Data and supporting figures for JAES journal paper "Intelligent rendering of object-based audio: Elicitation of Expert Knowledge to Inform Object-Based Audio Rendering to Different Systems"

<div>This repository contains the stimuli and data underlying the JAES publication "Elicitation of Expert Knowledge to Inform Object-Based Audio Rendering to Different Systems".</div><div><br></div><div>The zip archive "stimuli.wav" contains the four clips that were used in the experiment. The channel order is as follows:</div><div><br></div><div>Ch 1 - 24: 9+10+3 VBAP render</div><div>Ch 27 - 35: 4+5+0 VBAP render</div><div>Ch 37 - 41: 0+5+0 VBAP render</div><div>Ch 43 - 44: 0+2+0 VBAP render</div><div>Ch 46 - 51: 0+5+0 Matrix downmix</div><div>Ch 52 - 53: 0+2+0 Matrix downmix</div><div><br></div><div>Note: All other channels are LFE channels which were not used in the experiment.</div><div><br></div><div>The R script PUBLIC_text_mining_results.R replicate the results of the text mining described in the paper. It requires the data contained in the zip archive "text_all.zip"</div><div><br></div><div>The R script PUBLIC_followup_interview_results.R replicates the results of the regression modelling described in the paper. It requires the data contained in "interview_data.csv" and "object_coding.csv".</div>