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Evaluation plan for the first of the DIHARD challenges.
", "languages": [ { "id": "eng", "title": { "en": "English" } } ], "publication_date": "2018-03-15", "publisher": "Zenodo", "resource_type": { "id": "publication-technicalnote", "title": { "de": "Technical Note", "en": "Technical note" } }, "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": "speech recognition" }, { "subject": "speaker diarization" }, { "subject": "speech" }, { "subject": "diarization" }, { "subject": "ASR" } ], "title": "First DIHARD Challenge Evaluation Plan", "version": "v1.2" }, "parent": { "access": { "owned_by": { "user": 41324 } }, "communities": { "default": "3975c3e8-2298-4878-ac39-56603150f86b", "entries": [ { "access": { "member_policy": "open", "members_visibility": "public", "record_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2018-01-16T11:30:08.259456+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "3975c3e8-2298-4878-ac39-56603150f86b", "links": {}, "metadata": { "curation_policy": "Available from http://coml.lscp.ens.fr/dihard/submission.html
\r\n", "page": "Speaker diarization is the task of determining "who spoke when" in a multispeaker environment and is an essential component of many speech recognition tasks processing large volumes of data (e.g., police body cam recordings, large corpora of meetings). While the state-of-the-art diarization methods work remarkably well on the cases that have been considered thus far (e.g., CallHome or two-person callcenter communications), this success does not transfer to more challenging corpora such as "speech in the wild" (YouTube videos, recordings from wearables, etc). DIHARD is the first of a series of challenges aiming to break this last barrier.
", "title": "The First DIHARD Speech Diarization Challenge" }, "revision_id": 0, "slug": "dihard2018", "updated": "2018-03-07T10:25:32.713719+00:00" } ], "ids": [ "3975c3e8-2298-4878-ac39-56603150f86b" ] }, "id": "1199633", "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.1199633", "provider": "datacite" } } }, "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.1199637", "provider": "datacite" }, "oai": { "identifier": "oai:zenodo.org:1199637", "provider": "oai" } }, "revision_id": 7, "stats": { "all_versions": { "data_volume": 159441912.0, "downloads": 647, "unique_downloads": 616, "unique_views": 550, "views": 586 }, "this_version": { "data_volume": 62807520.0, "downloads": 258, "unique_downloads": 250, "unique_views": 36, "views": 36 } }, "status": "published", "updated": "2020-01-20T16:48:41.353175+00:00", "versions": { "index": 2, "is_latest": false } }