OLAC Record
oai:www.ldc.upenn.edu:LDC2021S11

Metadata
Title:Second DIHARD Challenge Development - SEEDLingS
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 - SEEDLingS LDC2021S11. 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 - SEEDLinGS was developed by Duke University and LDC and contains approximately two hours of English child language recordings along with corresponding annotations used in support of the Second DIHARD Challenge. This release, when combined with Second DIHARD Challenge Development - Eleven Sources (LDC2021S10), contains the development set audio data and annotation, except for CHiME-5 audio files, which must be obtained from the University of Sheffield. 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* Source data is from the SEEDLingS (The Study of Environmental Effects on Developing Linguistic Skills) corpus, designed to investigate how infants' early linguistic and environmental input plays a role in their learning. Recordings were generated in the home environment of infants in the Rochester, New York area. A subset of that data was annotated by LDC for use in the First and Second DIHARD Challenges. The data in this release consists of files provided in the Second DIHARD Challenge as well as subsequently updated annotated files not provided to second challenge participants. 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 the file formats and data sources and domains are in the included documentation. *Updates* None at this time.
Extent:Corpus size: 121695 KB
Format:Sampling Rate: 16000
Sampling Format: pcm
Identifier:LDC2021S11
https://catalog.ldc.upenn.edu/LDC2021S11
ISBN: 1-58563-980-X
DOI: 10.35111/b2yg-bz44
Language:English
Language (ISO639):eng
License:Second DIHARD Challenge Development - SEEDLingS Agreement (For-Profit): https://catalog.ldc.upenn.edu/license/second-dihard-challenge-seedlings-agreement-for-profit.pdf
Second DIHARD Challenge Development - SEEDLingS Agreement (Non-Member): https://catalog.ldc.upenn.edu/license/second-dihard-challenge-seedlings-agreement-non-member.pdf
Second DIHARD Challenge Development - SEEDLingS Agreement (Not-For-Profit): https://catalog.ldc.upenn.edu/license/second-dihard-challenge-seedlings-agreement-not-for-profit.pdf
Medium:Distribution: Web Download
Publisher:Linguistic Data Consortium
Publisher (URI):https://www.ldc.upenn.edu
Relation (URI):https://catalog.ldc.upenn.edu/docs/LDC2021S11
Rights Holder:Portions © 2019, 2021 Duke University, © 2019, 2021 Trustees of the University of Pennsylvania
Type (DCMI):Software
Sound
Text
Type (OLAC):primary_text

OLAC Info

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

OaiIdentifier:  oai:www.ldc.upenn.edu:LDC2021S11
DateStamp:  2022-01-01
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Ryant, Neville; Liberman, Mark; Fiumara, James; Cieri, Christopher. 2021. Linguistic Data Consortium.
Terms: area_Europe country_GB dcmi_Software dcmi_Sound dcmi_Text iso639_eng olac_primary_text


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Up-to-date as of: Mon Mar 25 7:21:13 EDT 2024