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"orcid" } ], "name": "Krause, Daniel Aleksander", "type": "personal" } }, { "person_or_org": { "family_name": "Politis", "given_name": "Archontis", "identifiers": [ { "identifier": "0000-0002-0595-2356", "scheme": "orcid" } ], "name": "Politis, Archontis", "type": "personal" } } ], "description": "

DESCRIPTION:

This audio dataset serves serves as supplementary material for the DCASE2024 Challenge Task 3: Audio and Audiovisual Sound Event Localization and Detection with Distance Estimation. The dataset consists of synthetic spatial audio mixtures of sound events spatialized for two different spatial formats using real measured room impulse responses (RIRs) measured in various spaces of Tampere University (TAU). The mixtures are generated using the same process as the one used to generate the recordings of the TAU-NIGENS Spatial Sound Scenes 2021 dataset for the DCASE2021 Challenge Task 3. 

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The SELD task setup in DCASE2024 is based on spatial recordings of real scenes, captured in the STARS23 dataset. Since the task setup allows use of external data, these synthetic mixtures serve as additional training material for the baseline model. For more details on the task setup, please refer to the task description.

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Note that the generator code and the collection of room responses used to spatialize sound samples will be also be made available soon. For more details on the recording of RIRs, spatialization, and generation, see:

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available here.

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SPECIFICATIONS:

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DOWNLOAD INSTRUCTIONS:

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Download the zip files and use your preferred compression tool to unzip these split zip files. To extract a split zip archive (named as zip, z01, z02, ...), you could use, for example, the following syntax in Linux or OSX terminal:

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    \n
  1. Combine the split archive to a single archive:\n
    zip -s 0 split.zip --out single.zip
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    2. \n
  2. Extract the single archive using unzip:\n
    unzip single.zip
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    3. \n
", "publication_date": "2024-04-05", "publisher": "Zenodo", "references": [ { "reference": "Archontis Politis, Sharath Adavanne, Daniel Krause, Antoine Deleforge, Prerak Srivastava, Tuomas Virtanen (2021). A Dataset of Dynamic Reverberant Sound Scenes with Directional Interferers for Sound Event Localization and Detection. In Proceedings of the Detection and Classification of Acoustic Scenes and Events 2020 Workshop (DCASE2021), Barcelona, Spain." } ], "related_identifiers": [ { "identifier": "https://doi.org/10.5281/zenodo.6387880", "relation_type": { "id": "requires", "title": { "de": "Setzt voraus", "en": "Requires" } }, "resource_type": { "id": "dataset", "title": { "de": "Datensatz", "en": "Dataset" } }, "scheme": "other" }, { "identifier": "https://zenodo.org/records/6406873", "relation_type": { "id": "isnewversionof", "title": { "de": "Ist eine neue Version von", "en": "Is new version of" } }, "resource_type": { "id": "dataset", "title": { "de": "Datensatz", "en": "Dataset" } }, "scheme": "other" } ], "resource_type": { "id": "dataset", "title": { "de": "Datensatz", "en": "Dataset" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "subjects": [ { "subject": "sound event detection" }, { "subject": "sound source localization" }, { "subject": "spatial audio" }, { "subject": "Ambisonics" }, { "subject": "microphone array" }, { "subject": "machine listening" }, { "subject": "acoustic scene analysis" }, { "subject": "sound distance estimation" } ], "title": "[DCASE2024 Task 3] Synthetic SELD mixtures for baseline training" }, "parent": { "access": { "owned_by": { "user": "239209" }, "settings": { "accept_conditions_text": null, "allow_guest_requests": false, "allow_user_requests": false, "secret_link_expiration": 0 } }, "communities": {}, "id": "10932240", "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.10932240", "provider": "datacite" } } }, "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.10932241", "provider": "datacite" }, "oai": { "identifier": "oai:zenodo.org:10932241", "provider": "oai" } }, "revision_id": 4, "stats": { "all_versions": { "data_volume": 25701623412332.0, "downloads": 6096, "unique_downloads": 2660, "unique_views": 1578, "views": 1675 }, "this_version": { "data_volume": 25701623412332.0, "downloads": 6096, "unique_downloads": 2660, "unique_views": 1578, "views": 1675 } }, "status": "published", "swh": {}, "updated": "2024-04-06T14:47:44.721214+00:00", "versions": { "index": 1, "is_latest": true } }