OLAC Record
oai:www.ldc.upenn.edu:LDC2019S13

Metadata
Title:First DIHARD Challenge Evaluation - 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. First DIHARD Challenge Evaluation - SEEDLingS LDC2019S13. Web Download. Philadelphia: Linguistic Data Consortium, 2019
Contributor:Ryant, Neville
Liberman, Mark
Fiumara, James
Cieri, Christopher
Date (W3CDTF):2019
Date Issued (W3CDTF):2019-07-15
Description:*Introduction* First DIHARD Challenge Evaluation - SEEDLingS was developed by Duke University and the Linguistic Data Consortium (LDC) and contains approximately two hours of English child language recordings along with corresponding annotations used in support of the First DIHARD Challenge. The First DIHARD Challenge was an attempt to reinvigorate work on diarization through a shared task 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 such, it included speech from a wide sampling of domains representing diversity in number of speakers, speaker demographics, interaction style, recording quality, and environmental conditions, including, but not limited to: clinical interviews, extended child language acquisition recordings, YouTube recordings, and conversations collected in restaurants. *Data* The source data was drawn from 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 DIHARD Challenge. This release, when combined with First DIHARD Challenge Evaluation - Nine Sources (LDC2019S12), contains the evaluation set audio data and annotation as well as the official scoring tool. The development data for the First DIHARD Challenge is also available from LDC as Eight Sources (LDC2019S09) and SEEDLingS (LDC2019S10). 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. Both of the annotation file types are encoded as UTF-8. More information about the file formats is provided in the included documentation. *Updates* None at this time.
Extent:Corpus size: 122536 KB
Format:Sampling Rate: 16000
Sampling Format: pcm
Identifier:LDC2019S13
https://catalog.ldc.upenn.edu/LDC2019S13
ISBN: 1-58563-888-9
ISLRN: 096-549-178-318-5
DOI: 10.35111/qa6w-kx44
Language:English
Language (ISO639):eng
License:First DIHARD Challenge - SEEDLingS Agreement (For-Profit): https://catalog.ldc.upenn.edu/license/first-dihard-challenge-seedlings-agreement-for-profit.pdf
First DIHARD Challenge - SEEDLingS Agreement (Non-Member): https://catalog.ldc.upenn.edu/license/first-dihard-challenge-seedlings-agreement-non-member.pdf
First DIHARD Challenge - SEEDLingS Agreement (Not-For-Profit): https://catalog.ldc.upenn.edu/license/first-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/LDC2019S13
Rights Holder:Portions © 2019 Duke University, © 2019 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:LDC2019S13
DateStamp:  2020-11-30
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Ryant, Neville; Liberman, Mark; Fiumara, James; Cieri, Christopher. 2019. 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: Fri Dec 6 7:48:53 EST 2024