OLAC Record
oai:www.ldc.upenn.edu:LDC2022S07

Metadata
Title:Second 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. Second DIHARD Challenge Evaluation - SEEDLingS LDC2022S07. Web Download. Philadelphia: Linguistic Data Consortium, 2022
Contributor:Ryant, Neville
Liberman, Mark
Fiumara, James
Cieri, Christopher
Date (W3CDTF):2022
Date Issued (W3CDTF):2022-07-15
Description:*Introduction* Second 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 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 web 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. This release, when combined with Second DIHARD Challenge Evaluation - Eleven Sources (LDC2022S06), contains the evaluation set audio data and annotation, except for CHiME-5 audio files which must be obtained from the University of Sheffield. 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. *Updates* None at this time.
Extent:Corpus size: 122381 KB
Format:Sampling Rate: 16000
Sampling Format: pcm
Identifier:LDC2022S07
https://catalog.ldc.upenn.edu/LDC2022S07
ISBN: 1-58563-994-X
ISLRN: 696-222-566-357-0
DOI: 10.35111/mfam-hf33
Language:English
Language (ISO639):eng
License:Second DIHARD Challenge Evaluation - SEEDLingS Agreement (For-Profit): https://catalog.ldc.upenn.edu/license/second-dihard-challenge-evaluation-seedlings-agreement-for-profit.pdf
Second DIHARD Challenge Evaluation - SEEDLingS Agreement (Non-Member): https://catalog.ldc.upenn.edu/license/second-dihard-challenge-seedlings-agreement-non-member-1.pdf
Second DIHARD Challenge Evaluation - SEEDLingS Agreement (Not-For-Profit): https://catalog.ldc.upenn.edu/license/second-dihard-challenge-evaluation-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/LDC2022S07
Rights Holder:Portions © 2019, 2022 Duke University, © 2019, 2022 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:LDC2022S07
DateStamp:  2023-11-03
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_Europe country_GB dcmi_Software dcmi_Sound dcmi_Text iso639_eng olac_primary_text


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