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"
datasetposted on 23.01.2018, 08:36 by James Stephen Woodcock, William J Davies, Trevor John Cox, Frank Melchior
This repository contains the stimuli and data underlying the JAES publication "Elicitation of Expert Knowledge to Inform Object-Based Audio Rendering to Different Systems".
The zip archive "stimuli.wav" contains the four clips that were used in the experiment. The channel order is as follows:
Ch 1 - 24: 9+10+3 VBAP render
Ch 27 - 35: 4+5+0 VBAP render
Ch 37 - 41: 0+5+0 VBAP render
Ch 43 - 44: 0+2+0 VBAP render
Ch 46 - 51: 0+5+0 Matrix downmix
Ch 52 - 53: 0+2+0 Matrix downmix
Note: All other channels are LFE channels which were not used in the experiment.
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"
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".