A Cantonese Audio-Visual Emotional Speech (CAVES) dataset.

Abstract

We present a Cantonese emotional speech dataset that is suitable for use in research investigating the auditory and visual expression of emotion in tonal languages. This unique dataset consists of auditory and visual recordings of ten native speakers of Cantonese uttering 50 sentences each in the six basic emotions plus neutral (angry, happy, sad, surprise, fear, and disgust). The visual recordings have a full HD resolution of 1920 × 1080 pixels and were recorded at 50 fps. The important features of the dataset are outlined along with the factors considered when compiling the dataset. A validation study of the recorded emotion expressions was conducted in which 15 native Cantonese perceivers completed a forced-choice emotion identification task. The variability of the speakers and the sentences was examined by testing the degree of concordance between the intended and the perceived emotion. We compared these results with those of other emotion perception and evaluation studies that have tested spoken emotions in languages other than Cantonese. The dataset is freely available for research purposes.