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The acoustic signal of voice is inherently multi-dimensional. Early speech and voice research often focused on isolated or limited acoustic features. However, past research has demonstrated that a comprehensive understanding of voice requires analysing multiple dimensions simultaneously. The Voxplorer interactive dashboard addresses this issue by making state-of-the-art feature extraction and dimensionality reduction methods more accessible. It allows users to interactively explore, subset, and visualise pre-computed high-dimensional data, or extract features from recordings directly in the dashboard. The Voxplorer aims to provide modern technical resources for researchers, broadening the ideas and scope of future researcher in the field of voice communication sciences.