Data

Supplemental data from the PhD thesis: Timbral transformation in contemporary music: event generation, perception thresholds and mixing preferences

Western Sydney University
Dobrowohl, Felix
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://research-data.westernsydney.edu.au/published/02b85fd0519411ecb15399911543e199&rft.title=Supplemental data from the PhD thesis: Timbral transformation in contemporary music: event generation, perception thresholds and mixing preferences&rft.identifier=https://research-data.westernsydney.edu.au/published/02b85fd0519411ecb15399911543e199&rft.publisher=Western Sydney University&rft.description=This series of experiments is explicitly focused on listeners’ ability to detect change in timbre or sound, rather than differentiating different sounds or sound identities from one another.The dataset includes auditory stimuli from the experiments, example sounds of experiment results, R and Matlab code for the utilised data analysis, MaxMSP code for running the experiments and a soundfile for the experimental result of research-led practice.Available downloads:Exp01.zip – max routine used for experiment 1, including executable max file (“START HERE – Experiment01.maxpat”), stimuli folder (“Stimuli07”), dummy stimuli (“nullstimuli”) and participant motivating reward pictures (“pictures”)Exp01–Analysis.zip – Archive, containing the raw data (“data09.csv”) as well as the Matlab PT plotting script (“means_plot_overall.m”) and musicianship comparison script (“muso_nonmuso.m”) (requires “errorbars_groups” matlab function)Exp02.zip – max routine used for experiment 2, including executable max file (“START HERE – Experiment02.maxpat”), stimuli folder (“MatStims”), dummy stimuli (“NullStims”) and participant motivating reward pictures (“pictures”)Exp02–Analysis.zip - Archive, containing the raw data (“Exp02data.csv”) as well as the Matlab PT plotting script (“TT-Script.m”) (requires “errorbars_groups” matlab function)Exp03.zip – max routine used for experiment 3, including executable max file (“START HERE – Experiment 3.maxpat”) and included synthesiser- (MIDI) and drum-loops (audio)Exp03–Analysis.zip – Archive, containing the raw rating data (Ratings.csv + MyMixExp03.csv) as well as the Matlab plotting script (exp3rat.m) (requires “errorbars_groups” matlab function)Exp04.zip – max routine used for experiment 4, including executable max file (“START HERE – Experiment 4.maxpat”), synthesiser- (MIDI) and drum-loops (audio) and mix-ranking comparison songsExp 4–Analysis.zip – Archive, containing the raw ranking+FX data (“RatingsExp4.csv”, “MyMixExp04.csv”, “GMSIExp4.csv”, “LongSetExp04.csv”, “longdesc.csv”, “fulldesc.csv”) and the R analysis script (“Exp4.R”)Exp03_04–Songs.zip – Sawtooth-Mix and Expert-Mix examples of the songs featured in experiment 3 and 4GrinDrone.wav – musical piece, focus part of chapter 10, research-led practice&rft.creator=Dobrowohl, Felix &rft.date=2020&rft.relation=http://hdl.handle.net/1959.7/uws:56886&rft.coverage=&rft_rights=Copyright Western Sydney University&rft_rights=CC BY 4.0: Attribution 4.0 International http://creativecommons.org/licenses/by/4.0&rft_subject=Music perception&rft_subject=Music mixing&rft_subject=Timbre&rft.type=dataset&rft.language=English Access the data

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CC BY 4.0: Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0

Copyright Western Sydney University

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Full description

This series of experiments is explicitly focused on listeners’ ability to detect change in timbre or sound, rather than differentiating different sounds or sound identities from one another.

The dataset includes auditory stimuli from the experiments, example sounds of experiment results, R and Matlab code for the utilised data analysis, MaxMSP code for running the experiments and a soundfile for the experimental result of research-led practice.

Available downloads:

  • Exp01.zip – max routine used for experiment 1, including executable max file (“START HERE – Experiment01.maxpat”), stimuli folder (“Stimuli07”), dummy stimuli (“nullstimuli”) and participant motivating reward pictures (“pictures”)
  • Exp01–Analysis.zip – Archive, containing the raw data (“data09.csv”) as well as the Matlab PT plotting script (“means_plot_overall.m”) and musicianship comparison script (“muso_nonmuso.m”) (requires “errorbars_groups” matlab function)
  • Exp02.zip – max routine used for experiment 2, including executable max file (“START HERE – Experiment02.maxpat”), stimuli folder (“MatStims”), dummy stimuli (“NullStims”) and participant motivating reward pictures (“pictures”)
  • Exp02–Analysis.zip - Archive, containing the raw data (“Exp02data.csv”) as well as the Matlab PT plotting script (“TT-Script.m”) (requires “errorbars_groups” matlab function)
  • Exp03.zip – max routine used for experiment 3, including executable max file (“START HERE – Experiment 3.maxpat”) and included synthesiser- (MIDI) and drum-loops (audio)
  • Exp03–Analysis.zip – Archive, containing the raw rating data (Ratings.csv + MyMixExp03.csv) as well as the Matlab plotting script (exp3rat.m) (requires “errorbars_groups” matlab function)
  • Exp04.zip – max routine used for experiment 4, including executable max file (“START HERE – Experiment 4.maxpat”), synthesiser- (MIDI) and drum-loops (audio) and mix-ranking comparison songs
  • Exp 4–Analysis.zip – Archive, containing the raw ranking+FX data (“RatingsExp4.csv”, “MyMixExp04.csv”, “GMSIExp4.csv”, “LongSetExp04.csv”, “longdesc.csv”, “fulldesc.csv”) and the R analysis script (“Exp4.R”)
  • Exp03_04–Songs.zip – Sawtooth-Mix and Expert-Mix examples of the songs featured in experiment 3 and 4
  • GrinDrone.wav – musical piece, focus part of chapter 10, research-led practice

Created: 2020-07-28

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  • Local : research-data.westernsydney.edu.au/published/02b85fd0519411ecb15399911543e199