Datasets

SFU-Store-Nav dataset is a multimodal dataset that contains visual recording of human participants, and motion capture data of their head positions and orientations. The dataset is collected in a set of experiments that simulate a shopping scenario where human participants come in to pick up items from his/her shopping list and interact with a Pepper robot that is programmed to help the human participant.

A multi-cultural video dataset of anger-related emotions.

This dataset contains almost 4 hours of English speech from 98 actors with varying regional and non-native accents. The data was collected on smartphones in the actors homes and therefore includes at least 98 different acoustic environments. The data also includes 7 different emotion prompts and both shouted and spoken utterances. The smartphones were places in 19 different positions, including obstructions and being in a different room than the actor. This data is publicly available for use and can be used to evaluate a variety of speech recognition tasks, including: ASR, shout detection, and speech emotion recognition (SER).