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9 results for “electronic music”

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zenodo48/100

Perceptions of Diversity in Electronic Music: the Impact of Listener, Artist, and Track Characteristics

<p>Data Release and facsimile of the survey, presented in the&nbsp;submission 3238 to the CSCW 2021 conference.</p> <p>&nbsp;</p>

opencc-by-4.0Jan 2021View details →
zenodo44/100

The User Interface and Functionality Charts of Erkki Kurenniemi's Electronic Musical Instruments (EKIS)

<p>This spreadsheet includes data related to user interface and functionality charts of Erkki Kurenniemi&#39;s electronic musical instruments. Data covers only musical instruments; not studio equipment. The data set produced as a part of the PhD project &quot;User Stories of Erkki Kurenniemi&rsquo;s Electronic Musical Instruments&quot; by the author. The data is visualized with a video published in https://vimeo.com/375784663</p> <p>PI and contact information: Mikko Ojanen / https://orcid.org/0000-0002-7833-9659</p> <p>The outlining of charts is based on previous research on DMIs, e.g. by</p> <p>Birnbaum, D., Fiebrink, R., Malloch, J., &amp; Wanderley, M. M. Towards a dimension space for musical devices. <em>Proceedings of the 2005 Conference on New Interfaces for Musical Expression, </em>192-195.</p> <p>Magnusson, T. An Epistemic Dimension Space for Musical Devices. <em>Proceedings of the 2010 Conference on New Interfaces for Musical Expression, </em>43-46.</p> <p>Wanderley, Mortensen M. 2002. Evaluation of input devices for musical expression: Borrowing tools from HCI.<em> Computer Music Journal, </em><em>26</em>(3), 62-76.</p>

opencc-by-4.0Nov 2019View details →
zenodo44/100

Analyses of the works of art and events related to Erkki Kurenniemi's Electronic Musical Instruments (EKIS)

<p>This speadsheet includes data related to analyses of works of art and events related to the Erkki Kurenniemi&#39;s electronic musical instruments. The data set produced as a part of the PhD project &quot;User Stories of Erkki Kurenniemi&rsquo;s Electronic Musical Instruments&quot; by Mikko Ojanen.</p>

opencc-by-4.0Nov 2020View details →
zenodo44/100

Appearances of Erkki Kurenniemi's Electronic Musical Instruments

<p>The excel spreadsheet includes notes about the appearances of the electronic musical instruments designed by the Finnish electroacoustic music pioneer Erkki Kurenniemi. The spreadsheet will be updated regularly when new information is found and checked. PI and contact information: Mikko Ojanen / https://orcid.org/0000-0002-7833-9659</p>

opencc-by-4.0Aug 2017View details →
zenodo36/100

MFCC Chroma features from "A New Curated Corpus of Historical Electronic Music"

<p>Audio Feature data to accompany the paper&nbsp;</p> <p>(2018) Nick Collins, Peter Manning and Simone Tarsitani "A New Curated Corpus of Historical Electronic Music: Collation, Data and Research Findings" Transactions of the International Society for Music Information Retrieval 1(1): 34-43</p> <p>https://transactions.ismir.net/articles/10.5334/tismir.5</p>

opencc-by-4.0Nov 2024View details →
ClinicalTrials.gov32/100

Inhaled Isopropyl Alcohol Versus Placebo to Manage Nausea at Electronic Dance Music Festivals

ClinicalTrials.gov study NCT04307550. IPD Sharing: NO. Countries: 1. Publications: 3.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Electronic Health Mindfulness-based Music Therapy Intervention for Patients Undergoing Allogeneic Stem Cell Transplantation

ClinicalTrials.gov study NCT05968963. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
zenodo28/100

mshoxxDB - a Versioned Dataset for Electronic Music

<p><strong>Description:</strong> Version 1(.1) consists of 18 full-length pieces of music in the genre of Electronic Music, totaling 61 minutes of audio. The dataset spans a number of sub-genres of Electronic Music: Video Game, 8-Bit (Chiptune), EDM, Pop, House, Chillout/Dreamy. The dataset is suited for a variety of tasks in the field of Music Information Retrieval (MIR), such as Source Separation, Multi-Pitch Estimation, Beat Detection, Tempo Estimation. It is particularly interesting for instrument-agnostic methods and evaluations of model generalization due to the wide variety of synthetic and traditional timbres.</p> <p><strong>Contents:</strong><br>- mixtures and multi-tracks in FLAC format (44.1 kHz, 16-Bit, Mono, compression level 6)<br>- track-wise MIDI files<br>- CSV metadata with genre, tempo, time signature, and artist information</p> <p><strong>Technical Properties:</strong> Not all mixtures are exact sums of their respective multi-tracks. The mixtures may contain additional processing in the form of limiters and compression (on the full mix or side-chain compression from one track to another).&nbsp;<strong><em>No harmonic effects were added onto the mixtures</em></strong> (= effects such as reverbs, echos, and delays that add more harmonic information and would result in mismatches between MIDI and audio).</p> <p><strong>License:</strong> All contents distributed under Creative Commons BY-NC-SA 4.0.</p> <p><strong>Demo Page:</strong>&nbsp;For a few listening examples, please visit this dataset's github page at <a href="https://mic-tae.github.io/mshoxxdb/">https://mic-tae.github.io/mshoxxdb/</a>.</p> <p><strong>Repo: </strong>The mshoxxDB repo is located at&nbsp;<a href="https://github.com/mic-tae/mshoxxdb">https://github.com/mic-tae/mshoxxdb</a>, and may contain more up-to-date information (README.md).</p> <p><strong>Citation:</strong> Should you use this dataset in your work, please cite it the following way (bibtex):</p> <blockquote> <p>@misc {taenzer:mshoxxDB:2024,<br>&nbsp; author = {Taenzer, Michael},<br>&nbsp; title = {{mshoxxDB - a Versioned Dataset for Electronic Music}},<br>&nbsp; booktitle = {{Late-Breaking and Demo Session of the 25th International Conference on Music Information Retrieval (ISMIR)}},<br>&nbsp; address = {{San Francisco, CA, USA}},<br>&nbsp; year = {2024},<br>}</p> </blockquote> <p><strong>Version 1.1 (16 July 2025)</strong><br>- all files now reflect main DB version number v1 (previous numbers were personal track session numbers)<br>- removed umlaut from G&uuml;te --&gt; Guete<br>- added ms12 and ms14 dataset splits (json files), a license and readme file</p>

opencc-by-nc-sa-4.0Aug 2024View details →
ClinicalTrials.gov24/100

Effect of SPG Block for Patients With Anxiety at Electronic Dance Music Festivals

ClinicalTrials.gov study NCT05729503. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →

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