Developing a corpus of audio-visual attitudinal expressions in Hindi

Abstract

International audienceThis paper presents a corpus of attitudinal expressions in Hindi and their evaluation by native Hindi speaking raters. The paradigm is adapted from Rilliard et al. (2013), and forms part of an intercultural endeavour aimed at studying prosodic and facial expressions of social affect across languages. Our corpus includes a total of 16 attitudes, such as arrogance, surprise, politeness etc. portrayed by 19 speakers (10f, 9m) of which three experts selected the best four males and females and the better of two turns for subsequent analysis. A followup experiment with more participants employed a total of 512 stimuli, 256 hereof full audiovisual stimuli, 128 audio-only and 128 silent video stimuli. Results indicate higher ratings for emotionally loaded attitudes such as irritation and doubt as compared to, for instance, irony or seductiveness. Reduced modality stimuli were rated more poorly