2024-03-19T08:39:10Z
https://zenodo.org/oai2d
oai:zenodo.org:4733202
2021-05-03T09:57:52Z
user-trompa
user-eu
David M. Weigl
Werner Goebl
2021-05-02
<p>6 Variations, WoO 70 by Ludwig van Beethoven, encoding of Breitkopf und Härtel edition, 1862–90. Plate B.168.</p>
https://doi.org/10.5281/zenodo.4733202
oai:zenodo.org:4733202
Zenodo
https://github.com/trompamusic-encodings/Beethoven_WoO70_BreitkopfHaertel/tree/v1.0
https://zenodo.org/communities/trompa
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.4733201
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
MEI encoding: 6 Variations on "Nel cor più non mi sento" (WoO 70) by Ludwig van Beethoven
info:eu-repo/semantics/other
oai:zenodo.org:4730614
2021-04-30T16:01:55Z
user-trompa
user-eu
David M. Weigl
Werner Goebl
2021-04-30
<p>Two Rondos, Opus 51 No.1 and Opus 51 No. 2 by Ludwig van Beethoven, encoding of Breitkopf und Härtel edition, 1862–90. Plates B.185 and B.186.</p>
https://doi.org/10.5281/zenodo.4730614
oai:zenodo.org:4730614
Zenodo
https://github.com/trompamusic-encodings/Beethoven_Op51_BreitkopfHaertel/tree/v1.0
https://zenodo.org/communities/trompa
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.4730613
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
MEI encoding: Two Rondos (Opus 51 No.1 and Opus 51 No.2) by Ludwig van Beethoven
info:eu-repo/semantics/other
oai:zenodo.org:4733679
2021-05-04T07:31:54Z
user-trompa
user-eu
David M. Weigl
Werner Goebl
2021-05-03
<p>Romanze in a-Moll, WoO 28, by Clara Schumann, encoding of Autograph, 1853.</p>
https://doi.org/10.5281/zenodo.4733679
oai:zenodo.org:4733679
Zenodo
https://github.com/trompamusic-encodings/Schumann-Clara_Romanze-in-a-Moll/tree/v1.0
https://zenodo.org/communities/trompa
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.4733678
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
MEI encoding: Romanze in a-Moll (WoO 28) by Clara Schumann
info:eu-repo/semantics/other
oai:zenodo.org:4730610
2021-04-30T20:14:36Z
user-trompa
user-eu
David M. Weigl
Werner Goebl
2021-04-30
<p>Eroica Variations, Opus 35 by Ludwig van Beethoven, encoding of Breitkopf und Härtel edition, 1862–90. Plate B.163.</p>
https://doi.org/10.5281/zenodo.4730610
oai:zenodo.org:4730610
Zenodo
https://github.com/trompamusic-encodings/Beethoven_Op35_BreitkopfHaertel/tree/v1.0
https://zenodo.org/communities/trompa
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.4730609
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
MEI encoding: Eroica Variations, Opus 35 by Ludwig van Beethoven
info:eu-repo/semantics/other
oai:zenodo.org:4733195
2021-05-03T09:57:52Z
user-trompa
user-eu
David M. Weigl
Werner Goebl
2021-05-02
<p>9 Variations, WoO 69 by Ludwig van Beethoven, encoding of Breitkopf und Härtel edition, 1862–90. Plate B.167.</p>
https://doi.org/10.5281/zenodo.4733195
oai:zenodo.org:4733195
Zenodo
https://github.com/trompamusic-encodings/Beethoven_WoO69_BreitkopfHaertel/tree/v1.0
https://zenodo.org/communities/trompa
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.4733194
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
MEI encoding: 9 Variations on "Quanto è bello l'amor contadino" (WoO 69) by Ludwig van Beethoven
info:eu-repo/semantics/other
oai:zenodo.org:4733158
2021-05-04T07:31:52Z
user-trompa
software
user-eu
Werner Goebl
2021-05-02
11 Bagatelles, Opus 119 by Ludwig van Beethoven, encoding of Breitkopf und Härtel edition, 1862–90. Plate B.189.
https://doi.org/10.5281/zenodo.4733158
oai:zenodo.org:4733158
Zenodo
https://github.com/trompamusic-encodings/Beethoven_Op119_BreitkopfHaertel/tree/v1.0
https://zenodo.org/communities/trompa
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.4733157
info:eu-repo/semantics/openAccess
Other (Open)
trompamusic-encodings/Beethoven_Op119_BreitkopfHaertel:
info:eu-repo/semantics/other
oai:zenodo.org:1286487
2020-01-24T19:25:06Z
user-mtgupf
user-mdm-dtic-upf
user-trompa
openaire_data
Helena Cuesta
Emilia Gómez
Agustín Martorell
Felipe Loáiciga
2018-06-10
<p><strong>Choral Singing Dataset</strong></p>
<p>This dataset was presented at the 15th ICMPC/10th ESCOM conference together with the paper: </p>
<p>Cuesta, H., Gómez, E., Martorell, A., Loáiciga, F. (2018). <em>Analysis of Intonation in Unison Choir Singing</em>. In <em>Proceedings of the 15th International Conference on Music Perception and Cognition.</em></p>
<p>It contains the individual audio recordings of 16 singers of the Anton Bruckner Choir from Barcelona (Spain) performing 3 different pieces <em>a cappella, </em>together with their associated MIDI files.</p>
<p>Singers were recorded in groups of four (4 singers per choir section), with individual close microphones with cardioid polar pattern for directivity purposes. The performance was virtually conducted by the conductor of the choir through a video, which was displayed in all the recording sessions for synchronization purposes. Singers also had the possibility to hear a piano reference (through headphones) for tuning purposes.</p>
<p>Three pieces were selected based on the choir repertoire and on the specific needs of the study, which were basically related to the language of the lyrics. These are the pieces we chose:</p>
<ul>
<li><em>Locus Iste</em>, written by Anton Bruckner (Latin).</li>
<li><em>Niño Dios</em>, written by Francisco Guerrero (Spanish).</li>
<li><em>El Rossinyol</em>, popular Catalan song.</li>
</ul>
<p>Overall, this dataset contains, for each of these pieces, the tracks of each individual singer (16 singers), together with the synchronized MIDI files of each choir section. Having the individual tracks also allows researchers to create the unison mix for each section, as well as the whole choir performance. The dataset covers the frequency range between 87 Hz and 783 Hz and is especially dense between 150 and 450 Hz. The notes have durations that range between 0.15 and 6.21 seconds, with an average of 0.84 seconds. </p>
<p>If using this data in your research, please cite the aforemetioned paper. For any question or comment, please contact the first author.</p>
<p>The dataset is compressed into a zip file. After decompression, data is organized in folders (one folder for each piece).</p>
<p> </p>
https://doi.org/10.5281/zenodo.1286487
oai:zenodo.org:1286487
eng
Zenodo
https://zenodo.org/communities/trompa
https://zenodo.org/communities/mtgupf
https://zenodo.org/communities/mdm-dtic-upf
https://doi.org/10.5281/zenodo.1286485
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
ICMPC, 15th International Conference on Music Perception and Cognition
choir
singing
pitch
unison
vocals
choral music
icmpc
Choral Singing Dataset
info:eu-repo/semantics/other
oai:zenodo.org:2554044
2020-04-02T13:07:56Z
user-mtgupf
user-mdm-dtic-upf
user-trompa
openaire_data
user-eu
Bogdanov, Dmitry
Porter, Alastair
Urbano, Julián
Schreiber, Hendrik
2018-10-29
<p><strong>This dataset contains AllMusic ground-truth genre annotations and is complementary to the rest of the AcousticBrainz Genre datasets distributed at <a href="https://zenodo.org/record/2553414">https://zenodo.org/record/2553414</a>.</strong></p>
<p>The MediaEval AcousticBrainz Genre datasets are datasets of genre annotations and music features extracted from audio suited for evaluation of hierarchical multi-label genre classification systems.</p>
<p>The datasets are used within the <a href="https://multimediaeval.github.io/2018-AcousticBrainz-Genre-Task/">MediaEval AcousticBrainz Genre Task</a>. The task is focused on content-based music genre recognition using genre annotations from multiple sources and large-scale music features data available in the <a href="https://acousticbrainz.org/">AcousticBrainz</a> database. The goal of our task is to explore how the same music pieces can be annotated differently by different communities following different genre taxonomies, and how this should be addressed by content-based genre recognition systems.</p>
<p>We provide four datasets containing genre and subgenre annotations extracted from four different online metadata sources:</p>
<ul>
<li>
<p><strong>AllMusic</strong> and <strong>Discogs</strong> are based on editorial metadata databases maintained by music experts and enthusiasts. These sources contain explicit genre/subgenre annotations of music releases (albums) following a predefined genre namespace and taxonomy. We propagated release-level annotations to recordings (tracks) in AcousticBrainz to build the datasets.</p>
</li>
<li>
<p><strong>Lastfm</strong> and <strong>Tagtraum</strong> are based on collaborative music tagging platforms with large amounts of genre labels provided by their users for music recordings (tracks). We have automatically inferred a genre/subgenre taxonomy and annotations from these labels.</p>
</li>
</ul>
<p>For details on format and contents, please refer to the <a href="https://multimediaeval.github.io/2018-AcousticBrainz-Genre-Task/data/">data webpage</a>.</p>
<p> </p>
<p><strong>Citation</strong></p>
<p>If you use the MediaEval AcousticBrainz Genre dataset or part of it, please cite our <a href="http://mtg.upf.edu/node/3960">ISMIR 2019 overview paper</a>:</p>
<pre><code>Bogdanov, D., Porter A., Schreiber H., Urbano J., & Oramas S. (2019).
The AcousticBrainz Genre Dataset: Multi-Source, Multi-Level, Multi-Label, and Large-Scale.
20th International Society for Music Information Retrieval Conference (ISMIR 2019).</code></pre>
<p><strong>Acknowledgements</strong></p>
<p>This work is partially supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 688382 <a href="https://www.audiocommons.org/">AudioCommons</a>.</p>
https://doi.org/10.5281/zenodo.2554044
oai:zenodo.org:2554044
Zenodo
https://hdl.handle.net/10230/35744
https://doi.org/10.5281/zenodo.2553414
https://zenodo.org/communities/trompa
https://zenodo.org/communities/mtgupf
https://zenodo.org/communities/eu
https://zenodo.org/communities/mdm-dtic-upf
https://doi.org/10.5281/zenodo.2554043
info:eu-repo/semantics/restrictedAccess
MediaEval 2018 Workshop, Sophia Antipolis, France, 29 October 2018
music information retrieval
AcousticBrainz
MediaEval
music genre recognition
audio tagging
music classification
MediaEval AcousticBrainz Genre AllMusic
info:eu-repo/semantics/other
oai:zenodo.org:3546227
2019-11-19T09:23:58Z
user-trompa
user-eu
Gomez, Emilia
Holzapfel, Andre
Miron, Marius
Sturm, Bob L.
2019-11-04
<p>This tutorial focuses on the timely issues of ethics, fairness, accountability and transparency, with particular attention paid to research in applications in music information research. These topics arise from a broader consideration of ethics in the field – related work of which was recently published in TISMIR (<a href="https://transactions.ismir.net/articles/10.5334/tismir.13">https://transactions.ismir.net/articles/10.5334/tismir.13</a>). These topics are also receiving attention in the broader domain of machine learning and data science, e.g., the FAT-Machine Learning (ML) conference 2014-2018, Explainable AI workshops 2017-2018, Interpretable Machine Learning workshops, and in the context of the HUMAINT project and winter school on ethical, legal, social and economic impact of Artificial Intelligence (<a href="https://ec.europa.eu/jrc/communities/en/community/humaint">https://ec.europa.eu/jrc/communities/en/community/humaint</a>). This tutorial is suitable for researchers and students in MIR working in any domain, as these issues are relevant for all MIR tasks, from low- to high-level, from system to user-centered research. There are no prerequisites for taking this tutorial.</p>
https://doi.org/10.5281/zenodo.3546227
oai:zenodo.org:3546227
eng
Zenodo
https://zenodo.org/communities/trompa
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.3546226
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
ISMIR, 20th annual conference of the International Society for Music Information Retrieval, Delft, The Netherlands, 4-8 November 2019
music information retrieval
ethics
fairness, accountability and transparency of machine learning
human behaviour
artificial intelligence
computational creativity
Fairness, Accountability and Transparency in Music Information Research (FAT-MIR)
info:eu-repo/semantics/lecture
oai:zenodo.org:4733204
2021-05-03T09:57:44Z
user-trompa
user-eu
David M. Weigl
Werner Goebl
2021-05-02
<p>12 Variations on the Russian Dance 'Das Waldmädchen', WoO 71 by Ludwig van Beethoven, encoding of Breitkopf und Härtel edition, 1862–90. Plate B.170.</p>
https://doi.org/10.5281/zenodo.4733204
oai:zenodo.org:4733204
Zenodo
https://github.com/trompamusic-encodings/Beethoven_WoO71_BreitkopfHaertel/tree/v1.0
https://zenodo.org/communities/trompa
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.4733203
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
MEI encoding: 12 Variations on the Russian Dance from "Das Waldmädchen" (WoO 71) by Ludwig van Beethoven
info:eu-repo/semantics/other
oai:zenodo.org:4730608
2021-05-03T14:38:57Z
user-trompa
user-eu
David M. Weigl
Werner Goebl
2021-04-30
<p>Sieben Bagatellen, Opus 33 by Ludwig van Beethoven, encoding of Breitkopf und Härtel edition, 1862–90. Plate B.183.</p>
https://doi.org/10.5281/zenodo.4730608
oai:zenodo.org:4730608
Zenodo
https://github.com/trompamusic-encodings/Beethoven_Op33_BreitkopfHaertel/tree/v1.0
https://zenodo.org/communities/trompa
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.4730607
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
MEI encoding: Sieben Bagatellen, Opus 33 by Ludwig van Beethoven
info:eu-repo/semantics/other
oai:zenodo.org:4730702
2021-04-30T20:14:34Z
user-trompa
user-eu
David M. Weigl
Werner Goebl
2021-04-30
<p>Phantasie, Opus 77 by Ludwig van Beethoven, encoding of Breitkopf und Härtel edition, 1862–90. Plate B.187.</p>
https://doi.org/10.5281/zenodo.4730702
oai:zenodo.org:4730702
Zenodo
https://github.com/trompamusic-encodings/Beethoven_Op77_BreitkopfHaertel/tree/v1.0
https://zenodo.org/communities/trompa
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.4730701
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
MEI encoding: Phantasie (Opus 77) by Ludwig van Beethoven
info:eu-repo/semantics/other
oai:zenodo.org:4733210
2021-05-03T09:57:43Z
user-trompa
user-eu
David M. Weigl
Werner Goebl
2021-05-02
<p>Variations in c minor, WoO 80 by Ludwig van Beethoven, encoding of Breitkopf und Härtel edition, 1862–90. Plate B.181.</p>
https://doi.org/10.5281/zenodo.4733210
oai:zenodo.org:4733210
Zenodo
https://github.com/trompamusic-encodings/Beethoven_WoO80_BreitkopfHaertel/tree/v1.0
https://zenodo.org/communities/trompa
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.4733209
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
MEI encoding: 32 Variations in c minor (WoO 80) by Ludwig van Beethoven
info:eu-repo/semantics/other
oai:zenodo.org:4733179
2021-05-03T14:33:05Z
user-trompa
user-eu
David M. Weigl
Werner Goebl
2021-05-02
<p>Rondo a Capriccio in G major, Op. 129 by Ludwig van Beethoven, encoding of Breitkopf und Härtel edition, 1862–90. Series 18 Plate B.191.</p>
https://doi.org/10.5281/zenodo.4733179
oai:zenodo.org:4733179
Zenodo
https://github.com/trompamusic-encodings/Beethoven_Op129_BreitkopfHaertel/tree/v1.0
https://zenodo.org/communities/trompa
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.4733178
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
MEI encoding: Rondo a Capriccio in G major, Op. 129 by Ludwig van Beethoven
info:eu-repo/semantics/other
oai:zenodo.org:4735563
2021-05-31T09:59:37Z
user-trompa
user-eu
David M. Weigl
Werner Goebl
2021-05-03
<p>Clavierstück "Für Elise", WoO 59 by Ludwig van Beethoven, encoding of Breitkopf und Härtel edition, 1862–90. Plate B.298.</p>
https://doi.org/10.5281/zenodo.4735563
oai:zenodo.org:4735563
Zenodo
https://github.com/trompamusic-encodings/Beethoven_WoO59_BreitkopfHaertel/tree/v1.0
https://zenodo.org/communities/trompa
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.4735562
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
MEI encoding: Clavierstück "Für Elise" (WoO 59) by Ludwig van Beethoven
info:eu-repo/semantics/other
oai:zenodo.org:4733683
2021-05-10T14:44:34Z
user-trompa
user-eu
Tim Crawford
2021-05-03
<p>Symphony No. 4 by Gustav Mahler, encoding of 4-hands arrangement by Josef V. Wöss, Ludwig Doblinger Edition, Plate 33, 1902.</p>
https://doi.org/10.5281/zenodo.4733683
oai:zenodo.org:4733683
Zenodo
https://github.com/trompamusic-encodings/Mahler_Symphony_No4_Doblinger-4hands/tree/v1.0
https://zenodo.org/communities/trompa
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.4733682
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
MEI encoding of the first 111 measures of Symphony No. 4 by Gustav Mahler
info:eu-repo/semantics/other
oai:zenodo.org:4733719
2021-05-04T07:31:52Z
user-trompa
user-eu
David M. Weigl
Werner Goebl
2021-05-03
<p>11 Bagatelles, Opus 119 by Ludwig van Beethoven, encoding of Breitkopf und Härtel edition, 1862–90. Plate B.189.</p>
https://doi.org/10.5281/zenodo.4733719
oai:zenodo.org:4733719
Zenodo
https://github.com/trompamusic-encodings/Beethoven_Op119_BreitkopfHaertel/tree/v1.3
https://zenodo.org/communities/trompa
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.4733157
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
MEI encoding: 11 Bagatelles (Opus 119) by Ludwig van Beethoven
info:eu-repo/semantics/other
oai:zenodo.org:4733214
2021-05-03T09:57:43Z
user-trompa
user-eu
David M. Weigl
Werner Goebl
2021-05-02
<p>Two Sonatinas for Piano, WoO Anh.5 by Ludwig van Beethoven, encoding of Breitkop und Härtel edition, 1862–90. Plate B.160 and B.161.</p>
https://doi.org/10.5281/zenodo.4733214
oai:zenodo.org:4733214
Zenodo
https://github.com/trompamusic-encodings/Beethoven_WoOAnh5_BreitkopfHaertel/tree/v1.0
https://zenodo.org/communities/trompa
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.4733213
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
MEI encoding: Two Sonatinas for Piano (WoO Anh. 5 No 1 and WoO Anh. 5 No 2) by Ludwig van Beethoven
info:eu-repo/semantics/other
oai:zenodo.org:4607867
2021-03-18T16:41:19Z
user-mtgupf
user-mdm-dtic-upf
user-trompa
openaire_data
user-audiolabs
user-eu
Rosenzweig, Sebastian
Cuesta, Helena
Weiß, Christof
Scherbaum, Frank
Gómez, Emilia
Müller, Meinard
2021-03-16
<p>Dagstuhl ChoirSet is a multitrack dataset of a cappella choral music designed to support MIR research on choral singing. The dataset includes recordings of an amateur vocal ensemble performing two choir pieces in full choir and quartet settings. The audio data was recorded during an MIR seminar at Schloss Dagstuhl using different close-up microphones to capture the individual singers’ voices.</p>
<p>A detailed documentation of this dataset can be found in:</p>
<p>Sebastian Rosenzweig, Helena Cuesta, Christof Weiß, Frank Scherbaum, Emilia Gómez, and Meinard Müller:<br>
<strong>Dagstuhl ChoirSet: A Multitrack Dataset for MIR Research on Choral Singing</strong>.<br>
Transactions of the International Society for Music Information Retrieval, 3(1), pp. 98–110, 2020.<br>
DOI: https://doi.org/10.5334/tismir.48</p>
<p> </p>
https://doi.org/10.5281/zenodo.4607867
oai:zenodo.org:4607867
eng
Zenodo
https://doi.org/10.5334/tismir.48
https://zenodo.org/communities/trompa
https://zenodo.org/communities/audiolabs
https://zenodo.org/communities/mtgupf
https://zenodo.org/communities/eu
https://zenodo.org/communities/mdm-dtic-upf
https://doi.org/10.5281/zenodo.3897181
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Transactions of the International Society for Music Information Retrieval, (2021-03-16)
Dagstuhl ChoirSet
Choral Music
Multitrack Recording
Choral Singing Analysis
F0
Dagstuhl ChoirSet
info:eu-repo/semantics/other
oai:zenodo.org:4607766
2021-03-18T16:41:19Z
user-mtgupf
user-mdm-dtic-upf
user-trompa
openaire_data
user-audiolabs
user-eu
Rosenzweig, Sebastian
Cuesta, Helena
Weiß, Christof
Scherbaum, Frank
Gómez, Emilia
Müller, Meinard
2021-03-16
<p>Dagstuhl ChoirSet is a multitrack dataset of a cappella choral music designed to support MIR research on choral singing. The dataset includes recordings of an amateur vocal ensemble performing two choir pieces in full choir and quartet settings. The audio data was recorded during an MIR seminar at Schloss Dagstuhl using different close-up microphones to capture the individual singers’ voices.</p>
<p>A detailed documentation of this dataset can be found in:</p>
<p>Sebastian Rosenzweig, Helena Cuesta, Christof Weiß, Frank Scherbaum, Emilia Gómez, and Meinard Müller:<br>
<strong>Dagstuhl ChoirSet: A Multitrack Dataset for MIR Research on Choral Singing</strong>.<br>
Transactions of the International Society for Music Information Retrieval, 3(1), pp. 98–110, 2020.<br>
DOI: https://doi.org/10.5334/tismir.48</p>
<p> </p>
https://doi.org/10.5281/zenodo.4607766
oai:zenodo.org:4607766
eng
Zenodo
https://doi.org/10.5334/tismir.48
https://zenodo.org/communities/trompa
https://zenodo.org/communities/audiolabs
https://zenodo.org/communities/mtgupf
https://zenodo.org/communities/eu
https://zenodo.org/communities/mdm-dtic-upf
https://doi.org/10.5281/zenodo.3897181
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Transactions of the International Society for Music Information Retrieval, (2021-03-16)
Dagstuhl ChoirSet
Choral Music
Multitrack Recording
Choral Singing Analysis
F0
Dagstuhl ChoirSet
info:eu-repo/semantics/other
oai:zenodo.org:4608395
2021-03-18T16:41:20Z
user-mtgupf
user-mdm-dtic-upf
user-trompa
openaire_data
user-audiolabs
user-eu
Rosenzweig, Sebastian
Cuesta, Helena
Weiß, Christof
Scherbaum, Frank
Gómez, Emilia
Müller, Meinard
2021-03-16
<p>Dagstuhl ChoirSet is a multitrack dataset of a cappella choral music designed to support MIR research on choral singing. The dataset includes recordings of an amateur vocal ensemble performing two choir pieces in full choir and quartet settings. The audio data was recorded during an MIR seminar at Schloss Dagstuhl using different close-up microphones to capture the individual singers’ voices.</p>
<p>A detailed documentation of this dataset can be found in:</p>
<p>Sebastian Rosenzweig, Helena Cuesta, Christof Weiß, Frank Scherbaum, Emilia Gómez, and Meinard Müller:<br>
<strong>Dagstuhl ChoirSet: A Multitrack Dataset for MIR Research on Choral Singing</strong>.<br>
Transactions of the International Society for Music Information Retrieval, 3(1), pp. 98–110, 2020.<br>
DOI: https://doi.org/10.5334/tismir.48</p>
<p> </p>
https://doi.org/10.5281/zenodo.4608395
oai:zenodo.org:4608395
eng
Zenodo
https://doi.org/10.5334/tismir.48
https://zenodo.org/communities/trompa
https://zenodo.org/communities/audiolabs
https://zenodo.org/communities/mtgupf
https://zenodo.org/communities/eu
https://zenodo.org/communities/mdm-dtic-upf
https://doi.org/10.5281/zenodo.3897181
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Transactions of the International Society for Music Information Retrieval, (2021-03-16)
Dagstuhl ChoirSet
Choral Music
Multitrack Recording
Choral Singing Analysis
F0
Dagstuhl ChoirSet
info:eu-repo/semantics/other
oai:zenodo.org:4733675
2021-06-16T10:41:52Z
user-trompa
David M. Weigl
Werner Goebl
2021-05-03
<p>Six Variations, Opus 34 by Ludwig van Beethoven, encoding of Breitkopf und Härtel edition, 1862–90. Plate B.162.</p>
https://doi.org/10.5281/zenodo.4733675
oai:zenodo.org:4733675
Zenodo
https://github.com/trompamusic-encodings/Beethoven_Op34_BreitkopfHaertel/tree/v1.0
https://zenodo.org/communities/trompa
https://doi.org/10.5281/zenodo.4733674
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
MEI encoding: Sechs Variationen in F-Dur (Opus 34) by Ludwig van Beethoven
info:eu-repo/semantics/other
oai:zenodo.org:4733165
2021-05-04T07:31:52Z
user-trompa
software
user-eu
Werner Goebl
David M. Weigl
2021-05-02
11 Bagatelles, Opus 119 by Ludwig van Beethoven, encoding of Breitkopf und Härtel edition, 1862–90. Plate B.189.
https://doi.org/10.5281/zenodo.4733165
oai:zenodo.org:4733165
Zenodo
https://github.com/trompamusic-encodings/Beethoven_Op119_BreitkopfHaertel/tree/v0.9
https://zenodo.org/communities/trompa
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.4733157
info:eu-repo/semantics/openAccess
Other (Open)
trompamusic-encodings/Beethoven_Op119_BreitkopfHaertel:
info:eu-repo/semantics/other
oai:zenodo.org:4735570
2021-05-31T09:59:36Z
user-trompa
user-eu
David M. Weigl
Werner Goebl
2021-05-03
<p>Sonate Op. 28 by Ludwig van Beethoven, encoding of Henle Urtext edition, 1976, Plate HN1032.</p>
https://doi.org/10.5281/zenodo.4735570
oai:zenodo.org:4735570
Zenodo
https://github.com/trompamusic-encodings/Beethoven_Op28_HenleUrtext/tree/v1.0
https://zenodo.org/communities/trompa
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.4735569
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
MEI encoding of the third movement of the Sonata for Piano (Opus 28) by Ludwig van Beethoven
info:eu-repo/semantics/other
oai:zenodo.org:4735574
2021-05-31T09:59:35Z
user-trompa
user-eu
David M. Weigl
Werner Goebl
2021-05-03
<p>Sonata Op. 31 No. 2 by Ludwig van Beethoven, encoding of Henle Urtext edition, 1976, Plate HN1034</p>
https://doi.org/10.5281/zenodo.4735574
oai:zenodo.org:4735574
Zenodo
https://github.com/trompamusic-encodings/Beethoven_Op31_No2_HenleUrtext/tree/v1.0
https://zenodo.org/communities/trompa
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.4735573
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
MEI encoding of the second movement of the Sonata for Piano (Opus 31 No. 2) by Ludwig van Beethoven
info:eu-repo/semantics/other
oai:zenodo.org:4964875
2021-06-16T13:48:21Z
user-trompa
software
user-eu
Werner Goebl
David M. Weigl
2021-06-16
<p>Encodings of all variations are now corrected and checked.</p>
https://doi.org/10.5281/zenodo.4964875
oai:zenodo.org:4964875
Zenodo
https://github.com/trompamusic-encodings/Beethoven_Op34_BreitkopfHaertel/tree/v1.1
https://zenodo.org/communities/trompa
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.4733674
info:eu-repo/semantics/openAccess
Other (Open)
trompamusic-encodings/Beethoven_Op34_BreitkopfHaertel: Fully corrected encoding
info:eu-repo/semantics/other
oai:zenodo.org:4733177
2021-05-04T07:31:55Z
user-trompa
user-eu
David M. Weigl
Werner Goebl
2021-05-02
<p>6 Bagatelles, Opus 126 by Ludwig van Beethoven, encoding of Breitkopf und Härtel edition, 1862–90. Plate B.190, with corrections from holograph manuscript</p>
https://doi.org/10.5281/zenodo.4733177
oai:zenodo.org:4733177
Zenodo
https://github.com/trompamusic-encodings/Beethoven_Op126_BreitkopfHaertel/tree/v1.0
https://zenodo.org/communities/trompa
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.4733176
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
MEI encoding: 6 Bagatelles (Opus 126) by Ludwig van Beethoven
info:eu-repo/semantics/other
oai:zenodo.org:4733237
2021-05-03T09:57:42Z
user-trompa
user-eu
David M. Weigl
Werner Goebl
2021-05-02
<p>Sonata Op. 31 No. 3 by Ludwig van Beethoven, encoding of Henle Urtext edition, 1976, Plate HN1034</p>
https://doi.org/10.5281/zenodo.4733237
oai:zenodo.org:4733237
Zenodo
https://github.com/trompamusic-encodings/Beethoven_Op31_No3_HenleUrtext/tree/v1.1
https://zenodo.org/communities/trompa
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.4733236
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
MEI encoding: Sonata for Piano (Opus 31 No. 3) by Ludwig van Beethoven
info:eu-repo/semantics/other
oai:zenodo.org:4733181
2021-05-03T09:57:53Z
user-trompa
user-eu
David M. Weigl
Werner Goebl
2021-05-02
<p>Andante favori in F major, WoO 57 by Ludwig van Beethoven, encoding of Breitkopf und Härtel edition, 1862–90. Plate B.192.</p>
https://doi.org/10.5281/zenodo.4733181
oai:zenodo.org:4733181
Zenodo
https://github.com/trompamusic-encodings/Beethoven_WoO57_BreitkopfHaertel/tree/v1.0
https://zenodo.org/communities/trompa
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.4733180
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
MEI encoding: Andante favori (WoO 57) by Ludwig van Beethoven
info:eu-repo/semantics/other
oai:zenodo.org:4733723
2021-05-04T07:31:52Z
user-trompa
user-eu
David M. Weigl
Werner Goebl
2021-05-03
<p>Six variations on a Swiss song, WoO64 by Ludwig van Beethoven, encoding of Breitkopf und Härtel edition, 1862–90. Plate B.177.</p>
https://doi.org/10.5281/zenodo.4733723
oai:zenodo.org:4733723
Zenodo
https://github.com/trompamusic-encodings/Beethoven_WoO64_BreitkopfHaertel/tree/v1.1
https://zenodo.org/communities/trompa
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.4733722
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
MEI encoding: Sechs leichte Variationen über ein Schweizerlied (WoO 64) by Ludwig van Beethoven
info:eu-repo/semantics/other
oai:zenodo.org:4730715
2021-05-03T09:57:59Z
user-trompa
user-eu
David M. Weigl
Werner Goebl
2021-04-30
<p>Polonaise, Opus 89 by Ludwig van Beethoven, encoding of Breitkopf und Härtel edition, 1862–90. Plate B.188.</p>
https://doi.org/10.5281/zenodo.4730715
oai:zenodo.org:4730715
Zenodo
https://github.com/trompamusic-encodings/Beethoven_Op89_BreitkopfHaertel/tree/v1.0
https://zenodo.org/communities/trompa
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.4730714
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
MEI encoding: Polonaise (Opus 89) by Ludwig van Beethoven, Breitkopf und Härtel edition, 1862–90. Plate B.188.
info:eu-repo/semantics/other
oai:zenodo.org:4730626
2021-04-30T20:14:36Z
user-trompa
user-eu
David M. Weigl
Werner Goebl
2021-04-30
<p>Sonata Op. 53 by Ludwig van Beethoven, encoding of Henle Urtext edition, 1976, Plate HN1034</p>
https://doi.org/10.5281/zenodo.4730626
oai:zenodo.org:4730626
Zenodo
https://github.com/trompamusic-encodings/Beethoven_Op53_HenleUrtext/tree/v1.0
https://zenodo.org/communities/trompa
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.4730625
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
MEI encoding: Sonata for Piano (Opus 53) by Ludwig van Beethoven
info:eu-repo/semantics/other
oai:zenodo.org:4733189
2021-05-03T09:57:52Z
user-trompa
user-eu
David M. Weigl
Werner Goebl
2021-05-02
<p>24 Variations on 'Vieni Amore' by Vincenzo Righini, WoO 65 by Ludwig van Beethoven, encoding of Breitkopf und Härtel edition, 1862–90. Plate B.178.</p>
https://doi.org/10.5281/zenodo.4733189
oai:zenodo.org:4733189
Zenodo
https://github.com/trompamusic-encodings/Beethoven_WoO65_BreitkopfHaertel/tree/v1.0
https://zenodo.org/communities/trompa
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.4733188
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
MEI encoding: 24 Variations on 'Vieni Amore' by Vincenzo Righini (WoO 65) by Ludwig van Beethoven
info:eu-repo/semantics/other
oai:zenodo.org:4726637
2021-04-30T01:48:23Z
user-trompa
openaire_data
Liem, Cynthia C. S.
2020-10-06
<p>This folder contains links found in the <a href="https://www.delpher.nl/">Delpher</a> newspaper portal, for queries of names of composers that:</p>
<ul>
<li>
<p>are known in the catalogue of <a href="https://www.muziekweb.nl/">CDR/Muziekweb</a>;</p>
</li>
<li>
<p>are known to have a <a href="https://www.wikidata.org">Wikidata</a> ID;</p>
</li>
<li>
<p>are known to have sheet music entries in the <a href="https://www.imslp.org">Petrucci Music Library (IMSLP)</a>.</p>
</li>
</ul>
<p> </p>
<p>The links are offered in *.csv format.</p>
<p>For each article, we include:</p>
<ul>
<li>
<p>the Delpher article permalink;</p>
</li>
<li>
<p>where available, the article appearance date, in the format ‘yyyymmdd’;</p>
</li>
<li>
<p>where available, the article type, employing the Dutch article class namings as used in Delpher:</p>
<ul>
<li>
<p>‘artikel’ for newspaper articles;</p>
</li>
<li>
<p>‘advertentie’ for advertisements;</p>
</li>
<li>
<p>‘familiebericht’ for family announcements;</p>
</li>
<li>
<p>‘Illustratie met onderschrift’ for illustrations with captions.</p>
</li>
</ul>
</li>
<li>
<p>The (possible composer) name occurring in this article, in standardized Wikidata name spelling;</p>
</li>
<li>
<p>the Wikidata ID of the composer with this name.</p>
</li>
</ul>
<p> </p>
<p>We used the standardized Wikidata name spelling as plain text queries to Delpher’s API. As a consequence, this list may be over-complete, as names may not only belong to a composer, but also (partially) to other persons with the same name (e.g. Martin Luther vs. Martin Luther King). The date and article type of the article may give useful information for further post-processing and filtering of this information.</p>
<p> </p>
<p>The Delpher collection, CDR/Muziekweb, Wikidata, and the IMSLP are all living collections, to which more content is added regularly. The current dataset reflects the status of October 1, 2020.</p>
https://doi.org/10.5281/zenodo.4726637
oai:zenodo.org:4726637
Zenodo
https://zenodo.org/communities/trompa
https://doi.org/10.5281/zenodo.4726636
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Composer name cross-links across resources: Delpher, CDR/Muziekweb, Wikidata, and the IMSLP
info:eu-repo/semantics/other
oai:zenodo.org:2553414
2020-03-19T13:25:45Z
user-mtgupf
user-mdm-dtic-upf
user-trompa
openaire_data
user-eu
Bogdanov, Dmitry
Porter, Alastair
Urbano, Julián
Schreiber, Hendrik
2018-10-29
<p>The <a href="https://mtg.github.io/acousticbrainz-genre-dataset/">AcousticBrainz Genre Dataset</a> consists of four datasets of genre annotations and music features extracted from audio suited for evaluation of hierarchical multi-label genre classification systems.</p>
<p>The datasets are used within the <a href="https://multimediaeval.github.io/2018-AcousticBrainz-Genre-Task/">MediaEval AcousticBrainz Genre Task</a>. The task is focused on content-based music<br>
genre recognition using genre annotations from multiple sources and large-scale music features data available in the <a href="https://acousticbrainz.org/">AcousticBrainz</a> database. The goal of our task is to explore how the same music pieces can be annotated differently by different communities following different genre taxonomies, and how this should be addressed by content-based genre recognition systems.</p>
<p>We provide four datasets containing genre and subgenre annotations extracted from four different online metadata sources:</p>
<ul>
<li>
<p><strong>AllMusic</strong> and <strong>Discogs</strong> are based on editorial metadata databases maintained by music experts and enthusiasts. These sources contain explicit genre/subgenre annotations of music releases (albums) following a predefined genre namespace and taxonomy. We propagated release-level annotations to recordings (tracks) in AcousticBrainz to build the datasets.</p>
</li>
<li>
<p><strong>Lastfm</strong> and <strong>Tagtraum</strong> are based on collaborative music tagging platforms with large amounts of genre labels provided by their users for music recordings (tracks). We have automatically inferred a genre/subgenre taxonomy and annotations from these labels.</p>
</li>
</ul>
<p>For details on format and contents, please refer to the <a href="https://mtg.github.io/acousticbrainz-genre-dataset/data/">data webpage</a>.</p>
<p>Note, that the AllMusic ground-truth annotations are distributed separately at <a href="https://zenodo.org/record/2554044">https://zenodo.org/record/2554044</a>.</p>
<p> </p>
<p><strong>Citation</strong></p>
<p>If you use the MediaEval AcousticBrainz Genre dataset or part of it, please cite our <a href="http://mtg.upf.edu/node/3960">ISMIR 2019 overview paper</a>:</p>
<pre><code>Bogdanov, D., Porter A., Schreiber H., Urbano J., & Oramas S. (2019).
The AcousticBrainz Genre Dataset: Multi-Source, Multi-Level, Multi-Label, and Large-Scale.
20th International Society for Music Information Retrieval Conference (ISMIR 2019).</code></pre>
<p> </p>
<p><strong>Acknowledgements</strong></p>
<p>This work is partially supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 688382 <a href="https://www.audiocommons.org/">AudioCommons</a>.</p>
<p> </p>
https://doi.org/10.5281/zenodo.2553414
oai:zenodo.org:2553414
Zenodo
https://hdl.handle.net/10230/35744
https://zenodo.org/communities/trompa
https://zenodo.org/communities/mtgupf
https://zenodo.org/communities/eu
https://zenodo.org/communities/mdm-dtic-upf
https://doi.org/10.5281/zenodo.2553413
info:eu-repo/semantics/openAccess
Creative Commons Attribution Non Commercial Share Alike 4.0 International
https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
MediaEval 2018 Workshop, Sophia Antipolis, France, 29 October 2018
music information retrieval
AcousticBrainz
MediaEval
music genre recognition
audio tagging
music classification
MediaEval AcousticBrainz Genre
info:eu-repo/semantics/other
oai:zenodo.org:3956666
2021-03-18T16:41:18Z
user-mtgupf
user-mdm-dtic-upf
user-trompa
openaire_data
user-audiolabs
user-eu
Rosenzweig, Sebastian
Cuesta, Helena
Weiß, Christof
Scherbaum, Frank
Gómez, Emilia
Müller, Meinard
2020-07-23
<p>Dagstuhl ChoirSet is a multitrack dataset of a cappella choral music designed to support MIR research on choral singing. The dataset includes recordings of an amateur vocal ensemble performing two choir pieces in full choir and quartet settings. The audio data was recorded during an MIR seminar at Schloss Dagstuhl using different close-up microphones to capture the individual singers’ voices.</p>
<p>A detailed documentation of this dataset can be found in:</p>
<p>Sebastian Rosenzweig, Helena Cuesta, Christof Weiß, Frank Scherbaum, Emilia Gómez, and Meinard Müller:<br>
<strong>Dagstuhl ChoirSet: A Multitrack Dataset for MIR Research on Choral Singing</strong>.<br>
Transactions of the International Society for Music Information Retrieval, 3(1), pp. 98–110, 2020.<br>
DOI: https://doi.org/10.5334/tismir.48</p>
<p> </p>
https://doi.org/10.5281/zenodo.3956666
oai:zenodo.org:3956666
eng
Zenodo
https://doi.org/10.5334/tismir.48
https://zenodo.org/communities/trompa
https://zenodo.org/communities/audiolabs
https://zenodo.org/communities/mtgupf
https://zenodo.org/communities/eu
https://zenodo.org/communities/mdm-dtic-upf
https://doi.org/10.5281/zenodo.3897181
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Transactions of the International Society for Music Information Retrieval, (2020-07-23)
Dagstuhl ChoirSet
Choral Music
Multitrack Recording
Choral Singing Analysis
F0
Dagstuhl ChoirSet
info:eu-repo/semantics/other
oai:zenodo.org:1286486
2020-01-24T19:25:07Z
user-mtgupf
user-mdm-dtic-upf
user-trompa
openaire_data
Helena Cuesta
Emilia Gómez
Agustín Martorell
Felipe Loáiciga
2018-06-10
<p><strong>Choral Singing Dataset</strong></p>
<p>This dataset was presented at the 15th ICMPC/10th ESCOM conference together with the paper: </p>
<p>Cuesta, H., Gómez, E., Martorell, A., Loáiciga, F. (2018). <em>Analysis of Intonation in Unison Choir Singing</em>. In <em>Proceedings of the 15th International Conference on Music Perception and Cognition.</em></p>
<p>It contains the individual audio recordings of 16 singers of the Anton Bruckner Choir from Barcelona (Spain) performing 3 different pieces <em>a cappella, </em>together with their associated MIDI files.</p>
<p>Singers were recorded in groups of four (4 singers per choir section), with individual close microphones with cardioid polar pattern for directivity purposes. The performance was virtually conducted by the conductor of the choir through a video, which was displayed in all the recording sessions for synchronization purposes. Singers also had the possibility to hear a piano reference (through headphones) for tuning purposes.</p>
<p>Three pieces were selected based on the choir repertoire and on the specific needs of the study, which were basically related to the language of the lyrics. These are the pieces we chose:</p>
<ul>
<li><em>Locus Iste</em>, written by Anton Bruckner (Latin).</li>
<li><em>Niño Dios</em>, written by Francisco Guerrero (Spanish).</li>
<li><em>El Rossinyol</em>, popular Catalan song.</li>
</ul>
<p>Overall, this dataset contains, for each of these pieces, the tracks of each individual singer (16 singers), together with the synchronized MIDI files of each choir section. Having the individual tracks also allows researchers to create the unison mix for each section, as well as the whole choir performance. The dataset covers the frequency range between 87 Hz and 783 Hz and is especially dense between 150 and 450 Hz. The notes have durations that range between 0.15 and 6.21 seconds, with an average of 0.84 seconds. </p>
<p>If using this data in your research, please cite the aforemetioned paper. For any question or comment, please contact the first author.</p>
<p>The dataset is compressed into a zip file. After decompression, data is organized in folders (one folder for each piece).</p>
<p> </p>
https://doi.org/10.5281/zenodo.1286486
oai:zenodo.org:1286486
eng
Zenodo
https://zenodo.org/communities/trompa
https://zenodo.org/communities/mtgupf
https://zenodo.org/communities/mdm-dtic-upf
https://doi.org/10.5281/zenodo.1286485
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
ICMPC, 15th International Conference on Music Perception and Cognition
choir
singing
pitch
unison
vocals
choral music
icmpc
Choral Singing Dataset
info:eu-repo/semantics/other
oai:zenodo.org:1286570
2020-01-24T19:25:06Z
user-mtgupf
user-mdm-dtic-upf
user-trompa
openaire_data
Helena Cuesta
Emilia Gómez
Agustín Martorell
Felipe Loáiciga
2018-06-10
<p><strong>Choral Singing Dataset</strong></p>
<p>This dataset was presented at the 15th ICMPC/10th ESCOM conference together with the paper: </p>
<p>Cuesta, H., Gómez, E., Martorell, A., Loáiciga, F. (2018). <em>Analysis of Intonation in Unison Choir Singing</em>. In <em>Proceedings of the 15th International Conference on Music Perception and Cognition.</em></p>
<p>It contains the individual audio recordings of 16 singers of the Anton Bruckner Choir from Barcelona (Spain) performing 3 different pieces <em>a cappella, </em>together with their associated MIDI files.</p>
<p>Singers were recorded in groups of four (4 singers per choir section), with individual close microphones with cardioid polar pattern for directivity purposes. The performance was virtually conducted by the conductor of the choir through a video, which was displayed in all the recording sessions for synchronization purposes. Singers also had the possibility to hear a piano reference (through headphones) for tuning purposes.</p>
<p>Three pieces were selected based on the choir repertoire and on the specific needs of the study, which were basically related to the language of the lyrics. These are the pieces we chose:</p>
<ul>
<li><em>Locus Iste</em>, written by Anton Bruckner (Latin).</li>
<li><em>Niño Dios</em>, written by Francisco Guerrero (Spanish).</li>
<li><em>El Rossinyol</em>, popular Catalan song.</li>
</ul>
<p>Overall, this dataset contains, for each of these pieces, the tracks of each individual singer (16 singers), together with the synchronized MIDI files of each choir section. Having the individual tracks also allows researchers to create the unison mix for each section, as well as the whole choir performance. The dataset covers the frequency range between 87 Hz and 783 Hz and is especially dense between 150 and 450 Hz. The notes have durations that range between 0.15 and 6.21 seconds, with an average of 0.84 seconds. </p>
<p>If using this data in your research, please cite the aforementioned paper. For any question or comment, please contact the first author.</p>
<p>The dataset is compressed into a zip file. After decompression, data is organized in folders (one folder for each piece).</p>
<p> </p>
https://doi.org/10.5281/zenodo.1286570
oai:zenodo.org:1286570
eng
Zenodo
https://zenodo.org/communities/trompa
https://zenodo.org/communities/mtgupf
https://zenodo.org/communities/mdm-dtic-upf
https://doi.org/10.5281/zenodo.1286485
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
ICMPC, 15th International Conference on Music Perception and Cognition
choir
singing
pitch
unison
vocals
choral music
icmpc
Choral Singing Dataset
info:eu-repo/semantics/other
oai:zenodo.org:1319597
2020-01-24T19:25:06Z
user-mtgupf
user-mdm-dtic-upf
user-trompa
openaire_data
Helena Cuesta
Emilia Gómez
Agustín Martorell
Felipe Loáiciga
2018-06-10
<p><strong>Choral Singing Dataset</strong></p>
<p>This dataset was presented at the 15th ICMPC/10th ESCOM conference together with the paper: </p>
<p>Cuesta, H., Gómez, E., Martorell, A., Loáiciga, F. (2018). <em>Analysis of Intonation in Unison Choir Singing</em>. In <em>Proceedings of the 15th International Conference on Music Perception and Cognition.</em></p>
<p>It contains the individual audio recordings of 16 singers of the Anton Bruckner Choir from Barcelona (Spain) performing 3 different pieces <em>a cappella, </em>together with their associated MIDI files.</p>
<p>Singers were recorded in groups of four (4 singers per choir section), with individual close microphones with cardioid polar pattern for directivity purposes. The performance was virtually conducted by the conductor of the choir through a video, which was displayed in all the recording sessions for synchronization purposes. Singers also had the possibility to hear a piano reference (through headphones) for tuning purposes.</p>
<p>Three pieces were selected based on the choir repertoire and on the specific needs of the study, which were basically related to the language of the lyrics. These are the pieces we chose:</p>
<ul>
<li><em>Locus Iste</em>, written by Anton Bruckner (Latin).</li>
<li><em>Niño Dios</em>, written by Francisco Guerrero (Spanish).</li>
<li><em>El Rossinyol</em>, popular Catalan song.</li>
</ul>
<p>Overall, this dataset contains, for each of these pieces, the tracks of each individual singer (16 singers), together with the synchronized MIDI files of each choir section. Having the individual tracks also allows researchers to create the unison mix for each section, as well as the whole choir performance. The dataset covers the frequency range between 87 Hz and 783 Hz and is especially dense between 150 and 450 Hz. The notes have durations that range between 0.15 and 6.21 seconds, with an average of 0.84 seconds. </p>
<p>If using this data in your research, please cite the aforementioned paper, which is also available for download. For any question or comment, please contact the first author.</p>
<p>The dataset is compressed into a zip file. After decompression, data is organized in folders (one folder for each piece).</p>
https://doi.org/10.5281/zenodo.1319597
oai:zenodo.org:1319597
eng
Zenodo
https://zenodo.org/communities/trompa
https://zenodo.org/communities/mtgupf
https://zenodo.org/communities/mdm-dtic-upf
https://doi.org/10.5281/zenodo.1286485
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
ICMPC, 15th International Conference on Music Perception and Cognition
choir
singing
pitch
unison
vocals
choral music
icmpc
Choral Singing Dataset
info:eu-repo/semantics/other
oai:zenodo.org:3897182
2021-03-18T16:41:18Z
user-mtgupf
user-mdm-dtic-upf
user-trompa
openaire_data
user-audiolabs
user-eu
Rosenzweig, Sebastian
Cuesta, Helena
Weiß, Christof
Scherbaum, Frank
Gómez, Emilia
Müller, Meinard
2020-07-22
<p>Dagstuhl ChoirSet is a multitrack dataset of a cappella choral music designed to support MIR research on choral singing. The dataset includes recordings of an amateur vocal ensemble performing two choir pieces in full choir and quartet settings. The audio data was recorded during an MIR seminar at Schloss Dagstuhl using different close-up microphones to capture the individual singers’ voices.</p>
<p>A detailed documentation of this dataset can be found in:</p>
<p>Sebastian Rosenzweig, Helena Cuesta, Christof Weiß, Frank Scherbaum, Emilia Gómez, and Meinard Müller:<br>
<strong>Dagstuhl ChoirSet: A Multitrack Dataset for MIR Research on Choral Singing</strong>.<br>
Transactions of the International Society for Music Information Retrieval, X(X), pp. 1–13, 2020.<br>
DOI: https://doi.org/10.5334/tismir.48</p>
<p> </p>
https://doi.org/10.5281/zenodo.3897182
oai:zenodo.org:3897182
eng
Zenodo
https://doi.org/10.5334/tismir.48
https://zenodo.org/communities/trompa
https://zenodo.org/communities/audiolabs
https://zenodo.org/communities/mtgupf
https://zenodo.org/communities/eu
https://zenodo.org/communities/mdm-dtic-upf
https://doi.org/10.5281/zenodo.3897181
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Transactions of the International Society for Music Information Retrieval, (2020-07-22)
Dagstuhl ChoirSet
Choral Music
Multitrack Recording
Choral Singing Analysis
F0
Dagstuhl ChoirSet
info:eu-repo/semantics/other
oai:zenodo.org:4618287
2021-03-19T00:27:12Z
user-mtgupf
user-mdm-dtic-upf
user-trompa
openaire_data
user-audiolabs
user-eu
Rosenzweig, Sebastian
Cuesta, Helena
Weiß, Christof
Scherbaum, Frank
Gómez, Emilia
Müller, Meinard
2021-03-18
<p>Dagstuhl ChoirSet is a multitrack dataset of a cappella choral music designed to support MIR research on choral singing. The dataset includes recordings of an amateur vocal ensemble performing two choir pieces in full choir and quartet settings. The audio data was recorded during an MIR seminar at Schloss Dagstuhl using different close-up microphones to capture the individual singers’ voices.</p>
<p>A detailed documentation of this dataset can be found in:</p>
<p>Sebastian Rosenzweig, Helena Cuesta, Christof Weiß, Frank Scherbaum, Emilia Gómez, and Meinard Müller:<br>
<strong>Dagstuhl ChoirSet: A Multitrack Dataset for MIR Research on Choral Singing</strong>.<br>
Transactions of the International Society for Music Information Retrieval, 3(1), pp. 98–110, 2020.<br>
DOI: https://doi.org/10.5334/tismir.48</p>
<p> </p>
https://doi.org/10.5281/zenodo.4618287
oai:zenodo.org:4618287
eng
Zenodo
https://doi.org/10.5334/tismir.48
https://zenodo.org/communities/trompa
https://zenodo.org/communities/audiolabs
https://zenodo.org/communities/mtgupf
https://zenodo.org/communities/eu
https://zenodo.org/communities/mdm-dtic-upf
https://doi.org/10.5281/zenodo.3897181
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Transactions of the International Society for Music Information Retrieval, (2021-03-18)
Dagstuhl ChoirSet
Choral Music
Multitrack Recording
Choral Singing Analysis
F0
Dagstuhl ChoirSet
info:eu-repo/semantics/other
oai:zenodo.org:2649950
2020-01-24T19:25:07Z
user-mtgupf
user-mdm-dtic-upf
user-trompa
openaire_data
Helena Cuesta
Emilia Gómez
Agustín Martorell
Felipe Loáiciga
2019-04-24
<p><strong>Choral Singing Dataset</strong></p>
<p>This dataset was presented at the 15th ICMPC/10th ESCOM conference together with the paper: </p>
<p>Cuesta, H., Gómez, E., Martorell, A., Loáiciga, F. (2018). <em>Analysis of Intonation in Unison Choir Singing</em>. In <em>Proceedings of the 15th International Conference on Music Perception and Cognition.</em></p>
<p>It contains the individual audio recordings of 16 singers of the Anton Bruckner Choir from Barcelona (Spain) performing 3 different pieces <em>a cappella, </em>together with their associated MIDI files.</p>
<p>Singers were recorded in groups of four (4 singers per choir section), with individual close microphones with cardioid polar pattern for directivity purposes. The performance was virtually conducted by the conductor of the choir through a video, which was displayed in all the recording sessions for synchronization purposes. Singers also had the possibility to hear a piano reference (through headphones) for tuning purposes.</p>
<p>Three pieces were selected based on the choir repertoire and on the specific needs of the study, which were basically related to the language of the lyrics. These are the pieces we chose:</p>
<ul>
<li><em>Locus Iste</em>, written by Anton Bruckner (Latin).</li>
<li><em>Niño Dios</em>, written by Francisco Guerrero (Spanish).</li>
<li><em>El Rossinyol</em>, popular Catalan song.</li>
</ul>
<p>Overall, this dataset contains, for each of these pieces, the tracks of each individual singer (16 singers), together with frame-wise f0 annotations, and note annotations and semi-synchronized MIDI files for each choir section.</p>
<p>Having the individual tracks also allows researchers to create the unison mix for each section, as well as the whole choir performance.</p>
<p>The dataset covers the frequency range between 87 Hz and 783 Hz and is especially dense between 150 and 450 Hz. The notes have durations that range between 0.15 and 6.21 seconds, with an average of 0.84 seconds. </p>
<p>If using this data in your research, please cite the aforementioned paper, which is also available for download. For any question or comment, please contact the first author.</p>
<p>The dataset is compressed into a zip file. In the decompressed folder there is a README file with all the information regarding the annotation files and the filenames.</p>
https://doi.org/10.5281/zenodo.2649950
oai:zenodo.org:2649950
eng
Zenodo
https://zenodo.org/communities/trompa
https://zenodo.org/communities/mtgupf
https://zenodo.org/communities/mdm-dtic-upf
https://doi.org/10.5281/zenodo.1286485
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
ICMPC, 15th International Conference on Music Perception and Cognition
choir
singing
pitch
unison
vocals
choral music
icmpc
Choral Singing Dataset
info:eu-repo/semantics/other