Basehead vs audiofinder1/4/2024 The method was shown to be effective in supporting users in the more accurate assessment of cluster mass and number of clusters. This paper introduces Mode Explorer, a new sonification model that enables continuous interactive exploration of datasets with regards to their clustering. To minimize the challenge, some information can be shifted into the auditory channel using humans’ highly developed listening skills. Because EDA predominantly employs data visualization, it remains challenging to visualize high-dimensional data. Our study shows that spatial visualizations do improve the overall exploration experience, and reveals the potential of similarity-based arrangements for the support of creative processes.Įxploratory Data Analysis (EDA) refers to the process of detecting patterns of data when explicit knowledge of such patterns within the data is missing. These visualizations are implemented and compared in a music creation task, in terms of both the exploration experience and the resulting production quality, within a system for drum kit configuration. To address this issue, two novel spatial visualizations (respectively organized by name and by timbre-similarity) are designed as potential alternatives to the traditional 1D list-based browsers. Preliminary user studies with professional electronic music producers point up the frustration and laboriousness of finding suitable drum samples in the increasingly large libraries of sounds available, and suggest the need for alternative interfaces and approaches. This paper explores the potential benefits of using similarity-based two-dimensional classifications and their corresponding GUIs, for drum samples retrieval in a creativity-oriented context.
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