oai:www.ldc.upenn.edu:LDC2022S14
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OLAC Record oai:www.ldc.upenn.edu:LDC2022S14 |
| Metadata | ||
| Title: | Third DIHARD Challenge Evaluation | |
| Access Rights: | Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining | |
| Bibliographic Citation: | Ryant, Neville, et al. Third DIHARD Challenge Evaluation LDC2022S14. Web Download. Philadelphia: Linguistic Data Consortium, 2022 | |
| Contributor: | Ryant, Neville | |
| Liberman, Mark | ||
| Fiumara, James | ||
| Cieri, Christopher | ||
| Date (W3CDTF): | 2022 | |
| Date Issued (W3CDTF): | 2022-12-15 | |
| Description: | *Introduction* Third DIHARD Challenge Evaluation was developed by the Linguistic Data Consortium (LDC) and contains approximately 33 hours of English and Chinese speech data along with corresponding annotations used in support of the Third DIHARD Challenge. The DIHARD Challenges were a set of shared tasks on diarization focusing on "hard" diarization; that is, speech diarization for challenging corpora where there was an expectation that existing state-of-the-art systems would fare poorly. As with the first and second challenges, the third development and evaluation sets were drawn from a diverse sampling of sources including monologues, map task dialogues, broadcast interviews, sociolinguistic interviews, meeting speech, speech in restaurants, clinical recordings, and amateur web videos. *Data* Data sources in this release are as follows (all sources are in English unless otherwise indicated): * Autism Diagnosis Observation Schedule (ADOS) interviews * Conversations in Restaurants * DCIEM/HCRC map task (LDC96S38) * Digital Archive of Southern Speech (LDC2012S03) * Audiobook recordings from LibriVox * Meeting speech collected by LDC in 2001 for the ROAR project (see, e.g., ISL Meeting Speech Part 1 (LDC2004S05) * 2001 U.S. Supreme Court oral arguments * Mixer 6 Speech (LDC2013S03) * English and Chinese video collected by LDC as part of the Video Annotation for Speech Technologies (VAST) project * YouthPoint radio interviews All audio is provided in the form of 16 kHz, mono-channel FLAC files. The diarization for each recording is stored as a NIST Rich Transcription Time Marked (RTTM) file. RTTM files are space-separated text files containing one turn per line. Segmentation files are stored as HTK label files. Each of these files contains one speech segment per line. Scoring regions for each recording are specific by un-partitioned evaluation map (UEM) files. All annotation file types are encoded as UTF-8. More information about file formats, data sources and domains is contained in the corpus documentation. *Samples* Please view these samples: * Audio Sample (FLAC) * Label Sample (TXT) * RTTM Sample (TXT) *Updates* None at this time. | |
| Extent: | Corpus size: 1752515 KB | |
| Format: | Sampling Rate: 16000 | |
| Sampling Format: pcm | ||
| Identifier: | LDC2022S14 | |
| https://catalog.ldc.upenn.edu/LDC2022S14 | ||
| ISLRN: 805-666-543-566-5 | ||
| DOI: 10.35111/twbt-4y23 | ||
| Language: | Mandarin Chinese | |
| English | ||
| Language (ISO639): | cmn | |
| eng | ||
| License: | LDC User Agreement for Non-Members: https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf | |
| Medium: | Distribution: Web Download | |
| Publisher: | Linguistic Data Consortium | |
| Publisher (URI): | https://www.ldc.upenn.edu | |
| Relation (URI): | https://catalog.ldc.upenn.edu/docs/LDC2022S14 | |
| Rights Holder: | Portions ©1995 Defence and Civil Institute of Environmental Medicine, © 2002 Interactive Systems Laboratories, Carnegie Mellon University, © 2003 SIL International (IPA93 Fonts), © 2011-2018 Google LLC, © 1996, 2001, 2004, 2009-2010, 2012, 2013, 2018, 2019, 2021, 2022 Trustees of the University of Pennsylvania | |
| Type (DCMI): | Sound | |
| Text | ||
| Type (OLAC): | primary_text | |
OLAC Info |
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| Archive: | The LDC Corpus Catalog | |
| Description: | http://www.language-archives.org/archive/www.ldc.upenn.edu | |
| GetRecord: | OAI-PMH request for OLAC format | |
| GetRecord: | Pre-generated XML file | |
OAI Info |
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| OaiIdentifier: | oai:www.ldc.upenn.edu:LDC2022S14 | |
| DateStamp: | 2023-12-05 | |
| GetRecord: | OAI-PMH request for simple DC format | |
Search Info | ||
| Citation: | Ryant, Neville; Liberman, Mark; Fiumara, James; Cieri, Christopher. 2022. Linguistic Data Consortium. | |
| Terms: | area_Asia area_Europe country_CN country_GB dcmi_Sound dcmi_Text iso639_cmn iso639_eng olac_primary_text | |