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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"

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Figshare2018-01-23 更新2026-04-29 收录
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https://figshare.com/articles/dataset/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_/3120112
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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 renderCh 27 - 35: 4+5+0 VBAP renderCh 37 - 41: 0+5+0 VBAP renderCh 43 - 44: 0+2+0 VBAP renderCh 46 - 51: 0+5+0 Matrix downmixCh 52 - 53: 0+2+0 Matrix downmixNote: 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".
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2018-01-23
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