IMMA-Emo: A Multimodal Interface for Visualising Score- and Audio-synchronised Emotion Annotations

Abstract

Emotional response to music is often represented on a two-dimensional arousal-valence space without reference to score information that may provide critical cues to explain the observed data. To bridge this gap, we present IMMA-Emo, an integrated software system for visualising emotion data aligned with music audio and score, so as to provide an intuitive way to interactively visualise and analyse music emotion data. The visual interface also allows for the comparison of multiple emotion time series. The IMMA-Emo system builds on the online interactive Multi-modal Music Analysis (IMMA) system. Two examples demonstrating the capabilities of the IMMA-Emo system are drawn from an experiment set up to collect arousal-valence ratings based on participants' perceived emotions during a live performance. Direct observation of corresponding score parts and aural input from the recording allow explanatory factors to be identified for the ratings and changes in the ratings.