OLAC Record

Title:Second DIHARD Challenge Development - Eleven Sources
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. Second DIHARD Challenge Development - Eleven Sources LDC2021S10. Web Download. Philadelphia: Linguistic Data Consortium, 2021
Contributor:Ryant, Neville
Liberman, Mark
Fiumara, James
Cieri, Christopher
Date (W3CDTF):2021
Date Issued (W3CDTF):2021-11-15
Description:*Introduction* Second DIHARD Challenge Development - Eleven Sources was developed by LDC and contains approximately 22 hours of English and Chinese speech data along with corresponding annotations used in support of the Second DIHARD Challenge. The DIHARD Challenges are 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 challenge, the second 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, extended child language acquisition recordings, and YouTube videos. *Data* This release, when combined with Second DIHARD Challenge Development - SEEDLingS (LDC2021S11), contains the development set audio data and annotation, except for CHiME-5 audio files, which must be obtained from the University of Sheffield. Data sources used in this release are as follows (all sources are in English unless otherwise indicated): * Autism Diagnosis Observation Schedule (ADOS) interviews * CHiME-5 dinner party recordings (annotations only in this release) * Conversations in Restaurants * DCIEM/HCRC map task (LDC96S38) * Audiobook recordings from LibriVox * Meeting speech from 2004 Spring NIST Rich Transcription (RT-04S) Development (LDC2007S11) and Evaluation (LDC2007S12) releases * 2001 U.S. Supreme Court oral arguments * Sociolinguistic interviews from SLX Corpus of Classic Sociolinguistic Interviews (LDC2003T15) * 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, 16-bit, 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 included documentation. *Samples* Please view these samples: * Audio Sample (FLAC) * Label Sample (TXT) * RTTM Sample (TXT) *Updates* None at this time.
Extent:Corpus size: 1330834 KB
Format:Sampling Rate: 16000
Sampling Format: pcm
ISBN: 1-58563-979-6
ISLRN: 415-952-625-445-8
DOI: 10.35111/4baw-5y14
Language:Mandarin Chinese
Language (ISO639):cmn
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/LDC2021S10
Rights Holder:Portions © 1995 Defence and Civil Institute of Environmental Medicine, © 2002 Interactive Systems Laboratories, Carnegie Mellon University, © 2000-2001 International Computer Science Institute, © SIL International (IPA93 Fonts), © 2011-2018 YouTube, LLC, © 1996, 2001, 2003, 2004, 2007, 2009-2010, 2013, 2018, 2019, 2021 Trustees of the University of Pennsylvania
Type (DCMI):Software
Type (OLAC):primary_text


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DateStamp:  2022-01-01
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Citation: Ryant, Neville; Liberman, Mark; Fiumara, James; Cieri, Christopher. 2021. Linguistic Data Consortium.
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