3377088
doi
10.5281/zenodo.3377088
oai:zenodo.org:3377088
user-tut-arg
user-eu
Archontis Politis
Tampere University, Finland
Tuomas Virtanen
Tampere University, Finland
TAU Spatial Sound Events 2019 - Ambisonic and Microphone Array, Evaluation Datasets
Sharath Adavanne
Tampere University, Finland
info:eu-repo/semantics/openAccess
Other (Non-Commercial)
Ambisonic
Sound event detection
DOA estimation
sound event localization
acoustic event detection
sound event localization and detection
<p>This package consists of two evaluation datasets, <strong>TAU Spatial Sound Events 2019 - Ambisonic</strong> and <strong>TAU Spatial Sound Events 2019 - Microphone Array</strong>. These datasets contain recordings from an identical scene, with <strong>TAU Spatial Sound Events 2019 - Ambisonic</strong> providing four-channel First-Order Ambisonic (FOA) recordings while <strong>TAU Spatial Sound Events 2019 - Microphone Array</strong> provides four-channel directional microphone recordings from a tetrahedral array configuration. Both formats are extracted from the same microphone array. The recordings in the two datasets consist of stationary point sources from multiple sound classes each associated with a temporal onset and offset time, and DOA coordinate represented using azimuth and elevation angle. These evaluation datasets are part of the <a href="https://github.com/sharathadavanne/seld-dcase2019">DCASE 2019 Sound Event Localization and Detection Task</a>. The corresponding development datasets can be downloaded <a href="https://doi.org/10.5281/zenodo.2599196">here</a>.</p>
<p>The IRs were collected in Finland by Tampere University between 12/2017 - 06/2018. The data collection received funding from the European Research Council, grant agreement 637422 EVERYSOUND.</p>
<ul>
<li>The <strong>foa_eval.zip</strong>, correspond to audio data of <strong>TAU Spatial Sound Events 2019 - Ambisonic</strong> evaluation dataset.</li>
<li>The <strong>mic_eval.zip</strong>, correspond to audio data of <strong>TAU Spatial Sound Events 2019 - Microphone Array</strong> evaluation dataset.</li>
</ul>
<p>-- Version 2 updates --</p>
<p>The<a href="http://dcase.community/challenge2019/task-sound-event-localization-and-detection-results"> DCASE 2019 sound event localization and detection task has now ended</a>. Hence we are releasing the reference labels for the evaluation dataset in this version.</p>
<ul>
<li>The <strong><em>metadata_eval.zip</em></strong> is the common metadata for both <strong>TAU Spatial Sound Events 2019 - Ambisonic</strong> and <strong>TAU Spatial Sound Events 2019 - Microphone Array</strong> evaluation datasets. </li>
<li>The <strong>short2longnames.txt</strong> file consists of the corresponding names for each recording in the dataset in the <a href="http://dcase.community/challenge2019/task-sound-event-localization-and-detection#development-dataset">development-set format</a>, i.e., including the information of the impulse response location and the maximum number of overlapping sound events in the recording.</li>
</ul>
<p>Download the zip files corresponding to the dataset of interest and use your favorite compression tool to unzip these split zip files.<br>
</p>
<p> </p>
<p> </p>
Zenodo
2019-05-20
info:eu-repo/semantics/other
3066123
user-tut-arg
user-eu
award_title=Computational Analysis of Everyday Soundscapes; award_number=637422; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/637422; funder_id=00k4n6c32; funder_name=European Commission;
1579893971.103524
1105325422
md5:4a8ca8bfb69d7c154a56a672e3b635d5
https://zenodo.org/records/3377088/files/foa_eval.zip
3584
md5:a474baa501483effcab134fb7b57f15a
https://zenodo.org/records/3377088/files/short2longname.txt
5159
md5:fb064ed6e3cc7a679306b45faf548a8e
https://zenodo.org/records/3377088/files/README.md
906540981
md5:0ec2f743a61213480dae7d0b2f2e6c9d
https://zenodo.org/records/3377088/files/mic_eval.zip
103630
md5:a0ec7640284ade0744dfe299f7ba107b
https://zenodo.org/records/3377088/files/metadata_eval.zip
1721
md5:55ea74faaf9da7b64947b3b1ada19bff
https://zenodo.org/records/3377088/files/LICENSE.md
public
10.5281/zenodo.3066123
isVersionOf
doi