Second DIHARD Challenge Evaluation - Eleven Sources

Item Name: Second DIHARD Challenge Evaluation - Eleven Sources
Author(s): Neville Ryant, Mark Liberman, James Fiumara, Christopher Cieri
LDC Catalog No.: LDC2022S06
ISBN: 1-58563-993-1
ISLRN: 488-416-648-851-9
Release Date: June 15, 2022
Member Year(s): 2022
DCMI Type(s): Software, Sound, Text
Sample Type: pcm
Sample Rate: 16000
Data Source(s): broadcast conversation, meeting speech, microphone conversation, microphone speech, telephone conversations, telephone speech, web collection
Application(s): diarization, speech activity detection
Language(s): Mandarin Chinese, English
Language ID(s): cmn, eng
License(s): LDC User Agreement for Non-Members
Online Documentation: LDC2022S06 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Ryant, Neville, et al. Second DIHARD Challenge Evaluation - Eleven Sources LDC2022S06. Web Download. Philadelphia: Linguistic Data Consortium, 2022.
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Second DIHARD Challenge Evaluation - Eleven Sources was developed by the Linguistic Data Consortium (LDC) and contains approximately 20 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.


This release, when combined with Second DIHARD Challenge Evaluation - SEEDLingS (LDC2022S07), contains the evaluation set audio data and annotation, except for CHiME-5 audio files, must be obtained from the University of Sheffield.

Data sources in this release are as follows (all sources are in English unless otherwise indicated):

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.


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