation (text), 3) Textgrids used with the corpus (Praat TextGrids and readme), 4) data used for the paper ‘Investigating cross-cultural vocal emotion recognition with an affectively and linguistically balanced design’ (excel file including codebook and R file), and 5) R script used for that same paper (R file).

THE DEMO/KOREMO CORPUS has been specifically developed for the purpose of cross-linguistic comparison, and is more balanced than any similar corpus available so far: a) it contains expressions by both Dutch and Korean actors as well as judgments by both Dutch and Korean listeners; b) the same elicitation technique and recording procedure was used for recordings of both languages; c) the same nonsense sentence, which was constructed to be permissible in both languages, was used for recordings of both languages; and d) the emotions present in the corpus are balanced in terms of valence, arousal, and dominance. The corpus contains a comparatively large number of emotions (eight) uttered by a large number of speakers (eight Dutch and eight Korean). The counterbalanced nature of the corpus will enable a stricter investigation of language-specific versus universal aspects of emotional expression than was possible so far. Furthermore, given the carefully controlled phonetic content of the expressions, it allows for analysis of the role of specific phonetic features in emotional expression in Dutch and Korean.

THE PAPER ‘INVESTIGATING CROSS-CULTURAL VOCAL EMOTION RECOGNITION WITH AN AFFECTIVELY AND LINGUISTICALLY BALANCED DESIGN’ has two main goals, one theoretical and the other methodological. First, it aims to explore the recognition of emotions in two typologically different languages, Dutch and Korean, within and across cultures. Second, it aims to contribute to the methodological development of the study of cross-cultural vocal emotion recognition by employing the Demo/Koremo corpus for Dutch and Korean emotional speech.