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GFDatabase: A Database of Flute Playing Techniques

<p><em>GFDatabase</em> (Geidai Flute Database)<em> </em>is a collection of recordings for the training of models for the real-time recognition of flute playing techniques.</p> <p>The database includes recordings of two flute players, a professional and a semi-professional. It includes monophonic recordings of isolated pitches of 11 flute playing techniques: <em>aeolian, flatterzunge, key click, multiphonics, ordinario, pizzicato, play and sing, staccato, tongue ram, trill, and whistle tone.</em></p> <p>The professional player was recorded using seven microphones representing different typical studio performance recording sets (see table below) in studio A (a large recording studio) at Geidai, Tokyo University of the Arts. The recording was made using a 96kHz sampling rate and a resolution of 24 bits.</p> <table> <tbody> <tr> <td><strong>Microphone Model</strong></td> <td><strong>Distance from Source (cm)</strong></td> <td><strong>Height (cm)</strong></td> <td><strong>Number of Microphones</strong></td> </tr> <tr> <td>DPA 4099</td> <td>33</td> <td><em>same height as the flutist's head</em></td> <td>1</td> </tr> <tr> <td>DPA 4011</td> <td>80</td> <td><em>same height as the flutist's head</em></td> <td>1</td> </tr> <tr> <td>DPA 4011</td> <td>100</td> <td><em>same height as the flutist's head</em></td> <td>1</td> </tr> <tr> <td>DPA 4006</td> <td>140</td> <td>179</td> <td>2</td> </tr> <tr> <td>DPA 4006&nbsp;</td> <td>458</td> <td>277</td> <td>2</td> </tr> </tbody> </table> <p>The semi-professional player was recorded using two microphones in studio C (a small recording studio) at Geidai, Tokyo University of the Arts. The recording was made using a 48kHz sampling rate and a resolution of 24 bits.</p> <table> <tbody> <tr> <td><strong>Microphone Model</strong></td> <td><strong>Distance from Source (cm)</strong></td> <td><strong>Height (cm)</strong></td> <td><strong>Number of Microphones</strong></td> </tr> <tr> <td>SHURE SM57</td> <td>10</td> <td><em>same height as the flutist's head</em></td> <td>1</td> </tr> <tr> <td>SONY EMC670</td> <td>100</td> <td><em>same height as the flutist's head</em></td> <td>1</td> </tr> </tbody> </table> <p>If you use our recordings in your work, please quote our paper:</p> <blockquote> <p>Nicolas Brochec, Tsubasa Tanaka, Will Howie. <em>Microphone-based Data Augmentation for Automatic Recognition of Instrumental Playing Techniques</em>. International Computer Music Conference (ICMC 2024), Jul 2024, Seoul, South Korea.</p> </blockquote> <p>This research is supported by the European Research Council (ERC) as part of the Raising Co-creativity in Cyber-Human Musicianship (REACH) Project directed by G&eacute;rard Assayag, under the European Union's Horizon 2020 research and innovation program (GA #883313). Funding support for this work was provided by a Japanese Ministry of Education, Culture, Sports, Science and Technology (MEXT) scholarship to Nicolas Brochec.</p>

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36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
12
Reuse readiness
8
Engagement
4

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Dataset details

Repository
zenodo
Published
February 2, 2024
License
cc-by-nc-nd-4.0
DOI
10.5281/zenodo.10612395

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