Mdb-Stem-Synth
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MDB-stem-synth<br>
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MDB-stem-synth (c) by Justin Salamon, Rachel Bittner, Jordi Bonada, Juan Jose Bosch, Emilia Gómez and Juan Pablo Bello.<br>
MDB-stem-synth is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). <br>
You should have received a copy of the license along with this work. If not, see http://creativecommons.org/licenses/by-nc/4.0/
<br>
Created By<br>
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Justin Salamon*, Rachel Bittner*, Jordi Bonada^, Juan Jose Bosch^, Emilia Gómez^ and Juan Pablo Bello*.<br>
* Music and Audio Research Lab (MARL), New York University, USA<br>
^ Music Technology Group, Universitat Pompeu Fabra, Spain<br>
http://synthdatasets.weebly.com/<br>
http://steinhardt.nyu.edu/marl/<br>
https://www.upf.edu/web/mtg
Version 1.0.0
<br>
Description<br>
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MDB-stem-synth contains 230 solo stems (tracks) from the MedleyDB dataset (http://medleydb.weebly.com/) spanning a <br>
variety of musical instruments and voices, which have been resynthesized to obtain a perfect f0 annotation using the <br>
analysis/synthesis method described in the following publication:
J. Salamon, R. M. Bittner, J. Bonada, J. J. Bosch, E. Gómez, and J. P. Bello. "An analysis/synthesis framework for <br>
automatic f0 annotation of multitrack datasets". In 18th Int. Soc. for Music Info. Retrieval Conf., Suzhou, China, <br>
Oct. 2017.
This dataset includes:<br>
* 230 mono wav files containing the resynthesized solo stem (track) from a variety of instruments and voices<br>
* 230 csv files containing a perfect f0 annotation of the stem (track) obtained via the analysis/synthesis method <br>
described in the paper
The data come in two folders, the contents of which is described below.
<br>
audio_stems<br>
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Contains 230 mono wav files of the resynthesized solo stems (tracks), spanning a variety of musical instruments and <br>
voices. The resynthesized stems are obtained via the analysis/synthesis method described in the paper.
Naming convention: <br>
<artist>_<songtitle>_STEM_<stemID>.RESYN.wav
Example: <br>
AClassicEducation_NightOwl_STEM_01.RESYN.wav
<br>
annotation_stems<br>
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Contains 230 csv files containing a perfect f0 annotation of the stems (tracks) obtained via the analysis/synthesis <br>
method described in the paper.
Format:<br>
Each file contains two comma-separated columns, the first containing timestamps and the second containing the stem <br>
f0 in Hz. The first frame in the annotation is zero-centered. Silence is indicated as 0 Hz. The hop size of the <br>
annotation is 128/44100 seconds (~2.9 ms).
Naming convention:<br>
<artist>_<songtitle>_STEM_<stemID>.RESYN.csv
Example:<br>
AClassicEducation_NightOwl_STEM_01.RESYN.csv
<br>
Please Acknowledge MDB-stem-synth in Academic Research<br>
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Please cite the following publication when using MDB-stem-synth:
J. Salamon, R. M. Bittner, J. Bonada, J. J. Bosch, E. Gómez, and J. P. Bello. "An analysis/synthesis framework for <br>
automatic f0 annotation of multitrack datasets". In 18th Int. Soc. for Music Info. Retrieval Conf., Suzhou, China, <br>
Oct. 2017.
For information about the original MedleyDB dataset please see (and cite):
R. M. Bittner, J. Salamon, M. Tierney, M. Mauch, C. Cannam, and J. P. Bello. MedleyDB: A multitrack dataset for <br>
annotation-intensive MIR research. In 15th Int. Soc. for Music Info. Retrieval Conf., pages 155–160, Taipei, Taiwan, <br>
Oct. 2014.
<br>
Conditions of Use<br>
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Dataset created by Justin Salamon, Rachel Bittner, Jordi Bonada, Juan Jose Bosch, Emilia Gómez and Juan Pablo Bello. <br>
<br>
The MDB-stem-synth dataset is offered free of charge under the terms of the Creative Commons<br>
Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0): http://creativecommons.org/licenses/by-nc/4.0/<br>
<br>
The dataset and its contents are made available on an "as is" basis and without warranties of any kind, including <br>
without limitation satisfactory quality and conformity, merchantability, fitness for a particular purpose, accuracy or <br>
completeness, or absence of errors. Subject to any liability that may not be excluded or limited by law, NYU is not <br>
liable for, and expressly excludes, all liability for loss or damage however and whenever caused to anyone by any use of <br>
the MDB-stem-synth dataset or any part of it.
<br>
Feedback<br>
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Please help us improve MDB-stem-synth by sending your feedback to: justin.salamon@gmail.com<br>
In case of a problem report please include as many details as possible.<br>
提供机构:
Zenodo创建时间:
2018-11-08



